Pub Date : 2025-04-03DOI: 10.1016/j.trf.2025.03.026
Ali Mohammadi , Amir Hossein Kalantari , Gustav Markkula , Marco Dozza
According to crash data reports, most collisions between cyclists and motorized vehicles occur at unsignalized intersections (where no traffic lights regulate vehicle priority). In the era of automated driving, it is imperative for automated vehicles to ensure the safety of cyclists, especially at these intersections. In other words, to safely interact with cyclists, automated vehicles need models that can describe how cyclists cross and yield at intersections. So far, only a few studies have modeled the interaction between cyclists and motorized vehicles at intersections, and none of them have explored the variations in interaction outcomes based on the type of drivers involved. In this study, we compare non-professional drivers (represented by passenger car drivers) and professional drivers (truck and taxi drivers). We also introduce a novel application of game theory by comparing logit and game theoretic models’ analyses of the interactions between cyclists and motorized vehicles, leveraging naturalistic data. Interaction events were extracted from a trajectory dataset, and cyclists’ non-kinematic cues were extracted from videos and incorporated into the interaction events’ data. The modeling outputs showed that professional drivers are less likely to yield to cyclists than non-professional drivers. Furthermore, the behavioral game theoretic models outperformed the logit models in predicting cyclists’ crossing decisions.
{"title":"Cyclists’ interactions with professional and non-professional drivers: Observations and game theoretic models","authors":"Ali Mohammadi , Amir Hossein Kalantari , Gustav Markkula , Marco Dozza","doi":"10.1016/j.trf.2025.03.026","DOIUrl":"10.1016/j.trf.2025.03.026","url":null,"abstract":"<div><div>According to crash data reports, most collisions between cyclists and motorized vehicles occur at unsignalized intersections (where no traffic lights regulate vehicle priority). In the era of automated driving, it is imperative for automated vehicles to ensure the safety of cyclists, especially at these intersections. In other words, to safely interact with cyclists, automated vehicles need models that can describe how cyclists cross and yield at intersections. So far, only a few studies have modeled the interaction between cyclists and motorized vehicles at intersections, and none of them have explored the variations in interaction outcomes based on the type of drivers involved. In this study, we compare non-professional drivers (represented by passenger car drivers) and professional drivers (truck and taxi drivers). We also introduce a novel application of game theory by comparing logit and game theoretic models’ analyses of the interactions between cyclists and motorized vehicles, leveraging naturalistic data. Interaction events were extracted from a trajectory dataset, and cyclists’ non-kinematic cues were extracted from videos and incorporated into the interaction events’ data. The modeling outputs showed that professional drivers are less likely to yield to cyclists than non-professional drivers. Furthermore, the behavioral game theoretic models outperformed the logit models in predicting cyclists’ crossing decisions.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"112 ","pages":"Pages 48-62"},"PeriodicalIF":3.5,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-02DOI: 10.1016/j.trf.2025.03.013
Elisa Alfaro , Cristina Marin , Sergio A. Useche
Public transport systems continue to gain ground as a cornerstone of sustainable urban mobility, offering alternatives to private car use, city congestion, and pollution. In this context, the shift toward regular public transport use seems influenced by several factors, with previous studies suggesting that safety concerns, service quality, and environmental value are key predictors of public transport usage intention. However, gender-based differences in travelers’ intentions and choices remain underexplored.
Aim
This research aimed to investigate gender differences in public transport usage intentions, focusing on the role of individual, psychosocial, and transport system-related factors as structural predictors.
Methods
This study used data from 820 Spanish public transport travelers, evenly divided by gender. The data, collected through an electronic survey, were analyzed using Multi-Group Structural Equation Modeling (MGSEM) to assess gender-based differences in the relationships between literature-based predictors and public transport usage intentions.
Results
The multivariate analyses showed significant gender differences in the perception of public transport system features and usage intentions. While both genders reported high concerns regarding security threats, women placed greater emphasis on sustainability contributions in their transport choices. Moreover, although extrinsic incentives did not significantly predict usage intentions, sustainability dissemination did so for both genders, suggesting that effective communication may help overcome the lack of influence from such incentives in promoting public transport usage intentions.
Conclusion
The findings of this study highlight gender-sensitive differences regarding specific concerns related to safety, service quality, inclusiveness, and the sustainability value of public transport, beyond the differential influence of these factors on ridership levels.
Policy implications
These outcomes support the need to address gender-specific needs that could enhance the effectiveness of public transport systems and support broader sustainable mobility goals.
{"title":"Mind the Gap! Gender differences in the predictors of public transport usage intention","authors":"Elisa Alfaro , Cristina Marin , Sergio A. Useche","doi":"10.1016/j.trf.2025.03.013","DOIUrl":"10.1016/j.trf.2025.03.013","url":null,"abstract":"<div><div>Public transport systems continue to gain ground as a cornerstone of sustainable urban mobility, offering alternatives to private car use, city congestion, and pollution. In this context, the shift toward regular public transport use seems influenced by several factors, with previous studies suggesting that safety concerns, service quality, and environmental value are key predictors of public transport usage intention. However, gender-based differences in travelers’ intentions and choices remain underexplored.</div></div><div><h3>Aim</h3><div>This research aimed to investigate gender differences in public transport usage intentions, focusing on the role of individual, psychosocial, and transport system-related factors as structural predictors.</div></div><div><h3>Methods</h3><div>This study used data from 820 Spanish public transport travelers, evenly divided by gender. The data, collected through an electronic survey, were analyzed using Multi-Group Structural Equation Modeling (MGSEM) to assess gender-based differences in the relationships between literature-based predictors and public transport usage intentions.</div></div><div><h3>Results</h3><div>The multivariate analyses showed significant gender differences in the perception of public transport system features and usage intentions. While both genders reported high concerns regarding security threats, women placed greater emphasis on sustainability contributions in their transport choices. Moreover, although extrinsic incentives did not significantly predict usage intentions, sustainability dissemination did so for both genders, suggesting that effective communication may help overcome the lack of influence from such incentives in promoting public transport usage intentions.</div></div><div><h3>Conclusion</h3><div>The findings of this study highlight gender-sensitive differences regarding specific concerns related to safety, service quality, inclusiveness, and the sustainability value of public transport, beyond the differential influence of these factors on ridership levels.</div></div><div><h3>Policy implications</h3><div>These outcomes support the need to address gender-specific needs that could enhance the effectiveness of public transport systems and support broader sustainable mobility goals.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 453-466"},"PeriodicalIF":3.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-02DOI: 10.1016/j.trf.2025.03.021
Yong Peng , Chenxi Li , Xianhui Wu , Hang Cao , Guoliang Xiang , Honggang Wang
The interaction between signal-controlled intersection and pedestrian primarily relies on pedestrian traffic signals. With increasing pedestrian-related intersection accidents, it is imperative to investigate pedestrian behavior particularly under flashing green countdown signals. This experiment was conducted at a real-world signal-controlled intersection in Changsha City, China, where 30 university students (aged 20–28, with a balanced gender distribution) wore eye-tracking glasses and motion sensor while crossing the street. This study investigated the mechanism through which pedestrian countdown signals (PCS) affect pedestrian crossing behavior and visual attention under mobile phone distraction and time constraint, while exploring the differences in pedestrian behavior before and after the flashing green countdown signals. The results reveal that flashing green countdown signals prompted pedestrians to redirect their visual attention toward the PCS, enhancing the efficiency of visual information processing while significantly facilitating faster crossings. However, mobile phone distraction weakened these positive effects of PCS, reducing the likelihood of shifting visual attention toward the PCS and decreasing the relative speed change rate by 55%, while also increasing the rate of green phase crossing incompletion. Besides, this study indicates that pedestrians had a significantly reduced level of attention to the PCS under crossing time constraints, whereas attention to the zebra crossing area increased. Flashing green countdown signals had a stronger impact on pedestrians’ speed characteristics under limited crossing time, with crossing speed variation being 2.71 times more pronounced after PCS green light flashing, while the probability of visual attention shifts to the PCS decreased. These findings are significant for understanding the mechanisms by which the flashing green signal affects pedestrians and may provide a scientific basis for future intersection management policies and intelligent transportation infrastructure.
{"title":"Pedestrian crossing behavior and visual attention under flashing green countdown signals","authors":"Yong Peng , Chenxi Li , Xianhui Wu , Hang Cao , Guoliang Xiang , Honggang Wang","doi":"10.1016/j.trf.2025.03.021","DOIUrl":"10.1016/j.trf.2025.03.021","url":null,"abstract":"<div><div>The interaction between signal-controlled intersection and pedestrian primarily relies on pedestrian traffic signals. With increasing pedestrian-related intersection accidents, it is imperative to investigate pedestrian behavior particularly under flashing green countdown signals. This experiment was conducted at a real-world signal-controlled intersection in Changsha City, China, where 30 university students (aged 20–28, with a balanced gender distribution) wore eye-tracking glasses and motion sensor while crossing the street. This study investigated the mechanism through which pedestrian countdown signals (PCS) affect pedestrian crossing behavior and visual attention under mobile phone distraction and time constraint, while exploring the differences in pedestrian behavior before and after the flashing green countdown signals. The results reveal that flashing green countdown signals prompted pedestrians to redirect their visual attention toward the PCS, enhancing the efficiency of visual information processing while significantly facilitating faster crossings. However, mobile phone distraction weakened these positive effects of PCS, reducing the likelihood of shifting visual attention toward the PCS and decreasing the relative speed change rate by 55%, while also increasing the rate of green phase crossing incompletion. Besides, this study indicates that pedestrians had a significantly reduced level of attention to the PCS under crossing time constraints, whereas attention to the zebra crossing area increased. Flashing green countdown signals had a stronger impact on pedestrians’ speed characteristics under limited crossing time, with crossing speed variation being 2.71 times more pronounced after PCS green light flashing, while the probability of visual attention shifts to the PCS decreased. These findings are significant for understanding the mechanisms by which the flashing green signal affects pedestrians and may provide a scientific basis for future intersection management policies and intelligent transportation infrastructure.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"112 ","pages":"Pages 28-47"},"PeriodicalIF":3.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recently, the development of personal mobility vehicles (PMVs) has expanded shared spaces where pedestrians and different forms of mobility interact. In these shared spaces, traffic participants must interact with PMVs using strategies different from those used when interacting with pedestrians. This study aimed to elucidate the role-based differences in the function of gaze toward the partner in collision avoidance between PMVs. The experiment measured gaze, positional information, and understanding of the partner's intentions as two wheelchair-type PMVs passed each other and avoided collision. The results showed that the function of gaze varies based on roles in collision avoidance. First, we observed that the leader, who passes through the collision point first, gazes toward their partner to demand coordination behavior, while the follower, who passes through the collision point later, gazes at their partner to prompt coordination behavior and adjust their own behavior. Second, our results showed that only the follower's gaze improves the ratings of understanding and conveying the partner's intentions. These findings provide evidence that gaze is a critical source of information in collision avoidance between two PMVs, and its utilization varies depending on the role.
{"title":"Functional differences in gaze based on roles in collision avoidance between wheelchair-type personal mobility vehicles","authors":"Yuki Ninomiya , Shota Matsubayashi , Kazuhisa Miwa , Hitoshi Terai , Naoki Akai , Daisuke Deguchi , Hiroshi Murase","doi":"10.1016/j.trf.2025.03.016","DOIUrl":"10.1016/j.trf.2025.03.016","url":null,"abstract":"<div><div>Recently, the development of personal mobility vehicles (PMVs) has expanded shared spaces where pedestrians and different forms of mobility interact. In these shared spaces, traffic participants must interact with PMVs using strategies different from those used when interacting with pedestrians. This study aimed to elucidate the role-based differences in the function of gaze toward the partner in collision avoidance between PMVs. The experiment measured gaze, positional information, and understanding of the partner's intentions as two wheelchair-type PMVs passed each other and avoided collision. The results showed that the function of gaze varies based on roles in collision avoidance. First, we observed that the leader, who passes through the collision point first, gazes toward their partner to demand coordination behavior, while the follower, who passes through the collision point later, gazes at their partner to prompt coordination behavior and adjust their own behavior. Second, our results showed that only the follower's gaze improves the ratings of understanding and conveying the partner's intentions. These findings provide evidence that gaze is a critical source of information in collision avoidance between two PMVs, and its utilization varies depending on the role.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"112 ","pages":"Pages 15-27"},"PeriodicalIF":3.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-28DOI: 10.1016/j.trf.2025.03.020
Wenjing Zhao, Ruifeng Gu, N.N. Sze
Hazardous scenarios, including sudden brake and lane changes, are major contributory factors to crashes on urban expressways. Studies have identified the environmental and traffic factors affecting crash risk on urban expressways through empirical data analysis and observational surveys. Additionally, the relationship between driver characteristics and safety perception has been measured using attitudinal surveys. However, it is rare for the interferences between driver safety perception and driving behaviour to be considered, not to mention the discrepancies between perceived and actual crash risk. In this study, the influences of driver demographics, travel habits, road environment, and traffic conditions, in addition to driver safety perception, on driving behaviour are examined using a hybrid driving simulator and attitudinal survey approach. Discrepancies between safety perception and driving performance metrics, including timely response, potential crash, maximum deceleration, and maximum lateral displacement in two hazard scenarios, are evaluated. Furthermore, the effects of individual heterogeneity on these associations are accounted using a random parameters approach. The results indicate that there are significant differences between driver safety perception and actual driving behaviour in adverse weather conditions. Additionally, factors such as driver demographics, travel habits, traffic volume, penetration rate of heavy vehicles, and speed limits all affect driving performance. Nevertheless, individual heterogeneity in the effects of driver characteristics, traffic conditions, and traffic control is significant. These finding should shed light on the design and development of personalized driver assistance systems that consider driver safety perception, road environment, and real-time traffic conditions.
{"title":"Interferences between driver safety perception and driving behaviour: Hybrid attitudinal survey and driving simulator study for hazard scenarios on urban expressway","authors":"Wenjing Zhao, Ruifeng Gu, N.N. Sze","doi":"10.1016/j.trf.2025.03.020","DOIUrl":"10.1016/j.trf.2025.03.020","url":null,"abstract":"<div><div>Hazardous scenarios, including sudden brake and lane changes, are major contributory factors to crashes on urban expressways. Studies have identified the environmental and traffic factors affecting crash risk on urban expressways through empirical data analysis and observational surveys. Additionally, the relationship between driver characteristics and safety perception has been measured using attitudinal surveys. However, it is rare for the interferences between driver safety perception and driving behaviour to be considered, not to mention the discrepancies between perceived and actual crash risk. In this study, the influences of driver demographics, travel habits, road environment, and traffic conditions, in addition to driver safety perception, on driving behaviour are examined using a hybrid driving simulator and attitudinal survey approach. Discrepancies between safety perception and driving performance metrics, including timely response, potential crash, maximum deceleration, and maximum lateral displacement in two hazard scenarios, are evaluated. Furthermore, the effects of individual heterogeneity on these associations are accounted using a random parameters approach. The results indicate that there are significant differences between driver safety perception and actual driving behaviour in adverse weather conditions. Additionally, factors such as driver demographics, travel habits, traffic volume, penetration rate of heavy vehicles, and speed limits all affect driving performance. Nevertheless, individual heterogeneity in the effects of driver characteristics, traffic conditions, and traffic control is significant. These finding should shed light on the design and development of personalized driver assistance systems that consider driver safety perception, road environment, and real-time traffic conditions.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 435-452"},"PeriodicalIF":3.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-28DOI: 10.1016/j.trf.2025.03.014
Wei Peng, Kathryn Robinson-Tay
Autonomous vehicles have the potential to improve public safety and change the transportation landscape, but their public acceptance is not sufficiently understood. Grounded in the Technology Acceptance Model (TAM), this research proposed and validated measurement models to identify the primary factors of perceived usefulness (PU) and perceived ease of use (EU) associated with autonomous vehicles. Also, we proposed a path model to examine the relationships between PU, EU, individual differences, and acceptance. This cross-sectional study sampled 323 U.S. adults from an online panel. The result showed that PU was explained by the safety, transportation functions, societal impact, epistemic value, and emotional value of autonomous vehicles. EU was explained by complexity, observability, and desire for trial. In the path model, knowledge showed a negative relationship with PU but a positive one with EU. PU was related to trust, adoption intention, and support for research and policy. EU was related to PU, car authority identity, and trust. We discussed the theoretical implications of our findings and practical applications related to this emerging technology.
{"title":"Assessing the characteristics and outcomes of perceived usefulness and ease of use for autonomous vehicle adoption","authors":"Wei Peng, Kathryn Robinson-Tay","doi":"10.1016/j.trf.2025.03.014","DOIUrl":"10.1016/j.trf.2025.03.014","url":null,"abstract":"<div><div>Autonomous vehicles have the potential to improve public safety and change the transportation landscape, but their public acceptance is not sufficiently understood. Grounded in the Technology Acceptance Model (TAM), this research proposed and validated measurement models to identify the primary factors of perceived usefulness (PU) and perceived ease of use (EU) associated with autonomous vehicles. Also, we proposed a path model to examine the relationships between PU, EU, individual differences, and acceptance. This cross-sectional study sampled 323 U.S. adults from an online panel. The result showed that PU was explained by the safety, transportation functions, societal impact, epistemic value, and emotional value of autonomous vehicles. EU was explained by complexity, observability, and desire for trial. In the path model, knowledge showed a negative relationship with PU but a positive one with EU. PU was related to trust, adoption intention, and support for research and policy. EU was related to PU, car authority identity, and trust. We discussed the theoretical implications of our findings and practical applications related to this emerging technology.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 391-408"},"PeriodicalIF":3.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-28DOI: 10.1016/j.trf.2025.03.017
Maria Keil , Vera Hagemann , Christoph Glock
There is a worldwide shortage of truck drivers, and the situation will likely worsen in the coming years. Truck driver health and safety must be improved to counteract this shortage, as this could increase driver availability. A structured literature review was first conducted to identify individual and psychological factors in various vehicle-related application areas that influence drivers’ performance, health, and safety. It encompassed aspects such as the prevailing chronotype, stress levels, and the associated psychological factors of attention and concentration performance. Then, a complementary field study involving professional truck drivers was conducted to measure both physiological and psychological indicators during their daily routines. It found differences in both attentional performance and perceived stress that varied by the type of shift. The further inclusion of truck drivers’ chronotypes showed that these individual differences impact attention and concentration performance, which influence stress. These results enable personnel management or distribution planners to account for individual factors when preparing truck drivers’ work schedules. Shift and route plans considering individual factors could improve truck drivers’ health and safety, positively influencing their availability.
{"title":"Promoting healthy and safe driving: Physiological and psychological evaluation of truck drivers for individualized shift and route planning","authors":"Maria Keil , Vera Hagemann , Christoph Glock","doi":"10.1016/j.trf.2025.03.017","DOIUrl":"10.1016/j.trf.2025.03.017","url":null,"abstract":"<div><div>There is a worldwide shortage of truck drivers, and the situation will likely worsen in the coming years. Truck driver health and safety must be improved to counteract this shortage, as this could increase driver availability. A structured literature review was first conducted to identify individual and psychological factors in various vehicle-related application areas that influence drivers’ performance, health, and safety. It encompassed aspects such as the prevailing chronotype, stress levels, and the associated psychological factors of attention and concentration performance. Then, a complementary field study involving professional truck drivers was conducted to measure both physiological and psychological indicators during their daily routines. It found differences in both attentional performance and perceived stress that varied by the type of shift. The further inclusion of truck drivers’ chronotypes showed that these individual differences impact attention and concentration performance, which influence stress. These results enable personnel management or distribution planners to account for individual factors when preparing truck drivers’ work schedules. Shift and route plans considering individual factors could improve truck drivers’ health and safety, positively influencing their availability.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 409-434"},"PeriodicalIF":3.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-27DOI: 10.1016/j.trf.2025.03.012
Aiman Hasan Khan, Zahratu Shabrina
London’s canals serve as blue corridors connecting people, creating inclusive recreation spaces, and improving health and well-being. The Regent’s Canal towpath, located in Islington and owned by the Canal and River Trust (CRT), is one of the busiest towpaths in the UK, offering East London residents a quick route into the city. Nevertheless, cyclists and pedestrians who regularly use the towpath for commuting have expressed concerns over its capacity to support rush hour traffic. This study utilises the Capability, Opportunity, and Motivation Behaviour change (COM-B) model to assess the impact of urban interventions in reducing conflict on the towpath and increasing uptake of the newly developed St. Peter’s People-Friendly Streets (PFS), a form of Low Traffic Neighbourhood (LTN) effort by the local council. Employing a mixed methods approach, this paper triangulated data collected through online surveys, AI traffic monitoring sensors, and semi-structured interviews to create a concrete picture of cyclists’ behaviour change. Based on the study, we obtained findings that are twofold: (1) the interventions improved cyclists’ awareness of and physical access to the alternative route, although route information signage at the intervention site could have further optimised physical access; (2) cyclists were motivated to switch to the alternative route due to its potential to reduce towpath conflict, shorten commuting time, and offer better cycle infrastructure. However, safety considerations, routine towpath use, and the desire to maintain the natural connection provided by the towpath acted as barriers. Further, we found that combining ’hard’ and ’soft’ strategies is essential in driving behavioural change, as interventions targeted at the built environment should be balanced with communication strategies to improve awareness of new transport programmes and policies. Using a real-world case study, this paper offers actionable guidance for decision-makers to design and implement interventions that shift transport behaviours effectively.
{"title":"Assessing the impact of urban interventions on cyclists’ behavioural change: The case of the Regent’s Canal towpath in London","authors":"Aiman Hasan Khan, Zahratu Shabrina","doi":"10.1016/j.trf.2025.03.012","DOIUrl":"10.1016/j.trf.2025.03.012","url":null,"abstract":"<div><div>London’s canals serve as blue corridors connecting people, creating inclusive recreation spaces, and improving health and well-being. The Regent’s Canal towpath, located in Islington and owned by the Canal and River Trust (CRT), is one of the busiest towpaths in the UK, offering East London residents a quick route into the city. Nevertheless, cyclists and pedestrians who regularly use the towpath for commuting have expressed concerns over its capacity to support rush hour traffic. This study utilises the Capability, Opportunity, and Motivation Behaviour change (COM-B) model to assess the impact of urban interventions in reducing conflict on the towpath and increasing uptake of the newly developed St. Peter’s People-Friendly Streets (PFS), a form of Low Traffic Neighbourhood (LTN) effort by the local council. Employing a mixed methods approach, this paper triangulated data collected through online surveys, AI traffic monitoring sensors, and semi-structured interviews to create a concrete picture of cyclists’ behaviour change. Based on the study, we obtained findings that are twofold: (1) the interventions improved cyclists’ awareness of and physical access to the alternative route, although route information signage at the intervention site could have further optimised physical access; (2) cyclists were motivated to switch to the alternative route due to its potential to reduce towpath conflict, shorten commuting time, and offer better cycle infrastructure. However, safety considerations, routine towpath use, and the desire to maintain the natural connection provided by the towpath acted as barriers. Further, we found that combining ’hard’ and ’soft’ strategies is essential in driving behavioural change, as interventions targeted at the built environment should be balanced with communication strategies to improve awareness of new transport programmes and policies. Using a real-world case study, this paper offers actionable guidance for decision-makers to design and implement interventions that shift transport behaviours effectively.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 373-390"},"PeriodicalIF":3.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Research highlights the multifaced nature of safe driving behaviors referring to individual factors, driving environment interaction, and social norms. This work focuses on a further factor: drivers’ interpretation of the context of driving. Aligned to the Semiotic Dimensional Model (SDM) highlighting the role of context interpretation in channeling behaviors, we tested the hypothesis that the lack of contextual information (uncertainty) induces drivers to an affective context interpretation, which decreases the quality of driving behavior. To this end, we designed a simulation paradigm to compare the quality of driving of participants exposed to a condition of lack of contextual information (N = 25) with a control group exposed to a condition of availability of contextual information (N = 25). Both conditions were induced through a prime. Standard deviations of telemetric data were gathered and subjected to Exploratory Factor Analysis to obtain an index of driving quality. An ANCOVA tested the hypothesis, controlling the effect of vehicle velocity and workload. Consistently with the hypothesis, results demonstrated that the experimental group (No Contextual Information condition) showed lower quality in driving than the control group. Findings shed light on the importance of contextual information in regulating driving behavior, suggesting possible new strategies to promote drivers’ competence in driving.
{"title":"Quality in driving as a function of the interpretation of the context of action","authors":"Alessandro Gennaro , Fabiana Sasso , Skaiste Kerušauskaitė , Matteo Reho , Marco Petrelli , Giuseppe Cantisani , Simone Sportiello , Sergio Salvatore","doi":"10.1016/j.trf.2025.03.018","DOIUrl":"10.1016/j.trf.2025.03.018","url":null,"abstract":"<div><div>Research highlights the multifaced nature of safe driving behaviors referring to individual factors, driving environment interaction, and social norms. This work focuses on a further factor: drivers’ interpretation of the context of driving. Aligned to the Semiotic Dimensional Model (SDM) highlighting the role of context interpretation in channeling behaviors, we tested the hypothesis that the lack of contextual information (uncertainty) induces drivers to an affective context interpretation, which decreases the quality of driving behavior. To this end, we designed a simulation paradigm to compare the quality of driving of participants exposed to a condition of lack of contextual information (N = 25) with a control group exposed to a condition of availability of contextual information (N = 25). Both conditions were induced through a prime. Standard deviations of telemetric data were gathered and subjected to Exploratory Factor Analysis to obtain an index of driving quality. An ANCOVA tested the hypothesis, controlling the effect of vehicle velocity and workload. Consistently with the hypothesis, results demonstrated that the experimental group (No Contextual Information condition) showed lower quality in driving than the control group. Findings shed light on the importance of contextual information in regulating driving behavior, suggesting possible new strategies to promote drivers’ competence in driving.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"112 ","pages":"Pages 1-14"},"PeriodicalIF":3.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-26DOI: 10.1016/j.trf.2025.03.019
Zihan Yang , Chao Zeng , Song Wang , Sjaan Koppel
Driver Distraction Behaviour (DDB) contributes significantly to motor vehicle crashes, psychological factors playing a crucial role in its occurrence. This study aimed to examine the impact of Obsessive–Compulsive Symptoms (OCS), mindfulness, and driving-related anxiety on DDB, as well as the roles of Perceived Safety (PS), Perceived Risk (PR), and Perceived Behavioural Control (PBC). A total of 539 participants (53.6 % female; mean age = 39.6 years, SD = 8.5, range = 21–66 years) completed an online survey assessing self-reported DDB and the six aforementioned factors. Structural Equation Modelling (SEM) was used to examine the relationships among psychological factors, while one-way ANOVAs assessed the effects of individual characteristics on psychological variables. As expected, the SEM results revealed significant positive correlations between OCS, driving-related anxiety, PS, PBC, and DDB, while mindfulness showed a significant negative correlation with DDB. PR had no significant association with DDB. These findings suggest that mindfulness practices may help reduce DDB, whereas anxiety may exacerbate it. OCS, a prevalent negative psychological symptom, may impair mindfulness and, in turn, increase DDB. One-way ANOVA results showed that gender, age, education level, and driving characteristics (i.e., driving age, driving frequency, and annual mileage) significantly influenced some latent variables. With the fast pace of modern life, more individuals engage in non-driving-related tasks while driving. Therefore, further research is needed to explore how mindfulness interventions and strategies to alleviate OCS and anxiety can mitigate DDB and reduce traffic risks. Additionally, traffic safety agencies should implement targeted education programs to address drivers’ overestimation of their control over DDB, reinforce awareness of its risks, and ultimately decrease its prevalence.
{"title":"Why do ‘so’ much behind the wheel? How obsessive-compulsive symptoms, mindfulness, and anxiety influence distracted driving behaviours","authors":"Zihan Yang , Chao Zeng , Song Wang , Sjaan Koppel","doi":"10.1016/j.trf.2025.03.019","DOIUrl":"10.1016/j.trf.2025.03.019","url":null,"abstract":"<div><div>Driver Distraction Behaviour (DDB) contributes significantly to motor vehicle crashes, psychological factors playing a crucial role in its occurrence. This study aimed to examine the impact of Obsessive–Compulsive Symptoms (OCS), mindfulness, and driving-related anxiety on DDB, as well as the roles of Perceived Safety (PS), Perceived Risk (PR), and Perceived Behavioural Control (PBC). A total of 539 participants (53.6 % female; mean age = 39.6 years, SD = 8.5, range = 21–66 years) completed an online survey assessing self-reported DDB and the six aforementioned factors. Structural Equation Modelling (SEM) was used to examine the relationships among psychological factors, while one-way ANOVAs assessed the effects of individual characteristics on psychological variables. As expected, the SEM results revealed significant<!--> <!-->positive correlations between OCS, driving-related anxiety, PS, PBC, and DDB, while mindfulness showed a significant negative correlation with DDB. PR had no significant association with DDB. These findings suggest that mindfulness practices may help reduce DDB, whereas anxiety may exacerbate it. OCS, a prevalent negative psychological symptom, may impair mindfulness and, in turn, increase DDB. One-way ANOVA results showed that gender, age, education level, and driving characteristics (i.e., driving age, driving frequency, and annual mileage) significantly influenced some latent variables. With the fast pace of modern life, more individuals engage in non-driving-related tasks while driving. Therefore, further research is needed to explore how mindfulness interventions and strategies to alleviate OCS and anxiety can mitigate DDB and reduce traffic risks. Additionally, traffic safety agencies should implement targeted education programs to address drivers’ overestimation of their control over DDB, reinforce awareness of its risks, and ultimately decrease its prevalence.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"111 ","pages":"Pages 354-372"},"PeriodicalIF":3.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}