IATSS Research最新文献

{"title":"Revealing preferences for Bangkok Metro Station access modes through perceptions of safety, walkability, and service quality: A hybrid choice modeling approach","authors":"Varameth Vichiensan ,&nbsp;Vasinee Wasuntarasook ,&nbsp;Sathita Malaitham ,&nbsp;Atsushi Fukuda ,&nbsp;Wiroj Rujopakarn","doi":"10.1016/j.iatssr.2026.01.001","DOIUrl":"10.1016/j.iatssr.2026.01.001","url":null,"abstract":"<div><div>In developing cities, the effectiveness of urban rail systems depends not only on network expansion but also on safe and reliable first- and last-mile connections. This study examines metro station access mode choice in Bangkok, where informal services such as motorcycle taxis and Songthaews are widely used. A hybrid choice modeling framework is employed to integrate latent perceptions with observed factors, linking preferences, socio-demographics, and access mode choice behavior. Incorporating latent variables improved model fit, with the hybrid choice model outperforming a multinomial logit model benchmark. Walking increases when pedestrian environments meet safety and comfort expectations, while motorcycle taxi use declines when safety and service concerns persist. Songthaew choice is influenced more by tangible attributes than by latent perceptions. Socio-demographics affect mode choices both directly and indirectly through latent preferences, revealing attitudinal mediation pathways. The study highlights targeted interventions to improve walking environments, enhance motorcycle taxi safety, explore safer flexible alternatives, and standardize operations for informal modes, thereby supporting safety, sustainability, and equitable metro access in developing cities.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 680-690"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sharing the road with autonomous vehicles: US cyclists' attitudes, concerns, and infrastructure needs","authors":"Obiageli L. Ngwu,&nbsp;Mahmudur Rahman,&nbsp;Eshwara Prasad Sridhar","doi":"10.1016/j.iatssr.2025.12.005","DOIUrl":"10.1016/j.iatssr.2025.12.005","url":null,"abstract":"<div><div>Cyclist safety remains an important issue, with U.S. cycling fatalities rising to 966 in 2021 (a 1.9 % increase over 2020). As autonomous vehicles (AVs) become more common in mixed traffic, understanding their safety implications for cyclists is essential, since cyclists lack the physical protection of motor vehicle occupants and depend on predictable interactions to prevent crashes. Existing research rarely explores how cyclists perceive and engage with AVs, leaving infrastructure and communication needs largely underexamined. This study assessed U.S. cyclists' attitudes toward AVs, their anxiety about sharing the road, and their preferences for traffic infrastructure and AV communication interfaces. We conducted an online survey with 231 U.S. cyclists, measuring attitude, perceived usefulness, anxiety, receptivity (cyclists' willingness to access AVs), and preferences for four infrastructure designs and five AV-to-cyclist communication signs. Cyclists reported a positive attitude (mean score of 4.68 out of 7) and perceived usefulness (4.6 out of 7) of AVs despite moderate anxiety (3.48 out of 7). The results of a structural equation modeling analysis show that perceived usefulness and anxiety collectively explained 88 % (Adjusted <span><math><msup><mi>R</mi><mn>2</mn></msup></math></span>) of the variance in receptivity. Protected cycle lanes with discontinuous (chosen by 68 % of participants) or continuous barriers (74 %) ranked highest for infrastructure. A combined visual/audio sign (52 %) and a cyclist-icon visual sign (47 %) were most preferred for communication. Incorporating cyclist-focused infrastructure and clear multisensory AV communication features can improve acceptance and safety as AVs are integrated into mixed-traffic environments.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 653-668"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What are the behavioral features of Japanese cycling? Identifying risk-related strengths and weaknesses in a global context","authors":"Sergio A. Useche ,&nbsp;Nagahiro Yoshida ,&nbsp;Francisco Alonso ,&nbsp;Javier Gene-Morales","doi":"10.1016/j.iatssr.2025.12.004","DOIUrl":"10.1016/j.iatssr.2025.12.004","url":null,"abstract":"<div><div>Japan has a long-standing and widespread cycling culture, but empirical data on cyclists' risk-related behaviors are still relatively scarce. In particular, little is known about how Japanese cyclists perceive risk, comply with traffic rules, and experience cycling crashes compared with riders in other regions. Generating this type of comparative evidence may help to better situate the Japanese case within global cycling safety trends and to guide future preventive measures.</div></div><div><h3>Objective</h3><div>This study aims to bridge this gap by comparing self-reported traffic violations, errors, and positive behaviors, risk perception, acceptance, and use of technology while riding, and crashes between Japanese cyclists and an international sample of cyclists across five continents.</div></div><div><h3>Method</h3><div>A total of 11,276 cyclists (691 Japanese, 10,585 from other countries across five continents) completed an online questionnaire on cycling safety-related variables (Cycling Behavior Questionnaire – CBQ, Risk Perception and Regulation Scale – RPRS, Technology Affinity Scale – TAEG, and self-reported cycling patterns and safety incidents). Group comparisons were conducted using MANCOVA adjusting for age and exposure, complemented by Welch's robust tests for individual between-group comparisons.</div></div><div><h3>Results</h3><div>The most common risky behaviors among Japanese cyclists were running red lights and riding against traffic flow, while signal misunderstanding and distracted bumps were least frequent. Compared to global trends, Japanese cyclists reported lower engagement in technological distractions, such as mobile phone or headphone use. However, they also showed a comparatively lower helmet use and risk perception. Despite reporting fewer crashes, their reduced adoption of protective measures and avoidance-related behaviors suggests potential safety concerns.</div></div><div><h3>Conclusion and implications</h3><div>These findings suggest that Japanese cycling behavior reflects both strengths and areas for improvement, likely shaped by cultural factors. While strong adherence to traffic norms and minimal engagement with technological distractions may contribute to fewer crashes, gaps in passive safety practices and positive behavioral habits emerge as key concerns. These insights can inform road safety policies and cycling promotion strategies in Japan and beyond.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 624-632"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the motorcycle crash risks and riders' risk profiles: Evidence from the motorcycle crash causation study","authors":"Mouyid Islam ,&nbsp;Xiaobing Li","doi":"10.1016/j.iatssr.2025.10.003","DOIUrl":"10.1016/j.iatssr.2025.10.003","url":null,"abstract":"<div><div>Motorcyclists are among the most vulnerable road users in the United States, facing disproportionately high crash and fatality rates, while many states prioritize motorcycle safety through the Strategic Highway Safety Plan. Despite this alarming trend, crash reports often lack critical insights into rider behavior and contributing risk factors. National crash data highlights an alarming trend where motorcycle crashes and fatality rates significantly exceed those of passenger cars, with sharp increases in recent years. However, existing crash reports often lack critical details about motorcycle operator behavior and risk factors, limiting efforts to develop effective safety interventions. This study aims to bridge this gap by analyzing the Federal Highway Administration's Motorcycle Crash Causation Study dataset, incorporating both crash-involved motorcyclists and paired control groups who were not in the crashes. By applying a random parameter logit model to estimate crash likelihood and a random parameter Weibull model to assess hazard duration until crash occurrence, this research identifies key contributing factors. Findings reveal that rider age, annual mileage, prior crash experience, passenger presence, travel speed, licensing status, motorcycle maintenance practices, and riding tasks play pivotal roles in influencing motorcycle crash risks. These insights underscore the urgent need for targeted motorcycle rider training, policy enhancements, and proactive safety interventions. By collaborating with state and local stakeholders, decision-makers can implement strategies that reduce motorcycle-related crashes, ultimately improving roadway safety for all users.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 691-700"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shaping the future of cycling safety: A research agenda for the next two decades","authors":"Oscar Oviedo-Trespalacios ,&nbsp;Francisco Alonso ,&nbsp;Heike Bunte ,&nbsp;Yan Feng ,&nbsp;Angela Francke ,&nbsp;Cara J. Hamann ,&nbsp;Stephanie Jansson ,&nbsp;Andreas Keler ,&nbsp;Masato Kitano ,&nbsp;Christoph M. Konrad ,&nbsp;Michael J. Kuzel ,&nbsp;Claudia Leschik ,&nbsp;Manfred Neun ,&nbsp;Masayoshi Okubo ,&nbsp;Elisabeth Rubie ,&nbsp;Nicolas Saunier ,&nbsp;Ichiro Sugitani ,&nbsp;Nur S.A. Sukor ,&nbsp;Hayato Tomisu ,&nbsp;Axel Thieulin ,&nbsp;Sergio A. Useche","doi":"10.1016/j.iatssr.2026.02.003","DOIUrl":"10.1016/j.iatssr.2026.02.003","url":null,"abstract":"<div><div>The global shift toward sustainable transportation has raised the profile of cycling. Yet cycling safety still faces persistent challenges (e.g., fragmented governance, inequitable infrastructure, scarce research) that are often overshadowed by motorized transport agendas. This paper presents findings from a workshop held at the 12th International Cycling Safety Conference (ICSC2024) in Imabari, Japan, which brought together an interdisciplinary group of 31 experts (researchers, practitioners, and policymakers) to explore prospective research directions for cycling safety over the next two decades. Drawing on submitted abstracts, group dialogues, and post-event reflections, we used participatory methods, speculative exercises, and collaborative discussions to conduct a thematic analysis that organized key factors into five domains: society, policy, infrastructure, vehicles, and road users. This framework supports a long-term research agenda to address the interconnected challenges of cycling safety. Key priorities include: (i) behavioral and societal studies to make cycling safer and more appealing for diverse users; (ii) development of AI-enabled safety technologies; (iii) establishment of international infrastructure standards; and (iv) tools to anticipate risks linked to emerging vehicle technologies. Additional directions involve the use of eXtended Reality (XR) for behavioral research, multimodal integration, and the ethical and privacy dimensions of data collection. Practically, the findings highlight the importance of participatory and multidisciplinary approaches for tackling real-world safety issues and guiding future research.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 721-735"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating the safety impact of mandatory ABS legislation for motorised two-wheelers in India using interrupted time series","authors":"Abhaya Jha ,&nbsp;K. Ramachandra Rao ,&nbsp;Zuduo Zheng","doi":"10.1016/j.iatssr.2025.12.001","DOIUrl":"10.1016/j.iatssr.2025.12.001","url":null,"abstract":"<div><div>Motorised two-wheelers (MTW) are India's most common mode of transport and have one of the highest fatal crash rates recorded among all transport modes in the country. Unlike four-wheelers, there has been a significant gap in developing crash-preventive safety devices for MTW. One of the most promising such devices is the antilock braking system (ABS), which has shown better braking performance and improved vehicle stability during emergency braking. Although extensively studied in laboratory conditions and simulations, the effectiveness of ABS has not been thoroughly studied in real-world scenarios. In April 2019, the government of India mandated that all new MTW vehicles produced in the country be equipped with ABS in an effort to reduce fatal crashes among MTW riders. This study examines the crash rates of MTW in Delhi (India) from 2016 to 2022, using Bayesian structural time series to assess the effectiveness of the ABS legislation in improving the safety of MTW users. The study period also includes the time when there were lockdowns due to the COVID-19 pandemic, which significantly affected traffic volume and the number of crashes. To account for these effects, this study normalised the MTW crash rates by the average number of vehicle kilometres travelled. The findings indicate a reduction of 11 % in MTW fatal crash rates in Delhi attributed to ABS legislation.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 613-623"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145886458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of a simulator-based safe driving intervention method on older driver's behavior at unsignalized intersections: A preliminary study","authors":"Hiroshi Yoshitake,&nbsp;Motoki Shino","doi":"10.1016/j.iatssr.2025.12.002","DOIUrl":"10.1016/j.iatssr.2025.12.002","url":null,"abstract":"<div><div>This study proposes a novel simulator-based intervention method that enables older drivers to observe both their own and an instructor's safe driving from a first-person perspective and to practice safe driving repeatedly with real-time visual feedback to improve driving behavior at unsignalized intersections. A preliminary experiment involving 15 older drivers compared changes in driving behavior between participant groups with and without the proposed intervention. Results showed that the proposed method significantly reduced vehicle speeds in both simulated and real-world environments and enhanced driver's awareness of their own speed. The findings suggest the effectiveness of first-person perspective training with feedback in promoting safer driving behavior among older adults.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 603-612"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145845532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling vehicle-cyclists' interactions to support automated driving and advanced driving assistance systems","authors":"Ali Mohammadi ,&nbsp;Audrey Bruneau ,&nbsp;Marco Dozza","doi":"10.1016/j.iatssr.2026.02.004","DOIUrl":"10.1016/j.iatssr.2026.02.004","url":null,"abstract":"<div><div>Cycling has gained increasing popularity across Europe, yet the frequency and severity of cyclist-vehicle conflicts at unsignalized intersections remain key road-safety concerns. This study investigates the interaction between drivers and cyclists in such settings, focusing on the role of intersection visibility (IV), difference in time to arrival (DTA) of the car and bicycle, and drivers' gaze behavior in shaping yielding decisions, braking patterns, and speed profiles. Using a driving simulator equipped with eye-tracking technology, participants completed multiple drives through the digital twin of a real-world intersection. The IV was systematically varied by repositioning a parked truck, while the DTA was controlled by triggering the virtual cyclist's approach at different temporal offsets relative to the car's arrival.</div><div>Mixed-effects Bayesian regression models revealed that both IV and DTA significantly influenced the drivers' likelihood of yielding: higher visibility and a shorter time difference between vehicle and cyclist arrivals consistently increased yielding rates. Gaze behavior also emerged as a critical factor; earlier fixation on the crossing cyclist strongly correlated with the likelihood of deciding to yield. In contrast, no single predictor significantly explained the distance at which drivers initiated braking. Speed-profile analyses further underscored the finding that drivers' deceleration strategies are shaped by visibility constraints and perceived temporal pressure from oncoming cyclists.</div><div>These findings highlight the importance of visibility, temporal cues, and visual attention metrics in intersection designs and advanced driver assistance systems. Safety technologies and automated features can more accurately anticipate driver-cyclist interactions when gaze behavior is integrated into their predictive models. Future work should confirm these insights through on-road studies, as well as exploring additional intersection layouts and environmental conditions to obtain more data that can lead to enhance both infrastructure design and automated vehicle algorithms.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 712-720"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning training methods using image generation for detecting illegal sidewalk riding by slow vehicles","authors":"Tetsuya Manabe,&nbsp;Shunsuke Katayama","doi":"10.1016/j.iatssr.2026.02.006","DOIUrl":"10.1016/j.iatssr.2026.02.006","url":null,"abstract":"<div><div>This study proposes and evaluates efficient methods for creating training data using image generation and viewpoint transformation. We aim to prevent illegal sidewalk riding by slow vehicles, including small motorized bicycles. The study demonstrates that introducing image completion of vehicle objects to the conventional method using viewpoint transformation enhances its performance, improving the true positive rate by approximately 6.5% compared to the baseline. In addition, the training data created by image completion of the background area demonstrated a 7.3% higher performance in identifying the riding environment and reduced the training data creation time by 64% compared to the conventional method using viewpoint transformation. These results demonstrate the effectiveness of efficient training data creation using image completion. Because a large amount of training data is necessary to achieve high performance in riding environment identification across various environments, this study provides relevant insights to facilitate safe riding support for slow vehicles. Ultimately, the proposed method contributes to the development of robust monitoring systems that can rapidly adapt to new traffic regulations and diverse road conditions, thereby enhancing the safety of pedestrians and riders.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 736-753"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic bicycle balance assistance reduces probability of falling at low speeds when subjected to handlebar perturbations","authors":"Marten T. Haitjema,&nbsp;Leila Alizadehsaravi,&nbsp;Jason K. Moore","doi":"10.1016/j.iatssr.2026.02.001","DOIUrl":"10.1016/j.iatssr.2026.02.001","url":null,"abstract":"<div><div>Uncontrolled bicycles are generally unstable at low speeds. We add an automatically controlled steering motor to a consumer electric bicycle that stabilizes the riderless bicycle down to just below 4 km<!--> <!-->h⁻¹ to assist a rider in balancing the vehicle. We hypothesize that a such a stabilized bicycle will reduce the probability of falling. To test the system’s possible assistance during falls, we applied varying magnitude external handlebar perturbations to twenty-six participants who rode on a treadmill with the balance assist system both activated and deactivated. We show that the probability of recovering from a handlebar perturbation significantly increases when the balance assist is activated at a travel speed of 6 km<!--> <!-->h⁻¹. This positive effect is most prominent at and around the individual riders’ perturbation resistance threshold. We conclude that use of a balance assist system in real world bicycling can reduce the number of falls that occur near riders’ control authority limits.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"50 1","pages":"Pages 701-711"},"PeriodicalIF":3.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}