2025
Pham, Son Van; Fujiwara, Akimasa; Chikaraishi, Makoto; Le, Anh Son; Xuan, Nang Ho
Mobility experiment twin for analyzing travel behavior decisions employing shared electric autonomous vehicles Journal Article
In: Transportation Letters: The International Journal of Transportation Research, 2025, ISSN: 1942-7867.
Abstract | Links | BibTeX | Tags: Behavior, Difference-in-differences (DiD), Mobility as a Service, Shared Autonomous Electric Mobility, Transportation
@article{nokey,
title = {Mobility experiment twin for analyzing travel behavior decisions employing shared electric autonomous vehicles},
author = {Son Van Pham and Akimasa Fujiwara and Makoto Chikaraishi and Anh Son Le and Nang Ho Xuan},
url = {https://www.tandfonline.com/doi/full/10.1080/19427867.2025.2525290},
doi = {https://doi.org/10.1080/19427867.2025.2525290},
issn = {1942-7867},
year = {2025},
date = {2025-07-08},
urldate = {2025-07-08},
journal = {Transportation Letters: The International Journal of Transportation Research},
abstract = {The introduction of new mobility services (NMS) strongly depends on the public acceptance. Acceptance is evaluated by allowing users to experience these solutions before their widespread implementation. However, there is limited research on establishing robust frameworks for analyzing travel behavior decisions across the stages and environmental contexts of implementation. This study proposes the mobility experiment twin (MEXT) framework, which integrates cyber and physical experiments using a five-step approach. We introduced shared autonomous electric vehicles (SAEVs) as first-last-mile (FLM) urban mobility vehicles in Hanoi. Utilizing randomized controlled trials with cyber and physical groups to estimate the impact of MEXT. The users preferred SAEVs, willingly accepting longer travel times and higher costs, while young people were more inclined to adopt SAEVs with economic costs. Future works must consider more representative experimental locations and develop a theoretical model that better reflects the current SAEV situation in developing societies.},
keywords = {Behavior, Difference-in-differences (DiD), Mobility as a Service, Shared Autonomous Electric Mobility, Transportation},
pubstate = {published},
tppubtype = {article}
}
Do, Hung N. V; Fujiwara, Akimasa; Nguyen, Thi Anh Hong; Do, Canh
In: Asian Transport Studies, vol. 11, 2025, ISSN: 2185-5560.
Abstract | Links | BibTeX | Tags: Behavior, Transportation
@article{nokey,
title = {Investigating influential factors on pick-up/drop-off location choices for school bus services from parents' perspective: A case study in Hanoi, Vietnam},
author = {Hung N.V Do and Akimasa Fujiwara and Thi Anh Hong Nguyen and Canh Do},
url = {https://www.sciencedirect.com/science/article/pii/S218555602500001X},
doi = {https://doi.org/10.1016/j.eastsj.2025.100157},
issn = {2185-5560},
year = {2025},
date = {2025-02-19},
urldate = {2025-02-19},
journal = {Asian Transport Studies},
volume = {11},
abstract = {This study examines factors influencing parents' choices of relocating pick-up/drop-off (PUDO) points of school bus services for six schools in Hanoi. An online survey, in which parents were asked to choose a PUDO point after viewing a video showing current traffic conditions, was administered in November 2022. They were then exposed to a proposal for a new PUDO location that enhanced the school walking environment. The results suggested that parents favor further PUDO locations, enabling their children to participate in longer walks to school and increase their physical activity. However, those observing traffic accidents near school gate areas expressed negative attitudes toward the proposed change. Moreover, the study found no significant decrease in transportation costs setting up PUDO points at a greater distance. Nevertheless, encouraging physical activity and improving students' health could be a policy instrument for decision-makers to set up a designated distant PUDO location in the context of developing Asian cities.},
keywords = {Behavior, Transportation},
pubstate = {published},
tppubtype = {article}
}
Li, Wenhao; Seike, Miho; Fujiwara, Akimasa; Chikaraishi, Makoto
Slow walking behavior with negative emotion in smoke-filled model-scale tunnel Journal Article
In: Tunnelling and Underground Space Technology, vol. 156, pp. 106224, 2025, ISSN: 0886-7798.
Abstract | Links | BibTeX | Tags: Behavior, Emotion, Physiological signal, Shared Autonomous Electric Mobility, Smoke, Tunnel
@article{LI2025106224,
title = {Slow walking behavior with negative emotion in smoke-filled model-scale tunnel},
author = {Wenhao Li and Miho Seike and Akimasa Fujiwara and Makoto Chikaraishi},
url = {https://www.sciencedirect.com/science/article/pii/S0886779824006424},
doi = {https://doi.org/10.1016/j.tust.2024.106224},
issn = {0886-7798},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
journal = {Tunnelling and Underground Space Technology},
volume = {156},
pages = {106224},
abstract = {This study delved into the fundamental relationship between negative emotions and slow walking behaviors in a smoke-filled model-scale tunnel. Behavioral patterns and emotional responses were investigated by video observations and physiological signals. Contrary to previous assumptions, it was revealed that the “slow” was not solely indicative of older people, children, or individuals with disabilities. 15.3% of the slow participants paused several times during evacuation, with those in stress and low-stress cases pausing to look around, whereas a portion of those in fear and anxiety cases did nothing during their pause, potentially linked to threat-induced states such as orienting, freezing, and tonic immobility. 20.7% evacuated while stooping, possibly because of participants’ background (the disaster prevention education in Japan). The Difference-in-Differences (DID) estimation results indicated that negative emotions exerted a more pronounced influence on slow speeds compared to the overall speeds.},
keywords = {Behavior, Emotion, Physiological signal, Shared Autonomous Electric Mobility, Smoke, Tunnel},
pubstate = {published},
tppubtype = {article}
}