| On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis M Chikaraishi, P Garg, V Varghese, K Yoshizoe, J Urata, Y Shiomi, ... Transport Policy 98, 91-104, 2020 | 60 | 2020 |
| People's risk recognition preceding evacuation and its role in demand modeling and planning J Urata, AJ Pel Risk analysis 38 (5), 889-905, 2018 | 37 | 2018 |
| Learning ride-sourcing drivers’ customer-searching behavior: A dynamic discrete choice approach J Urata, Z Xu, J Ke, Y Yin, G Wu, H Yang, J Ye Transportation research part C: emerging technologies 130, 103293, 2021 | 35 | 2021 |
| Deep learning in transport studies: A meta-analysis on the prediction accuracy V Varghese, M Chikaraishi, J Urata Journal of Big Data Analytics in Transportation 2, 199-220, 2020 | 32 | 2020 |
| Modeling the cooperation network formation process for evacuation systems design in disaster areas with a focus on Japanese megadisasters J Urata, E Hato Leadership and Management in Engineering 12 (4), 231-246, 2012 | 24 | 2012 |
| Investigation of traffic and evacuation aspects at Kumamoto earthquake and the future issues Y Kawasaki, M Kuwahara, Y Hara, T Mitani, A Takenouchi, T Iryo, J Urata Journal of Disaster Research 12 (2), 272-286, 2017 | 22 | 2017 |
| Spatio-temporal analysis for understanding the traffic demand after the 2016 Kumamoto earthquake using mobile usage data J Urata, Y Sasaki, T Iryo 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 12 | 2018 |
| Dynamics of local interactions and evacuation behaviors in a social network J Urata, E Hato Transportation research part C: emerging technologies 125, 103056, 2021 | 9 | 2021 |
| 豪雨災害時の避難開始選択における他者避難と人的ネットワークの影響評価 浦田淳司， 羽藤英二 土木学会論文集 D3 (土木計画学) 73 (1), 24-39, 2017 | 7 | 2017 |
| An analysis of evacuation timing with pre-activities in tsunami disasters J Urata, E Hato Journal of the City Planning Institute of Japan 48 (3), 2013 | 7 | 2013 |
| On the implementation of high performance computing extensionfor day-to-day traffic assignment W Petprakob, L Wijerathne, T Iryo, J Urata, K Fukuda, M Hori Transportation research procedia 34, 267-274, 2018 | 5 | 2018 |
| Local interaction based model to understand household evacuation behavior in a heavy rain situation J Urata, E Hato Journal of the Japan Society of Civil Engineers 73 (1), 24-39, 2017 | 5 | 2017 |
| Optimal control strategy for relief supply considering information and demand uncertainty after a major disaster R Kawase, J Urata, T Iryo IFAC-PapersOnLine 52 (6), 31-38, 2019 | 4 | 2019 |
| Preprocessing parallelization for the alt-algorithm G Peque, J Urata, T Iryo Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 4 | 2018 |
| 複雑ネットワークモデルを用いた豪雨災害時の協調行動形成に関する研究 浦田淳司， 羽藤英二 土木学会論文集 D3 (土木計画学) 69 (1), 29-40, 2013 | 4 | 2013 |
| Exploring diversity of public transport usage with smart card data and its associations with accessibility and land use patterns Y FUJIWARA, J URATA, A Fujiwara, M Chikaraishi Journal of the Eastern Asia Society for Transportation Studies 14, 779-794, 2022 | 3 | 2022 |
| Variation Properties of Trip Generation, Trip Attraction, Intra-Zonal Trips, and Travel Time Under Transport Network Disruption M Chikaraishi, J Urata, D Yoshino, A Fujiwara Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering …, 2019 | 3 | 2019 |
| Fast calculation of dynamic traffic assignment by parallelised network loading algorithm T Iryo, J Urata, K Fukuda, G Peque Jr, L Wijerathne, W Petprakob ISTS & IWTDCS, 4-6, 2018 | 3 | 2018 |
| Implementing an ALT algorithm for large-scale time-dependent networks G Peque, J Urata, T Iryo 22nd International Conference of Hong Kong Society for Transportation …, 2017 | 3 | 2017 |
| Modeling social interactions between households for evacuation behaviors in the devasted areas J Urata, E Hato European Transport Conference 2013Association for European Transport (AET), 2013 | 2 | 2013 |
Takamasa IryoTohoku UniversityVerified email at bk.iij4u.or.jp
