The following paper is now available online! Varghese, V. Chikaraishi, M., Urata, J. (2020) Deep Learning in Transport Studies: A Meta-Analysis on the Prediction Accuracy, Journal of Big Data Analytics in Transportation, Vol. 2, 199–220. Abstract: Deep learning methods are being increasingly applied in transport studies, while the methods require modellers to go through a […]

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Sep 24, 2020

Congratulations on your graduations, Yvonne, Johan, Silvia, Diana, and Monir san! We look forward to your continued success!!

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The following paper is now available online! Watanabe, H., Chikaraishi, M., Maruyama, T. (2021) How different are daily fluctuations and weekly rhythms in time-use behavior across urban settings? A case in two Japanese cities, Travel Behavior and Society, Vol. 22, 146-154. Abstract: For designing and evaluating the impacts of emerging mobility services, we need activity-based […]

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The following paper is now available online! Varghese, V., Chikaraishi, M., Kato, H. (2020) Analysis of Travel-Time Use in Crowded Trains using Discrete-Continuous Choices of Commuters in Tokyo, Japan, Transportation Research Record (Accepted). Abstract Travel-based multitasking and the possibility to perform activities during travel are important factors that can make a transportation mode attractive. However, […]

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The following paper is now available online! Chikaraishi, M., Garg, P., Varghese, V., Yoshizoe, K., Urata, J., Shiomi, Y., Watanabe, R. (2020) On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis, Transport Policy (Accepted). Abstract: Since the cost and time required to finetune parameters in traditional short-term traffic […]

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The following paper has been published. Chikaraishi, M., Khan, D., Yasuda, B., Fujiwara, A. (2020) Risk Perception and Social Acceptability of Autonomous Vehicles: A Case Study in Hiroshima, Japan, Transport Policy (In Press). Abstract Given the impending introduction of self-driving cars to Japan within the next several years, gaining a better understanding of public opinion […]

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We had an intensive seminar on discrete choice models. We originally planned to visit Kurashiki for the seminar, but we decided to have it on our campus due to COVID-19. ——————————– Day 1 (March 19) 13:00- Discrete choice models (logit, nested logit, and mixed logit) 13:00-15:00: Linking theory with programming code (MNL by Varun, NL […]

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Jan 11, 2020

Mr. Arpit Jain from Indian Institute of Technology, Delhi (IIT-D) had joined our group for a month as an intern, and he did an excellent job during his stay on the application of transfer learning for short term prediction of non-recurrent traffic congestion. We really appreciate his hard work and contribution!

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Dr. Prawira Fajarindra Belgiawan (Lecturer at Institut Teknologi Bandung, School of Business and Management) introduces their study on Online Transportation in Indonesia, entitled “To compete or not compete: exploring the relationships between motorcycle‑based ride‑sourcing, motorcycle taxis, and public transport in the Jakarta metropolitan area”. Thank you very much, Dr. Fajar!

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