Author Archives: Makoto Chikaraishi

We (I and two students, Haewon san and Keishi kun) participated in the 7th The International Choice Modelling Conference (ICMC 2022) held on May 23-25, 2022 in Reykjavik, Iceland (http://www.icmconference.org.uk/2022-icmc-reykjavik.html). Keishi kun presented the work entitled Exploring the effects of response lag on model estimation results using a real-time context-aware stated preference survey data (Authors: […]

The following paper is now available online: Ishii, Y., Hayakawa, K., Koide, S., & Chikaraishi, M. (2022). Entropy Tucker model: Mining latent mobility patterns with simultaneous estimation of travel impedance parameters. Transportation Research Part C: Emerging Technologies, 137, 103559. Abstract With the rapid increase in the availability of passive data in the field of transportation, […]

The following paper is now available online: Nakayama, S., Chikaraishi, M. (2021) Doubly generalized logit: a closed-form discrete choice model system with multivariate generalized extreme value distributed utilities, Transportation Research Part C, Vol. 132, 103315. Abstract: In this study, we generalize our previous q-generalized multinomial logit model (Nakayama & Chikaraishi, 2015), in which the heteroscedastic […]

Congratulations on your graduation, Maya Safira (Doctor course), Faisal Ali (Master course). Dr. Maya Safira is the very first PhD student from our lab. We really appreciate her hard work and efforts. Particularly, she made a great contribution to improving our ability as a team. We will try to keep your meme in our lab. […]