Fujiwara Laboratory

Development Science Field, Transdisciplinary Science and Engineering (TSE) Program, Graduate School of Advanced Science and Engineering, Hiroshima University

Publications (WoS)

2025
	Pham, Son Van; Fujiwara, Akimasa; Chikaraishi, Makoto; Le, Son Anh; Xuan, Nang Ho Understanding Human–Computer Interaction with Shared Autonomous Shuttles through Twin Experience: A Hybrid Choice Modeling Approach Journal Article In: International Journal of Human–Computer Interaction, 2025, ISSN: 1044-7318. Abstract \| Links \| BibTeX \| Tags: Mobility as a Service, Shared Autonomous Electric Mobility, Transportation @article{nokey, title = {Understanding Human–Computer Interaction with Shared Autonomous Shuttles through Twin Experience: A Hybrid Choice Modeling Approach}, author = {Son Van Pham and Akimasa Fujiwara and Makoto Chikaraishi and Son Anh Le and Nang Ho Xuan}, url = {https://www.tandfonline.com/doi/full/10.1080/10447318.2025.2591777}, doi = {https://doi.org/10.1080/10447318.2025.2591777}, issn = {1044-7318}, year = {2025}, date = {2025-11-28}, urldate = {2025-11-28}, journal = {International Journal of Human–Computer Interaction}, abstract = {This study investigates future mobility with the introduction of shared autonomous shuttles (SASs), focusing on how human–computer interaction (HCI) influences travel decisions, using a twin experience survey approach. Data were collected in January 2023 from 1376 participants, based on experimental scenarios with Level 4 SASs in Hanoi. A hybrid choice model was developed to examine the effects of HCI, travel attributes, latent psychological factors, and socio-demographic characteristics. The study suggests that SAS Economy could serve as an affordable and scalable complementation for short trips, greater satisfaction with SAS Economy over ride-hailing, and higher trust compared to motorbikes. The findings also highlight the need for transparent and adaptive service designs to foster user trust, and for policymakers to integrate SASs into broader Mobility as a Service strategies. Overall, this study supports a mobility-oriented development adaptable to diverse urban settings, contributing to carbon neutrality and the development of healthier cities through a smart mobility platform.}, keywords = {Mobility as a Service, Shared Autonomous Electric Mobility, Transportation}, pubstate = {published}, tppubtype = {article} } Close This study investigates future mobility with the introduction of shared autonomous shuttles (SASs), focusing on how human–computer interaction (HCI) influences travel decisions, using a twin experience survey approach. Data were collected in January 2023 from 1376 participants, based on experimental scenarios with Level 4 SASs in Hanoi. A hybrid choice model was developed to examine the effects of HCI, travel attributes, latent psychological factors, and socio-demographic characteristics. The study suggests that SAS Economy could serve as an affordable and scalable complementation for short trips, greater satisfaction with SAS Economy over ride-hailing, and higher trust compared to motorbikes. The findings also highlight the need for transparent and adaptive service designs to foster user trust, and for policymakers to integrate SASs into broader Mobility as a Service strategies. Overall, this study supports a mobility-oriented development adaptable to diverse urban settings, contributing to carbon neutrality and the development of healthier cities through a smart mobility platform. Close https://www.tandfonline.com/doi/full/10.1080/10447318.2025.2591777 doi:https://doi.org/10.1080/10447318.2025.2591777 Close
	Pham, Son Van; Namgung, Hyewon; Akimasa, Fujiwara; Chikaraishi, Makoto; Nguyen, Thi Anh Hong; Do, Canh; Le, Anh Son; Ho, Xuan Nang Transformative impacts of shared autonomous vehicles for first-last-mile mobility: A cyber-physical experiment concept Journal Article In: Transportation Research Interdisciplinary Perspectives, vol. 34, no. 101640, 2025, ISSN: 2590-1982. Abstract \| Links \| BibTeX \| Tags: Mobility as a Service, Shared Autonomous Electric Mobility, Transportation @article{nokey, title = {Transformative impacts of shared autonomous vehicles for first-last-mile mobility: A cyber-physical experiment concept}, author = {Son Van Pham and Hyewon Namgung and Fujiwara Akimasa and Makoto Chikaraishi and Thi Anh Hong Nguyen and Canh Do and Anh Son Le and Xuan Nang Ho}, url = {https://www.sciencedirect.com/science/article/pii/S2590198225003197}, doi = {https://doi.org/10.1016/j.trip.2025.101640}, issn = {2590-1982}, year = {2025}, date = {2025-10-01}, urldate = {2025-10-01}, journal = {Transportation Research Interdisciplinary Perspectives}, volume = {34}, number = {101640}, abstract = {The study introduced the cyber-physical experiment concept (CPEC) to comprehensively investigate and demonstrate new mobility services, specifically focusing on the impact of shared autonomous vehicles (SAVs) on the change of mode choice behavior. By synergistically combining cyber and physical experiments, the integrated experiment approach provided insights into user’s shifts to SAVs as a first-last-mile (FLM) mode choices in Hanoi. The study involved 1030 respondents in the cyber experiments and 346 respondents in the physical experiments with SAVs, respectively. Utilizing a panel mixed logit (PMXL) model and difference-in-differences (DID) analysis, the findings revealed that cyber and physical experiments significantly influenced behavior change following the introduction of SAVs, which were previously unavailable. Both the cyber and physical experiments improved overall preferences for SAVs. However, differences emerged between the groups: participants exposed only to cyber experiments showed higher travel mode transfer rates compared to those who participated in the physical experiments. From a policy perspective, this study advocates for an integrated system to address FLM challenges, particularly in the context of banning motorbikes in inner-city areas and positioning SAVs as viable alternatives. These findings underscore the theoretical contributions and practical implications of CPEC in integrating SAVs into public transportation systems to enhance FLM mobility.}, keywords = {Mobility as a Service, Shared Autonomous Electric Mobility, Transportation}, pubstate = {published}, tppubtype = {article} } Close The study introduced the cyber-physical experiment concept (CPEC) to comprehensively investigate and demonstrate new mobility services, specifically focusing on the impact of shared autonomous vehicles (SAVs) on the change of mode choice behavior. By synergistically combining cyber and physical experiments, the integrated experiment approach provided insights into user’s shifts to SAVs as a first-last-mile (FLM) mode choices in Hanoi. The study involved 1030 respondents in the cyber experiments and 346 respondents in the physical experiments with SAVs, respectively. Utilizing a panel mixed logit (PMXL) model and difference-in-differences (DID) analysis, the findings revealed that cyber and physical experiments significantly influenced behavior change following the introduction of SAVs, which were previously unavailable. Both the cyber and physical experiments improved overall preferences for SAVs. However, differences emerged between the groups: participants exposed only to cyber experiments showed higher travel mode transfer rates compared to those who participated in the physical experiments. From a policy perspective, this study advocates for an integrated system to address FLM challenges, particularly in the context of banning motorbikes in inner-city areas and positioning SAVs as viable alternatives. These findings underscore the theoretical contributions and practical implications of CPEC in integrating SAVs into public transportation systems to enhance FLM mobility. Close https://www.sciencedirect.com/science/article/pii/S2590198225003197 doi:https://doi.org/10.1016/j.trip.2025.101640 Close
	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} } Close 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. Close https://www.tandfonline.com/doi/full/10.1080/19427867.2025.2525290 doi:https://doi.org/10.1080/19427867.2025.2525290 Close
2023
	Namgung, Hyewon; Fujiwara, Akimasa; Yamamoto, Jenny; Zhang, Junyi Small and medium-sized taxi firm operators' stated choices of future business models: A case study in Japan based on hybrid choice model with panel effects Journal Article In: Research in Transportation Economics, vol. 101, 2023, ISSN: 0739-8859. Links \| BibTeX \| Tags: Economics, Mobility as a Service, Transportation @article{Namgung2023, title = {Small and medium-sized taxi firm operators' stated choices of future business models: A case study in Japan based on hybrid choice model with panel effects}, author = {Hyewon Namgung and Akimasa Fujiwara and Jenny Yamamoto and Junyi Zhang}, doi = {10.1016/j.retrec.2023.101341}, issn = {0739-8859}, year = {2023}, date = {2023-11-00}, journal = {Research in Transportation Economics}, volume = {101}, publisher = {Elsevier BV}, keywords = {Economics, Mobility as a Service, Transportation}, pubstate = {published}, tppubtype = {article} } Close doi:10.1016/j.retrec.2023.101341 Close