IATSS Research最新文献

{"title":"Quantifying the relationship between auditory distractions, reaction time, and crash probability","authors":"Rajesh Chouhan ,&nbsp;Ashish Dhamaniya ,&nbsp;A. Mohan Rao ,&nbsp;Kamini Gupta","doi":"10.1016/j.iatssr.2025.02.001","DOIUrl":"10.1016/j.iatssr.2025.02.001","url":null,"abstract":"<div><div>Mobile phones and listening to music while driving have become increasingly common behaviors despite the known risks they pose. The objective of this study is to examine the impact of phone call and listening to music on drivers' reaction times and to assess how these distractions influence the probability of crashes. Seventy seven participants with different age groups and gender were tested for their reaction time under three different environmental conditions: Normal, listening to music, and talking on the phone. Further, an Unmanned Aerial Vehicle (UAV) was used to collect traffic data on the National Highway, Signalized Intersection, and Toll Plaza. An automatic trajectory extraction tool was used to find the Time to Collision (TTC) values between different leader-follower pairs at all these locations. Reaction time variation under various testing conditions was plotted against the TTC values obtained from the field data to evaluate the real field accident probability. Under Normal condition, the average reaction times are 0.704 s for females and 0.727 s for males. With Music, the averages slightly increase to 0.743 s for females and 0.764 s for males. The Call condition shows a more pronounced effect, with average reaction times jumping to 0.800 s for females and 0.874 s for males. The study reveals that listening to music resulted in a 5.281 % increase in reaction time and a 10.57 % increase in crash probability compared to normal conditions. Being on a call had a much larger impact, resulting in an 18.47 % increase in reaction time and a 27.35 % increase in crash probability compared to normal conditions. These findings highlight the importance of avoiding distractions while driving and suggest that phone calls should be avoided while behind the wheel. The study can be used to develop policies regarding the use of mobile phones and also to compare accident risk across different traffic facilities.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 60-71"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the potential of half-height platform screen doors to prevent personal injury accidents: Evidence from the Tokyo metropolitan area railway network","authors":"Akira Okada,&nbsp;Taku Oshima","doi":"10.1016/j.iatssr.2025.01.002","DOIUrl":"10.1016/j.iatssr.2025.01.002","url":null,"abstract":"<div><div>While railway travel in Japan is considered one of the safest modes of transportation, passengers on station platforms still face notable risks, including hundreds of injuries and fatalities caused annually due to passenger falls, track intrusions, and collisions with trains. In response, railway operators have been working to enhance platform safety through the installation of platform screen doors (PSDs), supported with subsidies from the Japanese government and guided by numerical targets set by the government to promote their widespread adoption and reduce personal injury accidents. As prior research has primarily focused on their impact on suicide prevention, the effectiveness of PSDs in preventing various types of personal injury accidents has received limited attention. In this study, we compiled data on railway personal injury accidents in the Tokyo metropolitan area from 2002 to 2018, classified by accident attributes, as well as data on passenger numbers and PSD installation periods. Using a fixed-effect Poisson model, we estimated the extent to which the installation of half-height PSDs reduced personal injury accidents. The results show that the installation of PSDs led to a statistically significant reduction (93.1 %) in platform accidents, and almost completely prevented fatal incidents. Although the relationship between passenger volumes and accident frequency was expected to be positive, the parameter for passenger numbers was not statistically significant in most models, possibly due to the limitations of the dataset collected before COVID-19. These findings underscore the potential of PSD installations not only in improving platform safety but also in prompting further analysis of their cost-effectiveness to guide future implementation strategies.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 81-92"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SHAP-based convolutional neural network modeling for intersection crash severity on Thailand's highways","authors":"Jirapon Sunkpho ,&nbsp;Chamroeun Se ,&nbsp;Warit Wipulanusat ,&nbsp;Vatanavongs Ratanavaraha","doi":"10.1016/j.iatssr.2024.12.003","DOIUrl":"10.1016/j.iatssr.2024.12.003","url":null,"abstract":"<div><div>Intersection-related crashes on Thailand's highways pose a significant risk to road users, particularly motorcyclists. This study develops customized Convolutional Neural Network (CNN) models to classify the severity of intersection crashes and utilizes SHapley Additive exPlanations (SHAP) to interpret the models. The methodology involves using three years of crash data from Thailand's highways, covering the period from 2018 to 2020. Additionally, three CNN model variations were developed: a basic CNN, a CNN with dropout (CNN-D), and a CNN with both dropout and L2 regularization (CNN-DR). The results demonstrate the superior performance of the CNN-DR model in classifying crash severity for both motorcycle-related and nonmotorcycle-related intersection crashes. SHAP analysis reveals key factors influencing crash severity, including the year of the crash, with a clear distinction between pre-COVID-19 years (2018–2019) and the pandemic year (2020). Crash mechanisms, such as impacts with vehicles from adjacent approaches and rear-end collisions, are significant factors that increase the likelihood of serious crashes. The study also identifies the type of intersection, specifically curved intersections, T-intersections, and Y-intersections, as major determinants of crash severity, particularly for motorcycle-related crashes. Time-of-day analysis reveals early morning hours (00:00 to 5:59) as high-risk periods for nonmotorcycle-related crashes. Furthermore, the influence of highway types and vehicle involvement, such as regional secondary highways and the presence of trucks, is linked to the increased severity of motorcycle-related crashes. The insights derived from this study can guide road safety managers in implementing targeted interventions to reduce intersection crash severity on Thailand's highways.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"49 1","pages":"Pages 27-41"},"PeriodicalIF":3.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143164789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is a Driver's history of drunk driving and other traffic offenses linked to subsequent drunk driving and traffic crashes? A case study of Taiwan.","authors":"Kun-Feng (Ken) Wu,&nbsp;Yu-Jun Chen","doi":"10.1016/j.iatssr.2024.09.004","DOIUrl":"10.1016/j.iatssr.2024.09.004","url":null,"abstract":"<div><div>Crashes involving alcohol-impaired driving or driving under influence (DUI) are more likely to increase crash probability and severity. Many countries have adopted increasingly stringent policies in curbing DUI. Nevertheless, more and more studies show that while the total number of DUIs has reduced as a whole, DUI recidivism remains challenging. As such, this study seeks to research into whether it is possible to identify frequent DUI recidivists based on their traffic offense history, so that effective countermeasure could be put in place and in time. This study proposes using the drivers' traffic offense history and length of duration between two DUIs, the duration of re-offending, to identify frequent DUI recidivists. This approach is not only widely adopted in public health, but is also flexible in accommodating many modeling issues such as data censoring, recurrent events, and the inclusion of time-varying covariates to address questions like whether the probability of recidivism increases or decreases with subsequent DUI offenses or other traffic offenses or violations. Our major results show that: (1) For all drivers caught for a DUI, 10 % of them would be caught for another DUI within a year; (2) In contrast, the same one-year recidivism probability for those who accumulated two DUIs and two run-the-red-light could be as high as 17 %; (3) Each subsequent DUI increased the probability of a further DUI offense by 57 %; and (4) Each additional DUI offense was associated with 45 % increase in probability of being involved in a crash involving DUI. Overall, there are clear links between a driver's history of traffic offenses, DUI recidivism, and crash involvement, which could provide valuable information for authorities to profile potential recidivists and apply preventative measures in advance to reduce DUI-related crashes.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 487-495"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing public a priori acceptance of fully automated vehicles using an extended technology acceptance model and importance-performance analysis","authors":"Sina Rejali ,&nbsp;Kayvan Aghabayk ,&nbsp;Nirajan Shiwakoti","doi":"10.1016/j.iatssr.2024.10.004","DOIUrl":"10.1016/j.iatssr.2024.10.004","url":null,"abstract":"<div><div>Fully automated vehicles (FAVs) are anticipated to enter the passenger vehicle market soon. Given the uncertainties surrounding user adoption of this emerging technology, research is needed to understand their user acceptance. While most studies on the acceptance of automated vehicles have been conducted in upper-middle-income or high-income developed countries, similar research in middle-income countries is limited. This study aims to evaluate a priori acceptance of FAVs in a middle-income developing country by extending the Technology Acceptance Model (TAM). Trust, subjective norms, perceived safety risk and four decision-making styles (Thoroughness, Hesitancy, Social resistance, and Perfectionism) were included in the extended model. This study aims to evaluate a priori acceptance of FAVs in a middle-income developing country by extending the Technology Acceptance Model (TAM). Trust, subjective norms, perceived safety risk and four decision-making styles (Thoroughness, Hesitancy, Social resistance, and Perfectionism) were included in the extended model. Structural Equation Modeling was applied to confirm model validation by using data from 1026 drivers from different cities in Iran. A multi-group analysis was conducted to assess whether the relationships between model constructs vary across different demographic and background groups. Additionally, an importance-performance analysis was performed to gain a deeper understanding of the factors influencing behavioral intention. The findings of the model highlighted that beyond the original TAM scales, subjective norms were the strongest predictor in explaining drivers' intentions to use FAVs. Initial trust also moderately contributed to explaining user acceptance of FAVs. The results also revealed that among decision-making styles, thoroughness positively affected behavioral intention through trust, while social resistance had an indirect negative effect on intention. The findings showed that effect of the perceived safety risk on behavioral intention through the initial trust was confirmed; however, importance-performance map analysis revealed that a significant improvement was observed in the safety area that could still be obtained. It is suggested that policymakers start promoting the usefulness and ease of use of FAVs through advertisements, social media, public campaigns and autonomous vehicle test ride events to facilitate the adoption of FAVs when available in countries with similar sociocultural contexts.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 537-549"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Securing opportunities for activities and choices by local communities - A planning methodology for local public transport services as social common capital-","authors":"Hideyuki Kita","doi":"10.1016/j.iatssr.2024.10.002","DOIUrl":"10.1016/j.iatssr.2024.10.002","url":null,"abstract":"<div><div>This study proposes a methodology for planning local public transport services as social common capital necessary for people to secure a “healthy and cultural life.” The methodology systematizes the process of setting the level of achievement of the “size of activity opportunities,” which indicates the degree of “healthy and cultural life,” as a consensus among the local community, and socially choosing a planning alternative for public transport services to realize it from the perspective of mutual assistance. Although the individual methods that constitute the methodology are concrete “examples” for understanding the methodology as a whole, the empirical analysis conducted through a web-based survey showed that the social choice process worked as expected and confirmed the practicality of the methodology.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 560-571"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the driving skills-attitudes nexus for safer roads","authors":"Mahsa Bayat ,&nbsp;Kayvan Aghabayk ,&nbsp;Nirajan Shiwakoti","doi":"10.1016/j.iatssr.2024.10.001","DOIUrl":"10.1016/j.iatssr.2024.10.001","url":null,"abstract":"<div><div>While current research extensively delves into the importance of driving skills and attitudes concerning traffic safety, a conspicuous gap remains in substantiating a meaningful correlation between self-reported driving skills and attitudes toward traffic safety. This underscores the need for more in-depth investigation and empirical evidence to better elucidate the nature of the relationship between self-perceived driving skills and attitudes in the context of traffic safety. This study investigates the relationship between drivers' skills and their attitudes toward traffic safety. Data from 664 drivers were collected through self-report questionnaires covering driving skills, attitudes, and demographic information. Factor analysis revealed three distinct factors for both driving skills (perceptual-motor skills, safety skills, and decisional skills) and driving attitudes (attitudes toward rule violations and speeding, attitudes toward careless driving of others, and attitudes toward drinking and driving). Structural equation models unveiled a significant connection between drivers' attitudes and safety skills, as well as decisional skills. Improved safety skills correlated with less favorable attitudes toward rule violations, speeding, careless driving of others, and drinking and driving. Similarly, enhanced decisional skills were associated with a rise in attitudes toward rule violations, speeding, and disregarding careless driving of others. Demographic analysis indicated an inverse correlation between age and attitude factors/decisional skills, coupled with a positive correlation with safety skills. Older individuals had less favorable attitudes toward rule violation, speeding, careless driving of others, the combination of drinking and driving, and their decisional skills were lower. Gender analysis revealed that men had a lower favorable viewpoint toward all three attitude dimensions and reported higher perceptual-motor and decisional skills compared to safety skills. The findings underscore the significance of safety and decisional skills in shaping attitudes toward traffic safety. Demographic factors, particularly age and gender, play a role in influencing these skills and attitudes, offering valuable insights for interventions and policy considerations.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 496-505"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"History and social impact of IATSS research projects","authors":"Shunsuke Kamijo","doi":"10.1016/j.iatssr.2024.10.003","DOIUrl":"10.1016/j.iatssr.2024.10.003","url":null,"abstract":"","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 572-573"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors associated with speeding behavior of Moroccan drivers: Study guided by the theory of planned behavior","authors":"Abderrahim El Hafidy ,&nbsp;Taoufik Rachad ,&nbsp;Ali Idri","doi":"10.1016/j.iatssr.2024.09.003","DOIUrl":"10.1016/j.iatssr.2024.09.003","url":null,"abstract":"<div><div>This study investigates the determinants that influence drivers to exceed speed limits by using an extended version of the Theory of Planned Behavior (TPB). Therefore, data about 254 drivers representing various cities in Morocco were collected via a web-based questionnaire. Then, confirmatory factor analysis (CFA) was used to validate the proposed questionnaire, while structural equation modeling (SEM) was conducted to analyze and validate the hypothesized model. The results suggest that the extended TPB, incorporating additional factors of habit, moral norms and descriptive norms, outperforms the original TPB. Moreover, the findings underscore that speeding behavior is directly influenced by both speeding intention and habit, and indirectly influenced by moral norms and habit through the mediation of intention. The result of this study will contribute to developing new behavior change interventions aiming at combating speeding behavior and also contributing to ongoing efforts aiming at promoting road safety.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 516-522"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the impact of design elements on wrong-way driving incidents at partial cloverleaf interchange terminals","authors":"Qing Chang ,&nbsp;Yukun Song ,&nbsp;Md Mahmud Hossain ,&nbsp;Huaguo Zhou","doi":"10.1016/j.iatssr.2024.11.001","DOIUrl":"10.1016/j.iatssr.2024.11.001","url":null,"abstract":"<div><div>The complex geometric layout of partial cloverleaf (parclo) interchanges elevates the chances of drivers inadvertently choosing the incorrect ramp or direction. Previous research on wrong-way driving (WWD) has emphasized the frequent incidents at the off-ramp terminals of parclo interchanges. Many WWD incidents that did not result in a collision haven't received enough attention from researchers. Geometric features such as ramp design, signage placement, and interchange layout significantly influence driver behavior and decision-making. In this study, a comparative analysis was conducted to explore the correlation between geometric design elements and their impact on WWD incidents at parclo interchange terminals. Over 5000 h of video footage were meticulously reviewed to document instances of WWD at 75 parclo interchange terminals across 13 states. Multiple correspondence analysis was applied to explore the characteristics of the locations with recurring WWD incidents. The results revealed numerous associations among design elements that contributed to the increased risk of WWD incidents, including uncontrolled ramp terminal intersections without street lighting on a two-lane crossroad, poor pavement marking on a wide median between the on- and off-ramps, and so on. The outcomes of this study can be helpful in identifying and improving the critical geometric design criteria in parclo interchanges to minimize WWD incidents.</div></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":"48 4","pages":"Pages 550-559"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}