| Individual mobility prediction using transit smart card data Z Zhao, HN Koutsopoulos, J Zhao Transportation research part C: emerging technologies 89, 19-34, 2018 | 147 | 2018 |
| 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 | 128 | 2017 |
| 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 180, 100795, 2024 | 69 | 2024 |
| 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 | 68 | 2020 |
| 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 | 67 | 2018 |
| 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 | 66 | 2013 |
| 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 | 65 | 2022 |
| Car pride and its behavioral implications: an exploration in Shanghai Z Zhao, J Zhao Transportation 47 (2), 793-810, 2020 | 65 | 2020 |
| 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 | 62 | 2022 |
| 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 | 52* | 2021 |
| 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 | 49* | 2021 |
| 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 | 46* | 2023 |
| 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 | 42 | 2022 |
| 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 | 40 | 2021 |
| 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 | 39 | 2022 |
| Exploring large language models for human mobility prediction under public events Y Liang, Y Liu, X Wang, Z Zhao Computers, Environment and Urban Systems 112, 102153, 2024 | 33 | 2024 |
| Deep trip generation with graph neural networks for bike sharing system expansion Y Liang, F Ding, G Huang, Z Zhao Transportation Research Part C: Emerging Technologies 154, 104241, 2023 | 21 | 2023 |
| Introducing social contacts into the node-place model: A case study of Hong Kong M Zhou, J Zhou, J Zhou, S Lei, Z Zhao Journal of Transport Geography 107, 103532, 2023 | 21 | 2023 |
| Cross-mode knowledge adaptation for bike sharing demand prediction using domain-adversarial graph neural networks Y Liang, G Huang, Z Zhao IEEE Transactions on Intelligent Transportation Systems 25 (5), 3642-3653, 2023 | 17 | 2023 |
| ITINERA: Integrating Spatial Optimization with Large Language Models for Open-domain Urban Itinerary Planning Y Tang, Z Wang, A Qu, Y Yan, Z Wu, D Zhuang, J Kai, K Hou, X Guo, ... arXiv preprint arXiv:2402.07204, 2024 | 16* | 2024 |
Jinhua ZhaoProfessor of Cities and Transportation, Massachusetts Institute of TechnologyBestätigte E-Mail-Adresse bei mit.edu
