{"id":2870,"date":"2020-08-17T20:30:19","date_gmt":"2020-08-18T00:30:19","guid":{"rendered":"https:\/\/dcp.ufl.edu\/iadapt\/?page_id=2870"},"modified":"2022-06-17T09:40:32","modified_gmt":"2022-06-17T13:40:32","slug":"publications","status":"publish","type":"page","link":"https:\/\/dcp.ufl.edu\/iadapt\/publications\/","title":{"rendered":"Research Publications"},"content":{"rendered":"<div class=\"wpv-view-output\" data-toolset-views-view-editor=\"1c6e8de5b5903932feab9d73f906d960\">\n<div class=\"wp-block-toolset-views-view-editor wpv-gutenberg-view-wrapper-2854\"><form autocomplete=\"off\" name=\"wpv-filter-2854\" action=\"\/iadapt\/wp-json\/wp\/v2\/pages\/2870?wpv_view_count=2854\" method=\"get\" class=\"wpv-filter-form js-wpv-filter-form js-wpv-filter-form-2854 js-wpv-form-full js-wpv-dps-enabled js-wpv-ajax-results-submit-enabled\" data-viewnumber=\"2854\" data-viewid=\"2854\" data-viewhash=\"eyJuYW1lIjoicmVzZWFyY2gtcHVibGljYXRpb25zLWFyY2hpdmUiLCJvcmRlciI6ImRlc2MiLCJjYWNoZWQiOiJvZmYifQ==\" data-viewwidgetid=\"0\" data-orderby=\"\" data-order=\"\" data-orderbyas=\"\" data-orderbysecond=\"\" data-ordersecond=\"\" data-parametric=\"{&quot;query&quot;:&quot;normal&quot;,&quot;id&quot;:&quot;2854&quot;,&quot;view_id&quot;:&quot;2854&quot;,&quot;widget_id&quot;:0,&quot;view_hash&quot;:&quot;2854&quot;,&quot;action&quot;:&quot;\\\/iadapt\\\/wp-json\\\/wp\\\/v2\\\/pages\\\/2870?wpv_view_count=2854&quot;,&quot;sort&quot;:{&quot;orderby&quot;:&quot;&quot;,&quot;order&quot;:&quot;&quot;,&quot;orderby_as&quot;:&quot;&quot;,&quot;orderby_second&quot;:&quot;&quot;,&quot;order_second&quot;:&quot;&quot;},&quot;orderby&quot;:&quot;&quot;,&quot;order&quot;:&quot;&quot;,&quot;orderby_as&quot;:&quot;&quot;,&quot;orderby_second&quot;:&quot;&quot;,&quot;order_second&quot;:&quot;&quot;,&quot;ajax_form&quot;:&quot;&quot;,&quot;ajax_results&quot;:&quot;&quot;,&quot;effect&quot;:&quot;fade&quot;,&quot;prebefore&quot;:&quot;&quot;,&quot;before&quot;:&quot;&quot;,&quot;after&quot;:&quot;&quot;,&quot;attributes&quot;:{&quot;order&quot;:&quot;desc&quot;,&quot;cached&quot;:&quot;off&quot;},&quot;environment&quot;:{&quot;current_post_id&quot;:2870,&quot;parent_post_id&quot;:2870,&quot;parent_term_id&quot;:0,&quot;parent_user_id&quot;:0,&quot;archive&quot;:{&quot;type&quot;:&quot;&quot;,&quot;name&quot;:&quot;&quot;,&quot;data&quot;:[]}},&quot;loop&quot;:{&quot;type&quot;:&quot;&quot;,&quot;name&quot;:&quot;&quot;,&quot;data&quot;:[],&quot;id&quot;:0}}\" data-attributes=\"{&quot;order&quot;:&quot;desc&quot;,&quot;cached&quot;:&quot;off&quot;}\" data-environment=\"{&quot;current_post_id&quot;:2870,&quot;parent_post_id&quot;:2870,&quot;parent_term_id&quot;:0,&quot;parent_user_id&quot;:0,&quot;archive&quot;:{&quot;type&quot;:&quot;&quot;,&quot;name&quot;:&quot;&quot;,&quot;data&quot;:[]}}\"><input type=\"hidden\" class=\"js-wpv-dps-filter-data js-wpv-filter-data-for-this-form\" data-action=\"\/iadapt\/wp-json\/wp\/v2\/pages\/2870?wpv_view_count=2854\" data-page=\"1\" data-ajax=\"disable\" data-effect=\"fade\" data-maxpages=\"0\" data-ajaxprebefore=\"\" data-ajaxbefore=\"\" data-ajaxafter=\"\" \/><input class=\"wpv_view_count wpv_view_count-2854\" type=\"hidden\" name=\"wpv_view_count\" value=\"2854\" \/>\n\n<div class=\"form-group category rc-mg rp-search-hide\">\n\t<label for=\"wpv-research-category\" class=\"rc-mg-hd\"><b>Choose Publications by Category<\/b><\/label>\n\t<select name=\"wpv-research-category\" class=\"filter-options rp-filter-overide js-wpv-filter-trigger form-control\"><option selected='selected' value=\"0\">All<\/option><option value=\"adaptation-planning\">Adaptation Planning (34)<\/option><option value=\"community-and-infrastructure-resilience\">Community and Infrastructure Resilience (22)<\/option><option value=\"covid-19-and-urban-planning\">Covid-19 and urban planning (6)<\/option><option value=\"geographic-information-systems-gis\">Geographic information systems (GIS) (32)<\/option><option value=\"micromobility-and-public-transportation\">Micromobility and Public Transportation (17)<\/option><option value=\"public-health-and-the-built-environment\">Public Health and the Built Environment (27)<\/option><option value=\"transportation-and-environment\">Transportation and Environment (54)<\/option><option value=\"transportation-planning-modeling-and-analysis\">Transportation planning, modeling and analysis (86)<\/option><option value=\"unmanned-aerial-vehicles-uav\">Unmanned Aerial Vehicles (UAV) (18)<\/option><option value=\"urban-analytics\">Urban Analytics (27)<\/option><\/select>\n\t<button type=\"submit\" class=\"btn-secondary rp-sort-button wpv-submit-trigger js-wpv-submit-trigger btn\">Submit<\/button>\n<\/div>\n<\/form>\n<div id=\"wpv-view-layout-2854\" class=\"js-wpv-view-layout js-wpv-layout-responsive js-wpv-view-layout-2854\" data-viewnumber=\"2854\" data-pagination=\"{&quot;id&quot;:&quot;2854&quot;,&quot;query&quot;:&quot;normal&quot;,&quot;type&quot;:&quot;disabled&quot;,&quot;effect&quot;:&quot;fade&quot;,&quot;duration&quot;:&quot;500&quot;,&quot;speed&quot;:&quot;5&quot;,&quot;pause_on_hover&quot;:&quot;disabled&quot;,&quot;stop_rollover&quot;:&quot;false&quot;,&quot;cache_pages&quot;:&quot;enabled&quot;,&quot;preload_images&quot;:&quot;enabled&quot;,&quot;preload_pages&quot;:&quot;enabled&quot;,&quot;preload_reach&quot;:&quot;1&quot;,&quot;spinner&quot;:&quot;builtin&quot;,&quot;spinner_image&quot;:&quot;https:\/\/dcp.ufl.edu\/iadapt\/wp-content\/plugins\/wp-views\/embedded\/res\/img\/ajax-loader2.svg&quot;,&quot;callback_next&quot;:&quot;&quot;,&quot;manage_history&quot;:&quot;enabled&quot;,&quot;has_controls_in_form&quot;:&quot;disabled&quot;,&quot;infinite_tolerance&quot;:0,&quot;max_pages&quot;:0,&quot;page&quot;:1,&quot;base_permalink&quot;:&quot;\/iadapt\/wp-json\/wp\/v2\/pages\/2870?wpv_view_count=2854&amp;wpv_paged=WPV_PAGE_NUM&quot;,&quot;loop&quot;:{&quot;type&quot;:&quot;&quot;,&quot;name&quot;:&quot;&quot;,&quot;data&quot;:[],&quot;id&quot;:0}}\" data-permalink=\"\/iadapt\/wp-json\/wp\/v2\/pages\/2870?wpv_view_count=2854\">\n\n\t\n\t\n\n\t<ul class=\"wpv-loop js-wpv-loop ol-pm-overide\" >\n\t\t\n\t\t\t<li><p>Lu, D. N., He, H. D., Zhao, H. M., Lu, K. F., Peng, Z. R., &amp; Li, J. (2023). Quantification of traffic-related carbon emission on elevated roads through on-road measurement.\u00a0<i>Environmental Research<\/i>, 116200.<a href=\"https:\/\/doi.org\/10.1016\/j.envres.2023.116200\">https:\/\/doi.org\/10.1016\/j.envres.2023.116200<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Yang, W., Cao, R., Ma, F., Wang, Z., Hu, X., Cai, M., &#8230; &amp; Zhang, L. (2023). High-resolution distributions of traffic particles and personal inhalation dose estimation at different pedestrian overpasses.\u00a0<i>Atmospheric Pollution Research<\/i>, 101786.<a href=\"https:\/\/doi.org\/10.1016\/j.apr.2023.101786\">https:\/\/doi.org\/10.1016\/j.apr.2023.101786<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, X., Shi, X. Q., Peng, Z. R., &amp; He, H. D. (2023). Quantifying the effects of urban fabric and vegetation combination pattern to mitigate particle pollution in near-road areas using machine learning.\u00a0<i>Sustainable Cities and Society<\/i>,\u00a0<i>93<\/i>, 104524. <a href=\"https:\/\/doi.org\/10.1016\/j.scs.2023.104524\">https:\/\/doi.org\/10.1016\/j.scs.2023.104524<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wu, C. L., Song, R. F., Zhu, X. H., Peng, Z. R., Fu, Q. Y., &amp; Pan, J. (2023). A hybrid deep learning model for regional O3 and NO2 concentrations prediction based on spatiotemporal dependencies in air quality monitoring network.\u00a0<i>Environmental Pollution<\/i>, 121075.\u00a0 <a href=\"https:\/\/doi.org\/10.1016\/j.envpol.2023.121075\">https:\/\/doi.org\/10.1016\/j.envpol.2023.121075<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Fang, X. R., Zhu, X. H., Li, X. Z., Peng, Z. R., Qingyao, H., He, H. D., &#8230; &amp; Cheng, H. (2023). Assessing the effects of short-term traffic restriction policies on traffic-related air pollutants.\u00a0<i>Science of The Total Environment<\/i>, 161451. <a href=\"https:\/\/doi.org\/10.1016\/j.scitotenv.2023.161451\">https:\/\/doi.org\/10.1016\/j.scitotenv.2023.161451<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Yang, X., Li, X., Lu, K., &amp; Peng, Z. R. (2022). Integrating rural livelihood resilience and sustainability for post-disaster community relocation: a theoretical framework and empirical study.\u00a0<i>Natural Hazards<\/i>, 1-29.\u00a0<a href=\"https:\/\/doi.org\/10.1007\/s11069-022-05739-4\">https:\/\/doi.org\/10.1007\/s11069-022-05739-4<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhu, X. H., Lu, K. F., Peng, Z. R., &amp; Gao, H. O. (2022). Characterizing carbon emissions from China V and China VI gasoline vehicles based on portable emission measurement systems.\u00a0<i>Journal of Cleaner Production<\/i>,\u00a0<i>378<\/i>, 134458. <a href=\"https:\/\/doi.org\/10.1016\/j.jclepro.2022.134458\">https:\/\/doi.org\/10.1016\/j.jclepro.2022.134458<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, X., Shi, X. Q., Li, X. B., &amp; Peng, Z. R. (2022). Quantification of multifactorial effects on particle distributions at urban neighborhood scale using machine learning and unmanned aerial vehicle measurement.\u00a0<i>Journal of Cleaner Production<\/i>,\u00a0<i>378<\/i>, 134494. <a href=\"https:\/\/doi.org\/10.1016\/j.jclepro.2022.134494\">https:\/\/doi.org\/10.1016\/j.jclepro.2022.134494<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhao, H. M., He, H. D., Lu, K. F., Han, X. L., &amp; Peng, Z. R. (2022). Characterizing the distribution pattern of submicron and coarse particles on high-density container truck roads through mobile monitoring.\u00a0<i>Atmospheric Pollution Research<\/i>, 101561.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.apr.2022.101561\">https:\/\/doi.org\/10.1016\/j.apr.2022.101561<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, T., Peng, Z.R., He, H. D., Zhang, S.J., Wu, Y., Horizontal profiles of size-segregated particle number concentration and black carbon beside a major roadway. Atmospheric Environment: X, 100187. <a href=\"https:\/\/doi.org\/10.1016\/j.aeaoa.2022.100187\">https:\/\/doi.org\/10.1016\/j.aeaoa.2022.100187<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lei, C., Xu, J.Q., Chen, H., Sun, D.Q., Wang, B., Zheng, Y.N., Yang, X.D., &amp; Peng, Z.R. (2022). Evaluation of the Spatial Effect of Network Resilience in the Yangtze River Delta: An Integrated Framework for Regional Collaboration and Governance under Disruption. Land 11, no. 8: 1359. <a href=\"https:\/\/doi.org\/10.3390\/land1108135\">https:\/\/doi.org\/10.3390\/land1108135<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, X., Peng, Z. R., Zhang, L. Y., &amp; Chen, Q. (2022). Real-time and Coordinated UAV Path Planning for Road Traffic Surveillance: A Penalty-based Boundary Intersection Approach.\u00a0<i>International Journal of Control, Automation and Systems<\/i>, 1-14.\u00a0<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s12555-020-0565-8\">https:\/\/link.springer.com\/article\/10.1007\/s12555-020-0565-8<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, C., &amp; Peng, Z. R. (2022). Spatial distributions of particulate matter in neighborhoods along the highway using unmanned aerial vehicle in Shanghai.\u00a0<i>Building and Environment<\/i>,\u00a0<i>211<\/i>, 108754.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2022.108754\">https:\/\/doi.org\/10.1016\/j.buildenv.2022.108754<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, Z., He, H. D., Yang, J. M., Wang, H. W., Xue, Y., &amp; Peng, Z. R. (2022). Spatiotemporal evolution of NO2 diffusion in Beijing in response to COVID-19 lockdown using complex network.\u00a0<i>Chemosphere<\/i>,\u00a0<i>293<\/i>, 133631.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.chemosphere.2022.133631\">https:\/\/doi.org\/10.1016\/j.chemosphere.2022.133631<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, B., Cao, R., He, H. D., Peng, Z. R., Qin, H., &amp; Qin, Q. (2022). Three-dimensional diffusion patterns of traffic-related air pollutants on the roadside based on unmanned aerial vehicles monitoring. Building and Environment, 109159.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2022.109159\">https:\/\/doi.org\/10.1016\/j.buildenv.2022.109159<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, D., Wang, H.-W., Lu, K.-F., Peng, Z.-R., &amp;amp; Zhao, J. (2022). Regional prediction of ozone and fine particulate matter using diffusion convolutional recurrent neural network. International Journal of Environmental Research and Public Health, 19(7), 3988.\u00a0<a href=\"https:\/\/doi.org\/10.3390\/ijerph19073988\">https:\/\/doi.org\/10.3390\/ijerph19073988<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Jiang, Y. H., Li, B., Li, X. B., Wang, D. S., &amp; Peng, Z. R. (2022). Identification of the atmospheric boundary layer structure through vertical distribution of PM2. 5 obtained by unmanned aerial vehicle measurements. Atmospheric Environment, 119084.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.atmosenv.2022.119084\">https:\/\/doi.org\/10.1016\/j.atmosenv.2022.119084<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, K. F., Wang, H. W., Li, X. B., Peng, Z. R., He, H. D., &amp; Wang, Z. P. (2022). Assessing the effects of non-local traffic restriction policy on urban air quality.\u00a0<i>Transport Policy<\/i>,\u00a0<i>115<\/i>, 62-74.\u00a0\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.tranpol.2021.11.005\">https:\/\/doi.org\/10.1016\/j.tranpol.2021.11.005<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhu, X. H., Lu, K. F., Peng, Z. R., He, H. D., &amp; Xu, S. Q. (2022). Spatiotemporal variations of carbon dioxide (CO2) at Urban neighborhood scale: Characterization of distribution patterns and contributions of emission sources. Sustainable Cities and Society, 78, 103646.<a href=\"https:\/\/doi.org\/10.1016\/j.scs.2021.103646\">https:\/\/doi.org\/10.1016\/j.scs.2021.103646<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, X., Shi, X. Q., He, H. D., &amp; Peng, Z. R. (2022). Distribution characteristics of submicron particle influenced by vegetation in residential areas using instrumented unmanned aerial vehicle measurements.\u00a0<i>Sustainable Cities and Society<\/i>,\u00a0<i>78<\/i>, 103616.\u00a0 <a href=\"https:\/\/doi.org\/10.1016\/j.scs.2021.103616\" target=\"_blank\" rel=\"noopener\">doi.org\/10.1016\/j.scs.2021.103616<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, X., Shi, X. Q., He, H. D., Li, X. B., &amp; Peng, Z. R. (2021). Vertical distribution characteristics of particulate matter beside an elevated expressway by unmanned aerial vehicle measurements.\u00a0<i>Building and Environment<\/i>,\u00a0<i>206<\/i>, 108330. <a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2021.108330.\">https:\/\/doi.org\/10.1016\/j.buildenv.2021.108330.<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>J, Y., Peng, Z., &amp; L, L. (2021). Real-Time Spatiotemporal Prediction and Imputation of Traffic Status Based on LSTM and Graph Laplacian Regularized Matrix Factorization. Transportation Research Part C, 129(203228). <a href=\"https:\/\/doi.org\/10.1016\/j.trc.2021.103228\">https:\/\/doi.org\/10.1016\/j.trc.2021.103228<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., Liu, M., Fu, X., &amp; Peng, Z. R. (2021). American Inequality Meets COVID-19: Uneven Spread of the Disease across Communities. Annals of the American Association of Geographers, 1-21. <a href=\"https:\/\/doi.org\/10.1080\/24694452.2020.1866489\">https:\/\/doi.org\/10.1080\/24694452.2020.1866489<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Huang, H., Yang, H., Chen, Y., Chen, T., Bai, L., &amp; Peng, Z. (2021). Urban Green Space Optimization Based on a Climate Health Risk Appraisal-A case study of Beijing city, China. Urban Forestry &amp; Urban Greening, 127154. <a href=\"https:\/\/doi.org\/10.1016\/j.ufug.2021.127154\">https:\/\/doi.org\/10.1016\/j.ufug.2021.127154 <\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Tanvir, M. R. A., &amp; Peng, Z. R. (2021). Spatio-temporal variability in black carbon concentrations at highway toll plaza: Comparison between manual and electronic toll lanes. Atmospheric Pollution Research, 12(1), 286-294. <a href=\"https:\/\/doi.org\/10.1016\/j.apr.2020.09.010\">https:\/\/doi.org\/10.1016\/j.apr.2020.09.010<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zheng, T., Li, B., Li, X. B., Wang, Z., Li, S. Y., &amp; Peng, Z. R. (2021). Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations.\u00a0<i>Building and Environment<\/i>,\u00a0<i>187<\/i>, 107401. <a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2020.107401\">https:\/\/doi.org\/10.1016\/j.buildenv.2020.107401<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zheng, T., Wang, H. W., Li, X. B., Peng, Z. R., &amp; He, H. D. (2021). Impacts of traffic on roadside particle variations in varied temporal scales.\u00a0<i>Atmospheric Environment<\/i>,\u00a0<i>253<\/i>, 118354. <a href=\"https:\/\/doi.org\/10.1016\/j.atmosenv.2021.118354\">https:\/\/doi.org\/10.1016\/j.atmosenv.2021.118354<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Luo, Z. G., Wang, Z. Y., Wang, H. W., He, H. D., &amp; Peng, Z. R. (2021). Characterizing spatiotemporal distributions of black carbon and PM2. 5 at a toll station: Observations on manual and electronic toll collection lanes.\u00a0<i>Building and Environment<\/i>, 107933. <a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2021.107933\">https:\/\/doi.org\/10.1016\/j.buildenv.2021.107933<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Jia, Y. P., Lu, K. F., Zheng, T., Li, X. B., Liu, X., Peng, Z. R., &amp; He, H. D. (2021). Effects of roadside green infrastructure on particle exposure: A focus on cyclists and pedestrians on pathways between urban roads and vegetative barriers.\u00a0<i>Atmospheric Pollution Research<\/i>,\u00a0<i>12<\/i>(3), 1-12. <a href=\"https:\/\/doi.org\/10.1016\/j.apr.2021.01.017\">https:\/\/doi.org\/10.1016\/j.apr.2021.01.017<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Han, Y., Chen, C., Peng, Z. R., &amp; Mozumder, P. (2021). Evaluating impacts of coastal flooding on the transportation system using an activity-based travel demand model: a case study in Miami-Dade County, FL.\u00a0<i>Transportation<\/i>, 1-22. <a href=\"https:\/\/doi.org\/10.1007\/s11116-021-10172-w\">https:\/\/doi.org\/10.1007\/s11116-021-10172-w<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zheng, T., Jia, Y. P., Zhang, S., Li, X. B., Wu, Y., Wu, C. L., &#8230; &amp; Peng, Z. R. (2021). Impacts of vegetation on particle concentrations in roadside environments.\u00a0<i>Environmental Pollution<\/i>,\u00a0<i>282<\/i>, 117067. <a href=\"https:\/\/doi.org\/10.1016\/j.envpol.2021.117067\">https:\/\/doi.org\/10.1016\/j.envpol.2021.117067<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Kapucu, N., Beaudet, S., Chang, N. B., Qiu, J., &amp; Peng, Z. R. (2021). Partnerships and Network Governance for Urban Food-Energy-Water (FEW) Nexus. International Journal of Public Administration, 1-14. <a href=\"https:\/\/doi.org\/10.1080\/01900692.2021.1967981\">https:\/\/doi.org\/10.1080\/01900692.2021.1967981<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., Peng, Z. R., &amp; Bai, X. (2021). Prototypical Resilience Projects for Postdisaster Recovery Planning: From Theory to Action.\u00a0<i>Journal of Planning Education and Research<\/i>, 0739456X211048928. <a href=\"https:\/\/doi.org\/10.1177\/0739456X211048928\">https:\/\/doi.org\/10.1177\/0739456X211048928<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Huang, H., Yang, H., Chen, Y., Chen, T., Bai, L., &amp; Peng, Z. R. (2021). Urban green space optimization based on a climate health risk appraisal\u2013A case study of Beijing city, China.\u00a0<i>Urban Forestry &amp; Urban Greening<\/i>,\u00a0<i>62<\/i>, 127154. <a href=\"https:\/\/doi.org\/10.1016\/j.ufug.2021.127154\">https:\/\/doi.org\/10.1016\/j.ufug.2021.127154<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Han, Y., Mao, L., Chen, X., Zhai, W., Peng, Z. R., &amp; Mozumder, P. (2021). Agent\u2010based Modeling to Evaluate Human\u2013Environment Interactions in Community Flood Risk Mitigation.\u00a0<i>Risk Analysis<\/i>. <a href=\"https:\/\/doi.org\/10.1111\/risa.13854\">https:\/\/doi.org\/10.1111\/risa.13854<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wu, C. L., Wang, H. W., Cai, W. J., Ni, A. N., &amp; Peng, Z. R. (2021). Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China. Building and environment, 194, 107718. <a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2021.107718\">https:\/\/doi.org\/10.1016\/j.buildenv.2021.107718<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Song, R. F., Wang, D. S., Li, X. B., Li, B., &amp; Peng, Z. R. (2021). Characterizing vertical distribution patterns of PM2. 5 in low troposphere of Shanghai city, China: Implications from the perspective of unmanned aerial vehicle observations.\u00a0<i>Atmospheric Environment<\/i>,\u00a0<i>265<\/i>, 118724.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.atmosenv.2021.118724\">https:\/\/doi.org\/10.1016\/j.atmosenv.2021.118724<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Cai, Jin, W., Wang, H., Wu, C., Lu, K., Peng, Z., &amp; He, H. (2021). Characterizing the Interruption-Recovery Patterns of Urban Air Pollution under the COVID-19 Lockdown in China. Building and Environment, 205(108231).\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2021.108231\">https:\/\/doi.org\/10.1016\/j.buildenv.2021.108231<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/doi.org\/10.1177\/0308518X20946041\">Where to buy a house in the United States amid COVID-19?<\/a>.\u00a0<i>Environment and Planning A: Economy and Space<\/i>, 0308518X20946041.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, X. B., Peng, Z. R., Lu, Q. C., Wang, D., Hu, X. M., Wang, D., &#8230; &amp; He, H. (2020).<a href=\"https:\/\/doi.org\/10.1016\/j.atmosenv.2019.117134\"> Evaluation of unmanned aerial system in measuring lower tropospheric ozone and fine aerosol particles using portable monitors<\/a>.\u00a0<i>Atmospheric Environment<\/i>,\u00a0<i>222<\/i>, 117134.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Yu, H., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/doi.org\/10.1177\/0042098019828180\">The impacts of built environment on ridesourcing demand: A neighbourhood level analysis in Austin, Texas.<\/a>\u00a0<i>Urban Studies<\/i>,\u00a0<i>57<\/i>(1), 152-175.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Gao, Y., Wang, Z., Li, C. Y., Zheng, T., &amp; Peng, Z. R. (2020). Assessing neighborhood variations in ozone and PM2. 5 concentrations using decision tree method.\u00a0<i>Building and Environment<\/i>, 107479. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0360132320308465?casa_token=Liy6I4rWw9YAAAAA:GZcj3Sw3knX__TVnPhkBOKK9jX_0T4tiUKpxt3GGGLhflI9R7TMYkcvnV8lL3JDNbEqVQTDrZGo\">https:\/\/doi.org\/10.1016\/j.buildenv.2020.107479<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Tanvir, M. R. A., &amp; Peng, Z. R. (2020). Spatio-temporal variability in black carbon concentrations at highway toll plaza: Comparison between manual and electronic toll lanes.\u00a0<i>Atmospheric Pollution Research<\/i>. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1309104220302798?casa_token=WqYxl7Jnm7YAAAAA:Uzcpw-_W_G_QkCtcO4lGoSoZH8iYEy_pctNatD8mQxf6t2vzYqdjKa0fC_ZexfwWVJURlndauTQ\">https:\/\/doi.org\/10.1016\/j.apr.2020.09.010<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Cao, R., Li, B., Wang, H. W., Tao, S., Peng, Z. R., &amp; He, H. D. (2020). Vertical and Horizontal Profiles of Particulate Matter and Black Carbon Near Elevated Highways Based on Unmanned Aerial Vehicle Monitoring.\u00a0<i>Sustainability<\/i>,\u00a0<i>12<\/i>(3), 1204. <a href=\"https:\/\/www.mdpi.com\/2071-1050\/12\/3\/1204\">https:\/\/doi.org\/10.3390\/su12031204<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Tanvir, M. R. A., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1309104220302798?via%3Dihub\">Spatio-temporal variability in black carbon concentrations at highway toll plaza: Comparison between manual and electronic toll lanes<\/a>. <em>Atmospheric Pollution Research.<\/em><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Han, Y., Ash, K., Mao, L., &amp; Peng, Z. R. (2020). An agent-based model for community flood adaptation under uncertain sea-level rise.\u00a0<i>Climatic Change<\/i>, 1-20. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10584-020-02802-6#article-info\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/s10584-020-02802-6<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, H. W., Li, X. B., Wang, D., Zhao, J., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.jclepro.2019.119841\">Regional prediction of ground-level ozone using a hybrid sequence-to-sequence deep learning approach<\/a>.\u00a0<i>Journal of Cleaner Production<\/i>,\u00a0<i>253<\/i>, 119841.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.apgeog.2020.102252\">Damage assessment using Google Street View: Evidence from Hurricane Michael in Mexico Beach, Florida<\/a>.\u00a0<i>Applied Geography<\/i>,\u00a0<i>123<\/i>, 102252.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Chen, Q., Li, X. B., Song, R., Wang, H. W., Li, B., He, H. D., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.apr.2020.04.002\">Development and utilization of hexacopter unmanned aerial vehicle platform to characterize vertical distribution of boundary layer ozone in wintertime<\/a>.\u00a0<i>Atmospheric Pollution Research<\/i>.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, H. W., Peng, Z. R., Wang, D., Meng, Y., Wu, T., Sun, W., &amp; Lu, Q. C. (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.trc.2020.102619\">Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach<\/a>.\u00a0<i>Transportation Research Part C: Emerging Technologies<\/i>,\u00a0<i>115<\/i>, 102619.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., Liu, M., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/doi.org\/10.1177\/0308518X20932576\">Social distancing and inequality in the United States amid COVID-19 outbreak<\/a>.\u00a0<i>Environment and Planning A: Economy and Space<\/i>, 0308518X20932576.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Cao, R., Li, B., Wang, Z., Peng, Z. R., Tao, S., &amp; Lou, S. (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.envpol.2020.114549\">Using a distributed air sensor network to investigate the spatiotemporal patterns of PM2. 5 concentrations<\/a>.\u00a0<i>Environmental Pollution<\/i>, 114549.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., Peng, Z. R., &amp; Yuan, F. (2020).<a href=\"https:\/\/doi.org\/10.1016\/j.ijdrr.2020.101611\"> Examine the effects of neighborhood equity on disaster situational awareness: Harness machine learning and geotagged Twitter data<\/a>.\u00a0<i>International Journal of Disaster Risk Reduction<\/i>, 101611.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, K. F., He, H. D., Wang, H. W., Li, X. B., &amp; Peng, Z. R. (2020). <a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2020.106678\">Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas<\/a>.\u00a0<i>Building and Environment<\/i>,\u00a0<i>172<\/i>, 106678.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Chen, Q., Wang, D., Li, X., Li, B., Song, R., He, H., &amp; Peng, Z. (2019). <a href=\"https:\/\/doi.org\/10.3390\/su11247026\">Vertical Characteristics of Winter Ozone Distribution within the Boundary Layer in Shanghai Based on Hexacopter Unmanned Aerial Vehicle Platform<\/a>.\u00a0<i>Sustainability<\/i>,\u00a0<i>11<\/i>(24), 7026.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, C., Wang, Z., Li, B., Peng, Z. R., &amp; Fu, Q. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2018.06.038\">Investigating the relationship between air pollution variation and urban form.<\/a>\u00a0<i>Building and Environment<\/i>,\u00a0<i>147<\/i>, 559-568.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Tang, J., Zhu, Y., Huang, Y., Peng, Z. R., &amp; Wang, Z. (2019). Identification and interpretation of spatial\u2013temporal mismatch between taxi demand and supply using global positioning system data.\u00a0<i>Journal of Intelligent Transportation Systems<\/i>,\u00a0<i>23<\/i>(4), 403-415. DOI: 10.1080\/15472450.2018.1518137<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, X., Peng, Z. R., &amp; Zhang, L. Y. (2019). <a href=\"https:\/\/doi.org\/10.1007\/s10846-018-0806-8\">Real-time uav rerouting for traffic monitoring with decomposition based multi-objective optimization.<\/a>\u00a0<i>Journal of Intelligent &amp; Robotic Systems<\/i>,\u00a0<i>94<\/i>(2), 491-501.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Tang, J., Zhu, Y., Huang, Y., Peng, Z. R., &amp; Wang, Z. (2019). Identification and interpretation of spatial\u2013temporal mismatch between taxi demand and supply using global positioning system data.\u00a0<i>Journal of Intelligent Transportation Systems<\/i>,\u00a0<i>23<\/i>(4), 403-415. DOI<span class=\"doi_link\">: <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/15472450.2018.1518137?journalCode=gits20\" target=\"_blank\" rel=\"noopener\">10.1080\/15472450.2018.1518137.<\/a><\/span><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., Bai, X., Peng, Z. R., &amp; Gu, C. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.jtrangeo.2019.102502\">A bottom-up transportation network efficiency measuring approach: A case study of taxi efficiency in New York City<\/a>.\u00a0<i>Journal of Transport Geography<\/i>,\u00a0<i>80<\/i>, 102502.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., Bai, X., Shi, Y., Han, Y., Peng, Z. R., &amp; Gu, C. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.compenvurbsys.2018.11.008\">Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs.<\/a>\u00a0<i>Computers, Environment and Urban Systems<\/i>,\u00a0<i>74<\/i>, 1-12.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Fu, X., &amp; Peng, Z. R. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.cities.2018.10.007\">Assessing the sea-level rise vulnerability in coastal communities: A case study in the Tampa Bay Region, US.<\/a>\u00a0<i>Cities<\/i>,\u00a0<i>88<\/i>, 144-154.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, B., Li, X. B., Li, C., Zhu, Y., Peng, Z. R., Wang, Z., &amp; Lu, S. J. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.trd.2018.01.030\">Impacts of wind fields on the distribution patterns of traffic emitted particles in urban residential areas.<\/a>\u00a0<i>Transportation Research Part D: Transport and Environment<\/i>,\u00a0<i>68<\/i>, 122-136.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Fu, X., Sun, B., Frank, K., &amp; Peng, Z. R. (2019). <a href=\"https:\/\/doi.org\/10.1007\/s10584-019-02488-5\">Evaluating sea-level rise vulnerability assessments in the USA.<\/a>\u00a0<i>Climatic Change<\/i>,\u00a0<i>155<\/i>(3), 393-415.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, B., Cao, R., Wang, Z., Song, R. F., Peng, Z. R., Xiu, G., &amp; Fu, Q. (2019). <a href=\"https:\/\/doi.org\/10.1177%2F0361198119847991\">Use of Multi-Rotor Unmanned Aerial Vehicles for Fine-Grained Roadside Air Pollution Monitoring.<\/a>\u00a0<i>Transportation Research Record<\/i>,\u00a0<i>2673<\/i>(7), 169-180.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhai, W., Bai, X., Peng, Z. R., &amp; Gu, C. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.jtrangeo.2019.05.003\">From edit distance to augmented space-time-weighted edit distance: Detecting and clustering patterns of human activities in Puget Sound region.<\/a>\u00a0<i>Journal of Transport Geography<\/i>,\u00a0<i>78<\/i>, 41-55.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Yu, H., &amp; Peng, Z. R. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.jtrangeo.2019.01.004\">Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression.<\/a>\u00a0<i>Journal of Transport Geography<\/i>,\u00a0<i>75<\/i>, 147-163.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Yu, H., &amp; Peng, Z. R. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.jtrangeo.2019.01.004\">Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression.<\/a> Journal of Transport Geography, 75, 147-163.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Han, Y., &amp; Peng, Z. R. (2019). <a href=\"https:\/\/doi.org\/10.1016\/j.compenvurbsys.2019.04.001\">The integration of local government, residents, and insurance in coastal adaptation: An agent-based modeling approach<\/a>.\u00a0<i>Computers, Environment and Urban Systems<\/i>,\u00a0<i>76<\/i>, 69-79.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Song, J., Fu, X., Wang, R., Peng, Z. R., &amp; Gu, Z. (2018). Does planned retreat matter? Investigating land use change under the impacts of flooding induced by sea level rise.\u00a0<i>Mitigation and Adaptation Strategies for Global Change<\/i>,\u00a0<i>23<\/i>(5), 703-733. <a href=\"https:\/\/link.springer.com\/article\/10.1007%2Fs11027-017-9756-x#article-info\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/s11027-017-9756-x\u00a0<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, H. W., Peng, Z. R., Lu, Q. C., Sun, D. J., &amp; Bai, C. (2018). Assessing effects of bus service quality on passengers\u2019 taxi-hiring behavior.\u00a0<i>Transport<\/i>,\u00a0<i>33<\/i>(4), 1030-1044. <a href=\"https:\/\/journals.vgtu.lt\/index.php\/Transport\/article\/view\/180\" target=\"_blank\" rel=\"noopener\">doi: 10.3846\/16484142.2016.1275786<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, X. B., Wang, D. S., Lu, Q. C., Peng, Z. R., &amp; Wang, Z. Y. (2018). Investigating vertical distribution patterns of lower tropospheric PM2. 5 using unmanned aerial vehicle measurements.\u00a0<i>Atmospheric Environment<\/i>,\u00a0<i>173<\/i>, 62-71. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1352231017307549?via%3Dihub\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.atmosenv.2017.11.009<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, Z., Wang, D., Peng, Z. R., Cai, M., Fu, Q., &amp; Wang, D. (2018). Performance assessment of a portable nephelometer for outdoor particle mass measurement.\u00a0<i>Environmental Science: Processes &amp; Impacts<\/i>,\u00a0<i>20<\/i>(2), 370-383. DOI: <a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2018\/EM\/C7EM00336F#!divAbstract\">10.1039\/C7EM00336F<\/a>.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Jiang, R., Lu, Q. C., &amp; Peng, Z. R. (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.jtrangeo.2017.09.009\">A station-based rail transit network vulnerability measure considering land use dependency.<\/a>\u00a0<i>Journal of Transport Geography<\/i>,\u00a0<i>66<\/i>, 10-18.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, B., Zhu, Y., Wang, Z., Li, C., Peng, Z. R., &amp; Ge, L. (2018). <a href=\"https:\/\/doi.org\/10.3390\/rs10050728\">Use of multi-rotor unmanned aerial vehicles for radioactive source search.<\/a>\u00a0<i>Remote Sensing<\/i>,\u00a0<i>10<\/i>(5), 728.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, Z., Zhong, S., Peng, Z. R., &amp; Cai, M. (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.buildenv.2018.04.042\">Fine-scale variations in PM2. 5 and black carbon concentrations and corresponding influential factors at an urban road intersection.<\/a> Building and Environment, 141, 215-225.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, X. B., Wang, D., Lu, Q. C., Peng, Z. R., Fu, Q., Hu, X. M., &#8230; &amp; Wang, D. S. (2018). Three-dimensional analysis of ozone and PM 2.5 distributions obtained by observations of tethered balloon and unmanned aerial vehicle in Shanghai, China.\u00a0<i>Stochastic Environmental Research and Risk Assessment<\/i>,\u00a0<i>32<\/i>(5), 1189-1203. DOI:<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00477-018-1524-2\">1007\/s00477-018-1524-2<\/a>.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Yu, H., Jiao, J., Houston, E., &amp; Peng, Z. R. (2018). <a href=\"https:\/\/doi.org\/10.1016\/j.jtrangeo.2018.01.008\">Evaluating the relationship between rail transit and industrial agglomeration: An observation from the Dallas-fort worth region, TX.<\/a>\u00a0<i>Journal of Transport Geography<\/i>,\u00a0<i>67<\/i>, 33-52.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, Z., Lu, Q. C., He, H. D., Wang, D., Gao, Y., &amp; Peng, Z. R. (2017). Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection.\u00a0<i>Frontiers of Earth Science<\/i>,\u00a0<i>11<\/i>(1), 63-75. <a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11707-016-0564-5.pdf\" target=\"_blank\" rel=\"noopener\">doi: 10.1007\/s11707-016-0564-5<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Jiang, B., Liang, S., Peng, Z. R., Cong, H., Levy, M., Cheng, Q., &#8230; &amp; Remais, J. V. (2017). Transport and public health in China: the road to a healthy future.\u00a0<i>The Lancet<\/i>,\u00a0<i>390<\/i>(10104), 1781-1791. <a href=\"https:\/\/www.thelancet.com\/journals\/lancet\/article\/PIIS0140-6736(17)31958-X\/fulltext\" target=\"_blank\" rel=\"noopener\">http:\/\/dx.doi.org\/10.1016\/S0140-6736(17)31958-X<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhao, L., Song, J., &amp; Peng, Z. R. (2017). Modeling land-use change and population relocation dynamics in response to different sea level rise scenarios: Case study in Bay County, Florida.\u00a0<i>Journal of Urban Planning and Development<\/i>,\u00a0<i>143<\/i>(3), 04017012. <a href=\"https:\/\/ascelibrary.org\/doi\/10.1061\/%28ASCE%29UP.1943-5444.0000398\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1061\/(ASCE)UP.1943-5444.0000398<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Deng, Y., Young, C., Fu, X., Song, J., &amp; Peng, Z. R. (2017). The integrated impacts of human activities and rising sea level on the saltwater intrusion in the east coast of the Yucatan Peninsula, Mexico.\u00a0<i>Natural Hazards<\/i>,\u00a0<i>85<\/i>(2), 1063-1088. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11069-016-2621-5\" target=\"_blank\" rel=\"noopener\">doi:10.1007\/s11069-016-2621-5<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Gao, Y., Wang, Z., Lu, Q. C., Liu, C., Peng, Z. R., &amp; Yu, Y. (2017). Prediction of vertical PM 2.5 concentrations alongside an elevated expressway by using the neural network hybrid model and generalized additive model.\u00a0<i>Frontiers of Earth Science<\/i>,\u00a0<i>11<\/i>(2), 347-360. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11707-016-0593-0\" target=\"_blank\" rel=\"noopener\">doi: 10.1007\/s11707-016-0593-0<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Fu, X., Gomaa, M., Deng, Y., &amp; Peng, Z. R. (2017). Adaptation planning for sea level rise: a study of US coastal cities.\u00a0<i>Journal of environmental planning and management<\/i>,\u00a0<i>60<\/i>(2), 249-265. <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/09640568.2016.1151771?journalCode=cjep20\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/09640568.2016.1151771<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, C., Yuan, M., Gu, C., Peng, Z., &amp; Ming, T. (2017). A review of the theory and practice of regional resilience.\u00a0<i>Sustainable Cities and Society<\/i>,\u00a0<i>29<\/i>, 86-96. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S2210670716306953?via%3Dihub\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.scs.2016.12.003<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, L., Lu, Q. C., Chang, Y. T., &amp; Peng, Z. R. (2017). A Compositional Analysis of Unbalanced Usages of Multiple Left-turn Lanes.\u00a0<i>Promet-Traffic&amp;Transportation<\/i>,\u00a0<i>29<\/i>(3), 287-298. <a href=\"https:\/\/traffic.fpz.hr\/index.php\/PROMTT\/article\/view\/2093\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.7307\/ptt.v29i3.2093<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Song, J., Fu, X., Gu, Y., Deng, Y., &amp; Peng, Z. R. (2017). An examination of land use impacts of flooding induced by sea level rise.\u00a0<i>Natural Hazards &amp; Earth System Sciences<\/i>,\u00a0<i>17<\/i>(3). <a href=\"https:\/\/www.researchgate.net\/profile\/Jie_Song36\/publication\/314301299_An_examination_of_land_use_impacts_of_flooding_induced_by_sea_level_rise\/links\/58c1469492851c2adfee8974\/An-examination-of-land-use-impacts-of-flooding-induced-by-sea-level-rise.pdf\" target=\"_blank\" rel=\"noopener\">doi:10.5194\/nhess-17-315-2017<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, X. B., Wang, D. S., Lu, Q. C., Peng, Z. R., Lu, S. J., Li, B., &amp; Li, C. (2017). Three-dimensional investigation of ozone pollution in the lower troposphere using an unmanned aerial vehicle platform.\u00a0<i>Environmental pollution<\/i>,\u00a0<i>224<\/i>, 107-116. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0269749116321157\" target=\"_blank\" rel=\"noopener\">doi: 10.1016\/j.envpol.2017.01.064<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Sun, B., Yu, H., Peng, Z. R., &amp; Gao, Y. (2017). High-Speed Rail and Manufacturing Agglomeration: Evidence from Beijing\u2013Guangzhou High-Speed Rail in China.\u00a0<i>Transportation Research Record<\/i>,\u00a0<i>2606<\/i>(1), 86-95. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2606-12\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3141%2F2606-12<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Fu, X., Song, J., Sun, B., &amp; Peng, Z. R. (2016). \u201cLiving on the edge\u201d: Estimating the economic cost of sea level rise on coastal real estate in the Tampa Bay region, Florida.\u00a0<i>Ocean &amp; Coastal Management<\/i>,\u00a0<i>133<\/i>, 11-17. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S096456911630196X\" target=\"_blank\" rel=\"noopener\">doi: 10.1016\/j.ocecoaman.2016.09.009.<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Song, J., Peng, Z. R., Zhao, L., &amp; Hsu, C. H. (2016). Developing a theoretical framework for integrated vulnerability of businesses to sea level rise.\u00a0<i>Natural Hazards<\/i>,\u00a0<i>84<\/i>(2), 1219-1239. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11069-016-2483-x\" target=\"_blank\" rel=\"noopener\">doi: 10.1007\/s11069-016-2483-x<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Shen, S., Feng, X., &amp; Peng, Z. R. (2016). A framework to analyze vulnerability of critical infrastructure to climate change: the case of a coastal community in Florida.\u00a0<i>Natural Hazards<\/i>,\u00a0<i>84<\/i>(1), 589-609. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11069-016-2442-6\" target=\"_blank\" rel=\"noopener\">doi: 10.1007\/s11069-016-2442-6<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, C., Henderson, B. H., Wang, D., Yang, X., &amp; Peng, Z. R. (2016). A land use regression application into assessing spatial variation of intra-urban fine particulate matter (PM2. 5) and nitrogen dioxide (NO2) concentrations in City of Shanghai, China.\u00a0<i>Science of The Total Environment<\/i>,\u00a0<i>565<\/i>, 607-615. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S004896971630609X\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/j.scitotenv.2016.03.189<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Li, X. B., Lu, Q. C., Lu, S. J., He, H. D., Peng, Z. R., Gao, Y., &amp; Wang, Z. Y. (2016). The impacts of roadside vegetation barriers on the dispersion of gaseous traffic pollution in urban street canyons.\u00a0<i>Urban forestry &amp; urban greening<\/i>,\u00a0<i>17<\/i>, 80-91. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1618866715301242\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/j.ufug.2016.03.006<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>WANG, H. W., CHENG, K., LU, Q. C., &amp; PENG, Z. R. (2016). <a href=\"https:\/\/www.researchgate.net\/publication\/341381677_Improved_M_odel_of_Start-Wave_Velocity_at_Intersections_Based_on_Unmanned_Aerial_Vehicle_Data\" target=\"_blank\" rel=\"noopener\">Improved Model of Start-Wave Velocity at Intersections Based on Unmanned Aerial Vehicle Data<\/a>.\u00a0<i>Journal of Donghua University (Eng. Ed.) Vol<\/i>,\u00a0<i>33<\/i>(1).<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhao, L., &amp; Peng, Z. R. (2015). LandSys II: agent-based land use\u2013forecast model with artificial neural networks and multiagent model.\u00a0<i>Journal of Urban Planning and Development<\/i>,\u00a0<i>141<\/i>(4), 04014045. <a href=\"https:\/\/ascelibrary.org\/doi\/abs\/10.1061\/%28ASCE%29UP.1943-5444.0000255\" target=\"_blank\" rel=\"noopener\">doi:1061\/(ASCE)UP.1943-5444.0000255<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., Wang, D., Wang, Z., Gao, Y., &amp; Lu, S. (2015). A study of vertical distribution patterns of PM2. 5 concentrations based on ambient monitoring with unmanned aerial vehicles: A case in Hangzhou, China.\u00a0<i>Atmospheric Environment<\/i>,\u00a0<i>123<\/i>, 357-369. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1352231015304908\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/j.atmosenv.2015.10.074<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, Z., He, H. D., Lu, F., Lu, Q. C., &amp; Peng, Z. R. (2015). Hybrid model for prediction of carbon monoxide and fine particulate matter concentrations near a road intersection.\u00a0<i>Transportation Research Record<\/i>,\u00a0<i>2503<\/i>(1), 29-38. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2503-04\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/2503-04<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, Z., Lu, F., Lu, Q. C., Wang, D., &amp; Peng, Z. R. (2015). Fine-scale estimation of carbon monoxide and fine particulate matter concentrations in proximity to a road intersection by using wavelet neural network with genetic algorithm.\u00a0<i>Atmospheric Environment<\/i>,\u00a0<i>104<\/i>, 264-272. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1352231014010061\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/j.atmosenv.2014.12.058<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, C., Ming, T., Tao, Y., &amp; Peng, Z. (2015). Numerical analysis on the thermal environment of an old city district during urban renewal.\u00a0<i>Energy and Buildings<\/i>,\u00a0<i>89<\/i>, 18-31. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378778814010743\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/j.enbuild.2014.12.023<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Bai, C., Peng, Z. R., Lu, Q. C., &amp; Sun, J. (2015). Dynamic bus travel time prediction models on road with multiple bus routes.\u00a0<i>Computational intelligence and neuroscience<\/i>,\u00a0<i>2015<\/i>. <a href=\"https:\/\/www.hindawi.com\/journals\/cin\/2015\/432389\/\">http:\/\/dx.doi.org\/10.1155\/2015\/432389.<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Sun, D. J., Xu, Y., &amp; Peng, Z. R. (2015). Timetable optimization for single bus line based on hybrid vehicle size model.\u00a0<i>Journal of Traffic and Transportation Engineering (English Edition)<\/i>,\u00a0<i>2<\/i>(3), 179-186. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2095756415000288?via%3Dihub\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.jtte.2015.03.006<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, C., Ming, T., Cheng, J., Wu, Y., &amp; Peng, Z. R. (2015). Modeling Thermal Comfort and Optimizing Local Renewal Strategies\u2014A Case Study of Dazhimen Neighborhood in Wuhan City.\u00a0<i>Sustainability<\/i>,\u00a0<i>7<\/i>(3), 3109-3128. <a href=\"https:\/\/www.mdpi.com\/2071-1050\/7\/3\/3109\" target=\"_blank\" rel=\"noopener\">doi:10.3390\/su7033109<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, Q. C., Peng, Z. R., &amp; Zhang, J. (2015). Identification and prioritization of critical transportation infrastructure: case study of coastal flooding.\u00a0<i>Journal of Transportation Engineering<\/i>,\u00a0<i>141<\/i>(3), 04014082. <a href=\"https:\/\/ascelibrary.org\/doi\/abs\/10.1061\/%28ASCE%29TE.1943-5436.0000743\" target=\"_blank\" rel=\"noopener\">doi:10.1061\/(ASCE)TE.1943-5436.0000743<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Ni, X. Y., Sun, D., &amp; Peng, Z. R. (2015). An improved incremental assignment model for parking variable message sign location problem.\u00a0<i>Journal of Advanced Transportation<\/i>,\u00a0<i>49<\/i>(7), 817-828. <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/atr.1305\" target=\"_blank\" rel=\"noopener\">doi:10.1002\/atr.1305<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, B., Su, S., Peng, Z., &amp; Yang, F. (2015). Coastal wetlands impact assessment of sea level rise. <em>Tongji Daxue Xuebao\/Journal of Tongji University<\/em>. 43 (4) 569-575. DOI:\u00a0<a class=\"nova-e-link nova-e-link--color-inherit nova-e-link--theme-decorated\" href=\"https:\/\/www.researchgate.net\/publication\/282279869_Coastal_wetlands_impact_assessment_of_sea_level_rise\" target=\"_blank\" rel=\"noopener\">10.11908\/j.issn.0253-374x.2015.04.013.<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wang, Q., Liu, Z., &amp; Peng, Z. (2015). <a href=\"http:\/\/www.cnki.com.cn\/Article\/CJFDTotal-HGDY201503002.htm\" target=\"_blank\" rel=\"noopener\">A PSO-SVM Model for short-term travel time prediction based on Bluetooth Technology<\/a>.\u00a0<i>J. Harbin Inst. Technol<\/i>,\u00a0<i>22<\/i>, 7-14.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Chen, X. Z., Lu, Q. C., Peng, Z. R., &amp; Ash, J. E. (2015). Analysis of transportation network vulnerability under flooding disasters.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2532<\/i>(1), 37-44. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2532-05\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3141%2F2532-05<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, Q. C., Peng, Z. R., Zhang, L., &amp; Wang, Z. (2014). Economic analyses of sea-level rise adaptation strategies in transportation considering spatial autocorrelation.\u00a0<i>Transportation Research Part D: Transport and Environment<\/i>,\u00a0<i>33<\/i>, 87-94. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1361920914001308\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/j.trd.2014.09.004<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, Q. C., Zhang, J., Peng, Z. R., &amp; Rahman, A. S. (2014). Inter-city travel behaviour adaptation to extreme weather events.\u00a0<i>Journal of Transport Geography<\/i>,\u00a0<i>41<\/i>, 148-153. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0966692314001781\" target=\"_blank\" rel=\"noopener\">doi: 10.1016\/j.jtrangeo.2014.08.016<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lin-Jun, Y., Ya-Lan, L., Zhong-Ren, P., Meng Meng, L., &amp; Yu-Huan, R. (2014, March). A Modelling Framework for estimating Road Segment Based On-Board Vehicle Emissions. In\u00a0<i>IOP Conference Series: Earth and Environmental Science (EES)<\/i> (Vol. 17, No. 1). <a href=\"https:\/\/iopscience.iop.org\/article\/10.1088\/1755-1315\/17\/1\/012253\" target=\"_blank\" rel=\"noopener\">doi:10.1088\/1755-1315\/17\/1\/012253<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, D. Z., Peng, Z. R., &amp; Sun, D. J. (2014). <a href=\"http:\/\/www.cnki.com.cn\/Article\/CJFDTotal-HGDY201401002.htm\" target=\"_blank\" rel=\"noopener\">A comprehensive taxi assessment index using floating car data<\/a>.\u00a0<i>Journal of Harbin Institute of Technology<\/i>,\u00a0<i>21<\/i>(1), 7-16.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhao, L., Peng, Z. R., Yang, F., &amp; Shen, S. (2014). A bid-rent land-use adaptation model for mitigating road network vulnerability and traffic emissions.\u00a0<i>International Journal of Environmental Science and Technology<\/i>,\u00a0<i>11<\/i>(8), 2359-2368. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s13762-014-0642-8\" target=\"_blank\" rel=\"noopener\">doi: 10.1007\/s13762-014-0642-8<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, D. Z., &amp; Peng, Z. R. (2014). Near-road fine particulate matter concentration estimation using artificial neural network approach.\u00a0<i>International Journal of Environmental Science and Technology<\/i>,\u00a0<i>11<\/i>(8), 2403-2412. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s13762-014-0565-4\" target=\"_blank\" rel=\"noopener\">doi: 10.1007\/s13762-014-0565-4<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T. D., Hao, Y., Peng, Z. R., &amp; Sun, L. J. (2014). Corrigendum: Modeling probabilistic traffic breakdown on congested freeway flow.\u00a0<i>Canadian Journal of Civil Engineering<\/i>,\u00a0<i>41<\/i>(2), 181-181. <a href=\"https:\/\/www.nrcresearchpress.com\/doi\/full\/10.1139\/cjce-2014-0009#.Xz7EmTNKhPY\" target=\"_blank\" rel=\"noopener\">doi:10.1139\/cjce2014-0009<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T., Hao, Y., Peng, Z., &amp; Sun, L. (2013). Anticipatory traveller information system for freeway-arterial networks.\u00a0<i>IET Intelligent Transport Systems<\/i>,\u00a0<i>8<\/i>(3), 286-297. <a href=\"https:\/\/digital-library.theiet.org\/content\/journals\/10.1049\/iet-its.2012.0067\" target=\"_blank\" rel=\"noopener\">doi:10.1049\/iet-its.2012.0067<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T. D., Hao, Y., Peng, Z. R., &amp; Sun, L. J. (2013). Modeling probabilistic traffic breakdown on congested freeway flow.\u00a0<i>Canadian Journal of Civil Engineering<\/i>,\u00a0<i>40<\/i>(10), 999-1008. <a href=\"https:\/\/www.nrcresearchpress.com\/doi\/abs\/10.1139\/cjce-2012-0067?journalCode=cjce#.Xz7DtDNKhPY\" target=\"_blank\" rel=\"noopener\">doi:10.1139\/cjce-2012-0067<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>CHANG, J. J., PENG, Z. R., &amp; SUN, J. (2013). <a href=\"https:\/\/www.researchgate.net\/profile\/Daniel_Jian_Sun\/publication\/277882417_Freight_vehicle_routing_optimization_for_sporadic_orders_using_floating_car_data\/links\/561a240a08ae044edbb16669\/Freight-vehicle-routing-optimization-for-sporadic-orders-using-floating-car-data.pdf\" target=\"_blank\" rel=\"noopener\">Freight Vehicle Routing Optimization for Sporadic Orders Using Floating Car Data<\/a>.\u00a0<i>Journal of Donghua University (Eng. Ed.) Vol<\/i>,\u00a0<i>30<\/i>(2).<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, D. Z., Sun, J., &amp; Peng, Z. R. (2013). <a href=\"http:\/\/en.cnki.com.cn\/Article_en\/CJFDTotal-YSXT201301016.htm\" target=\"_blank\" rel=\"noopener\">Urban taxi goodness index and system implementation of GIS<\/a>.\u00a0<i>J Transp Syst Eng Inf Technol<\/i>,\u00a0<i>13<\/i>(1), 87-96.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Linjun, Y., Danfeng, S., Zhongren, P., &amp; Hong, L. I. (2013). A cellular automata land use model based on localized transition rules.\u00a0<i>Geographical Research<\/i>,\u00a0<i>32<\/i>(4), 671-682.(In Chinese). <a href=\"http:\/\/geoscien.iga.ac.cn\/EN\/abstract\/abstract11527.shtml\" target=\"_blank\" rel=\"noopener\">doi: 10.11821\/yj2013040010<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Liu, X. F., Peng, Z. R., Chang, Y. T., &amp; Zhang, L. Y. (2012). Multi-objective evolutionary approach for UAV cruise route planning to collect traffic information.\u00a0<i>Journal of central south university<\/i>,\u00a0<i>19<\/i>(12), 3614-3621. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11771-012-1449-8\" target=\"_blank\" rel=\"noopener\">doi: 10.1007\/s11771-012-1449-8<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Jian, S. U. N., Zhang, L., Chunlu, P. E. N. G., Zhongren, P. E. N. G., &amp; Meng, X. U. (2012). CA-based urban land use prediction model: a case study on orange county, Florida, US.\u00a0<i>Journal of Transportation Systems Engineering and Information Technology<\/i>,\u00a0<i>12<\/i>(6), 85-92. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1570667211602341\" target=\"_blank\" rel=\"noopener\">doi: 10.1016\/S1570-6672(11)60234-1<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, X., Li, X., Hu, Y., &amp; Peng, Z. (2012). A novel algorithm to identifying vehicle travel path in elevated road area based on GPS trajectory data.\u00a0<i>Frontiers of Earth Science<\/i>,\u00a0<i>6<\/i>(4), 354-363. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11707-012-0340-0\" target=\"_blank\" rel=\"noopener\">doi:10.1007\/s11707-012-0340-0<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Yu, L. J., Sun, D. F., Peng, Z. R., &amp; Zhang, J. (2012). A hybrid system of expanding 2D GIS into 3D space.\u00a0<i>Cartography and Geographic Information Science<\/i>,\u00a0<i>39<\/i>(3), 140-153. <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1559\/15230406393140\" target=\"_blank\" rel=\"noopener\">doi:10.1559\/15230406393140<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T. D., Hao, Y., Peng, Z. R., &amp; Sun, L. J. (2012). Real-time travel time predictor for route guidance consistent with driver behavior.\u00a0<i>Canadian Journal of Civil Engineering<\/i>,\u00a0<i>39<\/i>(10), 1113-1124. <a href=\"https:\/\/www.nrcresearchpress.com\/doi\/abs\/10.1139\/l2012-092#.Xz7B5DNKhPY\" target=\"_blank\" rel=\"noopener\">doi:1139\/l2012-092<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhao, L., &amp; Peng, Z. R. (2012). LandSys: an agent-based Cellular Automata model of land use change developed for transportation analysis.\u00a0<i>Journal of Transport Geography<\/i>,\u00a0<i>25<\/i>, 35-49. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S096669231200172X\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/jtrangeo.2012.07.006<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, Q. C. (2012). <a href=\"https:\/\/search.proquest.com\/docview\/1015179051?pq-origsite=gscholar&amp;fromopenview=true\" target=\"_blank\" rel=\"noopener\">China&#8217;s public transportation: problems, policies, and prospective of sustainability<\/a>.\u00a0<i>Institute of Transportation Engineers. ITE Journal<\/i>,\u00a0<i>82<\/i>(5), 36.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, L. Y., Peng, Z. R., Sun, D., &amp; Liu, X. (2012). Rule-based forecasting of traffic flow for large-scale road networks.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2279<\/i>(1), 3-11. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2279-01\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3141%2F2279-01<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, Q. C., Peng, Z. R., &amp; Du, R. (2012). Economic analysis of impacts of sea level rise and adaptation strategies in transportation.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2273<\/i>(1), 54-61. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.3141\/2273-07\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/2273-07<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T., Hao, Y., Peng, Z., &amp; Sun, L. (2012). Automatic Calibration of Behavioral Parameters for Variable Message Sign\u2013Based Route Guidance Consistent with Driver Behavior.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2321<\/i>(1), 55-65. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2321-08\" target=\"_blank\" rel=\"noopener\">doi: 10.3141\/2321-08<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T. D., Sun, L. J., Peng, Z. R., &amp; Hao, Y. (2011). Modelling drivers\u2019 en-route diversion behaviour under variable message sign messages using real detected traffic data.\u00a0<i>IET intelligent transport systems<\/i>,\u00a0<i>5<\/i>(4), 294-301. <a href=\"https:\/\/digital-library.theiet.org\/content\/journals\/10.1049\/iet-its.2011.0060\" target=\"_blank\" rel=\"noopener\">doi:10.1049\/iet-its.2011.0060<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T. D., Sun, L. J., Peng, Z. R., &amp; Hao, Y. (2011). Integrated route guidance and ramp metering consistent with drivers&#8217; en-route diversion behaviour.\u00a0<i>IET intelligent transport systems<\/i>,\u00a0<i>5<\/i>(4), 267-276. <a href=\"https:\/\/digital-library.theiet.org\/content\/journals\/10.1049\/iet-its.2011.0073\" target=\"_blank\" rel=\"noopener\">doi:10.1049\/iet-its.2011.0073<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Jian Daniel, S. U. N., Qiong, L. I. U., &amp; Zhongren, P. E. N. G. (2011). Research and analysis on causality and spatial-temporal evolution of urban traffic congestions\u2014a case study on Shenzhen of China.\u00a0<i>Journal of Transportation Systems Engineering and Information Technology<\/i>,\u00a0<i>11<\/i>(5), 86-93. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1570667210601432\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/S1570-6672(10)60143-2<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, X., &amp; Peng, Z. (2011, June). The K-function analysis of space-time point pattern on road network. In\u00a0<i>2011 19th International Conference on Geoinformatics<\/i> (pp. 1-5). IEEE. <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/5981103?casa_token=tz3HUJqVxG0AAAAA:qBrY606xeml4A35zeKHOFwSZRzsACaXD30LZDuGBOQ92jSXGIKXcR7LwAqeuLwMBxRDiFBHLbA\" target=\"_blank\" rel=\"noopener\">doi:10.1109\/GeoInformatics.2011.5981103<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Xu, T., Sun, L., &amp; Peng, Z. R. (2011). Empirical analysis and modeling of drivers\u2019 response to variable message signs in shanghai, china.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2243<\/i>(1), 99-107. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.3141\/2243-12\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/2243-12<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Sun, D., Peng, Z. R., Shan, X., Chen, W., &amp; Zeng, X. (2011). Development of web-based transit trip-planning system based on service-oriented architecture.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2217<\/i>(1), 87-94. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2217-11\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/2217-11<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Lu, Q. C., &amp; Peng, Z. R. (2011). Vulnerability analysis of transportation network under scenarios of sea level rise.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2263<\/i>(1), 174-181. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2263-19\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/2263-19<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Bin, Y., Li, Y., &amp; Peng, Z. R. (2010). Multiple trip information based spatial domain optimisation for power management of plug-in hybrid electric vehicles.\u00a0<i>International Journal of Electric and Hybrid Vehicles<\/i>,\u00a0<i>2<\/i>(4), 259-281. <a href=\"https:\/\/www.inderscienceonline.com\/doi\/abs\/10.1504\/IJEHV.2010.03498\" target=\"_blank\" rel=\"noopener\">doi:10.1504\/IJEHV.2010.03498<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhao, L., &amp; Peng, Z. R. (2010). Integrated bilevel model to explore interaction between land use allocation and transportation.\u00a0<i>Transportation research record<\/i>,\u00a0<i>2176<\/i>(1), 14-25. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2176-02\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/2176-02<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Gong, Q., Li, Y., &amp; Peng, Z. R. (2009). <a href=\"https:\/\/www.jstor.org\/stable\/26308326#metadata_info_tab_contents\" target=\"_blank\" rel=\"noopener\">Trip based optimal power management of plug-in hybrid electric vehicle with advanced traffic modeling<\/a>.\u00a0<i>SAE International journal of engines<\/i>,\u00a0<i>1<\/i>(1), 861-872.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, C., Peng, Z. R., Zhao, T., &amp; Li, W. (2008). Transforming transportation data models from UML to OWL ontological representation.\u00a0<i>Journal of Transport Research Board: Transport Research Record<\/i>,\u00a0<i>2064<\/i>, 81-89. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/2064-11\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/2064-11<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., Zhu, Y., &amp; Song, S. (2008). Mobility of the Chinese urban poor: a case study of Hefei City.\u00a0<i>Chinese Economy<\/i>,\u00a0<i>41<\/i>(1), 36-57. <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.2753\/CES1097-1475410102\" target=\"_blank\" rel=\"noopener\">doi:10.2753\/CES-1097-1475410102<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Huang, R., &amp; Peng, Z. R. (2008). A spatiotemporal data model for dynamic transit networks.\u00a0<i>International Journal of Geographical Information Science<\/i>,\u00a0<i>22<\/i>(5), 527-545. <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/13658810701492399?journalCode=tgis20\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/13658810701492399<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., &amp; Kim, E. (2008). A standard-based integration framework for distributed transit trip planning systems.\u00a0<i>Journal of Intelligent Transportation Systems<\/i>,\u00a0<i>12<\/i>(1), 13-28. <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/15472450701849642\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/15472450701849642<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhao, T., Zhang, C., Wei, M., &amp; Peng, Z. R. (2008, September). Ontology-based geospatial data query and integration. In\u00a0<i>International Conference on Geographic Information Science<\/i> (pp. 370-392). Springer, Berlin, Heidelberg. <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-540-87473-7_24#aboutcontent\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/978-3-540-87473-7_24<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Gong, Q., Li, Y., &amp; Peng, Z. R. (2008). Trip-based optimal power management of plug-in hybrid electric vehicles.\u00a0<i>IEEE Transactions on vehicular technology<\/i>,\u00a0<i>57<\/i>(6), 3393-3401. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/4476296\" target=\"_blank\" rel=\"noopener\">doi:10.1109\/TVT.2008.921622<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Pucher, J., Peng, Z. R., Mittal, N., Zhu, Y., &amp; Korattyswaroopam, N. (2007). Urban transport trends and policies in China and India: impacts of rapid economic growth.\u00a0<i>Transport reviews<\/i>,\u00a0<i>27<\/i>(4), 379-410. <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/01441640601089988\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/01441640601089988<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R. (2005). A proposed framework for feature\u2010level geospatial data sharing: a case study for transportation network data.\u00a0<i>International Journal of Geographical Information Science<\/i>,\u00a0<i>19<\/i>(4), 459-481. <a href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/13658810512331319127\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/13658810512331319127<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., Hawks, S., &amp; West, K. (2005). Use of planning support software in transit services: A state-of-practice survey.\u00a0<i>Transportation research record<\/i>,\u00a0<i>1927<\/i>(1), 126-136. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.1177\/0361198105192700115\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1927-15<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., &amp; Zhang, C. (2004). The roles of geography markup language (GML), scalable vector graphics (SVG), and Web feature service (WFS) specifications in the development of Internet geographic information systems (GIS).\u00a0<i>Journal of Geographical Systems<\/i>,\u00a0<i>6<\/i>(2), 95-116. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10109-004-0129-0\" target=\"_blank\" rel=\"noopener\">doi:10.1007\/s10109-004-0129-0<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Sanchez, T. W., Shen, Q., &amp; Peng, Z. R. (2004). Transit mobility, jobs access and low-income labour participation in US metropolitan areas.\u00a0<i>Urban Studies<\/i>,\u00a0<i>41<\/i>(7), 1313-1331. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1080\/0042098042000214815\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/0042098042000214815<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., Guequierre, N., &amp; Blakeman, J. C. (2004). Motorist response to arterial variable message signs.\u00a0<i>Transportation research record<\/i>,\u00a0<i>1899<\/i>(1), 55-63. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.3141\/1899-07\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1899-07<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R. (2003, January). <a href=\"https:\/\/www.researchgate.net\/profile\/Zhong-Ren_Peng\/publication\/228733172_A_Framework_of_Feature-Level_Transportation_Geospatial_Data_Sharing_Systems\/links\/02bfe513479f549c8b000000.pdf\" target=\"_blank\" rel=\"noopener\">A Framework of Feature-Level Transportation Geospatial Data Sharing Systems<\/a>. In\u00a0<i>Transportation Research Board Annual Meeting January<\/i>.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Zhang, C., Li, W., Day, M. J., &amp; Peng, Z. R. (2003). GML-based interoperable geographical databases.\u00a0<i>Cartography<\/i>,\u00a0<i>32<\/i>(2), 1-16. <a href=\"https:\/\/www.tandfonline.com\/doi\/10.1080\/00690805.2003.9714249\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/00690805.2003.9714249<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., &amp; Tsou, M. H. (2003).\u00a0<a href=\"https:\/\/books.google.com\/books?hl=en&amp;lr=&amp;id=sk5UHK-FJM8C&amp;oi=fnd&amp;pg=PR25&amp;dq=Internet+GIS:+Distributed+Geographic+Information+Services+for+the+Internet+and+Wireless+Networks&amp;ots=FxVB8pIMba&amp;sig=9igVMlJmT9yXpV81IrbV2pS0yR4#v=onepage&amp;q=Internet%20GIS%3A%20Distributed%20Geographic%20Information%20Services%20for%20the%20Internet%20and%20Wireless%20Networks&amp;f=false\"><i>Internet GIS: distributed geographic information services for the internet and wireless networks<\/i><\/a>. John Wiley &amp; Sons.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Huang, R., &amp; Peng, Z. R. (2002). Schedule-based path-finding algorithms for transit trip-planning systems.\u00a0<i>Transportation Research Record<\/i>,\u00a0<i>1783<\/i>(1), 142-148. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/1783-18\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1783-18<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Huang, R., &amp; Peng, Z. R. (2002). Object-oriented geographic information system data model for transit trip-planning systems.\u00a0<i>Transportation research record<\/i>,\u00a0<i>1804<\/i>(1), 205-211. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.3141\/1804-27\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1804-27<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., Yu, D., &amp; Beimborn, E. (2002). Transit user perceptions of the benefits of automatic vehicle location.\u00a0<i>Transportation research record<\/i>,\u00a0<i>1791<\/i>(1), 127-133. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.3141\/1791-19\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1791-19<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R. (2001). Internet GIS for public participation.\u00a0<i>Environment and Planning B: Planning and Design<\/i>,\u00a0<i>28<\/i>(6), 889-905. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1068\/b2750t\" target=\"_blank\" rel=\"noopener\">doi:10.1068\/b2750t<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z.-R., &amp; Beimborn, E. (2001). Breakeven Analysis for Statewide Intelligent Transportation System Project Identification and Assessment.\u00a0<i>Transportation Research Record<\/i>,\u00a0<i>1777<\/i>(1), 105\u2013115.\u00a0<a href=\"https:\/\/doi.org\/10.3141\/1777-11\">https:\/\/doi.org\/10.3141\/1777-11<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., &amp; Huang, R. (2000). Design and development of interactive trip planning for web-based transit information systems.\u00a0<i>Transportation Research Part C: Emerging Technologies<\/i>,\u00a0<i>8<\/i>(1-6), 409-425. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0968090X00000164\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/S0968-090X(00)00016-4<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Jan, H. (2000). Peng,\u201cUsing GPS Data to Understand Variations in Path Choice\u201d, retrieved on Apr. 15, 2010 at&lt;&gt;, National Research Council.\u00a0<i>Transportation Research Record<\/i>,\u00a0<i>1725<\/i>, 37-44. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.3141\/1725-06\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1725-06<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Wiggins, L., Deuker, K., Ferreira, J., Merry, C., Peng, Z. R., &amp; Spear, B. (2000). <a href=\"http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.124.1346&amp;rep=rep1&amp;type=pdf#page=51\" target=\"_blank\" rel=\"noopener\">Application challenges for geographic information science: Implications for research, education and policy for transportation planning and management.<\/a>\u00a0<i>URISA-WASHINGTON DC-<\/i>,\u00a0<i>12<\/i>(2), 51-60.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z.-R. (1999). An Assessment Framework for the Development of Internet GIS.\u00a0<i>Environment and Planning B: Planning and Design<\/i>,\u00a0<i>26<\/i>(1), 117\u2013132. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1068\/b260117\" target=\"_blank\" rel=\"noopener\">doi:10.1068\/b260117<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., &amp; Jan, O. (1999). Assessing means of transit information delivery for advanced public transportation systems.\u00a0<i>Transportation research record<\/i>,\u00a0<i>1666<\/i>(1), 92-100. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.3141\/1666-11\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1666-11 (SCI)<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., &amp; Nelson, A. C. (1998). Rural transit services: A local economic and fiscal impact analysis.\u00a0<i>Transportation research record<\/i>,\u00a0<i>1623<\/i>(1), 57-62. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.3141\/1623-08\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1623-08<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., Groff, J. N., &amp; Dueker, K. J. (1998). An Enterprise GIS database design for agency-wide transit applications.\u00a0<i>URISA-WASHINGTON DC-<\/i>,\u00a0<i>10<\/i>, 46-55.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R. (1997). A methodology for design of a GIS-based automatic transit traveler information system.\u00a0<i>Computers, environment and urban systems<\/i>,\u00a0<i>21<\/i>(5), 359-372. <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0198971598000064\" target=\"_blank\" rel=\"noopener\">doi:10.1016\/S0198-9715(98)00006-4<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R. (1997). The jobs-housing balance and urban commuting.\u00a0<i>Urban studies<\/i>,\u00a0<i>34<\/i>(8), 1215-1235. <a href=\"https:\/\/journals.sagepub.com\/doi\/10.1080\/0042098975600\" target=\"_blank\" rel=\"noopener\">doi:10.1080\/0042098975600<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., Dueker, K. J., Strathman, J., &amp; Hopper, J. (1997). A simultaneous route-level transit patronage model: demand, supply, and inter-route relationship.\u00a0<i>Transportation<\/i>,\u00a0<i>24<\/i>(2), 159-181. <a href=\"https:\/\/link.springer.com\/article\/10.1023\/A:1017951902308\" target=\"_blank\" rel=\"noopener\">doi:10.1023\/A:1017951902308<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z. R., &amp; Nebert, D. D. (1997). An Internet-based GIS data access system.\u00a0<i>URISA-WASHINGTON DC-<\/i>,\u00a0<i>9<\/i>, 20-30.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z., Dueker, K. J., &amp; Strathman, J. G. (1996). Residential location, employment location, and commuter responses to parking charges.\u00a0<i>Transportation Research Record<\/i>,\u00a0<i>1556<\/i>(1), 109-118. <a href=\"https:\/\/journals.sagepub.com\/doi\/abs\/10.1177\/0361198196155600113\" target=\"_blank\" rel=\"noopener\">doi:10.3141\/1556-13<\/a><\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Z., &amp; Dueker, K. J. (1995). Spatial data integration in route-level transit demand modeling.\u00a0<i>Journal of the Urban and Regional Information Systems Association<\/i>,\u00a0<i>7<\/i>(1), 26-37.<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t\t\t<li><p>Peng, Zhong-Ren; &amp; Zhou, Xue-Qing (1989). Paradoxes in the Strategic Research. <em>Sciences, Shanghai, PRC<\/em>, 40(2). (in Chinese)<\/p>\n\n\n<p><\/p>\n<br \/><\/li>\n<hr class=\"wp-block-separator is-style-wide\">\n      \n\t<\/ul>\n\t\n<br \/>\n\n\t\n\t\n<\/div><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-2870","page","type-page","status-publish","hentry"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Ferr Bfer","author_link":"https:\/\/dcp.ufl.edu\/iadapt\/author\/dcpsuperadmin\/"},"uagb_comment_info":0,"uagb_excerpt":null,"_links":{"self":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/pages\/2870","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/comments?post=2870"}],"version-history":[{"count":0,"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/pages\/2870\/revisions"}],"wp:attachment":[{"href":"https:\/\/dcp.ufl.edu\/iadapt\/wp-json\/wp\/v2\/media?parent=2870"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}