Transportation Research Interdisciplinary Perspectives最新文献_第4页

Does a monthly bus pass make a difference? Consequences of circumscribed mobility in two structurally disadvantaged districts in Sweden 月票有区别吗？瑞典两个结构不利地区限制流动性的后果

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-14 DOI: 10.1016/j.trip.2026.101857

Thomas Höjemo , Judith Kupersmidt , Fredrik Johansson

The social effects of the lack of affordable transport options in two disadvantaged areas of Uppsala, Sweden, were examined by multiple interviews with each of seven participants. We focused on how the participants’ everyday mobility was affected by economic and site-specific constraints, before and after receiving free bus passes valid for three months in total. Public transport and walking emerged as central transport modes. Without a bus pass, the participants’ scope of mobility was limited, restricting which trips they were able to make. They also detailed how they felt limited or confined to their neighbourhood. They had to rely more on walking, which was made difficult by long distances to grocery stores and schools in one of the areas and criminality in the other area. Having access to a free bus pass augmented their feelings of freedom as well as their actual freedom of movement. Different participants linked freedom to feelings of tranquillity and assurance, as well as happiness and spontaneity. In several cases, having a free bus card resulted in more trips of social characters being made, with increased social contacts and societal involvement.

在瑞典乌普萨拉的两个弱势地区，缺乏负担得起的交通选择的社会影响是通过对七名参与者中的每一位进行多次采访来检查的。我们关注的是参与者在获得总共三个月有效的免费公交卡之前和之后，他们的日常出行如何受到经济和场地特定限制的影响。公共交通和步行成为主要的交通方式。没有公交卡，参与者的活动范围受到限制，限制了他们能够进行的行程。他们还详细描述了他们是如何感到受到限制或局限于他们的社区的。他们不得不更多地依靠步行，因为一个地区的杂货店和学校距离很远，而另一个地区则有犯罪活动，这使得步行变得困难。获得免费公交卡增强了他们自由的感觉以及他们实际的行动自由。不同的参与者将自由与平静和自信的感觉，以及快乐和自发性联系起来。在某些情况下，拥有一张免费公交卡可以让社会角色进行更多的出行，增加社会联系和社会参与。

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引用次数: 0

Drawing errors but not drawing strategies: Discriminating safe from unsafe driving in commercial drivers and cognitively at-risk seniors 绘画错误，但不是绘画策略：区分商业司机和认知风险老年人的安全驾驶和不安全驾驶

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-13 DOI: 10.1016/j.trip.2026.101844

Alice Elizabeth Atkin , Daniel Scott , Anthony Singhal

The Vitals cognitive assessment tool is a battery of tablet-based cognitive and sensorimotor tasks which are used to predict safe or unsafe driving. One of the Vitals tasks is a visuospatial working memory task, which requires people to replicate a simple shape following a short delay. Previous evidence suggests that poor performance on this task is associated with cognitive impairment and risky driving, but this poor performance could have several possible explanations, including a working memory deficit, abnormal drawing strategies, or problems with motor execution. In this study, we recruited medically at-risk older drivers and healthy commercial drivers to perform the Vitals, as well as an on-road driving evaluation. Drivers who failed the on-road evaluation drew fewer correct shapes compared to drivers who passed, but did not show any differences in drawing strategy. At-risk older drivers who failed showed an increase in motor errors while producing the drawings, while commercial drivers who failed were slower to complete the task. This pattern of results excludes suboptimal drawing strategies as an explanation for poor performance, and also exclude motor errors while producing the drawings as an explanation for increased completion time. The best explanation for poor performance on the Vitals’ visuospatial working memory task is therefore a working memory deficit.

Vitals认知评估工具是一组基于平板电脑的认知和感觉运动任务，用于预测安全或不安全驾驶。其中一项重要任务是视觉空间工作记忆任务，它要求人们在短时间内复制一个简单的形状。先前的证据表明，在这项任务中表现不佳与认知障碍和危险驾驶有关，但这种表现不佳可能有几种解释，包括工作记忆缺陷、异常的绘图策略或运动执行问题。在这项研究中，我们招募了医学上有风险的老年司机和健康的商业司机进行生命体征测试，并进行了道路驾驶评估。与通过测试的司机相比，未通过测试的司机画出的正确形状更少，但在绘制策略上没有任何差异。失败的高风险老年司机在绘制图纸时出现了更多的运动错误，而失败的商业司机完成任务的速度更慢。这种结果模式排除了次优绘图策略作为性能差的解释，也排除了电机错误，同时产生绘图作为完成时间增加的解释。因此，Vitals在视觉空间工作记忆任务中表现不佳的最好解释是工作记忆缺陷。

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引用次数: 0

Cycling towards equity: Financial incentives as a strategy for mobility justice 自行车走向公平：财政激励作为一种流动性公平策略

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-13 DOI: 10.1016/j.trip.2025.101794

Ana Yoon Faria de Lima , Frauke Behrendt , Fabio Kon

Cycling is recognized as a key strategy for the transition to sustainable urban mobility and for improving public health, yet it remains a marginal mode of transport in many cities. In an effort to promote cycling, some places offer financial incentives to encourage people to use bicycles as a mode of transportation. However, these policies raise social justice concerns regarding who benefits from such policies and who does not.

This paper explores the operationalization of a policy designed to promote cycling through financial incentives, specifically by compensating individuals for cycled kilometers with public transport credits. The study incorporates a social justice-oriented design and emphasizes the importance of diversifying cycling demographics, integrating cycling with public transport, and leveraging data to support fair urban mobility. Grounded in transport, mobility, and data justice literature, we introduce policy design guidelines for social-justice-informed ‘pay for cycling’ financial incentives, bridging social science and data science. These guidelines are illustrated through a pilot project for São Paulo’s “Bike SP” program, which includes app development, participant selection, and data collection. The pilot project reveals demographic and socioeconomic inequalities in cycling within São Paulo. It also provides a model for similar policies in other cities. The findings highlight the need for inclusive participant selection criteria and the potential of financial incentive policies to generate valuable cycling data, foster a cycling community, and integrate with broader mobility and public health policies. We argue that such policies should be part of a comprehensive strategy for creating an inclusive mobility environment.

自行车被认为是向可持续城市交通过渡和改善公共卫生的一项关键战略，但在许多城市，它仍然是一种边缘交通方式。为了促进骑自行车，一些地方提供财政奖励，鼓励人们使用自行车作为一种交通方式。然而，这些政策引起了关于谁从这些政策中受益、谁没有受益的社会正义问题。本文探讨了一项旨在通过财政激励来促进骑行的政策的实施，特别是通过用公共交通信用来补偿个人的骑行公里数。该研究采用了以社会公正为导向的设计，强调了使骑行人口多样化、将骑行与公共交通结合起来以及利用数据支持公平的城市交通的重要性。在交通、交通和数据公正文献的基础上，我们引入了社会公正的“自行车付费”财政激励政策设计指南，将社会科学和数据科学联系起来。这些指导方针是通过圣保罗“Bike SP”项目的试点项目来说明的，该项目包括应用程序开发、参与者选择和数据收集。该试点项目揭示了圣保罗市内自行车的人口和社会经济不平等。它也为其他城市的类似政策提供了一个模型。研究结果强调，需要制定包容性的参与者选择标准，以及财政激励政策的潜力，以产生有价值的骑行数据，培育骑行社区，并与更广泛的流动性和公共卫生政策相结合。我们认为，这些政策应成为创造包容性流动环境的综合战略的一部分。

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引用次数: 0

Simultaneous optimization of road intervention and overloading penalty policies for user cost minimization 以用户成本最小为目标的道路干预与超载处罚策略同步优化

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-13 DOI: 10.1016/j.trip.2026.101849

Felix Obonguta , Jinwoo Lee , Daijiro Mizutani

This research develops a framework to simultaneously optimize road pavement intervention and overloading penalty policies to minimize total user costs. Possible road user route choices from origin to destination (OD) are modeled using a stochastic user equilibrium (SUE). Specifically, truck route choice subject to SUE in which trucks face a penalty if they exceed the acceptable weight limit on faster routes or endure longer routes at no extra charge is looked at. A pavement intervention model is built to propose multiple road pavement intervention (condition improvement) decisions and overloading policies at discrete time points over a finite time horizon. Near–optimal decisions and policies for the entire road network are determined concurrently and heuristically using simulated annealing (SA). Despite generating a near–optimal solution, SA facilitates solving the complex non–differentiable problem involving agency actions (network improvements and overloading penalties) and user reactions (comply or change route). The framework presented in this article seeks to aid multifaceted user and agency decision–making amidst multiple constraints simultaneously. Its applicability is demonstrated through an empirical study on selected OD pairs along interurban routes between the Ugandan capital, Kampala, and regional urban centers.

本研究开发了一个框架，以同时优化道路路面干预和超载处罚政策，以最小化总用户成本。利用随机用户均衡模型对道路使用者从起点到终点的路径选择进行了建模。具体来说，卡车路线选择受到SUE的约束，如果卡车在更快的路线上超过可接受的重量限制，或者在不额外收费的情况下忍受更长的路线，就会面临罚款。建立了路面干预模型，提出了有限时间范围内离散时间点的多个路面干预（状况改善）决策和超载策略。采用模拟退火（SA）方法对整个路网的近似最优决策和策略进行了并行和启发式的确定。尽管生成了一个接近最优的解决方案，但SA有助于解决复杂的不可微分问题，包括代理行为（网络改进和超载处罚）和用户反应（遵守或更改路由）。本文提出的框架旨在帮助用户和机构在多种约束条件下同时做出多方面的决策。通过对乌干达首都坎帕拉和区域城市中心之间城际路线上选定的OD对的实证研究，证明了其适用性。

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引用次数: 0

Determinants of parents’ preferences for child restraint systems (CRS) in low-and-middle income urban settings 中低收入城市环境中父母对儿童约束系统（CRS）偏好的决定因素

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-13 DOI: 10.1016/j.trip.2026.101847

Samar Al-Hajj , Ricardo Nehme , Firas Hatoum , Mariana Khajadourian , Housein Zeaiter , Anthony Gharib , Jana Zeineddine , Ali Chalak

Background

Road traffic injuries constitute a major threat to children’s health and well-being. Adopting child restraint systems (CRS) represents a substantial injury prevention measure to curtail the burden of child road injuries and deaths. Using a choice experiment (CE) approach, this study aims to investigate parents’ perceptions and attitudes toward child safety through the usage of CRS and examine factors influencing their decisions to purchase and install a CRS.

Methods

Two focus group discussions were conducted among parents of children (12 years and below) to identify choices of attributes that influence parents’ use of a child’s car seat. The selected attributes were then adopted to build CE scenarios that were administered to parents online. Collected data were compiled, aggregated, and analyzed using the mixed logit (MXL) model for discrete choice analysis.

Results

A total of 120 parents participated in the study. 74.8 % were females with a mean age of 36.1 years. The CE experiment showed that parents in Lebanon are more likely to buy and use car seats that are convenient (ease of washing) and comfortable for their children (cushioning and adjustability of headrest), tending to prioritize these features over safety attributes (harnesses, ‘stroller-friendliness’).

Conclusion

Parents in Lebanon are generally interested in using a child restraint system. Concerted educational awareness initiatives are recommended to impact adults’ perceptions of CRSs, overcome barriers to CRS installation to increase the use of CRS, and ultimately reduce child road injuries and fatalities.

背景：道路交通伤害是对儿童健康和福祉的重大威胁。采用儿童约束系统是减少儿童道路伤害和死亡负担的一项实质性伤害预防措施。本研究采用选择实验（CE）的方法，探讨家长对儿童安全的认知和态度，并探讨影响家长购买和安装儿童安全系统的因素。方法在儿童（12岁及以下）的父母中进行了两次焦点小组讨论，以确定影响父母使用儿童汽车安全座椅的属性的选择。然后采用选定的属性来构建在线管理给家长的CE场景。收集的数据进行编译、汇总，并使用混合logit （MXL）模型进行离散选择分析。结果共有120名家长参与本研究。74.8%为女性，平均年龄36.1岁。CE的实验表明，黎巴嫩的父母更有可能购买和使用方便（易于洗涤）和舒适（缓冲和头枕的可调性）的汽车座椅，倾向于优先考虑这些功能，而不是安全属性（安全带，“婴儿车友好”）。结论黎巴嫩家长普遍对使用儿童约束系统感兴趣。建议采取协调一致的教育意识举措，以影响成年人对CRS的认识，克服安装CRS的障碍，增加CRS的使用，最终减少儿童道路伤害和死亡。

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引用次数: 0

An overview of vehicle routing problems: A comprehensive classification and description of types 车辆路线问题概述：类型的综合分类和描述

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-13 DOI: 10.1016/j.trip.2025.101808

Behnaz Aghaabdollahian , Babak Javadi , Adel Aazami

In every supply chain, transportation is a significant and crucial component that has various impacts on the economy, environment, and society. One of the most widely used subfields of transportation planning, known as the Vehicle Routing Problem (VRP), is studied to optimize transportation while considering all the mentioned dimensions. In recent years, many researchers have conducted various studies in this field. This research presents a systematic literature review on different routing problems from 2010 to 2025. Additionally, it provides a comprehensive classification of the various types of routing problems, primarily based on their distinct constraints, followed by a detailed description of each type. Therefore, the various studies in this field have been examined based on input parameters, approaches to dealing with uncertainty, objective functions, sustainability factors, modeling characteristics, solution methods, algorithms used, and case studies. Furthermore, the various types of VRP models, based on their modeling indicators, are investigated through a bibliometric analysis. To the best of our knowledge, the extensive classification presented, comprising 32 identified categories, has not been addressed in any previous reviews in this field. Finally, the results of all relevant studies are analyzed, and research gaps are identified to inform potential future research opportunities.

在每个供应链中，运输都是一个重要而关键的组成部分，对经济、环境和社会产生各种影响。交通规划中应用最广泛的子领域之一，被称为车辆路径问题（VRP），研究在考虑所有上述维度的情况下优化交通。近年来，许多研究者在这一领域进行了各种各样的研究。本文对2010年至2025年的不同路径问题进行了系统的文献综述。此外，它提供了各种类型路由问题的全面分类，主要基于它们的不同约束，然后是每种类型的详细描述。因此，对该领域的各种研究进行了基于输入参数、处理不确定性的方法、目标函数、可持续性因素、建模特征、解决方法、使用的算法和案例研究的审查。在此基础上，通过文献计量学分析对各类VRP模型的建模指标进行了研究。据我们所知，所提出的包括32个已确定类别的广泛分类在这一领域的以往任何审查中都没有涉及。最后，分析了所有相关研究的结果，并确定了研究空白，以告知潜在的未来研究机会。

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引用次数: 0

Open webcam data for traffic monitoring: YOLOv8 detection of road users before and during COVID-19 开放网络摄像头数据用于交通监控：YOLOv8在COVID-19之前和期间检测道路使用者

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-10 DOI: 10.1016/j.trip.2025.101774

Dorothee Stiller , Michael Wurm , Jeroen Staab , Thomas Stark , Georg Starz , Jürgen Rauh , Stefan Dech , Hannes Taubenböck

Traffic volumes are rising globally, creating a growing need for accurate and scalable data collection to address mobility challenges and enhance transport systems. Yet, traditional methods remain costly and time-consuming despite advances in automated monitoring. This study explores the feasibility of using open webcam data in combination with the state-of-the-art object detection model YOLOv8 out-of-the-box for road user monitoring. Publicly accessible webcam imagery presents challenges such as high variability in image quality, road user occlusion, and environmental factors like poor visibility due to weather conditions. To assess their potential for traffic monitoring, we utilize open webcam data from Germany to evaluate the performance of YOLOv8′s model variants, testing 110 parameter combinations with a manually labeled reference dataset. Among the tested out-of-the-box model variants, YOLOv8x achieved the highest performance, with an F1-score of 0.75. This optimized model was applied to about 500,000 open webcam scenes to monitor the change of road users before and during the COVID-19 pandemic. The analysis revealed a 9.5% overall reduction in road users volume, with motorized road users declining significantly while bicycles increased by 25.2%. This reflects mobility patterns observed during the COVID-19 pandemic, where restrictions led to a significant shift towards cycling as an alternative mode of transport. The results are plausible as they mirror broader trends in active mobility observed in various urban contexts. Our findings demonstrate the potential of leveraging open webcam data and pre-trained object detection models for scalable, cost-effective transport monitoring.

全球交通量不断上升，这就产生了对准确和可扩展的数据收集的日益增长的需求，以应对移动挑战并增强交通系统。然而，尽管在自动化监测方面取得了进展，传统方法仍然昂贵且耗时。本研究探讨了将开放式网络摄像头数据与最先进的目标检测模型YOLOv8结合起来用于道路使用者监控的可行性。可公开访问的网络摄像头图像面临的挑战包括图像质量的高度可变性、道路使用者遮挡以及天气条件导致的能见度低等环境因素。为了评估它们在交通监控方面的潜力，我们利用来自德国的开放式网络摄像头数据来评估YOLOv8模型变体的性能，用手动标记的参考数据集测试了110个参数组合。在测试的开箱即用模型变体中，YOLOv8x取得了最高的性能，f1得分为0.75。将优化后的模型应用于约50万个开放式网络摄像头场景，监测新冠肺炎大流行前和期间道路使用者的变化。分析显示，道路使用者总数减少了9.5%，其中机动道路使用者大幅减少，而自行车道路使用者增加了25.2%。这反映了在2019冠状病毒病大流行期间观察到的交通模式，在这种情况下，限制措施导致骑车成为一种替代交通方式。研究结果似乎是合理的，因为它们反映了在各种城市环境中观察到的主动出行的更广泛趋势。我们的研究结果证明了利用开放式网络摄像头数据和预训练的目标检测模型进行可扩展的、具有成本效益的运输监控的潜力。

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引用次数: 0

Envisioning AI for international cooperation in maritime transport: conceptual insights from short sea shipping and maritime spatial planning 展望人工智能在海上运输中的国际合作：来自短途海运和海上空间规划的概念见解

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-10 DOI: 10.1016/j.trip.2025.101819

Vasiliki-Maria Perra, Maria Boile

Artificial Intelligence (AI) can significantly enhance transportation governance, particularly by enabling more effective international cooperation in data-driven decision-making. In maritime transport, AI applications can support complex planning and policy processes, such as maritime spatial planning (MSP), which governs the use of maritime space across overlapping sectors and jurisdictions. Short sea shipping (SSS), a vital mode of regional and intra-regional transport, depends heavily on coordinated planning efforts due to its interactions with other marine uses, its socio-economic role, and the need to maintain connectivity for insular economies.

This study uses a national level case study of Greek SSS to identify structural, data-related, and governance limitations that impede evidence-based policy design. Key performance indicators (KPIs) and composite indices (CIs) are developed to assess connectivity, accessibility, and operational efficiency across the island and between the islands and the mainland. These empirical findings reveal fragmented data, heterogenous service patterns, and gaps in current governance frameworks, highlighting challenges that extend to regional and international coordination.

Building on these insights, the paper proposes a conceptual AI framework to address the identified limitations. Machine learning can forecast SSS performance trands, while natural language processing can harmonize policy documents across jurisdictions. By linking empirical limitations with this forward-looking conceptual approach, the study demonstrates how AI can transform fragmented maritime data into interoperable, collaborative governance mechanisms that enhance MSP implementation and cross-border cooperation.

人工智能（AI）可以显著加强交通管理，特别是通过在数据驱动的决策中实现更有效的国际合作。在海上运输中，人工智能应用可以支持复杂的规划和政策流程，例如海洋空间规划（MSP），该规划管理跨重叠部门和司法管辖区的海洋空间使用。短途海运（SSS）是区域和区域内运输的重要模式，由于其与其他海洋用途的相互作用，其社会经济作用以及保持岛屿经济连通性的需要，在很大程度上取决于协调的规划工作。本研究采用希腊社会保障制度的国家层面案例研究，以确定阻碍循证政策设计的结构性、数据相关和治理限制。制定了关键绩效指标（kpi）和综合指数（ci），以评估全岛以及岛屿与大陆之间的连通性、可达性和运营效率。这些实证研究结果揭示了当前治理框架中支离破碎的数据、异质的服务模式和差距，突出了扩展到区域和国际协调的挑战。在这些见解的基础上，本文提出了一个概念性的人工智能框架来解决已确定的限制。机器学习可以预测SSS的性能趋势，而自然语言处理可以协调跨司法管辖区的政策文件。通过将经验局限性与这种前瞻性概念方法联系起来，该研究展示了人工智能如何将碎片化的海事数据转化为可互操作的协作治理机制，从而加强MSP的实施和跨境合作。

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引用次数: 0

Determinants of injury severity in traffic accidents. Evidence from a developing country 交通事故中伤害严重程度的决定因素。来自一个发展中国家的证据

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-08 DOI: 10.1016/j.trip.2026.101843

Josselin Murillo, Juan Pablo Díaz-Sánchez

This research article analyzes the impact of various factors, such as driver characteristics, environmental factors, vehicle characteristics, and accident attributes, on the severity of physical injuries in traffic accidents occurring in Ecuador, a country where young people aged 18–29, who are of working age, have traffic accidents as the second leading cause of death. This study utilizes data from the National Traffic Accident Reports of the National Transit Agency (ANT) for the period 2021–2022. By employing a generalized ordered logit model, which more accurately captures ordinal response data, the results indicate that variables such as gender, age, day of the week, and vehicle type significantly affect the severity of injuries sustained by drivers involved in traffic accidents. From a public policy perspective, our findings provide insights into which aspects and characteristics should be targeted to reduce the severity of traffic accidents.

这篇研究文章分析了各种因素的影响，如驾驶员特征、环境因素、车辆特征和事故属性，对厄瓜多尔发生的交通事故中身体伤害的严重程度，在这个国家，18-29岁的年轻人，谁是工作年龄，交通事故是第二大死因。本研究利用了美国国家交通管理局（ANT） 2021-2022年期间的国家交通事故报告数据。采用更准确地捕获有序响应数据的广义有序logit模型，结果表明，性别、年龄、星期几和车辆类型等变量显著影响交通事故中驾驶员受伤的严重程度。从公共政策的角度来看，我们的研究结果为减少交通事故的严重程度提供了哪些方面和特征应该针对的见解。

引用次数: 0

Characterizing mobility lifestyles in Finnish cities 芬兰城市的流动生活方式特征

IF 3.8 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2026-01-08 DOI: 10.1016/j.trip.2025.101809

Felix Hallikainen , Nora Fagerholm , Samira Ramezani , Tiina Rinne , Marketta Kyttä

Car-centric urban development and car-dependent mobility practices are causing increasing harm to society and the environment. Achieving transformative changes in urban mobility requires a deeper understanding of citizens’ mobility lifestyles. This study investigates mobility lifestyles in three Finnish cities using public participation geographic information system (PPGIS) survey data from 3,260 participants. Cluster analysis identified six distinct lifestyle profiles based on travel attitudes and neighbourhood preferences. These profiles differ in travel behaviour, sociodemographic characteristics, residential locations, and perceived health and well-being.

We identified three car-oriented and three sustainable mobility lifestyle profiles, indicating the coexistence of contrasting orientations within urban populations. Sustainable mobility lifestyles were more commonly associated with car-free attitudes, multimodal travel behaviour, younger age groups, lower income, and women. Attitudes towards active mobility, car use, and car ownership varied and were predictors of travel behaviour across profiles. However, mismatches between travel attitudes and behaviour were also observed, indicating that mobility choices may be caused by contextual factors. Neighbourhood preferences aligned partially with both sustainable and car-oriented profiles, suggesting nuanced associations with mobility behaviour.

The findings advance understanding of the diverse motivations and conditions shaping everyday mobility practices. By revealing group-specific barriers and opportunities for behavioural change, the study provides actionable insights to support targeted interventions and sustainability transitions in urban mobility.

以汽车为中心的城市发展和依赖汽车的出行方式正在对社会和环境造成越来越大的危害。实现城市交通的变革需要更深入地了解市民的交通生活方式。本研究利用公众参与地理信息系统（PPGIS）对3,260名参与者的调查数据，调查了芬兰三个城市的流动性生活方式。聚类分析根据旅行态度和邻里偏好确定了六种不同的生活方式。这些概况在旅行行为、社会人口特征、居住地点以及感知的健康和福祉方面有所不同。我们确定了三种以汽车为导向和三种可持续的移动生活方式，表明城市人口中不同方向的共存。可持续的移动生活方式通常与无车态度、多模式旅行行为、年轻群体、低收入和女性有关。人们对主动出行、汽车使用和拥有汽车的态度各不相同，这些态度可以预测不同人群的出行行为。然而，出行态度和行为之间的不匹配也被观察到，这表明出行选择可能是由环境因素引起的。社区偏好与可持续发展和以汽车为导向的轮廓部分一致，表明了与流动性行为的微妙联系。研究结果促进了对日常移动实践的不同动机和条件的理解。通过揭示特定群体行为改变的障碍和机会，该研究为支持有针对性的干预措施和城市交通的可持续性转型提供了可行的见解。

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引用次数: 0