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Safety evaluation and prediction of overtaking behaviors in heterogeneous traffic considering dynamic trust and automated driving styles
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.020
Jie Pan, Jing Shi
Automated vehicles (AVs) face a critical need to evaluate and predict the risk of various driving maneuvers, especially in complex driving scenarios such as overtaking human-driven vehicles (HDVs). However, overtaking safety performance evaluation and prediction rarely take into account dynamic trust and AV driving styles. Moreover, the adequacy of the time window length for data collection prior to overtaking, critical for risk prediction, remains insufficiently explored. This study aims to evaluate overtaking safety performance on two-lane highways considering drivers’ dynamic trust and different AV driving styles, and predict overtaking risk focusing on the impact of different time window lengths. 47 participants were tasked with a simulated overtaking experiment involving both impeding and opposite automated vehicles (IAV and OAV) that exhibited either defensive or aggressive driving styles. Dynamic trust and subjective risk were assessed through a questionnaire after each overtaking maneuver, and objective risk was evaluated using time-to-collision-threshold Driving Risk Field method. Results show that the driving styles of IAV and OAV significantly impacted dynamic trust, objective risk and subjective risk. As dynamic trust in AVs increases, subjective risk decreases but an apparent rise in objective risk is noted, highlighting the importance of controlling over-trust. Results also illustrate that an aggressive IAV leads to a reduction of both following distance to the IAV and lateral distance to the roadside. Additionally, the time window length significantly influenced the prediction performance and a 1.5-second window was found to be optimal using the Light Gradient Boosting Machine model, achieving an accuracy of 92.3% and an F1-score of 0.905. By incorporating this insight, AVs can better anticipate and respond to the intentions of human drivers, leading to safer interactions on the road.
{"title":"Safety evaluation and prediction of overtaking behaviors in heterogeneous traffic considering dynamic trust and automated driving styles","authors":"Jie Pan,&nbsp;Jing Shi","doi":"10.1016/j.trf.2024.12.020","DOIUrl":"10.1016/j.trf.2024.12.020","url":null,"abstract":"<div><div>Automated vehicles (AVs) face a critical need to evaluate and predict the risk of various driving maneuvers, especially in complex driving scenarios such as overtaking human-driven vehicles (HDVs). However, overtaking safety performance evaluation and prediction rarely take into account dynamic trust and AV driving styles. Moreover, the adequacy of the time window length for data collection prior to overtaking, critical for risk prediction, remains insufficiently explored. This study aims to evaluate overtaking safety performance on two-lane highways considering drivers’ dynamic trust and different AV driving styles, and predict overtaking risk focusing on the impact of different time window lengths. 47 participants were tasked with a simulated overtaking experiment involving both impeding and opposite automated vehicles (IAV and OAV) that exhibited either defensive or aggressive driving styles. Dynamic trust and subjective risk were assessed through a questionnaire after each overtaking maneuver, and objective risk was evaluated using time-to-collision-threshold Driving Risk Field method. Results show that the driving styles of IAV and OAV significantly impacted dynamic trust, objective risk and subjective risk. As dynamic trust in AVs increases, subjective risk decreases but an apparent rise in objective risk is noted, highlighting the importance of controlling over-trust. Results also illustrate that an aggressive IAV leads to a reduction of both following distance to the IAV and lateral distance to the roadside. Additionally, the time window length significantly influenced the prediction performance and a 1.5-second window was found to be optimal using the Light Gradient Boosting Machine model, achieving an accuracy of 92.3% and an F1-score of 0.905. By incorporating this insight, AVs can better anticipate and respond to the intentions of human drivers, leading to safer interactions on the road.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 383-398"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099901","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}
引用次数: 0
An elaboration likelihood model of perceived safety risk in ride-sharing continuance: Platform quality cues as antecedents and gender as moderator
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.025
Yu Wang, Jianlin Wu, Jibao Gu, Fan Wang
Understanding the platform-related factors affecting consumers’ perceived safety risk to maintain their continuance intention is crucial for the survival and growth of ride-sharing platforms and for promoting ride-sharing. Drawing on the elaboration likelihood model, this study develops a theoretical framework to examine how platform quality cues influence perceived safety risk and continuance intention. In this, platform service quality (PSQ) and platform information quality (PIQ) are identified as central cues, while platform system quality (PSysQ) and platform reputation (PR) are considered peripheral cues. Additionally, the study explores gender’s moderating role in the relationships between platform quality cues and perceived safety risk, as well as the relationship between perceived safety risk and continuance intention. Using data from an online survey of users of China’s ride-sharing platforms, our results show that PSQ, PIQ, PSysQ, and PR significantly reduce perceived safety risk. We also find that females rely more on the central cue of PSQ, whereas males emphasize the peripheral cues of PSysQ and PR when assessing safety risk. Further, the perceived safety risk is proven to have a stronger impact on continuance intention for females than for males. The study contributes to a better understanding of how platform quality cues as key contextual cues affect perceived safety risk and the boundary condition of the effects. Managerial suggestions for ride-sharing platforms are also discussed.
{"title":"An elaboration likelihood model of perceived safety risk in ride-sharing continuance: Platform quality cues as antecedents and gender as moderator","authors":"Yu Wang,&nbsp;Jianlin Wu,&nbsp;Jibao Gu,&nbsp;Fan Wang","doi":"10.1016/j.trf.2024.12.025","DOIUrl":"10.1016/j.trf.2024.12.025","url":null,"abstract":"<div><div>Understanding the platform-related factors affecting consumers’ perceived safety risk to maintain their continuance intention is crucial for the survival and growth of ride-sharing platforms and for promoting ride-sharing. Drawing on the elaboration likelihood model, this study develops a theoretical framework to examine how platform quality cues influence perceived safety risk and continuance intention. In this, platform service quality (PSQ) and platform information quality (PIQ) are identified as central cues, while platform system quality (PSysQ) and platform reputation (PR) are considered peripheral cues. Additionally, the study explores gender’s moderating role in the relationships between platform quality cues and perceived safety risk, as well as the relationship between perceived safety risk and continuance intention. Using data from an online survey of users of China’s ride-sharing platforms, our results show that PSQ, PIQ, PSysQ, and PR significantly reduce perceived safety risk. We also find that females rely more on the central cue of PSQ, whereas males emphasize the peripheral cues of PSysQ and PR when assessing safety risk. Further, the perceived safety risk is proven to have a stronger impact on continuance intention for females than for males. The study contributes to a better understanding of how platform quality cues as key contextual cues affect perceived safety risk and the boundary condition of the effects. Managerial suggestions for ride-sharing platforms are also discussed.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 367-382"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099902","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}
引用次数: 0
Perceptions toward pedestrians and micromobility devices in off-street cycling facilities and multi-use paths in metropolitan Vancouver, Canada
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.021
Amir Hassanpour, Alexander Bigazzi
As micromobility or personal mobility devices (PMD) expand and evolve for urban transportation, there is increasing concern about the comfort and safety of off-street cycling facilities and multi-use paths. While there is a growing literature on the impacts of electric bicycles and scooters, we lack a comprehensive understanding of the comfort implications of the diverse array of micromobility devices currently in use. In this study we 1) characterize perceptions of comfort for people sharing off-street transportation facilities with pedestrians and 24 types of PMD, 2) examine how perceptions of comfort are affected by the perceiver, device, and contextual variables, and 3) investigate the disparity between actual and perceived micromobility mode shares and speeds. We collected data using a quasi-intercept survey of path users at 12 locations in metropolitan Vancouver, Canada, which were matched with location-specific volumes and speeds classified by PMD type. Results indicate that, despite an overestimation of the prevalence and speed of new forms of PMD, people are predominantly comfortable sharing with most devices except sit-down electric (moped-style) scooters. Pedestrians are less comfortable sharing with electric devices than are people using other PMDs. Model results show that motorized PMD would have to go 9 km/hr slower than the equivalent non-motorized device to have the same impact on comfort. Recommendations include modernizing PMD regulations, working to eliminate the use of sit-down electric scooters on off-street facilities, lowering thresholds for separating pedestrians on multi-use paths, and continued monitoring of speed and comfort impacts from evolving PMD.
{"title":"Perceptions toward pedestrians and micromobility devices in off-street cycling facilities and multi-use paths in metropolitan Vancouver, Canada","authors":"Amir Hassanpour,&nbsp;Alexander Bigazzi","doi":"10.1016/j.trf.2025.01.021","DOIUrl":"10.1016/j.trf.2025.01.021","url":null,"abstract":"<div><div>As micromobility or personal mobility devices (PMD) expand and evolve for urban transportation, there is increasing concern about the comfort and safety of off-street cycling facilities and multi-use paths. While there is a growing literature on the impacts of electric bicycles and scooters, we lack a comprehensive understanding of the comfort implications of the diverse array of micromobility devices currently in use. In this study we 1) characterize perceptions of comfort for people sharing off-street transportation facilities with pedestrians and 24 types of PMD, 2) examine how perceptions of comfort are affected by the perceiver, device, and contextual variables, and 3) investigate the disparity between actual and perceived micromobility mode shares and speeds. We collected data using a quasi-intercept survey of path users at 12 locations in metropolitan Vancouver, Canada, which were matched with location-specific volumes and speeds classified by PMD type. Results indicate that, despite an<!--> <!-->overestimation of the prevalence and speed of new forms of PMD, people are predominantly comfortable sharing with most devices except sit-down electric (moped-style) scooters. Pedestrians are less comfortable sharing with electric devices than are people using other PMDs. Model results show that motorized PMD would have to go 9 km/hr slower than the equivalent non-motorized device to have the same impact on comfort. Recommendations include modernizing PMD regulations, working to eliminate the use of sit-down electric scooters on off-street facilities, lowering thresholds for separating pedestrians on multi-use paths, and continued monitoring of speed and comfort impacts from evolving PMD.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 951-964"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099911","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}
引用次数: 0
Stepwise technology adoption by consumers: Example of autonomous driving technology
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.006
Sohyun Kim, Jong-Youn Rha
With rapid technological advancement, consumers are confronted with choices when deciding whether to adopt one technological level over another. Previous research on technology acceptance has often overlooked the critical role of “prior experience” in navigating the uncertainties associated with technology adoption. Hence, this study aimed to quantitatively validate consumers’ stepwise technology adoption—an adoption pattern for advancing technologies. Autonomous driving technology (ADT), categorized as Levels 2 and 3, was selected for this investigation. We developed a model drawing on Stimulus-Organism-Response theory to examine how consumers’ current experiences with Level 2 ADT influence their acceptance of not-yet-experienced Level 3 ADT. We conducted an online survey targeting consumers with more than one year of experience using Level 2 ADT, with an analytical sample of 635 participants. Analyses were performed using R version 4.3.1, including descriptive statistics, exploratory and confirmatory factor analyses, structural equation modeling, multigroup analysis, and t-tests. The findings demonstrate that consumers’ experiences with Level 2 ADT significantly shape their expectations of Level 3 ADT and their intentions to adopt Level 3 ADT. The results show that as consumer engagement with Level 2 ADT intensifies, the paths forming expectations for Level 3 ADT are reinforced. This study validates the stepwise technology adoption phenomenon, thus expanding the literature on technology acceptance and suggesting practical implications and strategies to facilitate the adoption of an emerging technology level. Additionally, it has implications for consumer studies by emphasizing consumers’ current technological experiences from which their utility is derived.
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引用次数: 0
Towards recognizing cognitive distraction levels with low-cost and high-sensitive measures: The effectiveness of sample, approximate, and traditional steering entropies
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.036
Naixin Chang , Chunjiao Dong , Shufen Zhu , Penghui Li , Xiaomeng Li , Lihong Xia , Xuedong Yan
Driver distraction is one of the main factors leading to traffic accidents. Due to a lack of sensitive and accessible measures, the detection of cognitive distraction levels remains challenging and resource-intensive. Based on the idea that cognitive distraction causes unpredictable steering wheel operation, we introduced approximate entropy and sample entropy to quantify the unpredictability of drivers’ steering behavior during lane keeping. In this way, two novel steering measures, i.e., approximate steering entropy (ApproSE) and sample steering entropy (SampleSE), were proposed. To explore the effectiveness of the proposed measures, a driving simulator study with 35 participants was conducted, where four levels of cognitively demanding tasks induced by verbal recall of digits were involved. The effects of cognitive distraction level on various driving performance measures along with the two proposed measures were investigated, including the standard deviation of lateral position (SDLP), steering wheel reversal rate of 0.5° (SRR0.5°), the traditional steering entropy (TradSE), etc. Subsequently, the sensitivities of the three steering entropies (i.e., ApproSE, SampleSE, TradSE) changing with increased cognitive distraction levels were compared using statistical significance, effect size, and true positive rate. Moreover, various intervals for steering wheel angle sampling while calculating entropies were compared. The results showed that cognitive distraction led to increased ApproSE and SampleSE, as well as increased TradSE, SRR0.5°and decreased SDLP significantly. Particularly, ApproSE and SampleSE were observed with higher effect size than the other driving performance measures, which suggests that ApproSE and SampleSE are more sensitive to changes in cognitive distraction level. Among the three steering entropy measures, ApproSE and SampleSE were observed with higher robustness in various sample intervals, and higher consistency across the population than TradSE. The most suggested interval for steering wheel angle sampling while calculating ApproSE and SampleSE was 200 ms. The proposed novel steering entropies along with the other existing driving performance measures could be used to develop low-cost and highly sensitive driver cognitive distraction monitoring systems in intelligent vehicles.
{"title":"Towards recognizing cognitive distraction levels with low-cost and high-sensitive measures: The effectiveness of sample, approximate, and traditional steering entropies","authors":"Naixin Chang ,&nbsp;Chunjiao Dong ,&nbsp;Shufen Zhu ,&nbsp;Penghui Li ,&nbsp;Xiaomeng Li ,&nbsp;Lihong Xia ,&nbsp;Xuedong Yan","doi":"10.1016/j.trf.2024.12.036","DOIUrl":"10.1016/j.trf.2024.12.036","url":null,"abstract":"<div><div>Driver distraction is one of the main factors leading to traffic accidents. Due to a lack of sensitive and accessible measures, the detection of cognitive distraction levels remains challenging and resource-intensive. Based on the idea that cognitive distraction causes unpredictable steering wheel operation, we introduced approximate entropy and sample entropy to quantify the unpredictability of drivers’ steering behavior during lane keeping. In this way, two novel steering measures, i.e., approximate steering entropy (ApproSE) and sample steering entropy (SampleSE), were proposed. To explore the effectiveness of the proposed measures, a driving simulator study with 35 participants was conducted, where four levels of cognitively demanding tasks induced by verbal recall of digits were involved. The effects of cognitive distraction level on various driving performance measures along with the two proposed measures were investigated, including the standard deviation of lateral position (SDLP), steering wheel reversal rate of 0.5° (SRR0.5°), the traditional steering entropy (TradSE), etc. Subsequently, the sensitivities of the three steering entropies (i.e., ApproSE, SampleSE, TradSE) changing with increased cognitive distraction levels were compared using statistical significance, effect size, and true positive rate. Moreover, various intervals for steering wheel angle sampling while calculating entropies were compared. The results showed that cognitive distraction led to increased ApproSE and SampleSE, as well as increased TradSE, SRR0.5°and decreased SDLP significantly. Particularly, ApproSE and SampleSE were observed with higher effect size than the other driving performance measures, which suggests that ApproSE and SampleSE are more sensitive to changes in cognitive distraction level. Among the three steering entropy measures, ApproSE and SampleSE were observed with higher robustness in various sample intervals, and higher consistency across the population than TradSE. The most suggested interval for steering wheel angle sampling while calculating ApproSE and SampleSE was 200 ms. The proposed novel steering entropies along with the other existing driving performance measures could be used to develop low-cost and highly sensitive driver cognitive distraction monitoring systems in intelligent vehicles.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1063-1079"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099988","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}
引用次数: 0
A qualitative exploration of the management of impaired driving in medicinal cannabis patients
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.017
T. Mieran, J. Davey, B. Rowland
This study aimed to identify the strategies that medicinal cannabis patients employ to manage the risk of impaired driving, and the aetiological factors that influence the use of these strategies. A sample of medicinal cannabis patients (N = 58) from Queensland, Australia, participated in qualitative interviews. Thematic analysis revealed that medicinal cannabis patients employ a variety of strategies to mitigate impaired driving risk, despite commonly reporting driving after the recent use of cannabis. These strategies included the subjective assessment of impairment, waiting a specific post-consumption time-period, regulating cannabis consumption and driving behaviour, and adjusting on-road driving behaviour. Perceptions of safety, deterrence mechanisms, knowledge, and the perceived right and need to drive all influenced the extent and type of risk management undertaken. The implications of these findings for policy, enforcement, and future research surrounding medicinal cannabis and driving are discussed.
{"title":"A qualitative exploration of the management of impaired driving in medicinal cannabis patients","authors":"T. Mieran,&nbsp;J. Davey,&nbsp;B. Rowland","doi":"10.1016/j.trf.2024.12.017","DOIUrl":"10.1016/j.trf.2024.12.017","url":null,"abstract":"<div><div>This study aimed to identify the strategies that medicinal cannabis patients employ to manage the risk of impaired driving, and the aetiological factors that influence the use of these strategies. A sample of medicinal cannabis patients (<em>N</em> = 58) from Queensland, Australia, participated in qualitative interviews. Thematic analysis revealed that medicinal cannabis patients employ a variety of strategies to mitigate impaired driving risk, despite commonly reporting driving after the recent use of cannabis. These strategies included the subjective assessment of impairment, waiting a specific post-consumption time-period, regulating cannabis consumption and driving behaviour, and adjusting on-road driving behaviour. Perceptions of safety, deterrence mechanisms, knowledge, and the perceived right and need to drive all influenced the extent and type of risk management undertaken. The implications of these findings for policy, enforcement, and future research surrounding medicinal cannabis and driving are discussed.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 354-366"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156883","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}
引用次数: 0
Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.016
Shirley S. Ho, Tong Jee Goh
Developments of artificial intelligence for autonomous vehicles promise better commuting experiences. However, current limitations of artificial intelligence signal some risks associated with autonomous vehicle use. Based on the trajectory of artificial intelligence development, technology developers and the public would develop mental models of risks and benefits of artificial intelligence in autonomous vehicles. Mapping drivers’, non-drivers’, and technology developers’ mental models, this study found two broad themes: technological attributes and implications of autonomous vehicle use. Specifically, there are environmental, economic, personal, and societal dimensions of implications. Benefits associated with prospective introductions of autonomous vehicle-enabled transport services is a key similarity among all mental models. Notable differences occur between the technological and societal dimensions of mental models of risks. The results are based on seven focus group discussions with drivers, non-drivers, and technology developers in Singapore.
{"title":"Explicating multiple dimensions of public’s and technology developers’ mental models of risks and benefits of artificial intelligence in autonomous vehicles in Singapore","authors":"Shirley S. Ho,&nbsp;Tong Jee Goh","doi":"10.1016/j.trf.2025.01.016","DOIUrl":"10.1016/j.trf.2025.01.016","url":null,"abstract":"<div><div>Developments of artificial intelligence for autonomous vehicles promise better commuting experiences. However, current limitations of artificial intelligence signal some risks associated with autonomous vehicle use. Based on the trajectory of artificial intelligence development, technology developers and the public would develop mental models of risks and benefits of artificial intelligence in autonomous vehicles. Mapping drivers’, non-drivers’, and technology developers’ mental models, this study found two broad themes: <em>technological attributes</em> and <em>implications of autonomous vehicle use</em>. Specifically, there are <em>environmental</em>, <em>economic</em>, <em>personal</em>, and <em>societal</em> dimensions of implications. Benefits associated with prospective introductions of autonomous vehicle-enabled transport services is a key similarity among all mental models. Notable differences occur between the technological and societal dimensions of mental models of risks. The results are based on seven focus group discussions with drivers, non-drivers, and technology developers in Singapore.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1293-1312"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099551","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}
引用次数: 0
Spare visual capacity and driver inattention in lateral vehicle control
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.043
Abhishek Sarkar, Tuomo Kujala
Drivers often possess spare visual capacity (SVC), which allows them to occasionally shift their gaze from the road for both driving-task related and non-related reasons without significantly compromising safety. This creates the need to quantify SVC from a normative perspective to understand its limits in a context-sensitive manner, which can help in the timely detection of potential driver inattention and the prevention of possible mishaps. We developed a mathematical formula that generates situational estimates of available SVC by considering the relevant environmental, mechanical, and cognitive factors, enabling us to objectively identify driver inattention against a valid reference point during a lateral vehicle control task. A driving simulator study (N = 32) was conducted to implement and evaluate the effectiveness of our methodology and to examine drivers’ visual sampling behavior in a lane-keeping task. We successfully predicted all lane excursions in advance. While the likelihood of inattention towards lane position during occluded driving is small, it exists and increases with speed. The time required to avoid lane excursions varies with speed, side of lane boundary, and individual driver differences. Quantifying situational SVC can aid in detecting driver inattention by providing a more accurate assessment in advance of safety–critical outcomes, thereby reducing false positives. Our approach offers potential for developing improved safety standards and designing proactive adaptive systems to monitor driver inattention based on contextual and driver-specific factors.
{"title":"Spare visual capacity and driver inattention in lateral vehicle control","authors":"Abhishek Sarkar,&nbsp;Tuomo Kujala","doi":"10.1016/j.trf.2025.01.043","DOIUrl":"10.1016/j.trf.2025.01.043","url":null,"abstract":"<div><div>Drivers often possess spare visual capacity (SVC), which allows them to occasionally shift their gaze from the road for both driving-task related and non-related reasons without significantly compromising safety. This creates the need to quantify SVC from a normative perspective to understand its limits in a context-sensitive manner, which can help in the timely detection of potential driver inattention and the prevention of possible mishaps. We developed a mathematical formula that generates situational estimates of available SVC by considering the relevant environmental, mechanical, and cognitive factors, enabling us to objectively identify driver inattention against a valid reference point during a lateral vehicle control task. A driving simulator study (<em>N</em> = 32) was conducted to implement and evaluate the effectiveness of our methodology and to examine drivers’ visual sampling behavior in a lane-keeping task. We successfully predicted all lane excursions in advance. While the likelihood of inattention towards lane position during occluded driving is small, it exists and increases with speed. The time required to avoid lane excursions varies with speed, side of lane boundary, and individual driver differences. Quantifying situational SVC can aid in detecting driver inattention by providing a more accurate assessment in advance of safety–critical outcomes, thereby reducing false positives. Our approach offers potential for developing improved safety standards and designing proactive adaptive systems to monitor driver inattention based on contextual and driver-specific factors.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1246-1256"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099560","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}
引用次数: 0
Connections can make a difference: Understanding EV owners’ motivations for agreeing to share their HCSs in megacities through a mixed methods approach study
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.007
Li Li , Rui Zhang , Yiming Yuan , Matthew Harris , Hua Cai , Beining Chen , Xinyi Zhang , Jianjun Wang , Ziyang Peng
Understanding the factors that drive home charging station (HCS) owners’ intentions to share is crucial for promoting broader HCS sharing adoption in megacities. This study uses a mixed-methods approach, starting with qualitative in-depth interviews to identify key factors and establish a preliminary hypotheses framework. A quantitative survey, combined with Structural Equation Modeling (SEM), is then employed to test these hypotheses across different sharing groups: neighbors, virtual community members, and strangers. The findings reveal that HCS owners are more likely to hesitate to share with strangers due to concerns about disruptions created by outsiders, which underscores the fact that a connection between HCS owners and users, either in physical or virtual context, can boost sharing intentions. Establishing a connection between HCS owners and the potential users can increase residents’ sense of belonging and enhance their motivation to help (MH), which was found to directly influence HCS owners’ willingness to share with neighbors, while its impact on HCS owners’ sharing intention within virtual communities is indirect, moderated by the necessity to utilize idle resources (NU). Perceived economic benefits (PE) indirectly affect HCS owners’ sharing intention through the mediation of MH, highlighting the complex interplay between altruism and economic motivations. These insights offer actionable recommendations for policymakers aiming to increase HCS sharing rates.
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引用次数: 0
Evaluation of intervention for pedestrian‑vehicle collisions at unsignalized intersections in virtual reality environments: Short- and long-term effects
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.005
Bo Wang , Jian Zhang , Siyuan Liu , Xiaomeng Shi , Yu Qian
Pedestrian-vehicle collisions are common at unsignalized intersections. While governments worldwide have implemented various interventions to reduce pedestrian crashes, the effectiveness of these interventions remains unexplored, particularly for sustainability. The study used a virtual reality technology-based approach to evaluate the short- and long-term effects of interventions on pedestrian-vehicle collisions. The short-term intervention (immediate intervention) effects were evaluated through a multi-factor index system. Furthermore, one repeated-measures ANOVA was performed to examine the link between the short-term intervention effects and compound mode, implementation period, and number of single interventions (N = 60). Moreover, the long-term intervention (lasting for six months) effect was evaluated using two indices: pedestrian-vehicle collision events (PCE) and pedestrian-vehicle collision self-intervention events (PCSE). Additionally, the effects of long-term intervention and their association with factors such as age, gender, and district were examined in the MAMOVA analysis (N = 44). Results showed that combined interventions exhibited better effects compared to single interventions. The implementation periods of interventions could impact the generation of optimal combined interventions. The efficacy of short-term intervention could not be determined by the number of single interventions alone. As the duration of intervention increases, there is a significant decrease in mean PCEs and an increase in mean PCSEs for each gender group. Older participants demonstrated a higher level of caution before crossing intersections compared to younger participants following long-term intervention. Participants closer to the city center were more likely to adopt preventive strategies for preventing pedestrian-vehicle collisions after long-term intervention. The observations from this study provided a basis for long-term developing countermeasures in the China to improve the ability of pedestrians to cross the road safely.
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引用次数: 0
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Transportation Research Part F-Traffic Psychology and Behaviour
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