Travel Behaviour and Society最新文献_第4页

Licensing delay versus reduced car orientation in Germany: A cohort perspective using panel data 许可延迟与德国汽车定位减少：使用面板数据的队列视角

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2026-01-02 DOI: 10.1016/j.tbs.2025.101225

Nicole Reinfeld, Tobias Hagen

In Germany, the share of driver’s license holders aged 17 to 20 has decreased from 57.4 % in 2012 to 44.1 % in 2025. Since licensing shares serve as an indicator of future travel behavior, it is important to evaluate whether young cohorts in Germany delay or forgo licensing. This paper contributes to the debate on licensing delay versus reduced car orientation by applying discrete-time survival models to the German Mobility Panel (1994–2022) to estimate the determinants of driver’s license acquisition and to disentangle age, period, and cohort (APC) effects. The results showed that age, household composition, education, employment, car ownership, and spatial factors were significant determinants of obtaining a driver’s license. The strongest effect resulted from reaching the legal minimum age for obtaining a driver’s license. Higher costs for driving school, license fees, and car acquisition reduced the probability of obtaining a license. Members of Gen Y and Gen Z had a statistically significantly lower annual licensing probability compared to Baby Boomers at a given age. Cohort differences in out-of-sample predicted probabilities with respect to the timing of obtaining a driver’s license were only significant at age 18. The difference was no longer significant after controlling for further covariates, indicating that differences can be explained by life-course events such as graduating from school. A weaker decline in predicted licensing probabilities across age groups among Gen Y and Gen Z indicates a delayed licensing for a part of the younger generations compared to Gen X.

在德国，17岁至20岁的驾照持有者比例从2012年的57.4%下降到2025年的44.1%。由于许可证份额是未来旅行行为的一个指标，因此评估德国的年轻群体是否推迟或放弃许可证是很重要的。本文通过将离散时间生存模型应用于德国移动面板（1994-2022）来估计驾驶执照获取的决定因素，并解算年龄、时期和队列（APC）效应，从而有助于关于许可延迟与减少汽车定向的辩论。结果表明，年龄、家庭构成、教育程度、就业、汽车保有量和空间因素是获得驾照的重要决定因素。影响最大的是达到获得驾驶执照的法定最低年龄。更高的驾驶学校费用、执照费和购车费用降低了获得执照的可能性。与婴儿潮一代相比，Y世代和Z世代的成员在特定年龄的年度许可概率显著降低。样本外预测概率在获得驾驶执照时间方面的队列差异仅在18岁时显著。在控制了进一步的协变量后，这种差异不再显著，这表明这种差异可以用人生历程中的事件来解释，比如从学校毕业。在Y世代和Z世代中，各年龄组的预测许可概率下降幅度较弱，这表明与X世代相比，部分年轻一代的许可延迟。

{"title":"Licensing delay versus reduced car orientation in Germany: A cohort perspective using panel data","authors":"Nicole Reinfeld, Tobias Hagen","doi":"10.1016/j.tbs.2025.101225","DOIUrl":"10.1016/j.tbs.2025.101225","url":null,"abstract":"<div><div>In Germany, the share of driver’s license holders aged 17 to 20 has decreased from 57.4 % in 2012 to 44.1 % in 2025. Since licensing shares serve as an indicator of future travel behavior, it is important to evaluate whether young cohorts in Germany delay or forgo licensing. This paper contributes to the debate on licensing delay versus reduced car orientation by applying discrete-time survival models to the German Mobility Panel (1994–2022) to estimate the determinants of driver’s license acquisition and to disentangle age, period, and cohort (APC) effects. The results showed that age, household composition, education, employment, car ownership, and spatial factors were significant determinants of obtaining a driver’s license. The strongest effect resulted from reaching the legal minimum age for obtaining a driver’s license. Higher costs for driving school, license fees, and car acquisition reduced the probability of obtaining a license. Members of Gen Y and Gen Z had a statistically significantly lower annual licensing probability compared to Baby Boomers at a given age. Cohort differences in out-of-sample predicted probabilities with respect to the timing of obtaining a driver’s license were only significant at age 18. The difference was no longer significant after controlling for further covariates, indicating that differences can be explained by life-course events such as graduating from school. A weaker decline in predicted licensing probabilities across age groups among Gen Y and Gen Z indicates a delayed licensing for a part of the younger generations compared to Gen X.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101225"},"PeriodicalIF":5.7,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883685","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

Propagating synthetic populations with dynamic Bayesian networks: a framework for long-horizon demographic forecasting 用动态贝叶斯网络传播合成种群：长期人口预测的框架

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-31 DOI: 10.1016/j.tbs.2025.101226

Mohammad Mehdi Oshanreh , Nazmul Arefin Khan , Don MacKenzie

This study presents a dynamic demographic microsimulator using dynamic Bayesian networks to forecast long–term changes in household and individual life events. Leveraging longitudinal Panel Study of Income Dynamics (PSID) data, two networks for individuals and households were modeled to simulate transitions in employment, income, education, marriage, childbirth, leaving the parental home, home ownership, mortality, and household formation or dissolution. Across 1,000 simulation runs spanning 24 years, household–level outcomes remain highly accurate and individual–level predictions reasonable. Although accuracy naturally declines with projection horizon, performance remains promising at both levels. This study addresses a key limitation of existing population synthesis models, which typically generate only a single static snapshot of the population. By introducing a framework that propagates cross-sectional outputs into the future, the microsimulator enables the tracking of demographic evolution over time, enhances realism in population-based simulations, and supplies credible inputs to agent-based travel demand models.

本研究提出一个动态人口微模拟器，使用动态贝叶斯网络来预测家庭和个人生活事件的长期变化。利用收入动态纵向面板研究（PSID）数据，对个人和家庭的两个网络进行建模，以模拟就业、收入、教育、婚姻、生育、离开父母家、房屋所有权、死亡率和家庭组建或解散等方面的转变。在跨越24年的1000次模拟运行中，家庭层面的结果仍然高度准确，个人层面的预测仍然合理。尽管准确率自然会随着投影水平的下降而下降，但在这两个水平上的表现仍然很有希望。这项研究解决了现有人口综合模型的一个关键限制，这些模型通常只生成一个人口的静态快照。通过引入一个将横断面输出传播到未来的框架，微模拟器能够跟踪人口随时间的演变，增强基于人口的模拟的真实性，并为基于代理的旅行需求模型提供可靠的输入。

{"title":"Propagating synthetic populations with dynamic Bayesian networks: a framework for long-horizon demographic forecasting","authors":"Mohammad Mehdi Oshanreh , Nazmul Arefin Khan , Don MacKenzie","doi":"10.1016/j.tbs.2025.101226","DOIUrl":"10.1016/j.tbs.2025.101226","url":null,"abstract":"<div><div>This study presents a dynamic demographic microsimulator using dynamic Bayesian networks to forecast long–term changes in household and individual life events. Leveraging longitudinal Panel Study of Income Dynamics (PSID) data, two networks for individuals and households were modeled to simulate transitions in employment, income, education, marriage, childbirth, leaving the parental home, home ownership, mortality, and household formation or dissolution. Across 1,000 simulation runs spanning 24 years, household–level outcomes remain highly accurate and individual–level predictions reasonable. Although accuracy naturally declines with projection horizon, performance remains promising at both levels. This study addresses a key limitation of existing population synthesis models, which typically generate only a single static snapshot of the population. By introducing a framework that propagates cross-sectional outputs into the future, the microsimulator enables the tracking of demographic evolution over time, enhances realism in population-based simulations, and supplies credible inputs to agent-based travel demand models.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101226"},"PeriodicalIF":5.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883684","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

Driving adoption: Discrete choice modeling of consumer valuation for wireless electric vehicles charging in Aotearoa, New Zealand 驱动采用：新西兰Aotearoa地区无线电动汽车充电消费者评估的离散选择模型

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-30 DOI: 10.1016/j.tbs.2025.101220

Mira Simunic , Mingyue Selena Sheng , Le Wen , Ramesh Chandra Majhi , Prakash Ranjitkar , Bo Du , Minh Kieu , Basil Sharp , Douglas Wilson

This research delves into consumer behavior in the economic domain, particularly focusing on adopting innovative technologies. It assesses the perceived economic and environmental advantages of dynamic wireless power transfer technology, known as dynamic wireless charging. This technology allows electric vehicles to be charged while in motion, which could significantly influence their adoption rates in Aotearoa, New Zealand. The study employs discrete choice modeling to gain insights into consumer valuation of dynamic charging technologies. Various sophisticated logit models were utilized to analyze the data gathered from surveys on consumer preferences rigorously. These models, such as multinomial logit, heteroscedastic logit, and mixed logit, allow for a nuanced understanding of consumer choices by accommodating varying levels of randomness and heterogeneity in decision-making processes. Furthermore, the research investigates the willingness to pay among users, which indirectly measures how much consumers value the ability to charge their vehicles dynamically. The key finding from the study is that the convenience of being able to charge while driving is a significant factor that enhances the adoption of electric vehicles. This indicates that as dynamic wireless charging technology becomes more widespread and accessible, it could be crucial in accelerating the transition towards electric mobility, particularly in contexts where environmental sustainability and technological innovation are prioritized.

这项研究深入研究了经济领域的消费者行为，特别关注创新技术的采用。它评估了被称为动态无线充电的动态无线电力传输技术的经济和环境优势。这项技术允许电动汽车在行驶中充电，这可能会显著影响它们在新西兰奥特罗阿的采用率。本研究采用离散选择模型来深入了解消费者对动态充电技术的评价。利用各种复杂的logit模型对消费者偏好调查收集的数据进行了严格的分析。这些模型，如多项logit、异方差logit和混合logit，通过适应决策过程中不同程度的随机性和异质性，允许对消费者选择进行细致入微的理解。此外，该研究还调查了用户的付费意愿，间接衡量了消费者对汽车动态充电能力的重视程度。这项研究的主要发现是，驾驶时充电的便利性是提高电动汽车普及率的一个重要因素。这表明，随着动态无线充电技术的普及和普及，它可能对加速向电动汽车的过渡至关重要，特别是在环境可持续性和技术创新优先的背景下。

{"title":"Driving adoption: Discrete choice modeling of consumer valuation for wireless electric vehicles charging in Aotearoa, New Zealand","authors":"Mira Simunic , Mingyue Selena Sheng , Le Wen , Ramesh Chandra Majhi , Prakash Ranjitkar , Bo Du , Minh Kieu , Basil Sharp , Douglas Wilson","doi":"10.1016/j.tbs.2025.101220","DOIUrl":"10.1016/j.tbs.2025.101220","url":null,"abstract":"<div><div>This research delves into consumer behavior in the economic domain, particularly focusing on adopting innovative technologies. It assesses the perceived economic and environmental advantages of dynamic wireless power transfer technology, known as dynamic wireless charging. This technology allows electric vehicles to be charged while in motion, which could significantly influence their adoption rates in Aotearoa, New Zealand. The study employs discrete choice modeling to gain insights into consumer valuation of dynamic charging technologies. Various sophisticated logit models were utilized to analyze the data gathered from surveys on consumer preferences rigorously. These models, such as multinomial logit, heteroscedastic logit, and mixed logit, allow for a nuanced understanding of consumer choices by accommodating varying levels of randomness and heterogeneity in decision-making processes. Furthermore, the research investigates the willingness to pay among users, which indirectly measures how much consumers value the ability to charge their vehicles dynamically. The key finding from the study is that the convenience of being able to charge while driving is a significant factor that enhances the adoption of electric vehicles. This indicates that as dynamic wireless charging technology becomes more widespread and accessible, it could be crucial in accelerating the transition towards electric mobility, particularly in contexts where environmental sustainability and technological innovation are prioritized.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101220"},"PeriodicalIF":5.7,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883686","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 waits longer to pick you up? behavioral and spatial inequities in ride-hailing pickup time based on real-world platform data 谁等得更久才来接你？基于真实平台数据的网约车接送时间的行为和空间不平等

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-29 DOI: 10.1016/j.tbs.2025.101224

Jiayan Zhang , Jiao Jiao , Xiang Wang , Inhi Kim , Tianqi Gu

Pickup time at the post-matching stage is a critical but often overlooked dimension of service equity in ride-hailing systems. While existing studies often rely on modeled or inferred estimates of wait time based on distance, traffic conditions, or simulation outcomes, few have access to actual pickup time records linked to real-name ride-hailing transactions. This study draws on a rare, real-world dataset comprising platform-recorded pickup durations and real-name verified driver profiles from Suzhou, China. Using a Geographically Weighted Random Forest (GWRF) model with SHAP interpretation, we examine how pickup responsiveness varies across driver characteristics (gender, age, residency), geography (central vs. peripheral zones), and time (weekday vs. holiday). Our findings show that young, local male drivers tend to achieve faster pickups due to broader geographic coverage and incentive sensitivity, while older, non-local female drivers face slower pickups, especially under uncertain or high-risk conditions. Moreover, spatial and temporal patterns reveal that conventional assumptions—such as the edge disadvantage or vehicle density effects—do not hold uniformly across groups. These findings suggest that pickup time is a socially embedded outcome rather than a purely algorithmic one. Building on this perspective, we propose behavior-aware dispatch strategies, targeted driver support programs, and regulatory design implications aimed at enhancing equity, inclusion, and responsiveness in ride-hailing governance.

在网约车系统中，匹配后阶段的接车时间是服务公平的一个关键因素，但往往被忽视。虽然现有的研究通常依赖于基于距离、交通状况或模拟结果的模型或推断的等待时间估计，但很少有人能够获得与实名叫车交易相关的实际取车时间记录。本研究利用了一个罕见的、真实的数据集，其中包括来自中国苏州的平台记录的取车时间和实名验证的司机资料。使用具有SHAP解释的地理加权随机森林（GWRF）模型，我们研究了不同驾驶员特征（性别、年龄、居住地）、地理位置（中心与外围区域）和时间（工作日与假日）的取车响应性差异。我们的研究结果表明，由于地理覆盖范围更广和激励敏感性，年轻的本地男性司机往往能够更快地接车，而年长的非本地女性司机则面临更慢的接车速度，尤其是在不确定或高风险的情况下。此外，空间和时间模式表明，传统的假设——如边缘劣势或车辆密度效应——在不同的群体中并不一致。这些发现表明，接送时间是一个社会嵌入的结果，而不是纯粹的算法。基于这一观点，我们提出了行为感知调度策略、有针对性的司机支持计划和监管设计启示，旨在提高网约车治理中的公平性、包容性和响应性。

{"title":"Who waits longer to pick you up? behavioral and spatial inequities in ride-hailing pickup time based on real-world platform data","authors":"Jiayan Zhang , Jiao Jiao , Xiang Wang , Inhi Kim , Tianqi Gu","doi":"10.1016/j.tbs.2025.101224","DOIUrl":"10.1016/j.tbs.2025.101224","url":null,"abstract":"<div><div>Pickup time at the post-matching stage is a critical but often overlooked dimension of service equity in ride-hailing systems. While existing studies often rely on modeled or inferred estimates of wait time based on distance, traffic conditions, or simulation outcomes, few have access to actual pickup time records linked to real-name ride-hailing transactions. This study draws on a rare, real-world dataset comprising platform-recorded pickup durations and real-name verified driver profiles from Suzhou, China. Using a Geographically Weighted Random Forest (GWRF) model with SHAP interpretation, we examine how pickup responsiveness varies across driver characteristics (gender, age, residency), geography (central vs. peripheral zones), and time (weekday vs. holiday). Our findings show that young, local male drivers tend to achieve faster pickups due to broader geographic coverage and incentive sensitivity, while older, non-local female drivers face slower pickups, especially under uncertain or high-risk conditions. Moreover, spatial and temporal patterns reveal that conventional assumptions—such as the edge disadvantage or vehicle density effects—do not hold uniformly across groups. These findings suggest that pickup time is a socially embedded outcome rather than a purely algorithmic one. Building on this perspective, we propose behavior-aware dispatch strategies, targeted driver support programs, and regulatory design implications aimed at enhancing equity, inclusion, and responsiveness in ride-hailing governance.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101224"},"PeriodicalIF":5.7,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883803","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

The influencing factors and nonlinear effects on residents’ green space usage behavior patterns: An interpretable machine learning modelling approach 居民绿地使用行为模式的影响因素及非线性效应：可解释的机器学习建模方法

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-27 DOI: 10.1016/j.tbs.2025.101223

Wenyue Yang, Yani Chen

Based on survey data collected in Guangzhou in 2021, this study employs Latent Profile Analysis (LPA) to categorize residents’ green space usage behavior patterns. Subsequently, interpretable XGBoost-SHAP machine learning modeling is employed to analyze the factors and nonlinear effects influencing these patterns. The results indicate that residents’ green space usage behavior patterns can be classified into three categories: “short distance-short duration-high frequency”, “moderate distance-medium duration-regular frequency”, and “long distance-long duration-low frequency”. Residents’ individual socio-demographic attributes, perceived accessibility to green spaces, perceived characteristics of green spaces, neighborhood greenness, and the accessibility to nearby green spaces exert different influencing effects on the three types of green space usage behavior patterns. Among these factors, perceived accessibility to green spaces is the most significant factor. Residents with high perceived accessibility prefer the “short distance-short duration-high frequency” pattern, while those with low perceived accessibility prefer the “long distance-long duration-low frequency” pattern. Among the perceived characteristics of green spaces, high safety and plant diversity drive the “short distance-short duration-high frequency” pattern, while moderate aesthetics and animal diversity encourage the “moderate distance-medium duration-regular frequency” pattern. Low safety and plant diversity, along with high animal diversity, drive the “long distance-long duration-low frequency” pattern. Moreover, neighborhood greenness and the accessibility to nearby green spaces exhibit distinct nonlinear effects on residents’ green space usage behavior patterns.

本研究基于广州市2021年的调查数据，采用潜在剖面分析法（Latent Profile Analysis， LPA）对居民绿地使用行为模式进行分类。随后，采用可解释的XGBoost-SHAP机器学习模型分析影响这些模式的因素和非线性效应。结果表明：居民绿地利用行为模式可划分为“短距离-短持续时间-高频率”、“中等距离-中等持续时间-正常频率”和“远距离-长持续时间-低频率”三类。居民个人社会人口属性、感知绿地可达性、感知绿地特征、邻里绿地度和邻近绿地可达性对三类绿地使用行为模式的影响作用不同。在这些因素中，绿色空间的可达性是最重要的因素。可达性高的居民偏好“距离短-持续时间短-频率高”的模式，可达性低的居民偏好“距离长-持续时间长-频率低”的模式。在绿地感知特征中，高安全性和植物多样性推动了“短距离-短持续时间-高频率”的模式，而适度的美学和动物多样性则促进了“中等距离-中等持续时间-规律频率”的模式。低安全性和植物多样性，以及高动物多样性，驱动了“长距离-长持续时间-低频率”的模式。社区绿化度和邻近绿地可达性对居民绿地使用行为模式具有明显的非线性影响。

{"title":"The influencing factors and nonlinear effects on residents’ green space usage behavior patterns: An interpretable machine learning modelling approach","authors":"Wenyue Yang, Yani Chen","doi":"10.1016/j.tbs.2025.101223","DOIUrl":"10.1016/j.tbs.2025.101223","url":null,"abstract":"<div><div>Based on survey data collected in Guangzhou in 2021, this study employs Latent Profile Analysis (LPA) to categorize residents’ green space usage behavior patterns. Subsequently, interpretable XGBoost-SHAP machine learning modeling isemployedto analyzethe factors and nonlinear effects influencing these patterns. The results indicate that residents’ green space usage behavior patterns can be classified into three categories: “short distance-short duration-high frequency”, “moderate distance-medium duration-regular frequency”, and “long distance-long duration-low frequency”. Residents’ individual socio-demographic attributes, perceived accessibility to green spaces, perceived characteristics of green spaces, neighborhood greenness, and the accessibility to nearby green spaces exert different influencing effects on the three types of green space usage behavior patterns. Among these factors, perceived accessibility to green spaces is the most significant factor. Residents with high perceived accessibility prefer the “short distance-short duration-high frequency” pattern, while those with low perceived accessibility preferthe “long distance-long duration-low frequency” pattern. Among the perceived characteristics of green spaces,high safety and plant diversity drive the “short distance-short duration-high frequency” pattern, while moderate aesthetics and animal diversity encourage the “moderate distance-medium duration-regular frequency” pattern. Low safety and plant diversity, along with high animal diversity, drive the “long distance-long duration-low frequency” pattern. Moreover, neighborhood greenness and the accessibility to nearby green spaces exhibit distinct nonlinear effects on residents’ green space usage behavior patterns.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101223"},"PeriodicalIF":5.7,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839639","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

Adapting to new mobility conditions: Evidence from a Japanese survey on the substitution of in-person mobility with online services for daily necessities 适应新的出行条件：来自日本的一项调查的证据，关于用在线服务替代日常必需品的面对面出行

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-27 DOI: 10.1016/j.tbs.2025.101221

Tomoyuki Yakura , An Minh Ngoc , Yasuhiro Shiomi

The rapid advancement of information and communication technology (ICT) and the COVID-19 pandemic have significantly reshaped mobility patterns worldwide. As a result, many activities have been replaced from in-person activity to online services. However, relatively little attention has been given to understanding people’s willingness to forgo in-person mobility or replace it with online alternatives, particularly in the case of older adults, who often face challenges in using ICT-based services. This study fills this gap by offering insights into how the potential transportation services market would be if people are offered online services for their daily necessities. A stated choice survey of 645 individuals was conducted in Shiga prefecture, Japan, primarily through an online survey of registered panel members, with additional door-to-door distribution and postal returns in areas with lower panel availability. Then, a mixed logit model was estimated to address the research questions. Results indicate older adults are generally willing and able to substitute car travel with public transport, rather than forgo travel altogether when driving is no longer an option. In addition, individuals are willing to substitute in-person mobility with online alternatives under specific conditions. Substitution is more prevalent among those who are tech-savvy, socially supported, or have access to cars. However, in-person mobilities appear to be less replaceable for older adults, likely due to the sensory nature of shopping and the relational quality of social interaction, which online formats fail to replicate. Overall, this study offers policymakers and business domains insights into better understanding the dominant effect of online services in sustaining daily activities and enabling behavioral adaptation, thus facilitating the development of the digital transformation in various aspects of life services.

信息通信技术（ICT）的快速发展和2019冠状病毒病（COVID-19）大流行极大地改变了全球的流动模式。因此，许多活动已经从面对面的活动取代为在线服务。然而，相对而言，很少有人关注人们是否愿意放弃亲自出行或以在线替代方式取而代之，尤其是老年人，他们在使用基于信息通信技术的服务时经常面临挑战。这项研究填补了这一空白，它揭示了如果为人们提供日常必需品的在线服务，潜在的交通服务市场将如何发展。在日本滋贺县对645名个人进行了一项明确的选择调查，主要是通过对注册小组成员的在线调查进行的，在小组可用性较低的地区，还会进行额外的上门分发和邮政退货。然后，估计了一个混合logit模型来解决研究问题。调查结果显示，老年人通常愿意并且能够用公共交通工具代替汽车出行，而不是在开车不再是一种选择时完全放弃出行。此外，在特定条件下，个人愿意用在线替代面对面的移动。替代在那些精通技术、得到社会支持或拥有汽车的人中更为普遍。然而，对于老年人来说，面对面的活动似乎是不可替代的，这可能是由于购物的感官性质和社交互动的关系质量，而在线模式无法复制。总体而言，本研究为政策制定者和商业领域提供了更好的见解，以更好地理解在线服务在维持日常活动和实现行为适应方面的主导作用，从而促进生活服务各方面数字化转型的发展。

{"title":"Adapting to new mobility conditions: Evidence from a Japanese survey on the substitution of in-person mobility with online services for daily necessities","authors":"Tomoyuki Yakura , An Minh Ngoc , Yasuhiro Shiomi","doi":"10.1016/j.tbs.2025.101221","DOIUrl":"10.1016/j.tbs.2025.101221","url":null,"abstract":"<div><div>The rapid advancement of information and communication technology (ICT) and the COVID-19 pandemic have significantly reshaped mobility patterns worldwide. As a result, many activities have been replaced from in-person activity to online services. However, relatively little attention has been given to understanding people’s willingness to forgo in-person mobility or replace it with online alternatives, particularly in the case of older adults, who often face challenges in using ICT-based services. This study fills this gap by offering insights into how the potential transportation services market would be if people are offered online services for their daily necessities. A stated choice survey of 645 individuals was conducted in Shiga prefecture, Japan, primarily through an online survey of registered panel members, with additional door-to-door distribution and postal returns in areas with lower panel availability. Then, a mixed logit model was estimated to address the research questions. Results indicate older adults are generally willing and able to substitute car travel with public transport, rather than forgo travel altogether when driving is no longer an option. In addition, individuals are willing to substitute in-person mobility with online alternatives under specific conditions. Substitution is more prevalent among those who are tech-savvy, socially supported, or have access to cars. However, in-person mobilities appear to be less replaceable for older adults, likely due to the sensory nature of shopping and the relational quality of social interaction, which online formats fail to replicate. Overall, this study offers policymakers and business domains insights into better understanding the dominant effect of online services in sustaining daily activities and enabling behavioral adaptation, thus facilitating the development of the digital transformation in various aspects of life services.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101221"},"PeriodicalIF":5.7,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839578","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

Effects of load state and light conditions on driver takeover performance in a car-two-wheeler risk-state conflict environment 汽车-两轮车风险状态冲突环境下负载状态和光照条件对驾驶员接管行为的影响

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-27 DOI: 10.1016/j.tbs.2025.101222

Lin Hu , Jian Zhang , Jing Huang , Xinghua Wang , Jing Zhao , Pak Kin Wong

With the development of automated driving technology, the safety of driver takeover in risky traffic environments has become a key issue. However, in actual driving, the driver’s internal cognitive state and external environmental factors often interact with each other to jointly affect the takeover performance. To this end, this paper explores the effects of driver load state and light conditions on takeover performance for different car-two-vehicle conflict scenarios at signalized intersections on urban roads. The results show that the nighttime environment amplifies the negative impact of load states on takeover performance. The interaction between load state and light conditions had the greatest effect on the left-straight conflict scenario, and drivers in the left-straight conflict scenario had worse takeover performance and higher collision risk compared to the straight-straight and right-straight conflict scenarios. This study provides an important reference for improving the driver’s takeover performance in the risky traffic environment, which is of great significance for the development and improvement of transportation policies and helps to improve the overall transportation safety.

随着自动驾驶技术的发展，驾驶员在危险交通环境下的接管安全已成为一个关键问题。但在实际驾驶中，驾驶员的内部认知状态和外部环境因素往往相互作用，共同影响接管绩效。为此，本文研究了城市道路信号交叉口不同车-两车冲突场景下驾驶员负载状态和光照条件对接管性能的影响。结果表明，夜间环境放大了负载状态对接管性能的负面影响。负载状态和光照条件的交互作用对左直冲突情景影响最大，左直冲突情景驾驶员的接管行为比直直和右直冲突情景更差，碰撞风险更高。本研究为提高风险交通环境下驾驶员接管行为提供了重要参考，对交通政策的制定和完善具有重要意义，有助于提高整体交通安全水平。

{"title":"Effects of load state and light conditions on driver takeover performance in a car-two-wheeler risk-state conflict environment","authors":"Lin Hu , Jian Zhang , Jing Huang , Xinghua Wang , Jing Zhao , Pak Kin Wong","doi":"10.1016/j.tbs.2025.101222","DOIUrl":"10.1016/j.tbs.2025.101222","url":null,"abstract":"<div><div>With the development of automated driving technology, the safety of driver takeover in risky traffic environments has become a key issue. However, in actual driving, the driver’s internal cognitive state and external environmental factors often interact with each other to jointly affect the takeover performance. To this end, this paper explores the effects of driver load state and light conditions on takeover performance for different car-two-vehicle conflict scenarios at signalized intersections on urban roads. The results show that the nighttime environment amplifies the negative impact of load states on takeover performance. The interaction between load state and light conditions had the greatest effect on the left-straight conflict scenario, and drivers in the left-straight conflict scenario had worse takeover performance and higher collision risk compared to the straight-straight and right-straight conflict scenarios. This study provides an important reference for improving the driver’s takeover performance in the risky traffic environment, which is of great significance for the development and improvement of transportation policies and helps to improve the overall transportation safety.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101222"},"PeriodicalIF":5.7,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839577","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

Independent ageing, climate risks and automobile dependence in the Canadian prairies: Evidence from the Canadian Longitudinal Study on Aging 加拿大大草原的独立老龄化、气候风险和汽车依赖：来自加拿大老龄化纵向研究的证据

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-26 DOI: 10.1016/j.tbs.2025.101213

Jens Kandt , Hong Deng , Michelle M. Porter

We examine older adults’ leisure activities and mobility needs in one of the most automobile dependent regions in the Global North, the Canadian prairies. The motivation is to identify chances of independent ageing and sustainable travel as the region undergoes demographic transition while being subject to increased risk of extreme weather events that disrupt mobility. Using the Canadian Longitudinal Study on Ageing (CLSA), we identify six groups having different profiles of out-of-home leisure activities that seem to be essential to social connectedness and well-being. We analyse to which extent these practices depend on driving and digital technologies. We identify two groups who show strong signs of transport-related social exclusion. These groups do not benefit from digital technology and are subject to a dual mobility and digital divide that is exacerbated in the context of strong automobile dependence. Policy solutions need to be built on a holistic perspective involving municipal planning, digital skill development, transit funding and adaptation measures. Technological solutions, notably autonomous services, are likely to play a minor role in addressing pressing challenges in the Canadian prairies.

我们研究了全球北部最依赖汽车的地区之一，加拿大大草原的老年人的休闲活动和移动需求。其动机是确定独立老龄化和可持续旅行的机会，因为该地区正在经历人口转型，同时受到极端天气事件的影响，这些事件破坏了流动性。利用加拿大老龄化纵向研究（CLSA），我们确定了六个群体，他们有不同的户外休闲活动概况，这些活动似乎对社会联系和幸福至关重要。我们分析了这些实践在多大程度上依赖于驾驶和数字技术。我们确定了两组表现出与交通相关的强烈社会排斥迹象的人群。这些群体没有从数字技术中受益，并且受到双重移动性和数字鸿沟的影响，这种鸿沟在高度依赖汽车的背景下加剧了。政策解决方案需要从整体角度出发，涉及市政规划、数字技能发展、过境融资和适应措施。技术解决方案，特别是自主服务，可能在解决加拿大大草原面临的紧迫挑战方面发挥次要作用。

{"title":"Independent ageing, climate risks and automobile dependence in the Canadian prairies: Evidence from the Canadian Longitudinal Study on Aging","authors":"Jens Kandt , Hong Deng , Michelle M. Porter","doi":"10.1016/j.tbs.2025.101213","DOIUrl":"10.1016/j.tbs.2025.101213","url":null,"abstract":"<div><div>We examine older adults’ leisure activities and mobility needs in one of the most automobile dependent regions in the Global North, the Canadian prairies. The motivation is to identify chances of independent ageing and sustainable travel as the region undergoes demographic transition while being subject to increased risk of extreme weather events that disrupt mobility. Using the Canadian Longitudinal Study on Ageing (CLSA), we identify six groups having different profiles of out-of-home leisure activities that seem to be essential to social connectedness and well-being. We analyse to which extent these practices depend on driving and digital technologies. We identify two groups who show strong signs of transport-related social exclusion. These groups do not benefit from digital technology and are subject to a dual mobility and digital divide that is exacerbated in the context of strong automobile dependence. Policy solutions need to be built on a holistic perspective involving municipal planning, digital skill development, transit funding and adaptation measures. Technological solutions, notably autonomous services, are likely to play a minor role in addressing pressing challenges in the Canadian prairies.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101213"},"PeriodicalIF":5.7,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839638","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

Rethinking the context dependent effects of factors on connecting transport choice at high-speed rail station: Evidence from two cross-sectional surveys during and after COVID-19 pandemic 重新思考高铁站连接交通选择因素的情境依赖效应：来自COVID-19大流行期间和之后的两次横断面调查的证据

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-25 DOI: 10.1016/j.tbs.2025.101219

Zhiyuan Sun , Rui Sun , Zehao Wang , Pengpeng Jiao , Yunxuan Li , Jianyu Wang , Huapu Lu

Individuals’ preferences for connecting transport choice at high-speed rail station have evolved during COVID-19, further resulting in new dynamics after COVID-19. Understanding the shifts in the factors influencing connecting transport choice is vital for effective passenger flow evacuation. However, the influence of most factors is heterogeneous, indicating that these factors exert varying impact under different conditions. This phenomenon presents a challenge in accurately capturing these shifts and developing precise countermeasures designed to promote specific modes of connecting transport. Therefore, this study aimed to investigate the context-dependent effects of factors exhibiting heterogeneity in order to elucidate the underlying causes of heterogeneity and to determine the specific impacts of these factors. Taking Beijing South Railway Station, China, as a case study, two cross-sectional surveys were conducted utilizing an identical questionnaire: one during the pandemic and another following its resolution. Then, an enhanced interpretable machine learning framework based on partially constrained temporal modeling approach was developed to elucidate the context-dependent effects while examining the shifts in these effects. Results show that seven factors marked during COVID-19, as well as fifteen factors marked after COVID-19, were retained by feature selection. Among these factors, paymode, carrying luggage, and distance from the station to the intended destination in Beijing emerged simultaneously during and after the COVID-19 pandemic, indicating that these particular factors emerged as important influences on connecting transport choice than others. Furthermore, it was noted that the effects of six factors demonstrated heterogeneity; specifically, one factor stood out particularly during the COVID-19, while five others were identified after the COVID-19. This suggests that in the post-pandemic era, the influence of various factors on connecting transport choice exhibits distinct characteristics across different conditions.

COVID-19期间，个人对高铁站连接交通选择的偏好发生了变化，并在COVID-19之后进一步形成新的动态。了解换乘方式选择影响因素的变化对有效疏散客流至关重要。然而，大多数因素的影响是异质的，表明这些因素在不同条件下的影响是不同的。这一现象对准确捕捉这些变化并制定旨在促进特定连接运输模式的精确对策提出了挑战。因此，本研究旨在探讨表现异质性的因素的情境依赖效应，以阐明异质性的潜在原因，并确定这些因素的具体影响。以中国北京南站为例，利用相同的问卷进行了两次横断面调查：一次是在大流行期间，另一次是在大流行结束后。然后，开发了基于部分约束时间建模方法的增强可解释机器学习框架，以阐明上下文依赖效应，同时检查这些效应的变化。结果表明，特征选择保留了7个在COVID-19期间标记的因子和15个在COVID-19之后标记的因子。在这些因素中，在新冠肺炎大流行期间和之后，支付方式、携带行李和车站到北京目的地的距离同时出现，表明这些特定因素比其他因素更重要地影响了转机选择。此外，我们注意到六个因素的影响表现出异质性；具体来说，有一个因素在COVID-19期间特别突出，而其他五个因素在COVID-19之后被确定。这表明，在大流行后时代，各种因素对连接交通选择的影响在不同条件下表现出不同的特征。

{"title":"Rethinking the context dependent effects of factors on connecting transport choice at high-speed rail station: Evidence from two cross-sectional surveys during and after COVID-19 pandemic","authors":"Zhiyuan Sun , Rui Sun , Zehao Wang , Pengpeng Jiao , Yunxuan Li , Jianyu Wang , Huapu Lu","doi":"10.1016/j.tbs.2025.101219","DOIUrl":"10.1016/j.tbs.2025.101219","url":null,"abstract":"<div><div>Individuals’ preferences for connecting transport choice at high-speed rail station have evolved during COVID-19, further resulting in new dynamics after COVID-19. Understanding the shifts in the factors influencing connecting transport choice is vital for effective passenger flow evacuation. However, the influence of most factors is heterogeneous, indicating that these factors exert varying impact under different conditions. This phenomenon presents a challenge in accurately capturing these shifts and developing precise countermeasures designed to promote specific modes of connecting transport. Therefore, this study aimed to investigate the context-dependent effects of factors exhibiting heterogeneity in order to elucidate the underlying causes of heterogeneity and to determine the specific impacts of these factors. Taking Beijing South Railway Station, China, as a case study, two cross-sectional surveys were conducted utilizing an identical questionnaire: one during the pandemic and another following its resolution. Then, an enhanced interpretable machine learning framework based on partially constrained temporal modeling approach was developed to elucidate the context-dependent effects while examining the shifts in these effects. Results show that seven factors marked during COVID-19, as well as fifteen factors marked after COVID-19, were retained by feature selection. Among these factors, <em>paymode</em>, <em>carrying luggage</em>, and <em>distance from the station to the intended destination in Beijing</em> emerged simultaneously during and after the COVID-19 pandemic, indicating that these particular factors emerged as important influences on connecting transport choice than others. Furthermore, it was noted that the effects of six factors demonstrated heterogeneity; specifically, one factor stood out particularly during the COVID-19, while five others were identified after the COVID-19. This suggests that in the post-pandemic era, the influence of various factors on connecting transport choice exhibits distinct characteristics across different conditions.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101219"},"PeriodicalIF":5.7,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145822770","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

Miles with smiles: the role of e-cargo bikes in facilitating new personal and family-oriented travel and relevant beyond-utility motivations 微笑里程：电动货运自行车在促进以个人和家庭为导向的新型旅行中的作用，以及相关的超越实用性的动机

IF 5.7 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2025-12-23 DOI: 10.1016/j.tbs.2025.101217

Labib Azzouz , Christian Brand , Noel Cass , Ian Philips

E-cargo bikes (ECBs) can play a crucial role in the transition to sustainable transport. Existing research primarily focuses on ECBs in sharing schemes and urban delivery, with limited attention to domestic use. Most studies emphasize mode substitution, often overlooking motivations unique to ECBs and beyond-utility travel motivations. Critically, little is known about ECBs’ role in generating new travel demand. This study explores how ECBs generate new trips, focusing on individual and household motivations that extend beyond purely utilitarian purposes. Trials were conducted with 49 households across three cities: Leeds, Oxford, and Brighton. A mixed-methods approach was employed, emphasizing qualitative data from interviews and supplemented with quantitative insights from travel diaries.

Findings indicate that ECBs enhanced accessibility, leading to increased travel distance and frequency, and enabling travelers to ‘do more.’ Their capacity to transport children and bulky items unlocked induced and latent demand, facilitating trips that otherwise would not have occurred. Beyond utility, ECBs fostered new solo and family travel shaped by a range of intrinsic motivations. They promoted well-being, offered therapeutic outdoor experiences, disrupted daily routines, and supported personal growth, freedom, and autonomy. Caregivers particularly valued ECBs for the control, spontaneity, and flexibility they provided in managing complex household schedules. Parents’ and children’s enjoyment, curiosity, and sense of adventure encouraged additional travel, transforming routine journeys into playful and memorable family experiences. New ECB travel enhanced family bonding, strengthened intra-household cohesion, and increased children’s willingness to participate in activities that might otherwise have been resisted. Households used ECBs to cultivate sustainable travel identities, model pro-environmental behaviors, and instill active mobility norms in children.

The paper reframes induced demand and advances research on travel behavior and motivations. It provides valuable insights for policymakers, researchers, and societies, positioning ECBs as a distinct mode in the transition to sustainable mobility.

电动货运自行车（ECBs）可以在向可持续交通的过渡中发挥至关重要的作用。现有的研究主要集中在共享计划和城市运输中的ECBs，对家庭使用的关注有限。大多数研究强调模式替代，往往忽略了欧洲央行独有的动机和超越效用的旅行动机。关键是，人们对欧洲央行在创造新的旅游需求方面所起的作用知之甚少。本研究探讨了ecb如何产生新的旅行，重点关注超越纯粹功利目的的个人和家庭动机。试验在三个城市的49个家庭中进行：利兹、牛津和布莱顿。采用混合方法，强调来自访谈的定性数据，并辅以来自旅行日记的定量见解。研究结果表明，ecb增强了可达性，导致旅行距离和频率增加，并使旅行者“做更多的事情”。他们运送儿童和大件物品的能力释放了潜在的需求，为原本不会发生的旅行提供了便利。除了实用性之外，欧洲央行还催生了由一系列内在动机塑造的新的个人和家庭旅行。它们促进了幸福感，提供了治疗性的户外体验，打乱了日常生活，并支持了个人成长、自由和自主。照顾者特别重视ecb，因为它们在管理复杂的家庭安排时提供了控制性、自发性和灵活性。父母和孩子的享受、好奇心和冒险感鼓励了额外的旅行，将常规旅行转变为有趣和难忘的家庭体验。欧洲央行的新旅行增强了家庭纽带，加强了家庭内部凝聚力，并提高了儿童参与活动的意愿，否则这些活动可能会受到抵制。家庭使用ecb来培养可持续的旅行身份，示范亲环境行为，并向儿童灌输积极的移动规范。本文重构了诱导需求，推进了旅游行为和动机的研究。它为政策制定者、研究人员和社会提供了有价值的见解，将ecb定位为向可持续交通过渡的独特模式。

{"title":"Miles with smiles: the role of e-cargo bikes in facilitating new personal and family-oriented travel and relevant beyond-utility motivations","authors":"Labib Azzouz , Christian Brand , Noel Cass , Ian Philips","doi":"10.1016/j.tbs.2025.101217","DOIUrl":"10.1016/j.tbs.2025.101217","url":null,"abstract":"<div><div>E-cargo bikes (ECBs) can play a crucial role in the transition to sustainable transport. Existing research primarily focuses on ECBs in sharing schemes and urban delivery, with limited attention to domestic use. Most studies emphasize mode substitution, often overlooking motivations unique to ECBs and beyond-utility travel motivations. Critically, little is known about ECBs’ role in generating new travel demand. This study explores how ECBs generate new trips, focusing on individual and household motivations that extend beyond purely utilitarian purposes. Trials were conducted with 49 households across three cities: Leeds, Oxford, and Brighton. A mixed-methods approach was employed, emphasizing qualitative data from interviews and supplemented with quantitative insights from travel diaries.</div><div>Findings indicate that ECBs enhanced accessibility, leading to increased travel distance and frequency, and enabling travelers to ‘do more.’ Their capacity to transport children and bulky items unlocked induced and latent demand, facilitating trips that otherwise would not have occurred. Beyond utility, ECBs fostered new solo and family travel shaped by a range of intrinsic motivations. They promoted well-being, offered therapeutic outdoor experiences, disrupted daily routines, and supported personal growth, freedom, and autonomy. Caregivers particularly valued ECBs for the control, spontaneity, and flexibility they provided in managing complex household schedules. Parents’ and children’s enjoyment, curiosity, and sense of adventure encouraged additional travel, transforming routine journeys into playful and memorable family experiences. New ECB travel enhanced family bonding, strengthened intra-household cohesion, and increased children’s willingness to participate in activities that might otherwise have been resisted. Households used ECBs to cultivate sustainable travel identities, model pro-environmental behaviors, and instill active mobility norms in children.</div><div>The paper reframes induced demand and advances research on travel behavior and motivations. It provides valuable insights for policymakers, researchers, and societies, positioning ECBs as a distinct mode in the transition to sustainable mobility.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101217"},"PeriodicalIF":5.7,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145822774","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