Publications (WoS)

@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}

}

@article{ABDULLAH2025100163,

title = {Developing a mobile phone application to encourage walking: What works and for whom?},

author = {Reza Abdullah and Hyewon Namgung and Varun Varghese and Makoto Chikaraishi and Akimasa Fujiwara},

url = {https://www.sciencedirect.com/science/article/pii/S2185556025000070},

doi = {https://doi.org/10.1016/j.eastsj.2025.100163},

issn = {2185-5560},

year  = {2025},

date = {2025-01-01},

journal = {Asian Transport Studies},

volume = {11},

pages = {100163},

abstract = {This study explores the effectiveness of mobile application interventions in promoting walking among diverse demographic groups using Difference-in-Differences (DiD) analysis. It examines how strategies like monetary incentives, health data, and visual feedback influence behaviours across demographic factors like age, gender, and income, revealing the most effective for specific groups. Young participants who received all types of interventions demonstrated a significant increase in step counts, with an estimated increase of 182 %, reflecting their receptiveness to personalised engagement and reward-based strategies. In contrast, low-income participants experienced a significant decrease in step counts, with a reduction of 54 %, highlighting the socio-economic barriers hindering intervention effectiveness. These findings underscore the importance of tailoring intervention designs to meet different demographic groups’ specific need and ensure equitable outcomes. This study offers valuable insights for policymakers, public health officials, and practitioners aiming to design more effective and inclusive strategies to promote physical activity and improve urban sustainability.},

keywords = {Behavioural monetary incentives, Difference-in-differences (DiD), Jakarta, Mobile health application, Physical activity, Walking interventions},

pubstate = {published},

tppubtype = {article}

}