The following paper is now available online! Varghese, V., Chikaraishi, M., Jana, A. (2021) The architecture of complexity in the relationships between information and communication technologies and travel: A review of empirical studies, Transportation Research Interdisciplinary Perspectives, Vol. 11, 100432. Abstract: The use of information and communication technologies (ICT) has become an integral part of people’s […]
Read More →Daily Activities
Updates and activities from our laboratory.
The following paper is now available online! Santos, J.R., Varghese, V., Chikaraishi, M., Uchida, T. (2021) An Integrated Framework for Risk and Impact Assessment of Sediment Hazard on a Road Network, Transportation Research Record. Abstract: Road networks are highly vulnerable to risks stemming from both internal factors, such as the topological structure of the network, and […]
Read More →The following paper is now available online! Santos, J.R., Safitri, N.D., Safira, M., Varghese, V., Chikaraishi, M. (2021) Road Network Vulnerability and City-level Characteristics: A Nationwide Comparative Analysis of Japanese Cities, Environment and Planning B:Urban Analytics and City Science (Accepted). Abstract: Climate change is making our cities more vulnerable, increasing the needs for further policy actions […]
Read More →The following paper is now available online! Wu, L., Chikaraishi, M., Nguyen, T.A.H., Fujiwara, A. (2021) Analysis of post-disaster population movement by using mobile spatial statistics, International Journal of Disaster Risk Reduction, 54, 102047. Abstract: Understanding and predicting post-disaster human movements is critical for evaluating a population’s vulnerability and resilience and developing plans for disaster […]
Read More →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 […]
Read More →Congratulations!
Congratulations on your graduations, Yvonne, Johan, Silvia, Diana, and Monir san! We look forward to your continued success!!
Read More →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 […]
Read More →No photos with faces due to COVID-19, but anyway congratulations for your great achievements!!!
Read More →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, […]
Read More →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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