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Yu, H., & Peng, Z. R. (2020). The impacts of built environment on ridesourcing demand: A neighbourhood level analysis in Austin, Texas. Urban Studies, 57(1), 152-175.
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Zhai, W., & Peng, Z. R. (2020). Damage assessment using Google Street View: Evidence from Hurricane Michael in Mexico Beach, Florida. Applied Geography, 123, 102252.
Chen, Q., Li, X. B., Song, R., Wang, H. W., Li, B., He, H. D., & Peng, Z. R. (2020). Development and utilization of hexacopter unmanned aerial vehicle platform to characterize vertical distribution of boundary layer ozone in wintertime. Atmospheric Pollution Research.
Wang, H. W., Peng, Z. R., Wang, D., Meng, Y., Wu, T., Sun, W., & Lu, Q. C. (2020). Evaluation and prediction of transportation resilience under extreme weather events: A diffusion graph convolutional approach. Transportation Research Part C: Emerging Technologies, 115, 102619.
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Zhai, W., Peng, Z. R., & Yuan, F. (2020). Examine the effects of neighborhood equity on disaster situational awareness: Harness machine learning and geotagged Twitter data. International Journal of Disaster Risk Reduction, 101611.
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Zhai, W., Bai, X., Peng, Z. R., & Gu, C. (2019). From edit distance to augmented space-time-weighted edit distance: Detecting and clustering patterns of human activities in Puget Sound region. Journal of Transport Geography, 78, 41-55.
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Deng, Y., Young, C., Fu, X., Song, J., & 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. Natural Hazards, 85(2), 1063-1088. doi:10.1007/s11069-016-2621-5
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Liu, C., Henderson, B. H., Wang, D., Yang, X., & 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. Science of The Total Environment, 565, 607-615. doi:10.1016/j.scitotenv.2016.03.189
Li, X. B., Lu, Q. C., Lu, S. J., He, H. D., Peng, Z. R., Gao, Y., & Wang, Z. Y. (2016). The impacts of roadside vegetation barriers on the dispersion of gaseous traffic pollution in urban street canyons. Urban forestry & urban greening, 17, 80-91. doi:10.1016/j.ufug.2016.03.006
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Bai, C., Peng, Z. R., Lu, Q. C., & Sun, J. (2015). Dynamic bus travel time prediction models on road with multiple bus routes. Computational intelligence and neuroscience, 2015. http://dx.doi.org/10.1155/2015/432389.
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Ni, X. Y., Sun, D., & Peng, Z. R. (2015). An improved incremental assignment model for parking variable message sign location problem. Journal of Advanced Transportation, 49(7), 817-828. doi:10.1002/atr.1305
Wang, B., Su, S., Peng, Z., & Yang, F. (2015). Coastal wetlands impact assessment of sea level rise. Tongji Daxue Xuebao/Journal of Tongji University. 43 (4) 569-575. DOI: 10.11908/j.issn.0253-374x.2015.04.013.
Wang, Q., Liu, Z., & Peng, Z. (2015). A PSO-SVM Model for short-term travel time prediction based on Bluetooth Technology. J. Harbin Inst. Technol, 22, 7-14.
Chen, X. Z., Lu, Q. C., Peng, Z. R., & Ash, J. E. (2015). Analysis of transportation network vulnerability under flooding disasters. Transportation research record, 2532(1), 37-44. https://doi.org/10.3141%2F2532-05
Lu, Q. C., Peng, Z. R., Zhang, L., & Wang, Z. (2014). Economic analyses of sea-level rise adaptation strategies in transportation considering spatial autocorrelation. Transportation Research Part D: Transport and Environment, 33, 87-94. doi:10.1016/j.trd.2014.09.004
Lu, Q. C., Zhang, J., Peng, Z. R., & Rahman, A. S. (2014). Inter-city travel behaviour adaptation to extreme weather events. Journal of Transport Geography, 41, 148-153. doi: 10.1016/j.jtrangeo.2014.08.016
Lin-Jun, Y., Ya-Lan, L., Zhong-Ren, P., Meng Meng, L., & Yu-Huan, R. (2014, March). A Modelling Framework for estimating Road Segment Based On-Board Vehicle Emissions. In IOP Conference Series: Earth and Environmental Science (EES) (Vol. 17, No. 1). doi:10.1088/1755-1315/17/1/012253
Zhang, D. Z., Peng, Z. R., & Sun, D. J. (2014). A comprehensive taxi assessment index using floating car data. Journal of Harbin Institute of Technology, 21(1), 7-16.
Zhao, L., Peng, Z. R., Yang, F., & Shen, S. (2014). A bid-rent land-use adaptation model for mitigating road network vulnerability and traffic emissions. International Journal of Environmental Science and Technology, 11(8), 2359-2368. doi: 10.1007/s13762-014-0642-8
Zhang, D. Z., & Peng, Z. R. (2014). Near-road fine particulate matter concentration estimation using artificial neural network approach. International Journal of Environmental Science and Technology, 11(8), 2403-2412. doi: 10.1007/s13762-014-0565-4
Xu, T. D., Hao, Y., Peng, Z. R., & Sun, L. J. (2014). Corrigendum: Modeling probabilistic traffic breakdown on congested freeway flow. Canadian Journal of Civil Engineering, 41(2), 181-181. doi:10.1139/cjce2014-0009
Xu, T., Hao, Y., Peng, Z., & Sun, L. (2013). Anticipatory traveller information system for freeway-arterial networks. IET Intelligent Transport Systems, 8(3), 286-297. doi:10.1049/iet-its.2012.0067
Xu, T. D., Hao, Y., Peng, Z. R., & Sun, L. J. (2013). Modeling probabilistic traffic breakdown on congested freeway flow. Canadian Journal of Civil Engineering, 40(10), 999-1008. doi:10.1139/cjce-2012-0067
CHANG, J. J., PENG, Z. R., & SUN, J. (2013). Freight Vehicle Routing Optimization for Sporadic Orders Using Floating Car Data. Journal of Donghua University (Eng. Ed.) Vol, 30(2).
Zhang, D. Z., Sun, J., & Peng, Z. R. (2013). Urban taxi goodness index and system implementation of GIS. J Transp Syst Eng Inf Technol, 13(1), 87-96.
Linjun, Y., Danfeng, S., Zhongren, P., & Hong, L. I. (2013). A cellular automata land use model based on localized transition rules. Geographical Research, 32(4), 671-682.(In Chinese). doi: 10.11821/yj2013040010
Liu, X. F., Peng, Z. R., Chang, Y. T., & Zhang, L. Y. (2012). Multi-objective evolutionary approach for UAV cruise route planning to collect traffic information. Journal of central south university, 19(12), 3614-3621. doi: 10.1007/s11771-012-1449-8
Jian, S. U. N., Zhang, L., Chunlu, P. E. N. G., Zhongren, P. E. N. G., & Meng, X. U. (2012). CA-based urban land use prediction model: a case study on orange county, Florida, US. Journal of Transportation Systems Engineering and Information Technology, 12(6), 85-92. doi: 10.1016/S1570-6672(11)60234-1
Xu, X., Li, X., Hu, Y., & Peng, Z. (2012). A novel algorithm to identifying vehicle travel path in elevated road area based on GPS trajectory data. Frontiers of Earth Science, 6(4), 354-363. doi:10.1007/s11707-012-0340-0
Yu, L. J., Sun, D. F., Peng, Z. R., & Zhang, J. (2012). A hybrid system of expanding 2D GIS into 3D space. Cartography and Geographic Information Science, 39(3), 140-153. doi:10.1559/15230406393140
Xu, T. D., Hao, Y., Peng, Z. R., & Sun, L. J. (2012). Real-time travel time predictor for route guidance consistent with driver behavior. Canadian Journal of Civil Engineering, 39(10), 1113-1124. doi:1139/l2012-092
Zhao, L., & Peng, Z. R. (2012). LandSys: an agent-based Cellular Automata model of land use change developed for transportation analysis. Journal of Transport Geography, 25, 35-49. doi:10.1016/jtrangeo.2012.07.006
Lu, Q. C. (2012). China’s public transportation: problems, policies, and prospective of sustainability. Institute of Transportation Engineers. ITE Journal, 82(5), 36.
Zhang, L. Y., Peng, Z. R., Sun, D., & Liu, X. (2012). Rule-based forecasting of traffic flow for large-scale road networks. Transportation research record, 2279(1), 3-11. https://doi.org/10.3141%2F2279-01
Lu, Q. C., Peng, Z. R., & Du, R. (2012). Economic analysis of impacts of sea level rise and adaptation strategies in transportation. Transportation research record, 2273(1), 54-61. doi:10.3141/2273-07
Xu, T., Hao, Y., Peng, Z., & Sun, L. (2012). Automatic Calibration of Behavioral Parameters for Variable Message Sign–Based Route Guidance Consistent with Driver Behavior. Transportation research record, 2321(1), 55-65. doi: 10.3141/2321-08
Xu, T. D., Sun, L. J., Peng, Z. R., & Hao, Y. (2011). Modelling drivers’ en-route diversion behaviour under variable message sign messages using real detected traffic data. IET intelligent transport systems, 5(4), 294-301. doi:10.1049/iet-its.2011.0060
Xu, T. D., Sun, L. J., Peng, Z. R., & Hao, Y. (2011). Integrated route guidance and ramp metering consistent with drivers’ en-route diversion behaviour. IET intelligent transport systems, 5(4), 267-276. doi:10.1049/iet-its.2011.0073
Jian Daniel, S. U. N., Qiong, L. I. U., & Zhongren, P. E. N. G. (2011). Research and analysis on causality and spatial-temporal evolution of urban traffic congestions—a case study on Shenzhen of China. Journal of Transportation Systems Engineering and Information Technology, 11(5), 86-93. doi:10.1016/S1570-6672(10)60143-2
Xu, X., & Peng, Z. (2011, June). The K-function analysis of space-time point pattern on road network. In 2011 19th International Conference on Geoinformatics (pp. 1-5). IEEE. doi:10.1109/GeoInformatics.2011.5981103
Xu, T., Sun, L., & Peng, Z. R. (2011). Empirical analysis and modeling of drivers’ response to variable message signs in shanghai, china. Transportation research record, 2243(1), 99-107. doi:10.3141/2243-12
Sun, D., Peng, Z. R., Shan, X., Chen, W., & Zeng, X. (2011). Development of web-based transit trip-planning system based on service-oriented architecture. Transportation research record, 2217(1), 87-94. doi:10.3141/2217-11
Lu, Q. C., & Peng, Z. R. (2011). Vulnerability analysis of transportation network under scenarios of sea level rise. Transportation research record, 2263(1), 174-181. doi:10.3141/2263-19
Bin, Y., Li, Y., & Peng, Z. R. (2010). Multiple trip information based spatial domain optimisation for power management of plug-in hybrid electric vehicles. International Journal of Electric and Hybrid Vehicles, 2(4), 259-281. doi:10.1504/IJEHV.2010.03498
Zhao, L., & Peng, Z. R. (2010). Integrated bilevel model to explore interaction between land use allocation and transportation. Transportation research record, 2176(1), 14-25. doi:10.3141/2176-02
Gong, Q., Li, Y., & Peng, Z. R. (2009). Trip based optimal power management of plug-in hybrid electric vehicle with advanced traffic modeling. SAE International journal of engines, 1(1), 861-872.
Zhang, C., Peng, Z. R., Zhao, T., & Li, W. (2008). Transforming transportation data models from UML to OWL ontological representation. Journal of Transport Research Board: Transport Research Record, 2064, 81-89. doi:10.3141/2064-11
Peng, Z. R., Zhu, Y., & Song, S. (2008). Mobility of the Chinese urban poor: a case study of Hefei City. Chinese Economy, 41(1), 36-57. doi:10.2753/CES-1097-1475410102
Huang, R., & Peng, Z. R. (2008). A spatiotemporal data model for dynamic transit networks. International Journal of Geographical Information Science, 22(5), 527-545. doi:10.1080/13658810701492399
Peng, Z. R., & Kim, E. (2008). A standard-based integration framework for distributed transit trip planning systems. Journal of Intelligent Transportation Systems, 12(1), 13-28. doi:10.1080/15472450701849642
Zhao, T., Zhang, C., Wei, M., & Peng, Z. R. (2008, September). Ontology-based geospatial data query and integration. In International Conference on Geographic Information Science (pp. 370-392). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87473-7_24
Gong, Q., Li, Y., & Peng, Z. R. (2008). Trip-based optimal power management of plug-in hybrid electric vehicles. IEEE Transactions on vehicular technology, 57(6), 3393-3401. doi:10.1109/TVT.2008.921622
Pucher, J., Peng, Z. R., Mittal, N., Zhu, Y., & Korattyswaroopam, N. (2007). Urban transport trends and policies in China and India: impacts of rapid economic growth. Transport reviews, 27(4), 379-410. doi:10.1080/01441640601089988
Peng, Z. R. (2005). A proposed framework for feature‐level geospatial data sharing: a case study for transportation network data. International Journal of Geographical Information Science, 19(4), 459-481. doi:10.1080/13658810512331319127
Peng, Z. R., Hawks, S., & West, K. (2005). Use of planning support software in transit services: A state-of-practice survey. Transportation research record, 1927(1), 126-136. doi:10.3141/1927-15
Peng, Z. R., & 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). Journal of Geographical Systems, 6(2), 95-116. doi:10.1007/s10109-004-0129-0
Sanchez, T. W., Shen, Q., & Peng, Z. R. (2004). Transit mobility, jobs access and low-income labour participation in US metropolitan areas. Urban Studies, 41(7), 1313-1331. doi:10.1080/0042098042000214815
Peng, Z. R., Guequierre, N., & Blakeman, J. C. (2004). Motorist response to arterial variable message signs. Transportation research record, 1899(1), 55-63. doi:10.3141/1899-07
Peng, Z. R. (2003, January). A Framework of Feature-Level Transportation Geospatial Data Sharing Systems. In Transportation Research Board Annual Meeting January.
Zhang, C., Li, W., Day, M. J., & Peng, Z. R. (2003). GML-based interoperable geographical databases. Cartography, 32(2), 1-16. doi:10.1080/00690805.2003.9714249
Peng, Z. R., & Tsou, M. H. (2003). Internet GIS: distributed geographic information services for the internet and wireless networks. John Wiley & Sons.
Huang, R., & Peng, Z. R. (2002). Schedule-based path-finding algorithms for transit trip-planning systems. Transportation Research Record, 1783(1), 142-148. doi:10.3141/1783-18
Huang, R., & Peng, Z. R. (2002). Object-oriented geographic information system data model for transit trip-planning systems. Transportation research record, 1804(1), 205-211. doi:10.3141/1804-27
Peng, Z. R., Yu, D., & Beimborn, E. (2002). Transit user perceptions of the benefits of automatic vehicle location. Transportation research record, 1791(1), 127-133. doi:10.3141/1791-19
Peng, Z. R. (2001). Internet GIS for public participation. Environment and Planning B: Planning and Design, 28(6), 889-905. doi:10.1068/b2750t
Peng, Z.-R., & Beimborn, E. (2001). Breakeven Analysis for Statewide Intelligent Transportation System Project Identification and Assessment. Transportation Research Record, 1777(1), 105–115. https://doi.org/10.3141/1777-11
Peng, Z. R., & Huang, R. (2000). Design and development of interactive trip planning for web-based transit information systems. Transportation Research Part C: Emerging Technologies, 8(1-6), 409-425. doi:10.1016/S0968-090X(00)00016-4
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Wiggins, L., Deuker, K., Ferreira, J., Merry, C., Peng, Z. R., & Spear, B. (2000). Application challenges for geographic information science: Implications for research, education and policy for transportation planning and management. URISA-WASHINGTON DC-, 12(2), 51-60.
Peng, Z.-R. (1999). An Assessment Framework for the Development of Internet GIS. Environment and Planning B: Planning and Design, 26(1), 117–132. doi:10.1068/b260117
Peng, Z. R., & Jan, O. (1999). Assessing means of transit information delivery for advanced public transportation systems. Transportation research record, 1666(1), 92-100. doi:10.3141/1666-11 (SCI)
Peng, Z. R., & Nelson, A. C. (1998). Rural transit services: A local economic and fiscal impact analysis. Transportation research record, 1623(1), 57-62. doi:10.3141/1623-08
Peng, Z. R., Groff, J. N., & Dueker, K. J. (1998). An Enterprise GIS database design for agency-wide transit applications. URISA-WASHINGTON DC-, 10, 46-55.
Peng, Z. R. (1997). A methodology for design of a GIS-based automatic transit traveler information system. Computers, environment and urban systems, 21(5), 359-372. doi:10.1016/S0198-9715(98)00006-4
Peng, Z. R. (1997). The jobs-housing balance and urban commuting. Urban studies, 34(8), 1215-1235. doi:10.1080/0042098975600
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Peng, Z., Dueker, K. J., & Strathman, J. G. (1996). Residential location, employment location, and commuter responses to parking charges. Transportation Research Record, 1556(1), 109-118. doi:10.3141/1556-13
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