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钟绍鹏
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Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Paper Publications
[21]zhongshaopeng.A Reliability-Based Stochastic System Optimum Congestion Pricing Model Under ATIS with Endogenous...[A],Proceedings of the 91th Transportation Research Board Annual Meeting,2022,1-22
[22]zhongshaopeng, Jiang, Yu, Nielsen, Otto Anker.Lexicographic multi-objective road pricing optimization considering land use and transportation e...[J],European Journal of Operational Research,2022
[23]zhongshaopeng.The combined effects of rail transit and road pricing on land use, transportation system, and veh...[A],ICTE,2022,2739-2745
[24]zhongshaopeng, 程荣, Wang Zhong, 姜宇.α-reliable mean-excess regret model for emergency location routing problem under demand uncertai...[A],The 6th International Conference on Transportation and Space-time Economics,2022
[25]Song, Jinchao, Zhao, Chunli, zhongshaopeng, Nielsen, Thomas Alexander Sick, Prishchepov, Alexander V..Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-sou...[J],COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,2022,77
[26]Liu, Jianrong, zhongshaopeng, Huang, Yaqing, Wang Zhong.How does the preference heterogeneity affect the elderly's evaluation of bus accessibility? Evide...[J],JOURNAL OF TRANSPORT & HEALTH,2022,22
[27]zhongshaopeng, Bushell, Max.Impact of the built environment on the vehicle emission effects of road pricing policies: A sim...[J],TRANSPORTATION RESEARCH PART A POLICY AND PRACTICE,2022,103:235-249
[28]zhongshaopeng, 程荣, 李旭峰, 姜宇, 姜瑜, Wang Zhong.Identifying the combined effect of shared autonomous vehicles and congestion pricing on regiona...[J],Journal of Transport and Land Use,2022,13(1):273-297
[29]zhongshaopeng, Wang Zhong.Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Vari...[J],Journal of Transportation Engineering Part A Systems,2022,147(1)
[30]Dapeng Zhang, Feng Xiao, Minyu Shen, zhongshaopeng.DNEAT: A novel dynamic node-edge attention network for origin-destination demand prediction[J],TRANSPORTATION RESEARCH PART C EMERGING TECHNOLOGIES,2022,122:102851-
total67 3/7
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