test

@article{nokey,

title = {Association of walking speed with psychological state: An experiment in smoke-filled full-scale tunnel},

author = {Wenhao Li and Miho Seike and Fujiwara Akimasa and Takafumi Sasaoka and Makoto Chikaraishi and Shigeto Yamawaki},

url = {https://www.sciencedirect.com/science/article/pii/S0379711226000135},

doi = {https://doi.org/10.1016/j.firesaf.2026.104645},

issn = {0379-7112},

year  = {2026},

date = {2026-01-27},

urldate = {2026-01-27},

journal = {Fire Safety Journal},

volume = {161},

pages = {104645},

abstract = {This study investigated correlations among several feelings (fear, worry, tension, and confusion) and their impact on walking speed in smoke by a full-scale tunnel evacuation experiment and questionnaires, with the aim of clarifying the mechanisms behind changes in walking speed from an emotional aspect. The results obtained through structural equation modeling indicated that feelings were mutually correlated; 72% of the participants reported experiencing multiple feelings, in which the most common combination was worry and tension. Furthermore, fear increased walking speed; the mean walking speed declined as the number of feelings increased. These findings suggest that rapid evacuation could be achieved by controlling evacuees’ feelings.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A Sensor-Driven Framework for Modeling the Impact of Metro Crowding Contributions on Local Thermal Stress Across Transit-Oriented Development Zones},

author = {Blessy David Xavier and Fujiwara Akimasa},

url = {https://link.springer.com/article/10.1007/s13177-025-00591-9},

doi = {https://doi.org/10.1007/s13177-025-00591-9},

issn = {1348-8503},

year  = {2026},

date = {2026-01-06},

urldate = {2026-01-06},

journal = { International Journal of Intelligent Transportation Systems Research},

abstract = {Urban metro systems, in rapidly developing cities like Delhi, experience high passenger crowding, which may contribute to thermal stress within Transit-Oriented Development zones. This study examines the effect of metro crowding on local thermal conditions using a regression model, where Land Surface Temperature is modeled as the dependent variable, and the Crowding Contribution Index, developed from Automated Fare Collection and General Transit Feed Specification data, serves as the independent variable. To account for ecological moderation, the Normalized Difference Vegetation Index and Normalized Difference Moisture Index are included. Data from 237 Delhi Metro stations were analyzed across three concentric buffer zones: 0–500 m, 500–800 m, and 800–2000 m. In the 0–500 m and 500–800 m zones, the Crowding Contribution Index is positively associated with Land Surface Temperature, indicating that stations with high crowding contribute to localized thermal hotspots, while the NDVI and NDMI mitigate these effects through vegetative cooling and surface moisture. In contrast, in the 800–2000-meter buffer zone, Land Surface Temperature is influenced predominantly by ecological variables, with no significant effect of crowding. A causal robustness check using propensity-score matching confirms that the CCI–LST relationship in the inner buffer. This study demonstrates how sensor-enabled transit datasets, spatial analytics, and geospatial sensing can be integrated into intelligent mobility frameworks to model urban heat impacts. It highlights the need for climate-responsive, sensor-informed transit planning that links environmental performance with passenger dynamics, supporting the development of future-ready transportation networks in megacities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Measuring the impact of built environment factors on station-level contributions to link-level crowding using a novel crowding contribution index},

author = {Blessy David Xavier and Varun Varghese and Makoto Chikaraishi and Akimasa Fujiwara},

url = {https://www.nature.com/articles/s41598-025-27483-y},

doi = {https://doi.org/10.1038/s41598-025-27483-y},

issn = {2045-2322},

year  = {2025},

date = {2025-12-10},

urldate = {2025-12-10},

journal = {Scientific Reports},

volume = {15},

number = {43535},

abstract = {Metro crowding undermines passenger comfort, operational efficiency and network reliability. While prior research has examined station-level and system-wide crowding, little attention has been given to quantifying how individual stations contribute to link-level overcrowding. This study addresses this gap by introducing the Crowding Contribution Index (CCI), a metric that quantifies the extent to which destination stations drive overcapacity flows on preceding links. The CCI is computed via a structured framework integrating Automated Fare Collection (AFC) and GTFS link-network data. Applied to over 80 million trips across 237 Delhi Metro stations, 142 200 hourly CCI values reveal that 46.35% of station-hours exceed capacity, with highest contributions clustered in specific stations. A Type II Tobit model assesses built-environment (BE) variables, showing that POI and intersection densities increase contributions, while POI entropy reduces them, underscoring land-use diversity’s role. Random Forest and XGBoost models corroborate these findings, ranking BE variables as the strongest CCI predictors. These insights emphasise the need for integrated land-use and transport strategies. The CCI framework offers operators a scalable tool for real-time service adjustments, such as targeted short-turns and dynamic fleet deployment, and guides planners toward sustainable, integrated land-use planning, making it especially valuable for rapidly urbanising, data-constrained cities.},

keywords = {Transit-oriented development, Transportation},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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{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}

}

@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}

}

@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}

}

@article{Li2024,

title = {Negative emotion degree in smoke filled tunnel evacuation},

author = {Wenhao Li and Miho Seike and Akimasa Fujiwara and Makoto Chikaraishi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201766564&doi=10.1016%2fj.tust.2024.106010&partnerID=40&md5=dad02edfaa93b85e57987dc2a857ab3c},

doi = {10.1016/j.tust.2024.106010},

year  = {2024},

date = {2024-01-01},

journal = {Tunnelling and Underground Space Technology},

volume = {153},

note = {Cited by: 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Li2024b,

title = {Structural equation modeling of negative emotion and walking behavior by smoke-filled model-scale tunnel experiments},

author = {Wenhao Li and Miho Seike and Akimasa Fujiwara and Makoto Chikaraishi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180367348&doi=10.1016%2fj.ssci.2023.106394&partnerID=40&md5=e7f10493d5c295ccc922fa7d97c5dbe5},

doi = {10.1016/j.ssci.2023.106394},

year  = {2024},

date = {2024-01-01},

journal = {Safety Science},

volume = {171},

note = {Cited by: 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ABDULLAH2024105871,

title = {Managing transit-oriented development: A comparative analysis of expert groups and multi-criteria decision making methods},

author = {Reza Abdullah and Blessy David Xavier and Hyewon Namgung and Varun Varghese and Akimasa Fujiwara},

url = {https://www.sciencedirect.com/science/article/pii/S2210670724006954},

doi = {https://doi.org/10.1016/j.scs.2024.105871},

issn = {2210-6707},

year  = {2024},

date = {2024-01-01},

journal = {Sustainable Cities and Society},

volume = {115},

pages = {105871},

abstract = {A key challenge for transport managers and planners in sustainable development is evaluating transit facilities' performance. While Multi-Criteria Decision-Making (MCDM) tools are often used, they can be influenced by experts' subjective biases. This study applies MCDM to assess Mass Rapid Transit (MRT) stations in Jakarta, Indonesia, focusing on Transit-Oriented Development (TOD). The primary goal is to compare stakeholder perspectives and MCDM methods, complemented by a sensitivity analysis and validation with real-world smart card data. The findings reveal significant differences in criteria weighting between Indonesian and non-Indonesian experts, and between academic and non-academic experts, especially in transit connectivity and land use diversity. The study also shows variations in station rankings across different MCDM methods. Sensitivity analysis identifies transit connectivity as the most critical criterion. Simple Additive Weighting (SAW) with linear normalisation aligns well with actual usage data and shows robustness in sensitivity analysis, making it the most reliable method for TOD evaluation. The study highlights the need for continuous TOD performance monitoring and the regular collection of real-world data on ridership and TOD indicators.},

keywords = {Fuzzy AHP, Jakarta, MRT, Multi-criteria decision making, Sensitivity coefficient, Transit-oriented development},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{Namgung2023c,

title = {Influence of real and video-based experiences on stated acceptance of connected public transportation and autonomous vehicles in a transit mall: A hybrid choice modeling approach},

author = {Hyewon Namgung and Makoto Chikaraishi and Akimasa Fujiwara},

doi = {10.1016/j.tra.2023.103695},

issn = {0965-8564},

year  = {2023},

date = {2023-07-00},

journal = {Transportation Research Part A: Policy and Practice},

volume = {173},

publisher = {Elsevier BV},

keywords = {Aerospace Engineering, Business, Civil and Structural Engineering, Management and Accounting (miscellaneous), Management Science and Operations Research, Transportation},

pubstate = {published},

tppubtype = {article}

}

@article{Ario2022,

title = {Investigation of Bridge Collapse Phenomena due to Heavy Rain Floods: Structural, Hydraulic, and Hydrological Analysis},

author = {Ichiro Ario and Tatsuya Yamashita and Ryota Tsubaki and Shin-ichi Kawamura and Tatsuhiko Uchida and Gakuho Watanabe and Akimasa Fujiwara},

doi = {10.1061/(asce)be.1943-5592.0001905},

issn = {1943-5592},

year  = {2022},

date = {2022-09-00},

journal = {J. Bridge Eng.},

volume = {27},

number = {9},

publisher = {American Society of Civil Engineers (ASCE)},

keywords = {Building and Construction, Civil and Structural Engineering},

pubstate = {published},

tppubtype = {article}

}

@article{Fujiwara2022359,

title = {Autonomous Bus Pilot Project Testing and Demonstration using Light Rail Transit Track},

author = {Akimasa Fujiwara and Makoto Chikaraishi and Diana Khan and Atsufumi Ogawa and Yoshihiro Suda and Toshikazu Yamasaki and Takaharu Nishino and Shutaro Namba},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128593141&doi=10.1007%2fs13177-021-00264-3&partnerID=40&md5=ca38c5fac9c309eb97324abb80f861f5},

doi = {10.1007/s13177-021-00264-3},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Intelligent Transportation Systems Research},

volume = {20},

number = {2},

pages = {359 – 378},

note = {Cited by: 7; All Open Access, Hybrid Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yoshioka2022,

title = {Empirical models of consumer and merchant behavior in the two-sided market of local currency},

author = {Taisei Yoshioka and Makoto Chikaraishi and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128554392&doi=10.1016%2fj.eastsj.2021.100051&partnerID=40&md5=e5a04c262a6d2d29450c36f0201123ec},

doi = {10.1016/j.eastsj.2021.100051},

year  = {2022},

date = {2022-01-01},

journal = {Asian Transport Studies},

volume = {8},

note = {Cited by: 2; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chikaraishi202120,

title = {Variation properties of trip generation, trip attraction, intrazonal trips, and travel time under transport network disruption},

author = {Makoto Chikaraishi and Junji Urata and Daisuke Yoshino and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101372436&doi=10.2208%2fJOURNALOFJSCE.9.1_20&partnerID=40&md5=d1d5baadbaa1cb763b7e86f7d55a2e42},

doi = {10.2208/JOURNALOFJSCE.9.1_20},

year  = {2021},

date = {2021-01-01},

journal = {Journal of Japan Society of Civil Engineers},

volume = {9},

number = {1},

pages = {20 – 38},

note = {Cited by: 1; All Open Access, Bronze Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wu2021,

title = {Analysis of post-disaster population movement by using mobile spatial statistics},

author = {Lingling Wu and Makoto Chikaraishi and Hong T. A. Nguyen and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100275579&doi=10.1016%2fj.ijdrr.2021.102047&partnerID=40&md5=fd1b88f6c8611d9de386d3e9ee154a3a},

doi = {10.1016/j.ijdrr.2021.102047},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Disaster Risk Reduction},

volume = {54},

note = {Cited by: 10},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Do2020,

title = {Data quality analysis of interregional travel demand: Extracting travel patterns using matrix decomposition},

author = {Canh Xuan Do and Makoto Tsukai and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149341668&doi=10.1016%2fj.eastsj.2020.100018&partnerID=40&md5=7781b58a955c3a418fc110cc99101d4a},

doi = {10.1016/j.eastsj.2020.100018},

year  = {2020},

date = {2020-01-01},

journal = {Asian Transport Studies},

volume = {6},

note = {Cited by: 2; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chikaraishi2020105,

title = {Risk perception and social acceptability of autonomous vehicles: A case study in Hiroshima, Japan},

author = {Makoto Chikaraishi and Diana Khan and Banri Yasuda and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086377649&doi=10.1016%2fj.tranpol.2020.05.014&partnerID=40&md5=3dffbbfc1e51dff10e78b25795ebc02a},

doi = {10.1016/j.tranpol.2020.05.014},

year  = {2020},

date = {2020-01-01},

journal = {Transport Policy},

volume = {98},

pages = {105 – 115},

note = {Cited by: 51},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kang2019420,

title = {Analysis of Vehicle Maneuverability and Driving Characteristics on a Curved Road Condition},

author = {Xuejian Kang and Moon Namgung and Akimasa Fujiwara and Wonchul Kim and Weijie Wang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056864670&doi=10.1007%2fs12205-018-1803-y&partnerID=40&md5=b626767af5aacae2a9e86c17c65c3594},

doi = {10.1007/s12205-018-1803-y},

year  = {2019},

date = {2019-01-01},

journal = {KSCE Journal of Civil Engineering},

volume = {23},

number = {1},

pages = {420 – 432},

note = {Cited by: 24},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Aoyama2019,

title = {Vision-based modal analysis using multiple vibration distribution synthesis to inspect large-scale structures},

author = {Tadayoshi Aoyama and Liang Li and Mingjun Jiang and Takeshi Takaki and Idaku Ishii and Hua Yang and Chikako Umemoto and Hiroshi Matsuda and Makoto Chikaraishi and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056379737&doi=10.1115%2f1.4041604&partnerID=40&md5=2da95e67e4fef0ef133f3b016c75d591},

doi = {10.1115/1.4041604},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME},

volume = {141},

number = {3},

note = {Cited by: 18},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Aoyama2018179,

title = {Vibration Sensing of a Bridge Model Using a Multithread Active Vision System},

author = {Tadayoshi Aoyama and Liang Li and Mingjun Jiang and Kazuki Inoue and Takeshi Takaki and Idaku Ishii and Hua Yang and Chikako Umemoto and Hiroshi Matsuda and Makoto Chikaraishi and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032208076&doi=10.1109%2fTMECH.2017.2764504&partnerID=40&md5=88def4bbb93bbc4e67f25b4f0bf593fd},

doi = {10.1109/TMECH.2017.2764504},

year  = {2018},

date = {2018-01-01},

journal = {IEEE/ASME Transactions on Mechatronics},

volume = {23},

number = {1},

pages = {179 – 189},

note = {Cited by: 55},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Nguyen2017411,

title = {Elderly’s heterogeneous responses to topographical factors in travel mode choice within a hilly neighborhood: An analysis based on combined GPS and paper-based surveys},

author = {Thi Anh Hong Nguyen and Makoto Chikaraishi and Hajime Seya and Akimasa Fujiwara and Junyi Zhang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019369497&doi=10.18757%2fejtir.2017.17.3.3204&partnerID=40&md5=41e6835d2db9dc3ce8b538563d2b56a6},

doi = {10.18757/ejtir.2017.17.3.3204},

year  = {2017},

date = {2017-01-01},

journal = {European Journal of Transport and Infrastructure Research},

volume = {17},

number = {3},

pages = {411 – 424},

note = {Cited by: 4; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Nguyen201723,

title = {Mediation effects of income on travel mode choice: Analysis of short-distance trips based on path analysis with multiple discrete outcomes},

author = {Hong T. A. Nguyen and Makoto Chikaraishi and Akimasa Fujiwara and Junyi Zhang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055493907&doi=10.3141%2f2664-03&partnerID=40&md5=747365324eec9b9ba5b64eaabfaf0f96},

doi = {10.3141/2664-03},

year  = {2017},

date = {2017-01-01},

journal = {Transportation Research Record},

volume = {2664},

number = {1},

pages = {23 – 30},

note = {Cited by: 7},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Chikaraishi2017101,

title = {A framework to analyze capability and travel in formal and informal urban settings: A case from Mumbai},

author = {Makoto Chikaraishi and Arnab Jana and Ronita Bardhan and Varun Varghese and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033570644&doi=10.1016%2fj.jtrangeo.2017.09.001&partnerID=40&md5=2b1693fe178027391f4e3578fdbd9c02},

doi = {10.1016/j.jtrangeo.2017.09.001},

year  = {2017},

date = {2017-01-01},

journal = {Journal of Transport Geography},

volume = {65},

pages = {101 – 110},

note = {Cited by: 15},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Tran201742,

title = {Interdependences between current choices and future expectations in the context of Hanoians’ residential location choices},

author = {Minh Tu Tran and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944929734&doi=10.1080%2f21680566.2015.1095659&partnerID=40&md5=e1ca7b874a95a64dcc6dc747f9d0ed27},

doi = {10.1080/21680566.2015.1095659},

year  = {2017},

date = {2017-01-01},

journal = {Transportmetrica B},

volume = {5},

number = {1},

pages = {42 – 59},

note = {Cited by: 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Yu2016561,

title = {Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo},

author = {Biying Yu and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84967214897&doi=10.1177%2f0265813515614671&partnerID=40&md5=973bc89a4c59c3896b80a1a3b6be42ca},

doi = {10.1177/0265813515614671},

year  = {2016},

date = {2016-01-01},

journal = {Environment and Planning B: Planning and Design},

volume = {43},

number = {3},

pages = {561 – 579},

note = {Cited by: 3},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Tran2016181,

title = {A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam},

author = {Minh Tu Tran and Junyi Zhang and Makoto Chikaraishi and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973487334&doi=10.1016%2fj.jtrangeo.2016.06.003&partnerID=40&md5=d1a8c660a92d80e1a44ab3234a395fbe},

doi = {10.1016/j.jtrangeo.2016.06.003},

year  = {2016},

date = {2016-01-01},

journal = {Journal of Transport Geography},

volume = {54},

pages = {181 – 193},

note = {Cited by: 44},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chikaraishi2015302,

title = {The moderating effects of urbanization on carbon dioxide emissions: A latent class modeling approach},

author = {Makoto Chikaraishi and Akimasa Fujiwara and Shinji Kaneko and Phetkeo Poumanyvong and Satoru Komatsu and Andrey Kalugin},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84916877332&doi=10.1016%2fj.techfore.2013.12.025&partnerID=40&md5=a149b951dcf1d16b182275ccb03b0a1e},

doi = {10.1016/j.techfore.2013.12.025},

year  = {2015},

date = {2015-01-01},

journal = {Technological Forecasting and Social Change},

volume = {90},

number = {PA},

pages = {302 – 317},

note = {Cited by: 132},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Chikaraishi2015111,

title = {Exploring spillover effects of Mobility Management: A case study on changes in electricity consumptions by the Great East Japan Earthquake},

author = {Makoto Chikaraishi and Akimasa Fujiwara and Masato Ueda and Junyi Zhang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027948516&doi=10.1016%2fj.cstp.2014.07.006&partnerID=40&md5=18d509a3a4767543fda07489e1dffa1a},

doi = {10.1016/j.cstp.2014.07.006},

year  = {2015},

date = {2015-01-01},

journal = {Case Studies on Transport Policy},

volume = {3},

number = {2},

pages = {111 – 119},

note = {Cited by: 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yu2013441,

title = {Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing},

author = {Biying Yu and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876331676&doi=10.1016%2fj.enpol.2013.02.024&partnerID=40&md5=77cad18a02a897693fb7a03631332b6e},

doi = {10.1016/j.enpol.2013.02.024},

year  = {2013},

date = {2013-01-01},

journal = {Energy Policy},

volume = {57},

pages = {441 – 453},

note = {Cited by: 77},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yu201362,

title = {Rebound effects caused by the improvement of vehicle energy efficiency: An analysis based on a SP-off-RP survey},

author = {Biying Yu and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880345722&doi=10.1016%2fj.trd.2013.06.001&partnerID=40&md5=a69df1c0a390b51efa8b25b0cc38f55e},

doi = {10.1016/j.trd.2013.06.001},

year  = {2013},

date = {2013-01-01},

journal = {Transportation Research Part D: Transport and Environment},

volume = {24},

pages = {62 – 68},

note = {Cited by: 26},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yu2013330,

title = {A household time-use and energy-consumption model with multiple behavioral interactions and zero consumption},

author = {Biying Yu and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875465192&doi=10.1068%2fb38213&partnerID=40&md5=9e81510c22e6fdb0f5c5c69f094041f4},

doi = {10.1068/b38213},

year  = {2013},

date = {2013-01-01},

journal = {Environment and Planning B: Planning and Design},

volume = {40},

number = {2},

pages = {330 – 349},

note = {Cited by: 17},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wu20131,

title = {Tourism participation and expenditure behaviour: Analysis using a scobit based discrete-continuous choice model},

author = {Lingling Wu and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867755795&doi=10.1016%2fj.annals.2012.09.002&partnerID=40&md5=d160f7d2585d6366db7cb93a9dcc7829},

doi = {10.1016/j.annals.2012.09.002},

year  = {2013},

date = {2013-01-01},

journal = {Annals of Tourism Research},

volume = {40},

number = {1},

pages = {1 – 17},

note = {Cited by: 61; All Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wu2013662,

title = {Erratum to "Tourism participation and expenditure behaviour: Analysis using a scobit based discrete-continuous choice model" Ann. Tourism. Res. 40 (2013) 1-17},

author = {Lingling Wu and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886389480&doi=10.1016%2fj.annals.2013.05.001&partnerID=40&md5=fcfcf963987012f42582f6713e67e85c},

doi = {10.1016/j.annals.2013.05.001},

year  = {2013},

date = {2013-01-01},

journal = {Annals of Tourism Research},

volume = {43},

pages = {662},

note = {Cited by: 0; All Open Access, Bronze Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

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@article{Wu2012121,

title = {A Tourist's Multi-Destination Choice Model with Future Dependency},

author = {Lingling Wu and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859416882&doi=10.1080%2f10941665.2011.616902&partnerID=40&md5=050265c5010abf978f32beab0f9c801e},

doi = {10.1080/10941665.2011.616902},

year  = {2012},

date = {2012-01-01},

journal = {Asia Pacific Journal of Tourism Research},

volume = {17},

number = {2},

pages = {121 – 132},

note = {Cited by: 28},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Biying2012319,

title = {Analysis of the residential location choice and household energy consumption behavior by incorporating multiple self-selection effects},

author = {Yu Biying and Junyi Zhang and Akimasa Fujiwara},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861224064&doi=10.1016%2fj.enpol.2012.03.067&partnerID=40&md5=4d1b1389efea68b1a27e1741647c0784},

doi = {10.1016/j.enpol.2012.03.067},

year  = {2012},

date = {2012-01-01},

journal = {Energy Policy},

volume = {46},

pages = {319 – 334},

note = {Cited by: 62},

keywords = {},

pubstate = {published},

tppubtype = {article}

}