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Transportation Research Part F-Traffic Psychology and Behaviour最新文献

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Would you like to get on the bus? An eye-tracking study based on the stimulus-organism-response framework
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.014
Lei Li , Feng Gao , Shuai Ling , Zijian Guo , Jian Zuo , Michael Goodsite , Hongming Dong
To encourage people to participate in bus travel, it is important to explore the factors that affect their willingness to ride. Previous studies have rarely considered both subjective and objective factors that affect passenger willingness. We designed a laboratory experiment based on the stimulus-organism-response framework using the waiting scene as the stimulus, perception of crowding (POC) and the emotion and eye-tracking indicators of waiting passengers as the organism, and willingness to ride as the behavioral response. A total of 64 participants were asked to look at 24 pictures of waiting scenes on an eye tracker and to complete a questionnaire. The results show that window permeability, number and distribution of passengers, and queuing mode significantly affect the POC, emotion, and gaze behavior of waiting passengers. The POC, emotion of waiting passengers, and their gaze at the waiting environment significantly affect the willingness to ride. Accordingly, we propose to promote the development of bus travel through measures such as providing more accurate travel information, installing queuing facilities, and modifying the bus card swiping machines. This study not only helps to improve the willingness of people to participate in bus travel, but also contributes to bus travel research and theory.
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引用次数: 0
Comprehensive safety evaluation of Powered Two-Wheeler riding maneuvers in urban mixed traffic with Weak-Lane-Discipline
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.008
Shivasai Samalla, Mallikarjuna Chunchu
Powered Two-wheeler (PTW) safety remains a critical concern in mixed and weak-lane-disciplined traffic prevalent in low- and middle-income countries (LMICs) like India. Despite acknowledging risky riding behavior as a significant contributor to PTW crashes, comprehensive studies evaluating how specific riding behaviors/maneuvers influence PTW safety remain scarce. This study aims to bridge this gap by investigating the safety implications of key PTW rider maneuvers such as following, filtering, overtaking, and weaving using the proactive approach. The study findings reveal that PTW riders perform following and overtaking maneuvers more frequently compared to filtering and weaving maneuvers, regardless of road width and traffic conditions. Following maneuvers carry the lowest crash risk while overtaking maneuvers pose a slightly higher risk than the following maneuvers. Although less frequent, filtering and weaving maneuvers exhibit significantly higher crash risks than the following and overtaking, with weaving maneuvers being the most hazardous. The study highlights that existing car-based collision warning systems may not be effective for PTWs due to their unique dynamic behaviors, emphasizing the need for PTW-specific safety systems. The insights from this study could be vital for evidence-based policy-making toward developing improved rider training programs, effective road safety campaigns that discourage hazardous maneuvers, and robust risk mitigation strategies on urban roads.
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引用次数: 0
Examining psychological factors associated with pedestrians’ technology use while walking and risky street-crossing behavior: Incorporating heterogeneity effect
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.003
Zeinab Karami , Kayvan Aghabayk , Amin Mohammadi , Sina Rejali
The widespread integration of technology into everyday life has made pedestrians increasingly susceptible to engaging with distractions. Consequently, it is important to understand the factors that drive their use of technology while walking and the associated risky street-crossing behaviors. Given that smartphone and smartwatch use are among the most common technology-related activities in pedestrian behavior, this study aimed to investigate the influence of behavioral and psychological factors, including fear of missing out (FoMO), mindfulness, nomophobia, self-identity, and self-control on pedestrian technology use while walking (i.e., smartphone and smartwatch use) and their propensity for risky street-crossing behavior. Data were collected from an online survey of 2221 participants in different cities of Iran. A structural equation model (SEM) was developed to explore these relationships, drawing on insights from previous theoretical frameworks. To account for the effect of heterogeneity, the relationship between constructs was explored among different individual groups using Multiple Indicator Multiple Causes (MIMIC) models and Multi-Group Analysis (MGA). The results revealed that mindfulness, followed by nomophobia and self-identity, were the strongest predictors of technology use while walking. Technology use while walking was more frequent among males, individuals aged between 18 and 24, those with prior crash experience and in the trips after 4 pm. In addition, individual characteristics proved to pose a moderating effect on pedestrian technology use and its predictors. FoMO emerged to be a more significant predictor of males’ personality factors and their risky behaviour, while nomophobia, mindfulness, and self-identity were stronger predictors of females’ personality factors, technology use, and risky behaviour. The findings of this study contribute to increasing knowledge in the field of pedestrian safety and inform the development of targeted interventions aimed at mitigating risky behaviours and promoting safer urban environments.
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引用次数: 0
Secondary task solutions to acute and chronic automation-induced underload
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.033
Dan Boguslavsky , Avinoam Borowsky , Hadas Chassidim , Peter A. Hancock
Partially automated vehicles (PAVs) relieve human drivers from performing certain basic vehicle control tasks. The human driver remains responsible for automated system supervision despite such support systems. Therefore, long drives with partial automation can induce underload conditions, thereby increasing passive fatigue, impairing situational awareness (SA), and reducing response capacity. As a result, engaging in cognitively demanding tasks has been suggested as an underload countermeasure. The present study examined the acute and chronic effects of adding a Trivia-like Supplementary task as a cognitive non-driving-related task (NDRT) on mitigating driver’s underload and induced passive fatigue. Further, it assessed the impact of the Supplementary task engagement on drivers’ trust, attention and hazard perception (HP) during partially automated driving (PAD). Twenty-four participants were randomly assigned to one of two conditions: (1) PAD with the Supplementary task and notifications of upcoming hazards or (2) PAD with notifications of upcoming hazards only. Participants experienced two forty-minute monotonous driving sessions, one week apart. Each driving session included four latent but unmaterialized hazardous scenarios. The mental workload was evaluated via objective and subjective methods, passive fatigue was measured using KSS and HP, and attention was assessed via gaze behavior analysis. Contrary to our initial literature-based assumption that driving under PAD without engaging with a Supplementary task would lead to underload, we found that under simulated driving conditions, this monitoring driving task leads to overload rather than underload. Thus, in contrast to our expectations, including a Supplementary task did not counteract mental underload, but rather it relieved the drivers from the primary monitoring task, leading to a reduction in cognitive workload, especially in chronic circumstances. Additionally, both experimental groups maintained high and similar HP performance. The findings suggest that including a Supplementary task and other human–machine interface (HMI), functionalities can modify drivers’ behavior and attention allocation strategies over time in various ways, stressing the crucial importance of a mindful systems design to ensure driver attentiveness across continued usage.
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引用次数: 0
Behavioural adaptation to prototype level 3 automated driving systems on public roads
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.02.004
Barbara Metz , Johanna Wörle , Susanne Engel
Behavioural adaptation refers to changes in user behaviour following the introduction of changes in the road-vehicle-user system. The introduction of automated driving systems (ADS) triggers changes in drivers’ perception, cognition, attitudes, performance, and the driver state as shown in a previous driving simulator study on repeated usage of an ADS (Metz et al., 2021). The present study aims at overcoming limitations associated with the driving simulator setup and replicates the study design on German public roads using prototype level 3 ADS. Three different versions of a level 3 ADS with different operational design domains (ODD) are compared in a between group design. N = 75 drivers experienced a level 3 ADS during four experimental driving sessions. The drivers were free to activate / deactivate the function as they liked and to spend driving time on self-chosen side tasks. With growing experience, the mental model of the system improves towards more realistic expectations towards system capabilities. At the same time, acceptance and perceived safety increase while stress decreases. Objective indicators of system handling are impacted by the ODD, however there are no changes with repeated usage. The results from the on-road study are compared with the results from the driving simulator and they are discussed with regard to the theory of behavioural adaptation.
{"title":"Behavioural adaptation to prototype level 3 automated driving systems on public roads","authors":"Barbara Metz ,&nbsp;Johanna Wörle ,&nbsp;Susanne Engel","doi":"10.1016/j.trf.2025.02.004","DOIUrl":"10.1016/j.trf.2025.02.004","url":null,"abstract":"<div><div>Behavioural adaptation refers to changes in user behaviour following the introduction of changes in the road-vehicle-user system. The introduction of automated driving systems (ADS) triggers changes in drivers’ perception, cognition, attitudes, performance, and the driver state as shown in a previous driving simulator study on repeated usage of an ADS (<span><span>Metz et al., 2021</span></span>). The present study aims at overcoming limitations associated with the driving simulator setup and replicates the study design on German public roads using prototype level 3 ADS. Three different versions of a level 3 ADS with different operational design domains (ODD) are compared in a between group design. N = 75 drivers experienced a level 3 ADS during four experimental driving sessions. The drivers were free to activate / deactivate the function as they liked and to spend driving time on self-chosen side tasks. With growing experience, the mental model of the system improves towards more realistic expectations towards system capabilities. At the same time, acceptance and perceived safety increase while stress decreases. Objective indicators of system handling are impacted by the ODD, however there are no changes with repeated usage. The results from the on-road study are compared with the results from the driving simulator and they are discussed with regard to the theory of behavioural adaptation.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1507-1522"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376575","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
“That’s a bit of a tight squeeze!”: A thematic analysis of narrow passage driving interactions using the Perceptual Cycle model
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.038
Peter Youssef, Ben Waterson, Katherine L. Plant
The ability to accurately represent driver behaviours in microscopic traffic models and for autonomous vehicles to discern human driving behaviours is reliant on having a deep understanding of the behaviour that is being modelled. In spite of this, the decision-making processes undertaken during narrow passage interactions, a high risk and relatively unregulated situation in which a road narrowing means that two opposing vehicles cannot pass through at the same time, remain under investigated. To rectify this limitation, an on-road “think aloud” study was conducted with participants in the UK and supplemented by a video-cued retrospective interview using a shortened version of the Schema World Action Research Method. 175 decision points were then analysed using Neisser’s Perceptual Cycle Model, which highlights the relationships between the information perceived from the narrow passage environment, a driver’s schema, and the actions taken. It was found that drivers conduct four key assessments, including evaluating their interaction partner’s intention and the suitability of give way gaps on both sides of the road, when deciding what actions to take during a narrow passage interaction. These results provide a clearer understanding of how driver behaviour is influenced by different contextual/situational factors in a safety critical driving situation and helps ensure that future mathematical models better reflect driver decision-making during narrow passage interactions. This, in turn, can be used to ensure that autonomous vehicles are able to safely interact with human drivers at narrow passages and that microscopic traffic models are able to produce more accurate outputs.
{"title":"“That’s a bit of a tight squeeze!”: A thematic analysis of narrow passage driving interactions using the Perceptual Cycle model","authors":"Peter Youssef,&nbsp;Ben Waterson,&nbsp;Katherine L. Plant","doi":"10.1016/j.trf.2025.01.038","DOIUrl":"10.1016/j.trf.2025.01.038","url":null,"abstract":"<div><div>The ability to accurately represent driver behaviours in microscopic traffic models and for autonomous vehicles to discern human driving behaviours is reliant on having a deep understanding of the behaviour that is being modelled. In spite of this, the decision-making processes undertaken during narrow passage interactions, a high risk and relatively unregulated situation in which a road narrowing means that two opposing vehicles cannot pass through at the same time, remain under investigated. To rectify this limitation, an on-road “think aloud” study was conducted with participants in the UK and supplemented by a video-cued retrospective interview using a shortened version of the Schema World Action Research Method. 175 decision points were then analysed using Neisser’s Perceptual Cycle Model, which highlights the relationships between the information perceived from the narrow passage environment, a driver’s schema, and the actions taken. It was found that drivers conduct four key assessments, including evaluating their interaction partner’s intention and the suitability of give way gaps on both sides of the road, when deciding what actions to take during a narrow passage interaction. These results provide a clearer understanding of how driver behaviour is influenced by different contextual/situational factors in a safety critical driving situation and helps ensure that future mathematical models better reflect driver decision-making during narrow passage interactions. This, in turn, can be used to ensure that autonomous vehicles are able to safely interact with human drivers at narrow passages and that microscopic traffic models are able to produce more accurate outputs.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1383-1401"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143206121","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
What’s your type? A taxonomy of pedestrian route choice behaviour in cities
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.012
Marcin Wozniak , Gabriele Filomena , Adam Wronkowski
Pedestrian route choice behaviour has captivated academic inquiry for over a century. Its study has shaped urban planning and influenced the design of more sustainable urban spaces and the discourse on just cities. While existing research has primarily examined the influence of configurational factors or urban elements on pedestrian movement, their interplay remains poorly understood. This paper addresses this gap by examining how the configurational properties of the street network and the distribution of urban elements shape pedestrian route choice behaviour. Walking tasks and in-depth interviews were conducted in Poznań (Poland) with 18 participants. The 36 routes and their attributes were tracked using GPS devices, while the interviews provided insights into the participants’ decision-making processes and preferences. The analysis resulted in the definition of a taxonomy of pedestrian types based on their route choice behaviour. These types encompass various preferences and strategies, including prioritising comfort, rational decisions, spontaneity, reliance on landmarks, and environmental cues. Moreover, the analysis revealed variations in route's geometry, length, and predictability across the five types. Overall, our findings emphasise the multifaceted nature of pedestrian behaviour as influenced by a combination of “objective” environmental factors, subjective perceptions, and emergent dynamic factors. Elements like weather, crowds, traffic, noise, seasonality, and time of day emerged as additional but significant determinants of decisions. Finally, while green areas and landmarks did impact route choice behaviour, other more nuanced elements - such as paving patterns, storefronts, or prior experiences and memories - also played a role in shaping the participants’ routes, adding further uncertainty around pedestrian behavioural patterns.
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引用次数: 0
Self-determined motivation and driving styles as dependent on the perception of traffic climate by Turkish and Israeli drivers
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2025.01.034
Bilgesu Kaçan-Bibican , Türker Özkan , Orit Taubman – Ben-Ari
The human factor is a prominent cause of traffic accidents. The formation of an individual’s driving style has been found to be influenced by a variety of variables. In this study, the goal is to examine the moderating effects of the country (Israel and Türkiye) and the traffic climate on the relationship between the motivation for safe driving and driving styles. A Background Information Form, a Safe Driving Self-Regulation Questionnaire (SD-SRQ), the Traffic Climate Scale (TCS), and the Multidimensional Driving Style Inventory (MDSI) were used as instruments; data was collected from 471 Israeli and 400 Turkish participants. The contribution of the interaction between the motivation for safe driving and the traffic culture/climate in Israel and Türkiye on driving styles was examined by a moderated moderation analysis. The analysis showed that the two countries are differently impacted by traffic climate and safe driving motivation. The study’s key finding is that while emotionally demanding traffic and autonomous forms of motivation and amotivation have an impact on the patient-careful driving style in Türkiye, traffic climate which is emotionally demanding and requires abilities and skills, together with controlled forms of motivation and amotivation have an impact on dissociative and anxious driving styles in Israel. Suggestions for further research as well as potential practical implications are discussed.
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引用次数: 0
Steering decisions: Exploring the impact of perceived value and perceived risk on consumer intentions for adopting driverless cars in China
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.009
Weiwei Zhu, Yingwen Jiao
For the sustainable evolution and cutting-edge advancements in driverless cars, a profound comprehension of consumer acceptance is paramount for both automotive manufacturers and policymakers. The comprehensive study delves deeply into the underlying factors influencing consumers' behavioral intentions towards driverless cars emphasizing perceived value and perceived risk. These two constructs are both conceptualized as formative second-order structures, encompassing the basic components of perceived value and perceived risk. The empirical findings reveal a positive correlation between perceived value and consumers' behavioral intention to use driverless cars, whereas perceived risk exhibits a negative correlation. Furthermore, the study validates that travel experience positively moderates the impact of perceived value on behavioral intention. To foster the adoption of driverless cars, measures should be taken to enhance consumers' perception of value and mitigate potential risks associated with their usage.
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引用次数: 0
Does information provision always enable drivers to make better decisions?–A study on decision-making dilemmas at uncontrolled intersections
IF 3.5 2区 工程技术 Q1 PSYCHOLOGY, APPLIED Pub Date : 2025-02-01 DOI: 10.1016/j.trf.2024.12.018
Miaomiao Yang, Qiong Bao, Yongjun Shen, Qikai Qu, Rui Zhang, Tianyuan Han, Huansong Zhang
The safety implications of two vehicles encountering at uncontrolled intersections remain a significant concern. Despite the availability of connected information, drivers might still face decision-making dilemmas that pose potential risks to traffic safety. To explore the impact of connected information in such interactive dilemmas on driving decisions and traffic operation, a video-based preemptive/yielding (P/Y) decision-making experiment involving 62 straight-going (SG) and 62 left-turning (LT) drivers was conducted under connected information provision. Recognizing the potential adverse effects on operational efficiency if both drivers choose to yield and the threat to traffic safety in scenarios where both opt for preemptive actions, the joint decisions made by SG and LT drivers were treated as response outcomes. Three interactive dilemmas conditions, the provision of turning information, and individual characteristics attributes were considered as explanatory variables. By developing a random regret minimization mixed multinomial logit model, this study examined the effects of connected information on joint decisions and their subsequent influence on potential traffic safety and operational efficiency. The findings indicate that (1) different dilemma conditions significantly influence joint decisions. The high probability of Y-Y and P-P joint decisions suggests that even with the availability of connected information, better driving decisions may not always be achieved. Notably, providing connected information in dilemma condition (2) (where the SG vehicle had a smaller speed but a closer distance to the intersection than the LT vehicle) increases the likelihood of heterogeneous Y-P joint decisions, thus benefiting overall traffic operations. (2) Turning information generally contributes to traffic operations by increasing Y-P joint decisions, yet it also exacerbates potentially hazardous interactions, marked by an increase in both sides choosing preemptive behaviors (P-P joint decisions). This emphasizes the need for traffic authorities to regulate left-turning vehicles’ turn signal usage. (3) Heterogeneous individual characteristics tend to lead to diverse joint decisions, particularly concerning penalty record, accident history, and driving skill. Surprisingly, the heterogeneity of education, income, and driving experience presents a higher probability of homogeneous joint decisions. Overall, this study contributes significantly to understanding the determinants influencing interactive driving decision-making under connected information provision, aiming to the advancement of more efficient and safer vehicle-connected transportation systems.
{"title":"Does information provision always enable drivers to make better decisions?–A study on decision-making dilemmas at uncontrolled intersections","authors":"Miaomiao Yang,&nbsp;Qiong Bao,&nbsp;Yongjun Shen,&nbsp;Qikai Qu,&nbsp;Rui Zhang,&nbsp;Tianyuan Han,&nbsp;Huansong Zhang","doi":"10.1016/j.trf.2024.12.018","DOIUrl":"10.1016/j.trf.2024.12.018","url":null,"abstract":"<div><div>The safety implications of two vehicles encountering at uncontrolled intersections remain a significant concern. Despite the availability of connected information, drivers might still face decision-making dilemmas that pose potential risks to traffic safety. To explore the impact of connected information in such interactive dilemmas on driving decisions and traffic operation, a video-based preemptive/yielding (P/Y) decision-making experiment involving 62 straight-going (SG) and 62 left-turning (LT) drivers was conducted under connected information provision. Recognizing the potential adverse effects on operational efficiency if both drivers choose to yield and the threat to traffic safety in scenarios where both opt for preemptive actions, the joint decisions made by SG and LT drivers were treated as response outcomes. Three interactive dilemmas conditions, the provision of turning information, and individual characteristics attributes were considered as explanatory variables. By developing a random regret minimization mixed multinomial logit model, this study examined the effects of connected information on joint decisions and their subsequent influence on potential traffic safety and operational efficiency. The findings indicate that (1) different dilemma conditions significantly influence joint decisions. The high probability of Y-Y and P-P joint decisions suggests that even with the availability of connected information, better driving decisions may not always be achieved. Notably, providing connected information in dilemma condition (2) (where the SG vehicle had a smaller speed but a closer distance to the intersection than the LT vehicle) increases the likelihood of heterogeneous Y-P joint decisions, thus benefiting overall traffic operations. (2) Turning information generally contributes to traffic operations by increasing Y-P joint decisions, yet it also exacerbates potentially hazardous interactions, marked by an increase in both sides choosing preemptive behaviors (P-P joint decisions). This emphasizes the need for traffic authorities to regulate left-turning vehicles’ turn signal usage. (3) Heterogeneous individual characteristics tend to lead to diverse joint decisions, particularly concerning penalty record, accident history, and driving skill. Surprisingly, the heterogeneity of education, income, and driving experience presents a higher probability of homogeneous joint decisions. Overall, this study contributes significantly to understanding the determinants influencing interactive driving decision-making under connected information provision, aiming to the advancement of more efficient and safer vehicle-connected transportation systems.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 320-335"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099904","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
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Transportation Research Part F-Traffic Psychology and Behaviour
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