Author Archives: Makoto Chikaraishi

The Excellent Young Researcher Award in the 2021 Summer School was given to Diana Nur Safitri (the 1st year PhD student). Congraturations!  

Hirodai team won the 3rd place of excellence in the 20th summer course: behavioral modeling in transportation networks. Congratulations!  

Diana won the Top Prize and Yoshioka won a Best Paper Award from the EASTS2021! Congratulations! ————————— Yasoshima Yoshinosuke Prize (The Top Prize from all EASTS2021 papers) Authors: Nur Diana Safitri, Makoto Chikaraishi: Title: Impact of Transport Network Disruption on Travel Demand: A Case Study of July 2018 Heavy Rain Disaster, Japan ————————— Best Paper […]

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 […]

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 […]

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 […]

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 […]

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 […]

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

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 […]