Travel Behaviour and Society最新文献_第2页

Investigating extra environmental exposure in bike-sharing trips: spatial patterns and built environment factors 调查共享单车出行中的额外环境暴露：空间模式和建成环境因素

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-01-23 DOI: 10.1016/j.tbs.2026.101241

Zijian Guo , Mei-Po Kwan , Jian Liu , Xintao Liu

Shared bikes provide flexible mobility but expose riders to harmful outdoor environments, such as humid and oppressive heat, negatively impacting the travel experience. Reducing extra travel time, particularly for open-air transport, is an effective way to minimize unnecessary environmental exposure (UEE). However, the role of extra travel time in exposure studies has received limited attention, and the relationship between the built environment and UEE remains underexplored. This study addresses these gaps by constructing complex networks of UEE based on shared bike travel flows. We first calculate each Shenzhen bike-sharing trip’s extra travel time by comparing the optimal and actual travel time. UEE is then defined as a combination of this extra travel time and the corresponding “feels-like” temperature. For each origin–destination pair, numerous UEE values of trips form a distribution, from which the maximum probability point (EP) and fluctuation (EF) are extracted as two key indicators. These two indicators, along with traffic volume, serve as the weights of network edges. After the network aggregation, spatial hotspot comparisons are conducted, followed by the application of a GCN-LIME model to explain the contribution of the built environment to UEE. The results indicate that areas associated with work, education, and high diversity inhibit the UEE, while areas with food, shops, services, and hospitals promote it. Notably, laborer communities experience higher UEE and are sensitive to changes in the built environment, underscoring issues of spatial justice. These findings provide valuable insights for policymakers to identify high-exposure areas and optimize facilities to mitigate exposure.

共享单车提供了灵活的机动性，但却让骑行者暴露在有害的室外环境中，比如潮湿和闷热，对出行体验产生了负面影响。减少额外的旅行时间，特别是露天运输，是减少不必要的环境暴露（UEE）的有效方法。然而，额外旅行时间在暴露研究中的作用受到了有限的关注，建筑环境与UEE之间的关系仍未得到充分探讨。本研究通过构建基于共享自行车出行流的复杂UEE网络来解决这些差距。我们首先通过比较最优出行时间和实际出行时间，计算出每次深圳共享单车出行的额外出行时间。然后，UEE被定义为额外的旅行时间和相应的“感觉”温度的组合。对于每个始发目的地对，无数次行程的UEE值形成一个分布，从中提取最大概率点（EP）和波动（EF）作为两个关键指标。这两个指标与流量一起作为网络边缘的权重。在网络聚合后，进行空间热点比较，然后应用GCN-LIME模型解释建筑环境对UEE的贡献。结果表明，与工作、教育和高度多样性相关的区域抑制了UEE，而与食品、商店、服务和医院相关的区域则促进了UEE。值得注意的是，劳动者社区的UEE较高，对建筑环境的变化敏感，强调了空间正义问题。这些发现为决策者确定高暴露区域和优化设施以减轻暴露提供了有价值的见解。

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引用次数: 0

Exploring peer-to-peer paid carpooling in Bogotá: A path to sustainable shared mobility 探索波哥大的点对点付费拼车：一条可持续的共享交通之路

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-01-26 DOI: 10.1016/j.tbs.2026.101243

César A. Merchán-Núñez , Mauricio Orozco-Fontalvo , Luisa F. Morales-Moreno , Aquiles Darghan , Sonia C. Mangones M. , Lenin A. Bulla-Cruz

Carpooling is a sustainable transportation alternative that allows users with similar destinations to share private vehicles, contributing to reductions in energy consumption, pollutant emissions, and traffic congestion. While not a comprehensive solution, carpooling can lower private car use and increase vehicle occupancy rates. However, most carpooling initiatives have been limited in scope, often operating on a small scale or within corporate frameworks, restricting their potential for widespread adoption. In Latin America, where ride-hailing services are popular despite regulatory issues, carpooling remains uncommon. In Bogotá, an exception is the informal service called “Wheels,” which operates through WhatsApp groups to coordinate rides, focusing on university communities. This service quickly became a preferred mode of transport for students, faculty, and staff. This study aims to identify the factors driving the success of this informal initiative. A survey of 470 university community members was conducted, incorporating a discrete choice experiment to evaluate the attributes influencing their stated likelihood of use. Analytical methods included multiple correspondence analysis, logit models, and machine learning techniques. Our findings reveal that the adoption of carpooling is significantly influenced by price sensitivity, safety perceptions (particularly among women), reluctance to share rides with strangers, and demographic factors such as age and socioeconomic status. These insights offer valuable guidance for enhancing the appeal and scalability of carpooling as a door-to-door, reliable transportation alternative, particularly in similar sociocultural contexts as our case study.

拼车是一种可持续的交通方式，它允许目的地相近的用户共享私家车，有助于减少能源消耗、污染物排放和交通拥堵。拼车虽然不是一个全面的解决方案，但它可以降低私家车的使用，提高车辆入住率。然而，大多数拼车计划的范围有限，通常是小规模或在公司框架内运作，限制了它们广泛采用的潜力。在拉丁美洲，尽管存在监管问题，但叫车服务很受欢迎，拼车仍然不常见。在波哥大，一个例外是名为“Wheels”的非正式服务，它通过WhatsApp群组来协调乘车，主要针对大学社区。这项服务很快成为学生、教师和工作人员的首选交通方式。本研究旨在确定推动这一非正式倡议成功的因素。对470名大学社区成员进行了调查，结合离散选择实验来评估影响他们陈述的使用可能性的属性。分析方法包括多重对应分析、logit模型和机器学习技术。我们的研究结果表明，拼车的采用受到价格敏感性、安全观念（尤其是女性）、不愿与陌生人拼车以及年龄和社会经济地位等人口因素的显著影响。这些见解为提高拼车作为门到门的可靠交通选择的吸引力和可扩展性提供了有价值的指导，特别是在与我们的案例研究相似的社会文化背景下。

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引用次数: 0

Enhancing adaptability of taxi boat services participation amidst climate change 提高的士船服务参与气候变化的适应性

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-02-06 DOI: 10.1016/j.tbs.2026.101248

I Wayan Koko Suryawan , Sapta Suhardono , Chun-Hung Lee

This study explores the resilience and adaptability of new taxi boat services in Bali within the context of climate change. It employs Random Parameter Logit (RPL) and Latent Class Model (LCM) analyses to assess how various service attributes influence user preferences and participation. Focusing on asset resilience, infrastructure flexibility, and staff preparedness, the research identifies key factors that significantly enhance service reliability and build customer trust. Users are segmented into enthusiastic adopters, reluctant participants, and experimental users, with each group demonstrating unique reactions to service improvements. The results indicate that incorporating advanced materials and technologies markedly increases service usage among those prioritizing safety and reliability. Additionally, the findings highlight the importance of strategic service enhancements and targeted communication in boosting user engagement across different segments. Policy recommendations emphasize establishing partnerships, improving service comfort, and implementing adaptive strategies to maintain efficacy under changing environmental conditions. This study contributes valuable insights to ongoing discussions on sustainable transportation solutions and the adaptive infrastructure development necessary to mitigate the impacts of global climate change.

本研究探讨了巴厘岛新出租船服务在气候变化背景下的弹性和适应性。它采用随机参数Logit （RPL）和潜在类模型（LCM）分析来评估各种服务属性如何影响用户偏好和参与。该研究着重于资产弹性、基础设施灵活性和员工准备，确定了显著提高服务可靠性和建立客户信任的关键因素。用户被分为热情的采用者、不情愿的参与者和实验用户，每一组用户对服务改进都表现出独特的反应。结果表明，在那些优先考虑安全性和可靠性的人中，采用先进材料和技术显著提高了服务使用率。此外，调查结果强调了战略性服务增强和有针对性的沟通在提高不同细分市场用户参与度方面的重要性。政策建议强调建立伙伴关系、提高服务舒适度和实施适应性策略，以在不断变化的环境条件下保持效力。这项研究为正在进行的关于可持续交通解决方案和适应性基础设施发展的讨论提供了宝贵的见解，以减轻全球气候变化的影响。

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引用次数: 0

A comparative vibroacoustic performance and comfort assessment of conventional and electric buses: The city of Montreal case study 传统和电动公交车的振动声学性能和舒适性评估：蒙特利尔城市案例研究

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-02-10 DOI: 10.1016/j.tbs.2026.101244

Emmanuel Davies, Fuzhan Nasiri

This study explores the interactions between bus operational dynamics, vibroacoustic levels, and rider comfort perceptions for improving public bus transit experience. To achieve this, data was collected from 43 buses (31 conventional and 12 electric buses), through direct operational observations. Bivariate analysis was used to assess key operational factors, while ridge regression modelling established the strongest predictive links between these factors, vibroacoustic levels, and comfort perceptions. The results indicated that bus age, road conditions, and average speed influenced noise and vibration levels. Specifically, older buses, poorer road conditions, and higher average speeds contributing to increased vibroacoustic generation and subsequently higher rider discomfort. These findings guided the development of vibroacoustic performance and comfort assessments which serves as the basis for the policy implications introduced in the study. Future research should consider additional operational dynamics, such as traffic density and driving skill variations, to further improve public transportation efficiency.

本研究探讨巴士运行动力学、振动声学水平和乘客舒适度之间的相互作用，以改善公共巴士交通体验。为了实现这一目标，通过直接的运营观察，从43辆公交车（31辆传统公交车和12辆电动公交车）收集了数据。双变量分析用于评估关键操作因素，而脊回归模型在这些因素、振动声学水平和舒适度之间建立了最强的预测联系。结果表明，公交车的车龄、道路状况和平均速度影响噪声和振动水平。具体来说，老旧的公交车、较差的路况和较高的平均速度会增加振动声的产生，从而增加乘客的不适。这些发现指导了振动声学性能和舒适性评估的发展，这些评估是研究中介绍的政策影响的基础。未来的研究应考虑更多的操作动态，如交通密度和驾驶技能的变化，以进一步提高公共交通效率。

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引用次数: 0

Hands off the wheel, hands off the choice? A discrete choice experiment on trolley dilemma in autonomous vehicles 放开方向盘，放开选择权？自动驾驶车辆小车困境的离散选择实验

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-01-29 DOI: 10.1016/j.tbs.2026.101251

Woojae Kim , Youngsang Cho , Taeho Park , Kyuho Maeng

As autonomous vehicles (AVs) are increasingly integrated into everyday mobility systems, ethically complex crash scenarios have become a critical issue. Therefore, trolley dilemmas have attracted significant attention. However, little is known about how moral programming influences consumers’ acceptance of an AV. This study investigated the relative impact of ethical decision logic, accident liability, and safety performance on AV adoption preferences. A stated-choice experiment was conducted with 1,032 Korean respondents, and a mixed logit model with the Bayesian estimation method was used to estimate heterogeneous utility parameters. The experiment included five attributes: whether the AV protects the driver or pedestrian, the party responsible for the accident, annual accident probability, algorithm personalization, and purchase price. Demographic characteristics were also examined. The results indicated that the attribute “whether an AV protects drivers or pedestrians” had no significant effect on consumer utility. By contrast, a lower accident probability and assigning responsibility to manufacturers or software developers rather than to drivers substantially increased AV acceptance. Male, urban, and lower-income respondents were more likely to prefer AVs that protect drivers and shift the liability toward institutional actors. These findings suggest that consumers prioritize measurable safety and institutional accountability over abstract ethical logic. For AV developers and policymakers, these results highlight the value of adaptive algorithmic frameworks and clearly defined liability structures. This study contributes to the design of socially acceptable AV systems that align with public expectations in the age of algorithmic decision-making.

随着自动驾驶汽车（AVs）越来越多地融入日常出行系统，道德上复杂的碰撞场景已成为一个关键问题。因此，电车困境引起了极大的关注。然而，关于道德规划如何影响消费者对自动驾驶汽车的接受程度，我们知之甚少。本研究调查了道德决策逻辑、事故责任和安全性能对自动驾驶汽车采用偏好的相对影响。对1032名韩国受访者进行了状态选择实验，并使用混合logit模型和贝叶斯估计方法来估计异质性效用参数。实验包括5个属性：自动驾驶汽车是保护驾驶员还是行人、事故责任方、年度事故概率、算法个性化、购买价格。还审查了人口特征。结果表明，“自动驾驶汽车是保护驾驶员还是保护行人”属性对消费者效用没有显著影响。相比之下，较低的事故概率和将责任分配给制造商或软件开发商而不是驾驶员，大大提高了自动驾驶汽车的接受度。男性、城市和低收入受访者更倾向于选择能够保护司机并将责任转移给制度参与者的自动驾驶汽车。这些发现表明，消费者优先考虑可衡量的安全性和制度责任，而不是抽象的伦理逻辑。对于自动驾驶汽车开发者和政策制定者来说，这些结果突出了自适应算法框架和明确定义的责任结构的价值。这项研究有助于设计符合算法决策时代公众期望的社会可接受的自动驾驶系统。

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引用次数: 0

How has the importance of factors influencing telework adoption changed over time? Observing pre- to late-pandemic trends using multi-year data from two US regions 随着时间的推移，影响远程办公采用的因素的重要性是如何变化的？使用来自美国两个地区的多年数据观察大流行前后的趋势

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-01-31 DOI: 10.1016/j.tbs.2026.101233

Seung Eun Choi , Ilsu Kim , Xinyi Wang , Jason Soria , Patricia L. Mokhtarian

Teleworking, significantly accelerated by the COVID-19 pandemic, has altered traditional work arrangements and commuting habits. To understand factors influencing telework behavior and their changes over time, we examine telework adoption trends using three waves of cross-sectional survey data collected in the springs of 2021–2023 (and including retrospective pre-COVID data) in the Dallas–Fort Worth–Arlington (DFA) and Washington (DC)–Arlington–Alexandria (WAA) regions. We categorize employees into non-teleworkers (NTWers), non-usual teleworkers (NUTWers), and usual teleworkers (UTWers) based on their frequency of full days working from home. Region- and year-specific multinomial logit (MNL) models are constructed to identify factors influencing telework patterns across different pandemic phases. Four groups of influential factors are revealed: those consistent in significance throughout (e.g., education and income), those fading across years (e.g., car-related attitudes), those strengthening over time (e.g., telework attitudes), and those with differential impacts between NUTW and UTW (e.g., household composition). For instance, in WAA, workers with young children were more likely than others to be NUTWers pre- and early-pandemic, but this factor faded in significance in later years. Conversely, the impact of having school-aged children on NUTWing strengthened in the late-pandemic period. Additionally, pro-car ownership attitudes decreased the propensity to UTW throughout the years, though this influence faded late in the pandemic. These findings highlight the dynamic interplay between work-family balance, job characteristics, and attitudes related to telework adoption. The results provide valuable insights for policymakers and employers aiming to optimize flexible work arrangements, refine telework policies, and address future workforce needs.

COVID-19大流行大大加速了远程办公，改变了传统的工作安排和通勤习惯。为了了解影响远程办公行为的因素及其随时间的变化，我们使用2021-2023年春季在达拉斯-沃斯堡-阿灵顿（DFA）和华盛顿(DC) -阿灵顿-亚历山大（WAA）地区收集的三波横断面调查数据（包括回顾性的疫情前数据）来研究远程办公的采用趋势。我们根据员工全天在家工作的频率，将他们分为非远程工作者（NTWers）、非常规远程工作者（NUTWers）和常规远程工作者（UTWers）。构建了特定区域和年份的多项logit （MNL）模型，以确定影响不同大流行阶段远程工作模式的因素。研究揭示了四组影响因素：那些在整个过程中具有一致意义的因素（例如，教育和收入），那些随着时间的推移逐渐减弱的因素（例如，与汽车有关的态度），那些随着时间的推移而增强的因素（例如，远程工作态度），以及那些在NUTW和UTW之间具有不同影响的因素（例如，家庭组成）。例如，在WAA，有幼儿的工人比其他人更有可能在大流行前和早期成为NUTWers，但这一因素在后来的几年里逐渐消失。相反，在大流行后期，有学龄儿童对NUTWing的影响加强了。此外，多年来，支持拥有汽车的态度降低了UTW的倾向，尽管这种影响在大流行后期逐渐消退。这些发现强调了工作与家庭平衡、工作特征和与远程办公采用相关的态度之间的动态相互作用。研究结果为旨在优化灵活工作安排、完善远程办公政策和解决未来劳动力需求的政策制定者和雇主提供了有价值的见解。

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引用次数: 0

Interventions to facilitate long-term travel data collection via smartphones 促进通过智能手机收集长期旅行数据的干预措施

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-02-05 DOI: 10.1016/j.tbs.2026.101249

Anita Lyubenova , Fariya Sharmeen

Smartphone applications used in travel surveys can increasingly detect trip characteristics automatically. However, manual validation and labeling remain necessary, often leading to incomplete data and participant attrition. Continuous incentives − small, frequent rewards for ongoing participation − may improve data completeness by sustaining respondent motivation and engagement. This study examined the effects of economic, gamification, and nudging interventions on the completeness of GPS-based cycling data collected via a mobile app. Three separate time periods with different reward structures were compared: 1) low monetary rewards, 2) high monetary rewards, and 3) gamification elements with nudging applied to a random subset of the sample. Completeness was evaluated using two outcomes: (1) overall trip recording rate and (2) the rate of spatially unchained trips − pairs of recorded trips whose start and end locations did not match, indicating at least one unrecorded trip. Andersen–Gill survival models estimated the change in each outcome during the interventions, adjusting for demographic and behavioral factors. The results indicate that the period with higher economic rewards simultaneously increased the trip recording rate and reduced the rate of unchained trips, indicating improved data completeness as compared to the period with low economic rewards. Gamification significantly reduced the rate of unchained trips but did not increase overall trip recording as compared to the period without gamification, providing only partial evidence of its effectiveness. Nudging had no significant effect on either outcome. These findings contribute to travel behavior research by demonstrating how travel data collection efforts can be improved to incentivize respondent engagement. These findings contribute to travel behavior research by showing how different incentive strategies can improve participant engagement in travel data collection. Methodologically, the study introduces a spatially based approach for assessing the continuity and completeness of GPS-derived travel data.

用于旅行调查的智能手机应用程序可以越来越多地自动检测旅行特征。然而，手工验证和标记仍然是必要的，经常导致数据不完整和参与者流失。持续的激励——对持续参与的小额、频繁的奖励——可以通过维持受访者的动机和参与度来提高数据的完整性。本研究考察了经济、游戏化和推动干预对通过移动应用收集的基于gps的骑行数据完整性的影响。比较了三个不同奖励结构的独立时间段：1)低货币奖励，2)高货币奖励，以及3)游戏化元素与推动应用于随机样本子集。使用两个结果来评估完整性：(1)总体行程记录率和(2)空间非连锁旅行率-记录的旅行对，其开始和结束位置不匹配，表明至少有一次未记录的旅行。安德森-吉尔生存模型估计了干预期间每个结果的变化，调整了人口统计学和行为因素。结果表明，经济奖励较高的时段同时增加了行程记录率，降低了非连锁行程率，表明与经济奖励较低的时段相比，数据完整性有所提高。与没有游戏化的时期相比，游戏化显著降低了未锁出行的比率，但并没有增加总体出行记录，只能提供部分证据证明其有效性。轻推对两种结果都没有显著影响。这些发现通过展示如何改进旅行数据收集工作以激励受访者参与，为旅行行为研究做出了贡献。这些发现通过展示不同的激励策略如何提高参与者在旅行数据收集中的参与度，为旅行行为研究做出了贡献。在方法上，该研究引入了一种基于空间的方法来评估gps衍生旅行数据的连续性和完整性。

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引用次数: 0

Beyond daily travel: understanding shared autonomous vehicle usage behavior across emergency preparedness segments in the United States 超越日常旅行：了解美国应急准备部门的共享自动驾驶汽车使用行为

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-01-23 DOI: 10.1016/j.tbs.2026.101235

Ningzhe Xu , Jun Liu , Steven Jones

Shared Autonomous Vehicles (SAVs) are viewed as a promising next generation mobility solution; however, most existing research has focused on their use in routine daily travel. Individuals’ preferences for using SAVs during emergencies remain largely underexplored. Gaining insight into these preferences is essential for designing effective emergency mobility strategies that can leverage advanced mobility technologies when available. This study investigates SAV usage preferences in emergency contexts across the United States using data from a nationally distributed online survey (N = 1,015). Specifically, the study examines (1) differences in SAV usage preferences between daily and emergency contexts, (2) variations in these preferences across segments defined by emergency preparedness levels, and (3) the factors that influence SAV adoption behavior within each preparedness segment. Methodologically, chi-squared tests were used to assess shifts in SAV usage preferences between contexts, while latent class analysis (LCA) was employed to classify respondents into two preparedness segments: under-prepared and well-prepared. Within each segment, Light Gradient Boosting Machine (LightGBM) models were developed and interpreted using feature importance rankings and partial dependence plots. Findings show increased willingness to use SAVs during emergencies, especially among individuals who were hesitant or unwilling in daily settings. SAV usage preferences also varied by preparedness segment. Several factors, including residential duration, vehicle access, race, and ethnicity, showed consistent effects across groups, while others, such as land use, household with children, home ownership, and household size, displayed divergent patterns. These results highlight the moderating role of preparedness in SAV adoption and caution against directly applying daily-use assumptions to emergency contexts. Policy efforts should consider preparedness-based segmentation to support effective SAV deployment during emergencies.

共享自动驾驶汽车（sav）被视为有前途的下一代出行解决方案；然而，大多数现有的研究都集中在日常旅行中的使用。个人在紧急情况下使用sav的偏好在很大程度上仍未得到充分研究。深入了解这些偏好对于设计有效的应急机动战略至关重要，这些战略可以在可用时利用先进的机动技术。本研究使用来自全国分布的在线调查数据（N = 1,015）调查了美国紧急情况下SAV的使用偏好。具体而言，该研究考察了(1)日常和紧急情况下SAV使用偏好的差异，(2)这些偏好在应急准备水平定义的不同部门之间的变化，以及(3)影响每个准备部门内SAV采用行为的因素。方法学上，卡方检验用于评估不同背景下SAV使用偏好的变化，而潜在类别分析（LCA）用于将受访者分为两个准备部分：准备不足和准备充分。在每个片段中，使用特征重要性排序和部分依赖图开发和光梯度增强机（LightGBM）模型并进行解释。研究结果显示，在紧急情况下使用sav的意愿增加，特别是在日常环境中犹豫不决或不愿使用sav的个人中。SAV的使用偏好也因准备阶段而异。有几个因素，包括居住时间、车辆进出、种族和民族，在不同群体中表现出一致的影响，而其他因素，如土地使用、有孩子的家庭、房屋所有权和家庭规模，则表现出不同的模式。这些结果强调了准备在SAV采用中的调节作用，并告诫不要直接将日常使用假设应用于紧急情况。政策努力应考虑基于准备情况的分割，以支持紧急情况下有效的SAV部署。

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引用次数: 0

Post-commute self-assessed work performance 下班后自我评估工作表现

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-02-11 DOI: 10.1016/j.tbs.2026.101256

Andie Heck , Hisham Negm , Nancy A. Ross , Ahmed El-Geneidy

Commuting can have immediate and long-term impacts on employees’ behaviour and motivations at work. This study focuses on the self-assessed impact of commute mode on multiple aspects of work performance, namely energy and productivity at work, and punctuality in getting to work. Using large-scale national data (N = 6,671) from the Canadian Mobility Survey conducted in Fall 2024 across 12 metropolitan regions, we conduct weighted logistic regression models that investigate each self-assessed work performance aspect. We use three data subsets based on region population size (large, mid-size, and small). Our models account for main travel mode, commute duration, motivations for mode choice, and sociodemographic factors. For all three subsets, we find that active commuters (pedestrians and cyclists) are the most likely to express positive impacts of commuting on energy and productivity at work, followed by car users. Meanwhile, bus, streetcar, LRT, and BRT users are the least likely to express such results. Car users have a higher likelihood of expressing punctuality to work compared to pedestrians and transit users in all three subsets. Longer commute durations are associated with negative impacts on all three work performance measures, especially punctuality.

Takeaway for practice

Our study underscores that commuting is not a neutral transition between home and work but an influential factor in work performance. Investment in infrastructure that supports active transport and high-quality transit that is fast and comfortable can promote positive performance at work.

通勤会对员工的行为和工作动机产生直接和长期的影响。本研究侧重于自我评估通勤模式对工作绩效的多个方面的影响，即工作中的能量和生产力，以及准时上班。利用2024年秋季在12个大都市地区进行的加拿大流动性调查的大规模国家数据（N = 6,671），我们进行了加权逻辑回归模型，调查了每个自我评估的工作绩效方面。我们使用基于区域人口规模的三个数据子集（大、中、小）。我们的模型考虑了主要的出行方式、通勤时间、模式选择的动机和社会人口因素。对于这三个子集，我们发现活跃的通勤者（行人和骑自行车的人）最有可能表达通勤对精力和工作效率的积极影响，其次是汽车使用者。与此同时，公交、有轨电车、轻轨和BRT用户最不可能表达这种结果。在所有三个子集中，与行人和公共交通用户相比，汽车用户表达准时上班的可能性更高。较长的通勤时间对所有三项工作绩效指标都有负面影响，尤其是准时性。我们的研究强调，通勤并不是家庭和工作之间的中性过渡，而是影响工作表现的一个因素。投资基础设施，支持主动交通和快速舒适的高质量交通，可以促进积极的工作表现。

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引用次数: 0

The new geography of work and mobility: Behavioural, spatial and sectoral dynamics of telework during and after COVID-19 工作和流动的新地理：2019冠状病毒病期间和之后远程工作的行为、空间和部门动态

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-07-01 Epub Date: 2026-02-09 DOI: 10.1016/j.tbs.2026.101253

Lina Zhou , Jifeng Dai , Wenyong Sun , Tianren Yang

The COVID-19 pandemic triggered a rapid expansion of telework, reshaping commuting patterns and urban mobility, yet its sectoral and spatial dynamics in rapidly developing megacities remain insufficiently understood. This study introduces an operational framework that integrates large-scale location-based services (LBS) mobility data with official employment statistics to measure telework transitions in Shenzhen, China, from 2019 to 2022. Results show an initial 14.5% surge in frequent telework that stabilised at 9% above pre-pandemic levels, with pronounced divergence across industries: skilled scalable service sectors sustained elevated telework adoption, whereas manufacturing and consumer-facing industries largely returned to onsite work. Spatially, telework persistence concentrated in central business districts and knowledge-intensive clusters, consolidating a more monocentric hybrid-work geography. Regression models reveal strong associations between telework uptake and sociodemographic factors, commuting distance, and built-environment features such as amenity density, mixed land use and high-rise development. Moderation analysis further shows that industry composition amplifies or attenuates built-environment influences, reinforcing sector-specific telework feasibility. By integrating mobility-derived behavioural indicators with urban form and sectoral structures, this study provides a transferable analytical framework for monitoring hybrid work in data-scarce contexts and offers globally relevant insights for transport planning, mixed-use development and the governance of post-pandemic work–travel transitions.

2019冠状病毒病大流行引发了远程办公的迅速扩张，重塑了通勤模式和城市流动性，但其在快速发展的特大城市中的部门和空间动态仍未得到充分了解。本研究引入了一个运营框架，该框架将大规模基于位置的服务（LBS）移动数据与官方就业统计数据相结合，以衡量2019年至2022年中国深圳的远程工作转型。结果显示，远程办公频率最初激增14.5%，稳定在比疫情前水平高9%的水平，各行业之间存在明显差异：熟练的可扩展服务部门远程办公采用率持续上升，而制造业和面向消费者的行业则大部分回归现场工作。在空间上，远程办公持续集中在中央商务区和知识密集型集群，巩固了更单一的混合工作地理。回归模型显示，远程办公与社会人口因素、通勤距离和建筑环境特征（如宜居密度、混合土地利用和高层开发）之间存在密切关联。适度分析进一步表明，行业构成放大或减弱了建筑环境的影响，增强了特定行业的远程办公可行性。通过将流动性衍生的行为指标与城市形态和部门结构相结合，本研究为监测数据匮乏背景下的混合工作提供了一个可转移的分析框架，并为交通规划、混合用途开发和大流行后工作-出行过渡的治理提供了全球相关见解。

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