Travel Behaviour and Society最新文献_第6页

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 : 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。

{"title":"Do Pedestrians Respond Differently to Perceived Vehicle Automation in Monitor-based and Head-Mounted immersive Experiments?","authors":"Vladimir Maksimenko , Liting Yuan , Prateek Bansal","doi":"10.1016/j.tbs.2025.101210","DOIUrl":"10.1016/j.tbs.2025.101210","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101210"},"PeriodicalIF":5.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145730668","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

Who is willing to switch to a less-crowded metro route via feeder bus connections? A case study in Chengdu, China 谁愿意通过接驳巴士转乘不那么拥挤的地铁路线？以中国成都为例

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-10 DOI: 10.1016/j.tbs.2025.101202

Hongxia Yuan , Zhongquan Qiu , Han Xu , Renbin Pan , Yusong Yan

Uneven crowding across metro networks, where some lines are severely congested while others remain underutilized, undermines passenger satisfaction and network efficiency. This study examines the potential of coordinated feeder bus services to divert passengers from overcrowded to less crowded lines, using Chengdu, China, as a case study. To assess passenger willingness to switch and capture preference heterogeneity, a stated preference experiment and latent class model were applied under scenarios where the current travel mode was either metro-walking or metro-bus. Two passenger classes were identified. Class A comprised mainly frequent commuters who used the metro at least three days per week. They were highly responsive to service attributes, willing to accept substantially longer metro travel to avoid crowding and transfers, moderate extensions to reduce cost, but only minimal increases in walking or bus access time. Class B, comprising low-frequency, off-peak, and non-commuting passengers, displayed strong inertia and switched only with clear improvements in comfort or walking access. Across scenarios, Class A, particularly metro-bus commuters facing severe crowding and multiple transfers, emerged as the group most likely to switch. Elasticity and sensitivity analyses for Class A further revealed that more severe crowding or transfers on the current route produce stronger switching effects: as crowding intensifies, larger discounts are required to divert passengers to worse alternatives, whereas only modest or no incentives suffice to attract them to better ones. Overall, the findings provide robust evidence that improving feeder bus accessibility can encourage commuters to shift to less crowded metro lines, particularly when combined with service enhancements and targeted incentives.

地铁网络的不均匀拥挤，一些线路严重拥挤，而另一些线路却没有得到充分利用，这降低了乘客的满意度和网络效率。本研究以中国成都为例，探讨协调接驳巴士服务将乘客从拥挤的线路转移到不那么拥挤的线路的潜力。为了评估乘客的换乘意愿并捕捉偏好异质性，采用陈述偏好实验和潜在类别模型，对当前出行方式为地铁步行或地铁公交的情景进行了研究。乘客分为两个阶层。A类人群主要是每周至少有三天乘坐地铁的频繁通勤者。他们对服务属性非常敏感，愿意接受更长的地铁旅行，以避免拥挤和换乘，适度延长以降低成本，但步行或公交时间只增加很少。B类，包括低频、非高峰和非通勤乘客，表现出强烈的惯性，只有在舒适度或步行通道明显改善时才会切换。在各种情况下，A类乘客，尤其是面临严重拥挤和多次换乘的地铁乘客，是最有可能换乘地铁的人群。对A级的弹性和敏感性分析进一步表明，当前路线上更严重的拥挤或换乘会产生更强的换乘效应：当拥挤加剧时，需要更大的折扣才能将乘客转移到较差的替代方案，而只需适度或没有足够的激励就足以吸引他们前往较好的替代方案。总的来说，研究结果提供了有力的证据，表明改善接驳巴士的可达性可以鼓励通勤者转向不那么拥挤的地铁线路，特别是在结合服务改善和有针对性的激励措施的情况下。

{"title":"Who is willing to switch to a less-crowded metro route via feeder bus connections? A case study in Chengdu, China","authors":"Hongxia Yuan , Zhongquan Qiu , Han Xu , Renbin Pan , Yusong Yan","doi":"10.1016/j.tbs.2025.101202","DOIUrl":"10.1016/j.tbs.2025.101202","url":null,"abstract":"<div><div>Uneven crowding across metro networks, where some lines are severely congested while others remain underutilized, undermines passenger satisfaction and network efficiency. This study examines the potential of coordinated feeder bus services to divert passengers from overcrowded to less crowded lines, using Chengdu, China, as a case study. To assess passenger willingness to switch and capture preference heterogeneity, a stated preference experiment and latent class model were applied under scenarios where the current travel mode was either metro-walking or metro-bus. Two passenger classes were identified. Class A comprised mainly frequent commuters who used the metro at least three days per week. They were highly responsive to service attributes, willing to accept substantially longer metro travel to avoid crowding and transfers, moderate extensions to reduce cost, but only minimal increases in walking or bus access time. Class B, comprising low-frequency, off-peak, and non-commuting passengers, displayed strong inertia and switched only with clear improvements in comfort or walking access. Across scenarios, Class A, particularly metro-bus commuters facing severe crowding and multiple transfers, emerged as the group most likely to switch. Elasticity and sensitivity analyses for Class A further revealed that more severe crowding or transfers on the current route produce stronger switching effects: as crowding intensifies, larger discounts are required to divert passengers to worse alternatives, whereas only modest or no incentives suffice to attract them to better ones. Overall, the findings provide robust evidence that improving feeder bus accessibility can encourage commuters to shift to less crowded metro lines, particularly when combined with service enhancements and targeted incentives.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101202"},"PeriodicalIF":5.7,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736526","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

Extracting socio-psychological perceptions for analysis of travel behaviours 为分析旅行行为提取社会心理感知

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-08 DOI: 10.1016/j.tbs.2025.101197

Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge Hoogendoorn

This article proposes an evidence-based policy recommendation framework integrating social media data and natural language processing methods, to support inclusive and efficient transport policy-making. Given that current research underscores the crucial role of both external and psychological variables in individual travel decisions, psychological features – such as beliefs, attitudes or values – are frequently used as latent variables for travel behaviour interpretation and travel choice modelling. However, user-centric policy recommendations based on dynamic psychological variables are still limited. Most studies rely on survey data, which neglects the urgent dynamic trend of user perception change and its underlying relationship with travel behaviour. Hence there is a lack of illustration on how these psychological variables can be further used at specific temporal and spatial levels for travel behaviour interpretation. This would be valuable to identify priorities for more targeted (sustainability and other) policies and interventions. In this article, we utilize sentiment analysis and dynamic topic modelling to represent the spatial–temporal variance of psychological features. Integrating with corresponding travel behaviour, we illustrate how these dynamic psychological features can distinguish travel dissonance, identify key motivations, and reflect urgent social demands at precise spatial–temporal levels. We demonstrate these advances in a case study in New York City from 2019 to 2022 using Twitter (X) data. A comparison with existing travel-related policies in the case study validates the feasibility of our framework to support evidence-based policy recommendations. We conclude by discussing the potential of this framework to support sustainable transport promotion.

本文提出了一个基于证据的政策建议框架，整合社交媒体数据和自然语言处理方法，以支持包容性和高效的交通政策制定。鉴于目前的研究强调了外部变量和心理变量在个人旅行决策中的关键作用，心理特征——如信仰、态度或价值观——经常被用作旅行行为解释和旅行选择建模的潜在变量。然而，基于动态心理变量的以用户为中心的政策建议仍然有限。大多数研究依赖于调查数据，忽视了用户感知变化的迫切动态趋势及其与出行行为的潜在关系。因此，缺乏关于如何在特定的时间和空间水平上进一步使用这些心理变量来解释旅行行为的说明。这对于确定更有针对性的（可持续性和其他）政策和干预措施的优先事项将是有价值的。本文利用情感分析和动态主题建模来表征心理特征的时空变异。结合相应的旅行行为，我们说明了这些动态心理特征如何区分旅行失调，识别关键动机，并在精确的时空水平上反映紧迫的社会需求。我们使用Twitter (X)数据在2019年至2022年期间在纽约市进行的案例研究中展示了这些进步。案例研究中与现有旅游相关政策的比较验证了我们的框架支持循证政策建议的可行性。最后，我们讨论了该框架在支持可持续交通推广方面的潜力。

{"title":"Extracting socio-psychological perceptions for analysis of travel behaviours","authors":"Yanyan Xu, Panchamy Krishnakumari, Neil Yorke-Smith, Serge Hoogendoorn","doi":"10.1016/j.tbs.2025.101197","DOIUrl":"10.1016/j.tbs.2025.101197","url":null,"abstract":"<div><div>This article proposes an evidence-based policy recommendation framework integrating social media data and natural language processing methods, to support inclusive and efficient transport policy-making. Given that current research underscores the crucial role of both external and psychological variables in individual travel decisions, psychological features – such as beliefs, attitudes or values – are frequently used as latent variables for travel behaviour interpretation and travel choice modelling. However, user-centric policy recommendations based on dynamic psychological variables are still limited. Most studies rely on survey data, which neglects the urgent dynamic trend of user perception change and its underlying relationship with travel behaviour. Hence there is a lack of illustration on how these psychological variables can be further used at specific temporal and spatial levels for travel behaviour interpretation. This would be valuable to identify priorities for more targeted (sustainability and other) policies and interventions. In this article, we utilize sentiment analysis and dynamic topic modelling to represent the spatial–temporal variance of psychological features. Integrating with corresponding travel behaviour, we illustrate how these dynamic psychological features can distinguish travel dissonance, identify key motivations, and reflect urgent social demands at precise spatial–temporal levels. We demonstrate these advances in a case study in New York City from 2019 to 2022 using Twitter (X) data. A comparison with existing travel-related policies in the case study validates the feasibility of our framework to support evidence-based policy recommendations. We conclude by discussing the potential of this framework to support sustainable transport promotion.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101197"},"PeriodicalIF":5.7,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732698","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

Exploring weather-related factors affecting the duration of multiple congestion levels caused by traffic incidents using a multivariate joint frailty survival model 利用多变量联合脆弱性生存模型探索影响交通事故引起的多重拥堵水平持续时间的天气相关因素

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-08 DOI: 10.1016/j.tbs.2025.101209

Yongtao Liu , Jing Feng , Dongdong Song , Yitao Yang , Danyue Zhi , Huan Pang , Deyin Jiang , Shifeng Niu

Hazard-based duration models have gained popularity in predicting traffic incident durations. However, most studies analyze congestion duration as a whole, overlooking the varying levels of congestion (minor, moderate, and severe), which may be interrelated and influenced by different factors. This study proposes multivariate joint survival analysis models to examine the relationships across these congestion levels using traffic incident data from New York State (2017–2019), treating minor and moderate congestion as recurrent events, with severe congestion as a terminal event. By incorporating a frailty term, unobserved heterogeneity among road segments is accounted for. The results show that real-time weather factors, such as temperature, wind speed, visibility, and precipitation (rain/snowfall), exhibit varying effects on the duration of different congestion levels, with these effects fluctuating over time. For example, in 2017–2019, low temperatures increase the duration of minor congestion by 40.88 %, 26.66 %, and 52.69 %, respectively. Conversely, for severe congestion, low temperatures also show stable temporal effects but reduce congestion duration by 70.81 %, 60.07 %, and 70.81 %, respectively. Rainy weather increases the duration of moderate congestion by 54.10 %, 31.94 %, and 54.10 %, respectively, while snowy weather reduces it by 41.38 %, 37.19 %, and 27.48 %. More importantly, a significant correlation is found between minor or moderate congestion, which are recurrent events, and severe congestion, the terminal event. Furthermore, a positive correlation between minor and moderate congestion suggests that unobserved factors jointly influence the duration of both. The study confirms the superiority of the proposed joint model for analyzing traffic incident duration and provides practical insights for transportation policymakers to massively ease congestion more effectively.

基于危害的持续时间模型在预测交通事故持续时间方面得到了广泛的应用。然而，大多数研究将拥堵持续时间作为一个整体进行分析，忽略了不同程度的拥堵（轻微、中度和严重），这些拥堵可能受到不同因素的相互关联和影响。本研究提出了多变量联合生存分析模型，利用纽约州（2017-2019）的交通事故数据，将轻微和中度拥堵视为经常性事件，将严重拥堵视为终端事件，来检验这些拥堵水平之间的关系。通过纳入脆弱项，考虑了路段之间未观察到的异质性。结果表明，实时天气因素，如温度、风速、能见度和降水（雨/雪），对不同拥堵程度持续时间的影响是不同的，这些影响随着时间的推移而波动。例如，2017-2019年，低温使轻度拥堵持续时间分别增加了40.88%、26.66%和52.69%。相反，对于严重拥堵，低温也表现出稳定的时间效应，但拥堵持续时间分别减少了70.81%、60.07%和70.81%。降雨天气使中度拥堵持续时间分别增加了54.10%、31.94%和54.10%，而降雪天气使中度拥堵持续时间减少了41.38%、37.19%和27.48%。更重要的是，轻度或中度充血（反复发生的事件）与重度充血（终末事件）之间存在显著的相关性。此外，轻度和中度充血之间的正相关表明，未观察到的因素共同影响两者的持续时间。该研究证实了所提出的联合模型在分析交通事故持续时间方面的优越性，并为交通政策制定者更有效地大规模缓解拥堵提供了实践见解。

{"title":"Exploring weather-related factors affecting the duration of multiple congestion levels caused by traffic incidents using a multivariate joint frailty survival model","authors":"Yongtao Liu , Jing Feng , Dongdong Song , Yitao Yang , Danyue Zhi , Huan Pang , Deyin Jiang , Shifeng Niu","doi":"10.1016/j.tbs.2025.101209","DOIUrl":"10.1016/j.tbs.2025.101209","url":null,"abstract":"<div><div>Hazard-based duration models have gained popularity in predicting traffic incident durations. However, most studies analyze congestion duration as a whole, overlooking the varying levels of congestion (minor, moderate, and severe), which may be interrelated and influenced by different factors. This study proposes multivariate joint survival analysis models to examine the relationships across these congestion levels using traffic incident data from New York State (2017–2019), treating minor and moderate congestion as recurrent events, with severe congestion as a terminal event. By incorporating a frailty term, unobserved heterogeneity among road segments is accounted for. The results show that real-time weather factors, such as temperature, wind speed, visibility, and precipitation (rain/snowfall), exhibit varying effects on the duration of different congestion levels, with these effects fluctuating over time. For example, in 2017–2019, low temperatures increase the duration of minor congestion by 40.88 %, 26.66 %, and 52.69 %, respectively. Conversely, for severe congestion, low temperatures also show stable temporal effects but reduce congestion duration by 70.81 %, 60.07 %, and 70.81 %, respectively. Rainy weather increases the duration of moderate congestion by 54.10 %, 31.94 %, and 54.10 %, respectively, while snowy weather reduces it by 41.38 %, 37.19 %, and 27.48 %. More importantly, a significant correlation is found between minor or moderate congestion, which are recurrent events, and severe congestion, the terminal event. Furthermore, a positive correlation between minor and moderate congestion suggests that unobserved factors jointly influence the duration of both. The study confirms the superiority of the proposed joint model for analyzing traffic incident duration and provides practical insights for transportation policymakers to massively ease congestion more effectively.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101209"},"PeriodicalIF":5.7,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732697","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

How virtual experience reshapes commuters’ MaaS subscription and mode choice: Insights from an economic experiment 虚拟体验如何重塑通勤者的MaaS订阅和模式选择：来自经济实验的见解

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-03 DOI: 10.1016/j.tbs.2025.101208

Meng Guo , Jianing Liu , Sisi Jian , Zheng Li , Gang Ren , Chenyang Wu

As a noteworthy example of subscription-based service in transportation, Mobility-as-a-Service (MaaS) provides seamless and integrated multimodal travel solutions through bundles, encouraging travelers to transition from private modes to sustainable travel options. While previous studies have primarily focused on the impact of MaaS bundles on mode preferences, the complicated and extensive MaaS-induced behavioral changes and their evolving impact have been overlooked. This study addresses this gap by investigating changes in users’ subscriptions and travel choices with accumulated virtual experience of MaaS bundle usage. Combining stated choice experiments and experimental economics, we conduct a four-part multimodal travel experiment targeting commuters, offering an engaging environment where participants make sequential decisions comprising MaaS bundle subscriptions and travel mode choices. Dynamic discrete choice models are formulated to calibrate participants’ dynamic decision-making processes under MaaS bundle subscriptions and behavioral changes over multiple virtual periods. The results indicate that the virtual experience of subscribing to a particular bundle would motivate them to subscribe to the same bundle again in subsequent periods. When MaaS subscribers make mode choices, their behavior is not simply making trade-offs between travel time and cost. Rather, they tend to consider the future use of their bundles fully, and they are more inclined to make travel decisions based on available bundle discounts. The impact of subscriptions is most pronounced in promoting ride-sourcing trips, followed by multimodal and single-mode public transportation options. These findings offer initial insights into the impact of MaaS subscriptions in reshaping traveler’ subscription and travel choices over a relatively longer period.

出行即服务（MaaS）是交通运输领域基于订阅服务的一个值得注意的例子，它通过捆绑服务提供无缝集成的多式联运解决方案，鼓励旅行者从私人模式转向可持续的出行选择。虽然以往的研究主要集中在MaaS束对模式偏好的影响上，但却忽视了MaaS诱导的复杂而广泛的行为变化及其演变的影响。本研究通过调查用户订阅和旅行选择的变化，以及累积MaaS捆绑包使用的虚拟体验，解决了这一差距。结合陈述选择实验和实验经济学，我们针对通勤者进行了四部分的多模式旅行实验，提供了一个引人入胜的环境，参与者在其中做出包括MaaS捆绑订阅和旅行模式选择的顺序决策。制定了动态离散选择模型，以校准参与者在MaaS捆绑订阅和多个虚拟时期的行为变化下的动态决策过程。结果表明，订阅特定捆绑包的虚拟体验会激励他们在随后的时期再次订阅相同的捆绑包。当MaaS用户选择模式时，他们的行为不仅仅是在旅行时间和成本之间进行权衡。相反，他们更倾向于充分考虑捆绑包的未来用途，他们更倾向于根据可用的捆绑包折扣来做出旅行决定。订阅的影响最明显的是促进了叫车出行，其次是多式联运和单式公共交通选择。这些发现为MaaS订阅在相对较长时间内重塑旅行者订阅和旅行选择的影响提供了初步见解。

{"title":"How virtual experience reshapes commuters’ MaaS subscription and mode choice: Insights from an economic experiment","authors":"Meng Guo , Jianing Liu , Sisi Jian , Zheng Li , Gang Ren , Chenyang Wu","doi":"10.1016/j.tbs.2025.101208","DOIUrl":"10.1016/j.tbs.2025.101208","url":null,"abstract":"<div><div>As a noteworthy example of subscription-based service in transportation, Mobility-as-a-Service (MaaS) provides seamless and integrated multimodal travel solutions through bundles, encouraging travelers to transition from private modes to sustainable travel options. While previous studies have primarily focused on the impact of MaaS bundles on mode preferences, the complicated and extensive MaaS-induced behavioral changes and their evolving impact have been overlooked. This study addresses this gap by investigating changes in users’ subscriptions and travel choices with accumulated virtual experience of MaaS bundle usage. Combining stated choice experiments and experimental economics, we conduct a four-part multimodal travel experiment targeting commuters, offering an engaging environment where participants make sequential decisions comprising MaaS bundle subscriptions and travel mode choices. Dynamic discrete choice models are formulated to calibrate participants’ dynamic decision-making processes under MaaS bundle subscriptions and behavioral changes over multiple virtual periods. The results indicate that the virtual experience of subscribing to a particular bundle would motivate them to subscribe to the same bundle again in subsequent periods. When MaaS subscribers make mode choices, their behavior is not simply making trade-offs between travel time and cost. Rather, they tend to consider the future use of their bundles fully, and they are more inclined to make travel decisions based on available bundle discounts. The impact of subscriptions is most pronounced in promoting ride-sourcing trips, followed by multimodal and single-mode public transportation options. These findings offer initial insights into the impact of MaaS subscriptions in reshaping traveler’ subscription and travel choices over a relatively longer period.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101208"},"PeriodicalIF":5.7,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684705","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

Factors affecting the use and option use of shared mopeds and bicycles: Evidence from Dutch metropolitan cities 影响共享轻便摩托车和自行车使用和选择使用的因素：来自荷兰大城市的证据

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-02 DOI: 10.1016/j.tbs.2025.101204

Luqi Dong , M.Baran Ulak , Luiza Gagno Azolin , Anna B. Grigolon , Mohamed Abouelela , Karst T. Geurs

Shared micromobility services (SMMS) can provide alternative travel options during disruptive conditions (e.g., public transport disruptions). This is defined as “option use”, indicating that people who don’t normally use shared micromobility can consider using it when their main mode is unavailable. However, not everyone can benefit from it due to barriers that limit access to these shared modes. Therefore, this study aims to examine and explain the use and option use of shared micromobility services. A combined revealed preference and stated choice survey was conducted in the Netherlands, and binary logit models were estimated. Our results indicate that option users are more likely to be Dutch, own private e-bikes, cars, and have advanced digital skills. Moreover, we found that respondents lacking advanced digital skills are unlikely to consider app-based shared modes (e.g., shared mopeds) as a backup option in disruptions, but do consider shared modes which do not require a smartphone.

共享微出行服务（SMMS）可以在破坏性条件下（如公共交通中断）提供替代出行选择。这被定义为“选择性使用”，表明那些通常不使用共享微移动的人可以在他们的主要模式不可用时考虑使用它。然而，并不是每个人都能从中受益，因为访问这些共享模式存在障碍。因此，本研究旨在研究和解释共享微移动服务的使用和选择使用。在荷兰进行了一项综合的显示偏好和陈述选择调查，并估计了二元logit模型。我们的研究结果表明，选项用户更有可能是荷兰人，拥有私人电动自行车和汽车，并拥有先进的数字技能。此外，我们发现缺乏高级数字技能的受访者不太可能考虑基于应用程序的共享模式（例如共享轻便摩托车）作为中断时的备用选择，但确实会考虑不需要智能手机的共享模式。

引用次数: 0

Preferences for urban street space reallocation to encourage cycling: A Best-Worst Scaling profile case approach 鼓励骑行的城市街道空间重新分配偏好：最佳-最差尺度案例方法

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-02 DOI: 10.1016/j.tbs.2025.101205

Isabella Malet Lambert , Wouter Poortinga , Dimitris Potoglou , Dimitrios Xenias

Traffic restrictions and the construction of cycling infrastructure are effective strategies to reduce private car use and promote active travel in urban areas. However, implementing these measures often involves reallocating existing street space, which can lead to public resistance. This study employed a Best-Worst-Scaling (BWS) profile case approach to examine preferences for different types of street space reallocation to encourage cycling and to explore how these preferences are influenced by psychological factors such as driver and cyclist identities, perceived infringement on freedom, and place attachment. A Britain-based sample of participants (N = 509) evaluated images depicting various configurations of bike lanes, traffic restrictions, and cycle parking, where road or pedestrian space was reallocated to accommodate cycling infrastructure. Participants identified the most and least preferred features of these designs. The findings indicate broad public support for cycling infrastructure and traffic restrictions, although preferences varied significantly across street layouts. Participants particularly opposed the removal of car parking and showed a strong preference for reallocating road space rather than pedestrian space. Both cyclists and drivers favoured segregated cycling infrastructure over painted bike lanes on roads. While place attachment had limited impact on preferences, perceptions of cycling infrastructure as infringing on individual freedom emerged as a significant factor shaping space reallocation preferences. These findings offer insights for policymakers and urban planners, highlighting design strategies that may be more publicly acceptable and identifying areas where resistance to urban redesigns is likely to emerge.

交通限制和自行车基础设施建设是减少私家车使用和促进城市主动出行的有效策略。然而，实施这些措施往往涉及重新分配现有的街道空间，这可能会引起公众的抵制。本研究采用best - worst scaling （BWS）案例分析方法，考察了不同类型街道空间重新分配的偏好，以鼓励骑自行车，并探讨了这些偏好如何受到心理因素的影响，如司机和骑自行车者的身份、对自由的感知侵犯和地方依恋。英国的参与者样本（N = 509）评估了描绘各种自行车道配置、交通限制和自行车停车场的图像，其中道路或行人空间被重新分配以容纳自行车基础设施。参与者确定了这些设计中最受欢迎和最不受欢迎的特征。调查结果表明，公众广泛支持自行车基础设施和交通限制，尽管不同街道布局的偏好差异很大。与会者特别反对取消停车场，并强烈倾向于重新分配道路空间，而不是行人空间。骑自行车的人和开车的人都喜欢隔离的自行车基础设施，而不是道路上涂漆的自行车道。虽然地点依恋对偏好的影响有限，但对骑行基础设施侵犯个人自由的看法成为塑造空间再分配偏好的重要因素。这些发现为政策制定者和城市规划者提供了见解，突出了可能更容易被公众接受的设计策略，并确定了可能出现城市重新设计阻力的领域。

{"title":"Preferences for urban street space reallocation to encourage cycling: A Best-Worst Scaling profile case approach","authors":"Isabella Malet Lambert , Wouter Poortinga , Dimitris Potoglou , Dimitrios Xenias","doi":"10.1016/j.tbs.2025.101205","DOIUrl":"10.1016/j.tbs.2025.101205","url":null,"abstract":"<div><div>Traffic restrictions and the construction of cycling infrastructure are effective strategies to reduce private car use and promote active travel in urban areas. However, implementing these measures often involves reallocating existing street space, which can lead to public resistance. This study employed a Best-Worst-Scaling (BWS) profile case approach to examine preferences for different types of street space reallocation to encourage cycling and to explore how these preferences are influenced by psychological factors such as driver and cyclist identities, perceived infringement on freedom, and place attachment. A Britain-based sample of participants (N = 509) evaluated images depicting various configurations of bike lanes, traffic restrictions, and cycle parking, where road or pedestrian space was reallocated to accommodate cycling infrastructure. Participants identified the most and least preferred features of these designs. The findings indicate broad public support for cycling infrastructure and traffic restrictions, although preferences varied significantly across street layouts. Participants particularly opposed the removal of car parking and showed a strong preference for reallocating road space rather than pedestrian space. Both cyclists and drivers favoured segregated cycling infrastructure over painted bike lanes on roads. While place attachment had limited impact on preferences, perceptions of cycling infrastructure as infringing on individual freedom emerged as a significant factor shaping space reallocation preferences. These findings offer insights for policymakers and urban planners, highlighting design strategies that may be more publicly acceptable and identifying areas where resistance to urban redesigns is likely to emerge.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101205"},"PeriodicalIF":5.7,"publicationDate":"2025-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657223","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

Impact of traffic stress on mode choice: A data-driven analysis in Maryland 交通压力对模式选择的影响：马里兰州数据驱动分析

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-01 DOI: 10.1016/j.tbs.2025.101206

Tao Tao , Yi Liu , Zhuping Sheng , Sean Qian

The walking and biking environment faces challenges from rising vehicle numbers, higher traffic speeds, and inadequate infrastructure for active travel. However, existing mode choice models for biking and walking rarely incorporate trip-level Level of Traffic Stress (LTS) and have yet to examine the varying LTS impact across different contexts. Drawing on household travel survey data, a comprehensive LTS dataset, and other large-scale data sources from Maryland, we developed a statewide mode choice model that explicitly integrates trip-level LTS. Furthermore, we estimated the impacts of LTS improvements on mode choices across varying contexts. The results indicate that LTS is a critical factor in estimating mode choices, showing a significant negative correlation with walking and biking. The impact of LTS improvements on shifts in biking and walking varies based on built environment and sociodemographic variables. The results highlight the need to prioritize traffic calming measures and targeted LTS improvements to foster low-stress environments for active travel.

步行和骑自行车的环境面临着车辆数量增加、交通速度加快和主动出行基础设施不足的挑战。然而，现有的自行车和步行模式选择模型很少考虑出行水平的交通压力水平（LTS），并且尚未研究不同背景下LTS的不同影响。利用来自马里兰州的家庭旅行调查数据、综合LTS数据集和其他大规模数据源，我们开发了一个全州范围的模式选择模型，该模型明确集成了旅行级别的LTS。此外，我们估计了LTS改进对不同环境下模式选择的影响。结果表明，LTS与步行和骑自行车的出行方式呈显著负相关，是预测出行方式选择的关键因素。LTS改善对骑自行车和步行转变的影响因建筑环境和社会人口变量而异。研究结果强调，需要优先采取交通平静措施，并有针对性地改善LTS，为主动出行营造低压力环境。

引用次数: 0

Correlates of pregnant women’s active and passive mobility: A smartphone-based tracking study in Barcelona, Spain 孕妇主动和被动活动的相关性：西班牙巴塞罗那一项基于智能手机的跟踪研究

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-01 DOI: 10.1016/j.tbs.2025.101196

Karl Samuelsson , Ioar Rivas , Marta Cirach , Bruno Raimbault , Alan Domínguez , Yu Zhao , Toni Galmés , Antònia Valentin , Maria Foraster , Mireia Gascon , Cecilia Persavento , Maria Dolores Gomez Roig , Elisa Llurba , Efstathios Boukouras , Oriol Marquet , Monika Maciejewska , Mark J. Nieuwenhuijsen , Xavier Basagaña , Jordi Sunyer , Achilleas Psyllidis , Payam Dadvand

Understanding the factors that shape daily mobility during pregnancy is essential for inclusive transportation planning that promotes active travel for all. Using smartphone-based Global Positioning System data from 860 pregnant women in Barcelona, Spain, we evaluated the correlates of active and passive travel in early and late pregnancy. We identified 33 correlates from 48 candidate variables including personal characteristics, the residential physical environment, the social environment, and temporal factors. The most important correlate across pregnancy was non-European ethnic origin, being associated with 10–15 min less daily active travel. In early pregnancy, commuting distance was the most important correlate, being positively associated with passive travel, while the COVID-19 pandemic was associated with less passive travel. In late pregnancy, residential walkability and having a university degree were positively associated with active travel. The neighbourhood education level was associated with more active travel, particularly during weekends. We discuss key priorities for supporting active travel during pregnancy.

了解影响怀孕期间日常出行的因素对于制定包容性交通规划、促进所有人积极出行至关重要。利用来自西班牙巴塞罗那860名孕妇的基于智能手机的全球定位系统数据，我们评估了怀孕早期和晚期主动和被动旅行的相关性。我们从48个候选变量中确定了33个相关变量，包括个人特征、居住物理环境、社会环境和时间因素。怀孕期间最重要的关联是非欧洲血统，与每天少10-15分钟的活动旅行有关。在怀孕早期，通勤距离是最重要的相关因素，与被动出行呈正相关，而COVID-19大流行与被动出行减少相关。在怀孕后期，居住可步行性和拥有大学学位与积极旅行呈正相关。社区教育水平与更积极的旅行有关，尤其是在周末。我们讨论了支持怀孕期间积极旅行的关键优先事项。

{"title":"Correlates of pregnant women’s active and passive mobility: A smartphone-based tracking study in Barcelona, Spain","authors":"Karl Samuelsson , Ioar Rivas , Marta Cirach , Bruno Raimbault , Alan Domínguez , Yu Zhao , Toni Galmés , Antònia Valentin , Maria Foraster , Mireia Gascon , Cecilia Persavento , Maria Dolores Gomez Roig , Elisa Llurba , Efstathios Boukouras , Oriol Marquet , Monika Maciejewska , Mark J. Nieuwenhuijsen , Xavier Basagaña , Jordi Sunyer , Achilleas Psyllidis , Payam Dadvand","doi":"10.1016/j.tbs.2025.101196","DOIUrl":"10.1016/j.tbs.2025.101196","url":null,"abstract":"<div><div>Understanding the factors that shape daily mobility during pregnancy is essential for inclusive transportation planning that promotes active travel for all. Using smartphone-based Global Positioning System data from 860 pregnant women in Barcelona, Spain, we evaluated the correlates of active and passive travel in early and late pregnancy. We identified 33 correlates from 48 candidate variables including personal characteristics, the residential physical environment, the social environment, and temporal factors. The most important correlate across pregnancy was non-European ethnic origin, being associated with 10–15 min less daily active travel. In early pregnancy, commuting distance was the most important correlate, being positively associated with passive travel, while the COVID-19 pandemic was associated with less passive travel. In late pregnancy, residential walkability and having a university degree were positively associated with active travel. The neighbourhood education level was associated with more active travel, particularly during weekends. We discuss key priorities for supporting active travel during pregnancy.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101196"},"PeriodicalIF":5.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651526","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

Editorial: Smart mobility policy 社论：智能交通政策

IF 5.2 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-01 DOI: 10.1016/j.tbs.2025.101200

Luigi dell’Olio, Jose Luis Moura, Borja Alonso

引用次数: 0