Research in Transportation Economics最新文献_第7页

Addressing transport disadvantages in regional and rural areas through integrated mobility services 通过综合交通服务解决区域和农村地区的交通劣势

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-10-14 DOI: 10.1016/j.retrec.2025.101650

Haoning Xi , John D. Nelson , Corinne Mulley , David A. Hensher , Chinh Ho , Camila Balbontin

This paper explores mobility barriers and the impact of transport disadvantage on vulnerable individuals (such as the elderly, disabled, and low-income) in regional and rural areas. Qualitative analysis is conducted using the data collected from community group discussions in three regional towns in New South Wales (NSW), Australia, and identifies a significant gap in the literature concerning the potential for integrated mobility solutions to address mobility barriers of the transport-disadvantaged in regional and rural settings. Our findings highlight the need to strive for the “gold standard” including better infrastructure, integration of services, increased safety, comfort, and convenience, and greater availability, affordability, and flexibility of mobility services. The insights from the discussions suggest that integrated mobility solutions, have significant potential to ameliorate these barriers, improve the quality of life and promote social inclusion for rural populations. The paper provides policy implications on improving the appeal and adoption of integrated mobility solutions more generally in regional and rural settings.

本文探讨了区域和农村地区的流动性障碍和交通劣势对弱势群体（如老年人、残疾人和低收入者）的影响。定性分析是利用从澳大利亚新南威尔士州（NSW）三个区域城镇的社区小组讨论中收集的数据进行的，并确定了文献中关于综合交通解决方案的潜力的重大差距，以解决区域和农村环境中交通劣势人群的交通障碍。我们的研究结果强调，需要努力实现“黄金标准”，包括改善基础设施、整合服务、提高安全性、舒适性和便利性，以及提高移动服务的可用性、可负担性和灵活性。从讨论中得出的见解表明，综合流动性解决方案在改善这些障碍、提高农村人口的生活质量和促进社会包容方面具有巨大潜力。本文提供了在区域和农村环境中更广泛地提高综合移动解决方案的吸引力和采用的政策含义。

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引用次数: 0

Examining parking preferences with private autonomous vehicles using random forest and logit models: the case of commuters to central Melbourne 使用随机森林和logit模型研究私人自动驾驶汽车的停车偏好：以墨尔本市中心的通勤者为例

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-10-16 DOI: 10.1016/j.retrec.2025.101651

Allan Pimenta , Liton (Md) Kamruzzaman , Fuad Huda , Graham Currie

Private autonomous vehicles (PAVs) have the potential to significantly reduce the demand for parking spaces and costs in urban centres through their self-driving capabilities to find free or cheaper parking options elsewhere. Yet, limited research has examined how factors such as residential location, residential parking type, and workplace parking payment type (e.g., self-paid or employer-paid) influence PAV parking choices and associated empty-cruising vehicle-kilometres travelled (VKT). This study addresses these gaps using survey data collected from 526 commuters driving to Central Melbourne, Australia. We employ both random forest (RF) and multinomial logistic regression (MNL) models to investigate factors influencing different parking options. The MNL results show that commute time, household composition, residential parking type, region, age, housing type, and walking time are key determinants of preferences for sending PAVs home. Meanwhile, education, household composition, region, and car ownership influence preferences for free suburban parking. These results align with RF model importance rankings, where commute time (19 %) and household composition (11 %) were the top predictors. Additionally, sending vehicles home could generate 13 % more VKT compared to current commuter patterns. These findings have implications for managing future CBD parking supply, regulating empty cruising, and shaping land use and pricing strategies for PAV-era mobility.

私人自动驾驶汽车（pav）具有自动驾驶功能，可以在其他地方找到免费或更便宜的停车位，因此有可能大幅减少城市中心对停车位的需求和成本。然而，有限的研究已经调查了诸如住宅位置、住宅停车类型和工作场所停车支付类型（例如，自费或雇主付费）等因素如何影响PAV停车选择和相关的空巡航车辆行驶公里（VKT）。这项研究利用从526名开车前往澳大利亚墨尔本中部的通勤者中收集的调查数据来解决这些差距。本文采用随机森林（RF）和多项逻辑回归（MNL）模型来研究不同停车选择的影响因素。MNL结果表明，通勤时间、家庭组成、住宅停车类型、地区、年龄、住房类型和步行时间是决定自动驾驶汽车返家偏好的关键因素。同时，教育程度、家庭构成、地区和汽车保有量影响人们对郊区免费停车的偏好。这些结果与RF模型的重要性排名一致，其中通勤时间（19%）和家庭组成（11%）是最重要的预测因素。此外，与目前的通勤模式相比，将车辆送回家可以多产生13%的VKT。这些发现对管理未来CBD的停车供应、调节空车巡航以及为pav时代的交通制定土地使用和定价策略具有重要意义。

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引用次数: 0

Variations in value of travel time savings on express lanes: Evidence from passively collected data 快速通道上节省的旅行时间价值的变化：来自被动收集数据的证据

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-11-18 DOI: 10.1016/j.retrec.2025.101671

Shihan Lin , Erika Spissu , Cinzia Cirillo

This paper investigates preference heterogeneity in the Value of Travel Time Savings (VTTS) among Express Lane (EL) users, highlighting how VTTS varies across individuals. The study contributes to the literature by demonstrating how travel demand modeling can be effectively conducted using a large, high-resolution dataset that integrates transponder-based Express Lane usage with travel time savings derived from probe vehicle data. VTTS is estimated through a trip generation model, where the dependent variable is trip frequency.

To address the absence of user-specific socio-demographic characteristics and to capture the full spectrum of preference heterogeneity, the study employs three advanced ordered logit models: the generalized ordered logit (GOL), the heteroskedastic ordered logit (HOL), and the latent class ordered logit (LCOL). Results reveal substantial heterogeneity in user preferences. Notably, infrequent Express Lane users demonstrate a higher willingness to pay for time savings compared to regular commuters, suggesting that EL usage patterns reflect deeper differences in value perception.

By identifying nuanced user segments and their evolving preferences, this study offers actionable insights for transportation agencies, planners, toll operators, and policymakers. The findings support the development of dynamic tolling and incentive-based strategies that are responsive to user diversity.

本文研究了快速通道（EL）用户出行时间节省价值的偏好异质性，重点分析了不同个体之间的差异。该研究通过展示如何使用大型高分辨率数据集有效地进行旅行需求建模，从而为文献做出了贡献，该数据集将基于应答器的快速车道使用情况与探测车辆数据节省的旅行时间相结合。通过一个行程生成模型来估计VTTS，该模型的因变量为行程频率。为了解决用户特定社会人口特征的缺失问题，并捕捉偏好异质性的全部范围，本研究采用了三种先进的有序logit模型：广义有序logit （GOL）、异方差有序logit （HOL）和潜在类别有序logit （LCOL）。结果揭示了用户偏好的实质性异质性。值得注意的是，与经常通勤的人相比，不经常使用快速通道的用户表现出更高的为节省时间而付费的意愿，这表明，快速通道的使用模式反映了价值感知的更深层次差异。通过识别细微差别的用户群体及其不断变化的偏好，本研究为交通运输机构、规划者、收费运营商和政策制定者提供了可操作的见解。研究结果支持根据用户多样性制定动态收费和基于奖励的战略。

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引用次数: 0

The volatility in shipping market: Relationship between container freight rates and inflation 航运市场波动：集装箱运价与通货膨胀的关系

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-11-19 DOI: 10.1016/j.retrec.2025.101674

Ling Sun , Yuqing Wang , Yanbin Yang , Yuxuan Xiong

The COVID-19 pandemic has triggered pronounced fluctuations in the shipping market, complicating decisions on freight rate setting, capacity allocation, and investment planning. Understanding how inflation influences container shipping is therefore essential for shipping companies seeking to anticipate market changes more accurately. This study examines the nonlinear relationship between container freight rates and inflation, focusing on the China–Europe route and the China–North America West Coast route. To ensure robust results, the analysis incorporates three control variables: port congestion index, container trade index, and container fleet growth. The findings reveal an inverted N-shaped relationship between inflation and freight rates, with two inflection points demarcating shifts in the direction of the effect: inflation exerts a positive influence within the range between the two points but a negative influence outside it. The inflection points observed in this study are higher for the United States compared to Europe, likely due to differences in economic performance and monetary policy. These results highlight the need for shipping companies to adapt their operational and pricing strategies based on the specific economic conditions of the regions in which they operate.

新冠肺炎疫情引发航运市场剧烈波动，使运价设定、运力分配和投资规划等决策复杂化。因此，了解通货膨胀如何影响集装箱运输对于寻求更准确地预测市场变化的航运公司至关重要。本文以中国-欧洲航线和中国-北美西海岸航线为研究对象，探讨了集装箱运价与通货膨胀之间的非线性关系。为了确保稳健的结果，分析纳入了三个控制变量：港口拥堵指数、集装箱贸易指数和集装箱船队增长。研究结果揭示了通货膨胀和运费之间的倒n型关系，两个拐点划分了影响方向的变化：通货膨胀在两个拐点之间的范围内产生积极影响，但在这两个拐点之外产生消极影响。本研究中观察到的美国的拐点高于欧洲，可能是由于经济表现和货币政策的差异。这些结果突出表明，航运公司需要根据其经营所在地区的具体经济条件调整其业务和定价战略。

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引用次数: 0

Navigating haze: Assessing the effect of transboundary haze on households’ choice of transportation mode during the school run 雾霾导航：评估跨境雾霾对家庭上学期间交通方式选择的影响

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-11-30 DOI: 10.1016/j.retrec.2025.101677

Michelle H. Lee , Hui Le Yong

Singapore is affected by transboundary haze events, where adverse health effects from particulate pollutants exposure instigate individuals to take protective measures. Transport policymakers are concerned how individuals might change their commuting behaviours to reduce outdoor air exposure— specifically, switching from “open” transport modes (walking, etc.) where commuters may be required to wait for transit or travel the last mile outdoors, to “closed” transport modes (point-to-point private transport). Such trends make efforts to reduce reliance on private transport more challenging. We assess the effect that knowledge of an impending haze event has on parents' transport mode decisions for their primary school child's school commute. We exploit a randomized experiment embedded within a survey to tease out the incremental effect of varying transboundary haze severity (Band 2: Elevated, Band 3: High, Band 4: Very High) on parents' preference to send their child to school via “closed” transport modes. We find that while haze increases parents' motivation to switch to “closed” modes of transportation, the effect is not linear. Our findings have implications for transport mode utilization beyond haze to all aspects of environmental harms, as households grow increasingly aware and concerned about the interaction of transportation and health outcomes.

新加坡受到跨界雾霾事件的影响，接触颗粒污染物对健康产生不利影响，促使个人采取保护措施。交通政策制定者关注的是个人如何改变他们的通勤行为以减少室外空气暴露——具体来说，从“开放式”交通模式（步行等）转变为“封闭式”交通模式（点对点私人交通），因为通勤者可能需要等待过境或在户外走最后一英里。这种趋势使减少对私人交通的依赖的努力更具挑战性。我们评估了即将到来的雾霾事件对家长为小学生上学通勤选择交通方式的影响。我们利用一项调查中的随机实验，梳理出不同跨境雾霾严重程度（2级：高，3级：高，4级：非常高）对家长选择“封闭”交通方式送孩子上学的增量影响。我们发现，虽然雾霾增加了家长转向“封闭”交通方式的动机，但这种效果不是线性的。随着家庭越来越意识到并关注交通与健康结果的相互作用，我们的研究结果对除雾霾之外的交通方式利用以及环境危害的各个方面都有影响。

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引用次数: 0

Understanding heterogeneous preferences of physically disabled people for wheelchair-accessible express bus: Towards equitable public transportation 了解残障人士对轮椅无障碍快速巴士的不同偏好：迈向公平的公共交通

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-10-23 DOI: 10.1016/j.retrec.2025.101653

Doosun Hong, Sunghoon Jang

This study explores the heterogeneous adoption preferences of physically disabled people for the introduction of wheelchair-accessible express bus in intercity travel. A face-to-face stated choice experiment for physically disabled people was conducted in South Korea, where significant policy efforts have been made to enhance adoption of wheelchair-accessible express bus. A latent class mixed logit incorporating panel effect was applied to explore inter- and intra-personal heterogeneity in the preferences. The results indicate that both inter- and intra-personal heterogeneity are statistically significant. The inter-personal heterogeneity was discontinuously separated into the classes by some socio-demographics, disability grade, and their intention to increase the number of intercity travel, affecting their value of travel time, then the continuously distributed personal heterogeneity is significantly observed in all the classes. The results further show that the adoption probability is higher in the group with a lower value of travel time. On average, the adoption probabilities are more sensitive to increased travel time or decreased travel cost of the wheelchair-accessible express bus.

本研究探讨残障人士在城际交通中对轮椅无障碍快速巴士的异质选择偏好。韩国进行了一项面向身体残疾人士的面对面陈述选择实验，并在政策上做出了重大努力，以促进轮椅无障碍快速巴士的采用。采用包含面板效应的潜在类别混合logit来探讨偏好的个人间和个人内异质性。结果表明，个体间和个体内的异质性均具有统计学意义。个体间异质性被社会人口特征、残疾程度、增加城际出行次数的意愿等因素不连续地划分为不同的等级，个体间异质性在各等级均呈显著的连续分布。结果进一步表明，出行时间越小的群体被采用的概率越高。平均而言，采用概率对增加出行时间或降低出行成本更为敏感。

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引用次数: 0

The spillover effects of trade policy uncertainty on the shipping industry 贸易政策不确定性对航运业的溢出效应

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-10-31 DOI: 10.1016/j.retrec.2025.101656

Yanhui Chen , Chujun Chen , Kaniz Fatema, Jackson Jinhong Mi

The United States' recent reciprocal tariffs have created great uncertainty for the global trade. This paper studies the spillover effect of trade policy uncertainty (TPU) on the whole shipping industry in quantiles and frequencies. Through wavelet coherence analysis, this paper quantifies the time lags of TPU's propagations, revealing that short-term (1–2 weeks) chaos dominates initial responses, while mid- (2–26 weeks) and long-term (>26 weeks) effects underpin market adaptation and structural adjustments. Then, the BK-frequency model further demonstrates that positive spillovers from TPU to various shipping variables, such as freight-rate indices and vessel prices, emerge after two weeks and intensify over six months. Moreover, under extreme TPU drops, the long-term (>26 weeks) spillover effect on the shipping system becomes more pronounced, highlighting the restored confidence among industry practitioners following the easing of trade tensions. Finally, considering current industry practices, the direction of trade policy after the 90-day suspension period is pivotal, as it coincides with the peak season for container shipping, potentially driving a decrease in freight rates amid new tariffs and inventory shortfalls. The research benefits industry stakeholders and policymakers in taking targeted measures to cope with the impact of trade policy changes at the right time.

美国最近的互惠关税给全球贸易带来了很大的不确定性。本文从分位数和频率上研究了贸易政策不确定性对整个航运业的溢出效应。通过小波相干分析，量化了TPU传播的时间滞后，发现短期（1-2周）混沌主导了初始响应，而中期（2-26周）和长期（>；26周）效应支撑了市场适应和结构调整。然后，bk频率模型进一步证明，TPU对各种航运变量（如运价指数和船舶价格）的正溢出效应在两周后出现，并在六个月内加剧。此外，在TPU极端下降的情况下，对航运系统的长期（26周）溢出效应变得更加明显，突显了贸易紧张局势缓解后行业从业者信心的恢复。最后，考虑到目前的行业惯例，90天暂停期后的贸易政策方向至关重要，因为它恰逢集装箱运输旺季，在新关税和库存不足的情况下，可能会推动运费下降。该研究有利于行业利益相关者和政策制定者在适当的时候采取有针对性的措施来应对贸易政策变化的影响。

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引用次数: 0

Effects of a train fare subsidy program on the daily walking steps of prime-aged adults: A randomized controlled trial of the Senboku Rapid Railway 火车票价补贴计划对壮年成年人每日步行步数的影响：仙部快速铁路的随机对照试验

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-09-25 DOI: 10.1016/j.retrec.2025.101639

Haruka Kato , Kaoru Hanaie , Kenta Nakagawa

This study aimed to examine the effect of a train fare subsidy program on daily walking steps. In addition, this study investigated the steps of the following subgroups: prime-aged adults (20–49 years old), middle-aged adults (50–64 years old), and older adults (≥65 years old). This study's research design was a 7-week randomized controlled trial of 900 participants who used the HealthSmart-Senboku smartphone application. This study subsidized the intervention group with either 2000 or 1000 points, which could be exchanged for digital train tickets worth JPY 2000 or JPY 1000 on the Senboku Rapid Railway. The participants were assigned to the control group or two intervention groups, with 300 participants per group. The primary outcomes were daily walking step data that were automatically recorded by the application. The results revealed that participants of all ages did not significantly change their daily walking steps at the 5 % significance level. Moreover, the intervention group (subsidized by 1000 points) significantly increased daily walking steps by 711.43 [–162.36, 1585.23] steps/day for prime-aged adults (p value = 0.048). Our findings suggest the effectiveness of a program coupled with train fare subsidies to promote active travel, with a focus on prime-aged adults.

本研究旨在检验火车票价补贴计划对每日步行步数的影响。此外，本研究还调查了以下亚组的步骤：壮年（20-49岁）、中年（50-64岁）和老年人（≥65岁）。这项研究的研究设计是一项为期7周的随机对照试验，共有900名参与者使用HealthSmart-Senboku智能手机应用程序。本研究对干预组分别给予2000或1000积分的补贴，积分可兑换价值2000日元或1000日元的仙佛高铁数字火车票。参与者被分为对照组或两个干预组，每组300人。主要结果是应用程序自动记录的每日步行步数数据。结果显示，在5%的显著性水平上，所有年龄段的参与者都没有显著改变他们的日常步行步数。干预组（补贴1000分）显著增加壮年成人每日步行步数711.43[-162.36,1585.23]步/天（p值= 0.048）。我们的研究结果表明，与火车票补贴相结合的计划是有效的，可以促进积极出行，重点关注黄金年龄的成年人。

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引用次数: 0

The impact of employer-provided car coverage policies on urban spatial structure and commuting behavior 雇主提供汽车覆盖政策对城市空间结构和通勤行为的影响

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-10-30 DOI: 10.1016/j.retrec.2025.101659

Gökhan Güven

Employer-provided cars have become a standard mode of transportation worldwide, particularly for commuting. In most cases, company cars are considered fringe benefits, with a full package covering all internal travel costs (fuel, tolls, parking, etc.) paid by the employer. However, employers increasingly exclude these nonessential costs and offer only limited coverage packages to employees as a cost-cutting measure. This study analyzes the effects of different coverage policies on urban spatial structure, travel behavior, and residential location preferences under two different congestion management technologies (standard and bottleneck) and labor market structures (locally efficient and inefficient). Limited coverage with standard congestion tolling results in clustered economic activities and populations for both labor market structures. However, limited coverage with bottleneck congestion tolling can cause urban sprawl and more dispersed home locations, mainly due to constant trip costs, given that employers redistribute the surplus in the mobility budget (income effect). This study highlights the policy implications of urban fringe growth and downtown decline.

雇主提供的汽车已经成为世界范围内的一种标准交通方式，尤其是在通勤方面。在大多数情况下，公司的汽车被认为是附带福利，包括所有内部旅行费用（燃料，通行费，停车等）由雇主支付。然而，雇主越来越多地排除这些不必要的成本，只向员工提供有限的保险计划，作为削减成本的措施。本文分析了在两种不同拥堵管理技术（标准和瓶颈）和劳动力市场结构（局部高效和非高效）下，不同覆盖政策对城市空间结构、出行行为和居住区位偏好的影响。标准拥堵收费的覆盖范围有限，导致经济活动和劳动力市场结构的人口聚集。然而，考虑到雇主重新分配流动性预算的盈余（收入效应），有限的瓶颈拥堵收费覆盖范围可能导致城市蔓延和更分散的家庭位置，这主要是由于恒定的出行成本。这项研究强调了城市边缘增长和市中心衰落的政策含义。

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引用次数: 0

Thinking fast, slow delivery: nudging sustainable choices among Gen Z consumers 思考快速，缓慢的交付：推动Z世代消费者的可持续选择

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-12-01 Epub Date: 2025-11-12 DOI: 10.1016/j.retrec.2025.101657

Kathleen Cauwelier, Heleen Buldeo Rai, Koen Mommens

Online grocery shopping with doorstep delivery is reshaping everyday decisions, often prioritising speed and convenience at the cost of higher transport emissions. Consumer choices are therefore central to promoting sustainability in this context. Grounded in the SHIFT model, this study explores how nudging strategies can promote sustainable behaviour among Generation Z consumers. Drawing on behavioural insights from Kahneman's book ‘Thinking, Fast and Slow’, which investigates how subtle cues influence decision-making. Two online surveys using a randomized experimental design tested nine nudging strategies. Among these, financial penalties and eco-label prompts proved most effective in encouraging slower delivery choices. Participants with prior pro-environmental awareness were less inclined to choose an express delivery, while older Gen Z respondents (closer to 30) tended to favour express delivery regardless of the nudge, suggesting that lifestyle differences shape responsiveness to nudges. These findings indicate that the success of a nudge depends not only on its design but also on consumers' prior awareness and demographic profiles. By focusing on the underexplored Generation Z segment and comparing a diverse range of nudges, this study contributes to behavioural research and offers actionable insights for retailers and policymakers aiming to reduce the environmental impact of last mile delivery.

在线购物和上门配送正在重塑日常决策，通常以更高的运输排放为代价，优先考虑速度和便利。因此，在这种情况下，消费者的选择对促进可持续性至关重要。本研究以SHIFT模型为基础，探讨了推动策略如何促进Z世代消费者的可持续行为。卡内曼在《思考，快与慢》一书中研究了微妙的线索是如何影响决策的。两项使用随机实验设计的在线调查测试了九种助推策略。其中，经济处罚和生态标签提示在鼓励选择较慢的交付方式方面被证明是最有效的。先前具有环保意识的参与者不太倾向于选择快递，而年龄较大的Z世代受访者（接近30岁）倾向于选择快递，而不管是否有推动，这表明生活方式的差异决定了他们对推动的反应。这些发现表明，轻推的成功不仅取决于它的设计，还取决于消费者先前的意识和人口统计资料。通过关注未被充分开发的Z世代群体，并比较各种各样的推动因素，本研究有助于行为研究，并为旨在减少最后一英里配送对环境影响的零售商和政策制定者提供可操作的见解。

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引用次数: 0