| The impact of urban morphology on urban transportation mode: A case study of Tokyo H Zhou, H Gao Case Studies on Transport Policy 8 (1), 197-205, 2020 | 80 | 2020 |
| Nonlinear effects of factors on dockless bike-sharing usage considering grid-based spatiotemporal heterogeneity Y Wang, Z Zhan, Y Mi, A Sobhani, H Zhou Transportation Research Part D: Transport and Environment 104, 103194, 2022 | 58 | 2022 |
| What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys Y Xing, H Zhou, X Han, M Zhang, J Lu Technological Forecasting and Social Change 176, 121454, 2022 | 57 | 2022 |
| Impacts of COVID-19 and anti-pandemic policies on urban transport—an empirical study in China H Zhou, Y Wang, JR Huscroft, K Bai Transport policy 110, 135-149, 2021 | 55 | 2021 |
| Travel behaviours, user characteristics, and social-economic impacts of shared transportation: A comprehensive review Z Sun, Y Wang, H Zhou, J Jiao, RE Overstreet International Journal of Logistics Research and Applications 24 (1), 51-78, 2021 | 42 | 2021 |
| Genetic network programming with estimation of distribution algorithms for class association rule mining in traffic prediction X Li, S Mabu, H Zhou, K Shimada, K Hirasawa IEEE Congress on Evolutionary Computation, 1-8, 2010 | 38 | 2010 |
| Time related association rules mining with attributes accumulation mechanism and its application to traffic prediction H Zhou, W Wei, K Shimada, S Mabu, K Hirasawa 2008 IEEE congress on evolutionary computation (IEEE World congress on …, 2008 | 37 | 2008 |
| Impact of high-speed rail operation on urban economic resilience: evidence from local and spillover perspectives in China R Li, M Xu, H Zhou Cities 141, 104498, 2023 | 33 | 2023 |
| The impact of traffic demand management policy mix on commuter travel choices Y Wang, K Geng, AD May, H Zhou Transport policy 117, 74-87, 2022 | 32 | 2022 |
| Evolving temporal association rules in recommender system H Zhou, K Hirasawa Neural Computing and Applications 31 (7), 2605-2619, 2019 | 32 | 2019 |
| Experimental study on shared bike use behavior under bounded rational theory and credit supervision mechanism Y Yao, L Liu, Z Guo, Z Liu, H Zhou Sustainability 11 (1), 127, 2018 | 30 | 2018 |
| Zombie firms and soft budget constraints in the Chinese stock market C Zhang, Y Chen, H Zhou Asian Economic Journal 34 (1), 51-77, 2020 | 27 | 2020 |
| Impact of perceived uncertainty on public acceptability of congestion charging: An empirical study in China Y Wang, Y Wang, L Xie, H Zhou Sustainability 11 (1), 129, 2018 | 27 | 2018 |
| Time related class association rule mining and its application to traffic prediction H Zhou, S Mabu, W Wei, K Shimada, K Hirasawa IEEJ Transactions on Electronics, Information and Systems 130 (2), 289-301, 2010 | 26 | 2010 |
| Commuter value perceptions in peak avoidance behavior: An empirical study in the Beijing subway system Y Wang, Y Wang, D Ettema, Z Mao, SG Charlton, H Zhou Transportation Research Part A: Policy and Practice 139, 70-84, 2020 | 20 | 2020 |
| Factors affecting orderly parking of dockless shared bicycles: an exploratory study Y Wang, S Jia, H Zhou, S Charlton, B Hazen International Journal of Logistics Research and Applications 24 (2), 103-125, 2021 | 19 | 2021 |
| Spatiotemporal traffic network analysis: technology and applications H Zhou, K Hirasawa Knowledge and information systems 60 (1), 25-61, 2019 | 19 | 2019 |
| Understanding peak avoidance commuting by subway: an empirical study in Beijing Y Wang, D Ettema, H Zhou, X Sun International Journal of Logistics Research and Applications 21 (6), 597-613, 2018 | 14 | 2018 |
| Traffic conduction analysis model with time series rule mining H Zhou, K Hirasawa Expert systems with applications 41 (14), 6524-6535, 2014 | 13 | 2014 |
| Genetic network programming with estimation of distribution algorithms and its application to association rule mining for traffic prediction X Li, S Mabu, H Zhou, K Shimada, K Hirasawa 2009 ICCAS-SICE, 3457-3462, 2009 | 12 | 2009 |
