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Zhan Zhao
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Cited by
Year
Individual mobility prediction using transit smart card data
Z Zhao, HN Koutsopoulos, J Zhao
Transportation research part C: emerging technologies 89, 19-34, 2018
1262018
Measuring regularity of individual travel patterns
G Goulet-Langlois, HN Koutsopoulos, Z Zhao, J Zhao
IEEE Transactions on Intelligent Transportation Systems 19 (5), 1583-1592, 2017
1132017
Unified estimator for excess journey time under heterogeneous passenger incidence behavior using smartcard data
J Zhao, M Frumin, N Wilson, Z Zhao
Transportation Research Part C: Emerging Technologies 34, 70-88, 2013
622013
Detecting pattern changes in individual travel behavior: A Bayesian approach
Z Zhao, HN Koutsopoulos, J Zhao
Transportation research part B: methodological 112, 73-88, 2018
612018
Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model
Z Zhao, HN Koutsopoulos, J Zhao
Transportation Research Part C: Emerging Technologies 116, 102627, 2020
602020
Car pride and its behavioral implications: an exploration in Shanghai
Z Zhao, J Zhao
Transportation 47 (2), 793-810, 2020
562020
Joint demand prediction for multimodal systems: A multi-task multi-relational spatiotemporal graph neural network approach
Y Liang, G Huang, Z Zhao
Transportation research part C: emerging technologies 140, 103731, 2022
372022
Individual mobility prediction in mass transit systems using smart card data: An interpretable activity-based hidden Markov approach
B Mo, Z Zhao, HN Koutsopoulos, J Zhao
IEEE Transactions on Intelligent Transportation Systems 23 (8), 12014-12026, 2021
36*2021
Memory-augmented dynamic graph convolution networks for traffic data imputation with diverse missing patterns
Y Liang, Z Zhao, L Sun
Transportation Research Part C: Emerging Technologies 143, 103826, 2022
352022
Impact of COVID-19 travel-restriction policies on road traffic accident patterns with emphasis on cyclists: A case study of New York City
J Li, Z Zhao
Accident Analysis & Prevention 167, 106586, 2022
322022
NetTraj: A network-based vehicle trajectory prediction model with directional representation and spatiotemporal attention mechanisms
Y Liang, Z Zhao
IEEE Transactions on Intelligent Transportation Systems 23 (9), 14470-14481, 2021
29*2021
Dynamic spatiotemporal graph convolutional neural networks for traffic data imputation with complex missing patterns
Y Liang, Z Zhao, L Sun
arXiv preprint arXiv:2109.08357, 2021
282021
Combinatorial optimization of construction waste collection and transportation: A case study of Hong Kong
W Bi, W Lu, Z Zhao, CJ Webster
Resources, Conservation and Recycling 179, 106043, 2022
262022
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards
Z Zhao, Y Liang
Transportation Research Part C: Emerging Technologies 149, 104079, 2023
23*2023
Generative urban design: A systematic review on problem formulation, design generation, and decision-making
F Jiang, J Ma, CJ Webster, AJF Chiaradia, Y Zhou, Z Zhao, X Zhang
Progress in Planning, 100795, 2023
172023
Car pride: Psychological structure and behavioral implications
Z Zhao, J Zhao
94th Annual Meeting of the Transportation Research Board, Washington, DC, 2015
132015
Evolution of trip chaining patterns in London from 1991 to 2010
Z Zhao, G Chua, J Zhao
Innovations in Travel Modelling Conference, 11, 2012
122012
Exploring large language models for human mobility prediction under public events
Y Liang, Y Liu, X Wang, Z Zhao
arXiv preprint arXiv:2311.17351, 2023
112023
Bike sharing demand prediction based on knowledge sharing across modes: A graph-based deep learning approach
Y Liang, G Huang, Z Zhao
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
92022
Individual-level trip detection using sparse call detail record data based on supervised statistical learning
Z Zhao, J Zhao, HN Koutsopoulos
Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016
92016
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Articles 1–20