Travel Behaviour and Society最新文献_第4页

Long-distance travel impacts of automated vehicles: A survey of American households 自动驾驶汽车对长途旅行的影响：对美国家庭的调查

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2025-12-14 DOI: 10.1016/j.tbs.2025.101168

Yantao Huang, Natalia Zuniga-Garcia, Kara M. Kockelman

This study assesses long-distance (LD) travel demand in near-future scenarios where automated vehicles (AVs) are easily available. Stated and revealed preference data were obtained from 1,004 American adults. The survey includes questions about general LD trip-making behavior with AVs, after investigating the possibility of using AVs to substitute for respondents’ recent LD trips (over 75-miles one-way) prior to the COVID-19 pandemic. After cleaning and weighting the responses, respondents’ willingness to use AVs for a past LD trip are shared, and their future travel behaviors with AVs are explored via statistical models. Ordered logit regression model results suggest AVs would increase the trip-making frequency of high-income households, households with more children, and young people who are part-time employed. The multinomial logit model for overnight stopping suggests that high-income travelers prefer staying overnight in hotels, while young and solo-drivers are expected to more often stay overnight in moving AVs. Mornings departures are preferred for LD travel - both with and without AVs, but some travelers shift to later departures when AVs become available, particularly those who are employed full-time and/or have more children in their household. Results of the mode choice model for mid-range LD travel (200 to 500 miles) suggest those who are unmarried and/or employed full time prefer AVs, while those over age 65 do not. Car and AV cost are the most practically significant variables impacting people’s mode choices, and aircraft and AVs are more appealing than human-driven vehicles for trips over 500 miles long.

本研究评估了在不久的将来，自动驾驶汽车（AVs）很容易获得的情况下，长途旅行（LD）的需求。声明和显示的偏好数据来自1004名美国成年人。在调查了在2019冠状病毒病大流行之前使用自动驾驶汽车替代受访者最近的单程75英里以上的自动驾驶汽车旅行的可能性之后，该调查包括了关于自动驾驶汽车的一般LD旅行行为的问题。在对问卷进行清理和加权后，分享受访者在过去的LD旅行中使用自动驾驶汽车的意愿，并通过统计模型探讨他们未来使用自动驾驶汽车的旅行行为。有序logit回归模型结果表明，自动驾驶汽车会增加高收入家庭、子女较多家庭和兼职年轻人的出行频率。过夜停留的多项logit模型表明，高收入的旅行者更喜欢在酒店过夜，而年轻的和独自驾驶的人更倾向于在移动的自动驾驶汽车中过夜。无论有没有自动驾驶汽车，早上出发都是LD旅行的首选，但当自动驾驶汽车可用时，一些旅行者会转向晚一点出发，特别是那些全职工作和/或家中有更多孩子的人。中程长途旅行（200至500英里）模式选择模型的结果表明，未婚和/或全职工作的人更喜欢自动驾驶汽车，而65岁以上的人则不喜欢。汽车和自动驾驶汽车的成本是影响人们出行方式选择的最重要的变量，在500英里以上的行程中，飞机和自动驾驶汽车比人类驾驶的汽车更有吸引力。

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引用次数: 0

Youths on the move: Social disparities in public transportation use among school students 移动中的年轻人：学生中公共交通使用的社会差异

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2025-12-13 DOI: 10.1016/j.tbs.2025.101212

Anastasios Skoufas, Erik Jenelius

Public transportation (PT) plays a crucial role in catering to the mobility needs of school students. However, the disparities of PT travel characteristics among different socioeconomic groups have been underexplored. In this study, we explore disparities in PT usage, after-school activity participation, journey length, and on-board crowding among different socioeconomic groups as well as between different educational stages (primary, secondary). We specifically focus on home-to-school and school-to-activity PT journeys utilizing automated data sources (smart card data). Results from the case study of Region Stockholm show that travel time and crowding exposure vary across the case study area. Specifically, school students coming from areas with higher income levels, higher shares of cooperative housing, or lower vehicle ownership tend to need less time to travel to school. In terms of student categorization, secondary students with diverse socioeconomic backgrounds tend to travel longer to school compared to primary students. Concerning journeys to after-school activities using PT, results reveal that school students from areas with high vehicle ownership and education or lower employment levels, as well as students from suburban/rural areas, have lower odds of using PT. The findings can assist policy makers and PT agencies in designing more equitable and youth-friendly PT systems, improving access to schools and to after-school activity locations.

公共交通在满足学生出行需求方面起着至关重要的作用。然而，不同社会经济群体间PT旅游特征的差异尚未得到充分的研究。在本研究中，我们探讨了不同社会经济群体以及不同教育阶段（小学、中学）之间PT使用、课外活动参与、旅程长度和车上拥挤程度的差异。我们特别关注使用自动化数据源（智能卡数据）的从家到学校和从学校到活动的PT旅程。斯德哥尔摩地区的案例研究结果表明，在不同的案例研究区域，出行时间和拥挤暴露程度各不相同。具体来说，来自收入水平较高、合作住房比例较高或车辆拥有量较低地区的学生往往需要较少的上学时间。在学生分类方面，不同社会经济背景的中学生比小学生更倾向于上学时间更长。结果显示，车辆拥有量高、受教育程度高或就业水平低的地区的学生，以及郊区/农村地区的学生，使用PT的几率较低。研究结果可以帮助政策制定者和PT机构设计更公平和青年友好的PT系统，改善上学和课后活动地点的可及性。

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引用次数: 0

Do Pedestrians Respond Differently to Perceived Vehicle Automation in Monitor-based and Head-Mounted immersive Experiments? 在基于监视器和头戴式沉浸式实验中，行人对感知到的车辆自动化反应不同吗？

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2025-12-10 DOI: 10.1016/j.tbs.2025.101210

Vladimir Maksimenko , Liting Yuan , Prateek Bansal

Due to limited historical data on interactions of pedestrians with autonomous vehicles (AVs), researchers commonly use stated preference experiments to study pedestrians’ perceived ease of interactions with AVs. Virtual reality implemented via head-mounted displays (HMDs) provides a three-dimensional representation of pedestrian–AV encounters that may enhance realism and elicit responses similar to those in real life. However, the mechanisms by which HMDs confer this advantage remain unclear. To this end, we systematically compare HMD-based and monitor-based experimental formats in their ability to capture behavioral, physiological (i.e., stress biomarkers), psychological (i.e., brain data), and self-reported measures of pedestrian-AV interaction. In a controlled within-subject design, we find that in the HMD condition, pedestrians’ initial trust in AVs translates into statistically detectable differences across these measures while pedestrians interact with AVs and human-driven vehicles; by contrast, the monitor-based condition, tested with the same participants and identical stimuli, fails to detect such effects. The greater immersion in the HMD condition is further supported by a higher propensity to look around (behavioral measure) and by increased cognitive load derived from neurophysiological signals, both of which indicate enhanced perceptual realism. These results underscore the value of immersive 3D experiments for studying pedestrian-AV interaction over 2D picture/video-based experiments.

由于行人与自动驾驶汽车交互的历史数据有限，研究人员通常使用陈述偏好实验来研究行人与自动驾驶汽车交互的感知难易程度。通过头戴式显示器（hmd）实现的虚拟现实提供了行人与自动驾驶汽车相遇的三维表示，可以增强真实感，并引发与现实生活中类似的反应。然而，hmd赋予这种优势的机制尚不清楚。为此，我们系统地比较了基于hmd和基于监视器的实验格式在捕获行人与自动驾驶汽车相互作用的行为、生理（即压力生物标志物）、心理（即大脑数据）和自我报告测量方面的能力。在受控的受试者内设计中，我们发现在HMD条件下，行人对自动驾驶汽车的初始信任转化为统计上可检测的差异，而行人与自动驾驶汽车和人类驾驶的车辆相互作用；相比之下，在同样的参与者和相同的刺激下进行的基于监视器的条件测试中，没有检测到这种影响。在HMD条件下，更大的沉浸感进一步得到了更高的环顾倾向（行为测量）和来自神经生理信号的认知负荷增加的支持，这两者都表明增强的感知现实主义。这些结果强调了沉浸式3D实验在研究行人与自动驾驶汽车互动方面的价值，而不是基于2D图片/视频的实验。

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引用次数: 0

Choice Preferences for Urban Air Mobility: A Latent Class Discrete Choice Model with Mixed Logit Extensions 城市空中交通的选择偏好：一个混合Logit扩展的潜在类离散选择模型

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2026-01-03 DOI: 10.1016/j.tbs.2025.101229

Hong Zhang , Xiangrong Xue , Guocong Zhai , Hongtai Yang , Xiaozhao Lu , Christopher R. Cherry

The emergence of Urban Air Mobility (UAM) is expected to be a potential solution to improve travel efficiency and mitigate traffic congestion. However, choice preferences for UAM are still understudied, especially for the megacities in China. This study investigates the choice preferences for UAM through a hybrid modeling framework that integrates the Latent Class Discrete Choice Model (LCDCM) with the Mixed Logit Model (MLM). A total of 410 respondents were sampled to represent Chengdu residents in 2024. The LCDCM was first applied to identify distinct traveler segments. Then, leveraging soft-classification probabilities as weights, cluster-specific MLMs were estimated to uncover systematic heterogeneity in preferences across groups. Five user classes were identified, mainly characterized by car ownership, safety concerns, and occupation. The MLM results reveal substantial heterogeneity in sensitivity to fares, in-vehicle time, and out-of-vehicle time. Methodologically, this study provides a novel hybrid approach to capture the observed and unobserved heterogeneity of choice preferences. This study practically helps researchers, practitioners, and government agencies to understand the choice preferences of UAM and promote the deployment of UAM in megacities.

城市空中交通（UAM）的出现有望成为提高出行效率和缓解交通拥堵的潜在解决方案。然而，人们对UAM的选择偏好仍未得到充分研究，尤其是在中国的特大城市。本研究通过将潜在类离散选择模型（LCDCM）与混合Logit模型（MLM）集成在一起的混合建模框架来研究UAM的选择偏好。共有410名受访者被抽样，代表2024年的成都居民。LCDCM首先被用于识别不同的旅行者群体。然后，利用软分类概率作为权重，估计集群特定的传销，以揭示跨群体偏好的系统性异质性。该研究确定了五个用户类别，主要以汽车拥有量、安全问题和职业为特征。传销的结果揭示了实质性的异质性敏感性票价，车内时间，和车外时间。在方法上，本研究提供了一种新的混合方法来捕捉观察到的和未观察到的选择偏好的异质性。本研究有助于研究人员、从业人员和政府机构了解UAM的选择偏好，促进UAM在特大城市的部署。

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引用次数: 0

Unraveling influence of perceived service quality of drone delivery service on behavioral intentions 无人机配送服务感知服务质量对行为意向的影响

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2026-01-03 DOI: 10.1016/j.tbs.2025.101227

Xinyu Chen, Doosun Hong, Sunghoon Jang

With the development of drone technology, drone delivery services are gradually being commercialized; however, the service still faces challenges such as immature technology, insufficient publicity, and public concerns about privacy issues. This study aims to identify the key factors affecting consumers’ intention to use drone delivery services and propose improvement strategies to promote the widespread adoption of drone delivery services. Through an online survey of Seoul residents, this survey collected 491 valid questionnaires, examining various characteristics such as gender, age, and online shopping behaviors. By using hybrid generalized ordered logit model, this study analyzed the relationship between individual characteristics, perceived service quality, and usage intention. The findings reveal that eight perceived service qualities have varying degrees of influence on usage intention. Delivery time, noise and privacy are key factors for ’high intent’ consumers, while functionality, safety from infection and delivery time are top factors for ’medium intent’ consumers. In addition, males, those under 40, and those with higher levels of education show a stronger intention to use. Enterprises should enhance the visibility of drone delivery services, optimize service quality, and offer customized services tailored to different groups. Simultaneously, the government should strengthen its focus on data security and legal standards. This study provides both theoretical insights and practical recommendations for the future development of drone delivery services.

随着无人机技术的发展，无人机送货服务正在逐步商业化；然而，这项服务仍然面临着技术不成熟、宣传不足以及公众对隐私问题的担忧等挑战。本研究旨在找出影响消费者使用无人机送货服务意愿的关键因素，并提出改进策略，以促进无人机送货服务的广泛采用。此次调查以首尔市民为对象，对性别、年龄、网上购物行为等进行了问卷调查，共收集了491份有效问卷。采用混合广义有序logit模型，分析了个体特征、感知服务质量与使用意愿之间的关系。研究结果显示，八项感知服务品质对使用意愿有不同程度的影响。配送时间、噪音和隐私是“高意向”消费者的关键因素，而功能、防感染安全性和配送时间是“中等意向”消费者的主要因素。此外，男性、40岁以下和受教育程度较高的人使用手机的意愿更强。企业应提高无人机配送服务的可见性，优化服务质量，针对不同人群提供定制化服务。同时，政府应加强对数据安全和法律标准的关注。本研究为无人机快递服务的未来发展提供了理论见解和实践建议。

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引用次数: 0

Flood hazard assessment and emergency evacuation under rainstorm disasters: A case study of Luhe District in Nanjing 暴雨灾害下洪涝灾害危险性评价与应急疏散——以南京市鹿河区为例

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2026-01-03 DOI: 10.1016/j.tbs.2025.101231

Shuchao Cao , Luhan Ma , Ying Zhou , Xiangxia Ren , Yiping Zeng , Xiaoxia Yang , Peng Wang

In recent years, urban floods caused by heavy rains occur frequently, leading to heavy casualties and economic losses worldwide. Transportation network serves as the backbone of urban lifeline engineering, which is crucial for ensuring residents’ safety and emergency evacuation in flood disasters. Therefore, to investigate the flood hazard for pedestrians and vehicles during the rainstorm, an urban rain-flood coupling model is firstly established and validated to accurately simulate the flood inundation process by fusing multiple types of high-precision data. Four rainfall patterns with return periods of 5 years, 10 years, 50 years and 100 years are designed based on the Chicago rainfall method. The critical instability conditions for heterogeneous pedestrians and vehicles are obtained. Finally, a quantitative assessment framework for flood hazard on urban roads is proposed based on flood simulation results and instability risk analysis. The results indicate that the flood hazard level for pedestrians and vehicles increases with the increment of rainfall intensity and duration. Compared to pedestrians, the adverse impact of floods on vehicles is greater since the length of dangerous roads for vehicles increases by 4.5 times. Compared with adults and SUVs, children and cars are more vulnerable to floods, with the length of dangerous roads increasing by 6 times and 90 % respectively. In emergency circumstances, based on the flood hazard distribution and evacuation distances, feasible evacuation routes and evacuation modes in different residential areas are planned to ensure the safety of citizens. The study is helpful to improve emergency responses and traffic management under urban flood disasters.

近年来，暴雨引发的城市洪水频繁发生，在世界范围内造成了重大人员伤亡和经济损失。交通网络是城市生命线工程的骨干，在洪涝灾害中对保障居民安全和应急疏散至关重要。因此，为了研究暴雨期间行人和车辆的洪水危害，首先建立并验证了城市雨洪耦合模型，通过融合多类型高精度数据准确模拟洪水淹没过程。基于芝加哥降雨法，设计了4种重现周期为5年、10年、50年和100年的降水模式。得到了非均质行人和车辆的临界不稳定条件。最后，基于洪水模拟结果和失稳风险分析，提出了城市道路洪水灾害定量评价框架。结果表明：随着降雨强度和持续时间的增加，行人和车辆的洪水危险程度增加；与行人相比，洪水对车辆的不利影响更大，因为车辆的危险道路长度增加了4.5倍。与成年人和suv相比，儿童和汽车更容易受到洪水的影响，危险道路的长度分别增加了6倍和90%。在紧急情况下，根据洪水灾害分布和疏散距离，规划不同居民区可行的疏散路线和疏散方式，确保市民的安全。研究结果有助于提高城市洪涝灾害下的应急响应和交通管理水平。

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引用次数: 0

Navigating mobility in later life: How vehicle access and community context shape travel behaviour among older adults 在晚年生活中导航移动性：车辆访问和社区环境如何影响老年人的旅行行为

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2025-11-13 DOI: 10.1016/j.tbs.2025.101190

Muhammad Adeel , Asad J. Khattak , Moetasim Ashfaq

Older adults face distinct mobility limitations due to aging, limited access to private vehicles, and structural barriers in their communities, such as inadequate transit, spatial isolation, and environmental burdens. This study examines the travel behaviour of 3,769 older adults aged 65 and over in the Puget Sound region, focusing on how household vehicle access and community-level structure influence both the likelihood of travel and trip frequency. The study develops a unique database by integrating person-level behavioural data from the Puget Sound Household Travel Survey with the National Community Indicators database at the census tract level. A Mobility-Constrained Framework (MCF) was quantified using a Zero Hurdle Negative Binomial regression model. It jointly estimates whether older adults made any trips (extensive margin) and, if so, how many (intensive margin). Vehicle access emerged as the strongest predictor of mobility. Living in a household with at least one vehicle significantly increased the odds of traveling (odds ratio, OR = 1.453) and overall trip frequency (incidence rate ratio, IRR = 3.607). A higher vehicle-to-adult ratio further raised trip counts (IRR = 1.773). In contrast, residing in a burdened community without a vehicle sharply reduced trip frequency (IRR = 0.517), highlighting spatial and infrastructural constraints. Rural residents were also associated with lower travel frequency (IRR = 0.537), reflecting longer distances and fewer modal options. Mobility was further constrained among adults aged 85 and above (OR = 0.347) and those with disabilities (IRR = 0.884), while living alone was linked to more travel. Car-sharing (IRR = 1.550) and transit use (IRR = 2.950) were positively associated with trip frequency. Guided by the MCF, findings highlight how individual, household, and community-level factors collectively shape travel behaviour. The study underscores the need for age-friendly transportation investments, especially in rural communities, expanded ADA-compliant services, and mobility innovations supporting aging populations.

老年人面临着明显的行动限制，原因包括老龄化、私人车辆有限以及社区中的结构性障碍，如交通不足、空间隔离和环境负担。本研究调查了普吉特海湾地区3,769名65岁及以上老年人的旅行行为，重点关注家庭车辆通道和社区水平结构如何影响旅行的可能性和旅行频率。该研究通过将普吉特海湾家庭旅行调查的个人行为数据与人口普查区一级的国家社区指标数据库相结合，开发了一个独特的数据库。采用零障碍负二项回归模型对MCF进行量化。它联合估计老年人是否有旅行（宽裕度），如果有，有多少次旅行（密集裕度）。车辆通行成为流动性的最强预测指标。生活在至少有一辆汽车的家庭中显著增加了出行的几率（优势比，OR = 1.453）和总体出行频率（发病率比，IRR = 3.607）。较高的车辆与成人之比进一步提高了出行次数（IRR = 1.773）。相比之下，居住在没有车辆的负担沉重的社区，出行频率急剧下降（IRR = 0.517），突出了空间和基础设施的限制。农村居民也与较低的出行频率相关（IRR = 0.537），反映了更远的距离和更少的交通方式选择。85岁及以上的成年人（OR = 0.347）和残疾人（IRR = 0.884）的行动能力进一步受到限制，而独居与更多的旅行有关。共享汽车（IRR = 1.550）和公交使用（IRR = 2.950）与出行频率呈正相关。在MCF的指导下，调查结果强调了个人、家庭和社区层面的因素如何共同影响旅行行为。该研究强调需要对老年人友好型交通进行投资，特别是在农村社区，扩大符合《美国残疾人法》的服务，以及支持老年人口的交通创新。

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引用次数: 0

Integrating innovation and environmental awareness: A path to green purchase intention for electric Two-Wheelers 整合创新与环保意识：电动两轮车绿色购买意愿之路

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2025-11-07 DOI: 10.1016/j.tbs.2025.101164

Nguyen Khanh Hai Tran

This study examines the influence of perceived innovation (PI) and environmental awareness (EA) on consumers’ green purchase intention (GPI) for electric two-wheelers in Vietnam, while also highlighting the mediating role of green perceived value (GPV). Despite the growing global emphasis on sustainable transportation, limited research addresses the adoption of electric two-wheelers in developing economies that heavily rely on motorcycles. Addressing this gap, the study integrates the Value–Attitude–Behavior (VAB) model and Protection Motivation Theory (PMT) to propose a comprehensive analytical framework. Data from 511 urban Vietnamese consumers were analyzed using structural equation modeling (SEM). Results confirm that PI and EA significantly enhance GPV and GPI, with GPV serving as a critical mediator of these effects. Theoretically, the research extends existing frameworks by identifying GPV as the pivotal link between innovation, environmental consciousness, and purchase intentions. Practically, the findings suggest that policymakers should combine infrastructure investments, financial incentives, and public education campaigns that emphasize innovation and environmental benefits to accelerate the adoption of electric two-wheelers. Businesses are recommended to strategically highlight product innovations and environmental advantages in marketing initiatives to strengthen consumer value perceptions, thus advancing Vietnam’s transition toward sustainable transportation.

本研究考察了感知创新（PI）和环境意识（EA）对越南电动两轮车消费者绿色购买意愿（GPI）的影响，同时也强调了绿色感知价值（GPV）的中介作用。尽管全球越来越重视可持续交通，但关于在严重依赖摩托车的发展中经济体采用电动两轮车的研究有限。为了弥补这一不足，本研究将价值-态度-行为（Value-Attitude-Behavior， VAB）模型与保护动机理论（Protection Motivation Theory， PMT）相结合，提出了一个全面的分析框架。使用结构方程模型（SEM）分析了511名越南城市消费者的数据。结果证实，PI和EA显著提高GPV和GPI， GPV是这些影响的关键中介。从理论上讲，该研究扩展了现有的框架，将GPV确定为创新、环境意识和购买意愿之间的关键联系。实际上，研究结果表明，政策制定者应该将基础设施投资、财政激励和强调创新和环境效益的公共教育运动结合起来，以加速电动两轮车的普及。建议企业在营销活动中战略性地突出产品创新和环境优势，以加强消费者的价值观念，从而推动越南向可持续交通的过渡。

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引用次数: 0

From silent discontent to digital outrage: negotiating social norms in the Buenos Aires subway 从沉默的不满到数字化的愤怒：布宜诺斯艾利斯地铁里的社会规范谈判

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2025-11-14 DOI: 10.1016/j.tbs.2025.101174

Maite Regina Beramendi , Melissa Sánchez , Davide Morselli , Marcelo Montenegro

Urban public transport systems, particularly subways, are spaces where formal regulations and informal norms shape social interactions. This study analyzes spontaneous messages posted on X (formerly Twitter) regarding norm violations and coexistence issues in the Buenos Aires subway (2017–2022). Using a mixed-methods approach, we applied structural topic modeling and qualitative content analysis to identify key themes in 12,334 tweets. Findings reveal that while passengers experience frequent frustration over norm violations, including fare evasion, pushing, and rule enforcement inconsistencies, direct confrontation is rare but violent. Instead, passengers rely on nonverbal regulation strategies, while social media serves as an outlet for grievances that remain unspoken in real-time interactions. Our analysis also shows a fundamental tension in norm enforcement: passengers oscillate between prescriptive expectations and pragmatic adaptations to transit constraints, fostering double standards and social demoralization. This study contributes to research on urban mobility and norm compliance by demonstrating how social media provides valuable insights into everyday transit experiences.

城市公共交通系统，特别是地铁，是正式法规和非正式规范塑造社会互动的空间。本研究分析了在X（以前的Twitter）上发布的关于布宜诺斯艾利斯地铁（2017-2022）违反规范和共存问题的自发信息。使用混合方法，我们应用结构主题建模和定性内容分析来识别12,334条推文中的关键主题。调查结果显示，虽然乘客经常对违反规范的行为感到沮丧，包括逃票、推搡和规则执行不一致，但直接对抗的情况很少，但很暴力。相反，乘客依赖于非语言的监管策略，而社交媒体则是实时互动中无法说出的不满情绪的发泄渠道。我们的分析还显示了规范执行的根本紧张：乘客在规范性期望和对交通限制的务实适应之间摇摆不定，助长了双重标准和社会道德低落。这项研究通过展示社交媒体如何为日常交通体验提供有价值的见解，为城市交通和规范遵守的研究做出了贡献。

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引用次数: 0

Modeling travelers’ joint car ownership and car type choice behavior: The role of autonomous vehicle safety-security perceptions 旅行者共同拥有汽车和汽车类型选择行为的建模：自动驾驶汽车安全感知的作用

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-04-01 Epub Date: 2026-01-06 DOI: 10.1016/j.tbs.2025.101230

Umer Mansoor , Yu Gu , Anthony Chen

Car ownership and car type choice are critical components of transportation planning, yet the interplay between these decisions and the impact of emerging vehicle technologies, such as autonomous vehicles (AVs), remain underexplored. As AVs become more prevalent, travelers’ perceptions and behaviors regarding their safety and security may affect their adoption. This study investigates how travelers’ risk perceptions (safety, security, and range anxiety) shape their joint decisions to own a car and select a vehicle type within a multimodal transportation system. We propose a discrete choice modeling-based equilibrium analysis framework that integrates a dogit model to capture captivity effects in car ownership decisions and a nested logit model to account for similarities among car types. The framework is formulated as a mathematical programming problem, ensuring solution existence and uniqueness. Numerical experiments on a toy network and a real-world case study reveal that reductions in travelers’ risk perceptions toward AVs lead to significant increases in AV adoption, highlighting the critical role of public trust in transitioning to AV-dominated markets. By explicitly linking risk perceptions to long-term transportation planning, this model equips policymakers with a tool to design strategies that address behavioral barriers to AV adoption while balancing efficiency and safety objectives.

汽车拥有量和车型选择是交通规划的关键组成部分，但这些决策与新兴汽车技术（如自动驾驶汽车）的影响之间的相互作用仍未得到充分探讨。随着自动驾驶汽车的普及，旅行者对自身安全的看法和行为可能会影响自动驾驶汽车的采用。本研究调查了旅行者的风险感知（安全、保障和里程焦虑）如何影响他们在多式联运系统中拥有汽车和选择车辆类型的共同决策。我们提出了一个基于离散选择建模的均衡分析框架，该框架集成了一个dogit模型来捕捉汽车所有权决策中的圈养效应，一个嵌套logit模型来解释汽车类型之间的相似性。该框架被表述为一个数学规划问题，保证了解的存在唯一性。在玩具网络上的数值实验和现实案例研究表明，旅行者对自动驾驶汽车风险认知的降低导致自动驾驶汽车采用率的显著增加，突出了公众信任在向自动驾驶汽车主导的市场过渡中的关键作用。通过明确地将风险认知与长期交通规划联系起来，该模型为政策制定者提供了设计策略的工具，以解决自动驾驶采用的行为障碍，同时平衡效率和安全目标。

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引用次数: 0