Travel Behaviour and Society最新文献_第7页

Augmenting last-mile connectivity with multimodal transport: Do choice riders favor integrated bike taxi-bus service in metro cities? 利用多式联运加强最后一英里的连接：自选乘客是否青睐地铁城市的自行车出租车公交一体化服务？

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-11-01 DOI: 10.1016/j.tbs.2024.100938

Munavar Fairooz Cheranchery , M.G. Karthika , N. Firoz

While the pursuit of sustainable measures to arrest private vehicle usage and externalities continues, poor last-mile connectivity remains a major deterrent for choice riders (car owners) considering the use of public transport. The present study proposes an integrated Bike Taxi-Bus Service (BTBS) system as a solution to last-mile connectivity concerns and investigates the perception of choice riders towards BTBS. The research was carried out in two Indian metro cities, tier 1 (Bangalore) and tier 2 (Kochi), where bike taxi and bus services operate independently, albeit without integration. The study investigates the perception of choice riders in two stages. Firstly, to identify key intervention areas for the development of an integrated BTBS system. Secondly, to develop econometric models for the estimation of choice riders’ Willingness to Pay (WTP) for BTBS attributes and their potential shift in demand towards BTBS. Additionally, a sensitivity analysis was conducted to explore the influence of various attributes on demand shift and to establish appropriate attribute levels to attract choice riders. While intervention areas are identified using Revised Importance Satisfaction Analysis (Revised ISA), Mixed Logit (ML) models are developed to estimate demand and WTP values. Unlike previous studies, intervention areas are identified using factor structure and management schemes. The study demonstrates the application of Revised ISA in attribute selection for econometric modelling. The work identified 50% of the listed attributes as intervention areas and notably higher WTP values of choice riders for BTBS attributes. This indicates the promise of BTBS while emphasizing the need for urgent attention.

尽管人们一直在寻求可持续的措施来减少私家车的使用和外部效应，但最后一英里连接不畅仍然是阻碍自选乘车者（车主）考虑使用公共交通的一个主要因素。本研究提出了一个综合自行车出租车-公交车服务（BTBS）系统，作为最后一英里连接问题的解决方案，并调查了自选乘车者对 BTBS 的看法。研究在印度的两个一线城市（班加罗尔）和二线城市（高知）进行，这两个城市的自行车出租车和公交车服务虽然没有整合，但各自独立运营。研究分两个阶段调查了选择骑车者的看法。首先，确定发展综合 BTBS 系统的关键干预领域。其次，建立计量经济学模型，估算自选乘客对 BTBS 系统属性的支付意愿（WTP）以及他们对 BTBS 系统的潜在需求转移。此外，还进行了敏感性分析，以探讨各种属性对需求转移的影响，并确定吸引自选乘客的适当属性水平。在使用修订的重要性满意度分析（修订的 ISA）确定干预区域的同时，还开发了混合 Logit（ML）模型来估算需求和 WTP 值。与以往研究不同的是，干预区域是通过因素结构和管理方案确定的。该研究展示了修订版 ISA 在计量经济学模型属性选择中的应用。这项工作确定了 50%的所列属性为干预区域，而且选择 BTBS 属性的骑行者的 WTP 值明显更高。这表明了 BTBS 的前景，同时也强调了亟需关注的问题。

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引用次数: 0

New insights into factors affecting the severity of autonomous vehicle crashes from two sources of AV incident records 从两种自动驾驶汽车事故记录来源了解影响自动驾驶汽车碰撞严重性的新因素

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-30 DOI: 10.1016/j.tbs.2024.100934

Hanlong Fu , Shi Ye , Xiaowen Fu , Tiantian Chen , Jinhua Zhao

Superior safety is the main banner value of promoting autonomous vehicle (AV) technology, but it is difficult to responsibly claim it. The potential for AVs to reduce crash and injury risks would be overshadowed by technological limitations, regardless of their ability to mitigate or eliminate human error. This study aims to identify the key factors affecting crash severity by analyzing real-world AV crash data from the U.S. between 2015 and 2022. We integrated two open data sources from the California DMV and NHTSA. Mixed multinomial logit models incorporating the interaction effects were estimated using the crash severity level, addressing the observed and unobserved heterogeneities. Our results show that Advanced Driver Assistance System (ADAS) engagement is associated with a higher likelihood of slight injury crashes, whereas Automated Driving System (ADS) engagements show the opposite effect. In addition, we found that various environmental and road factors, including lighting conditions, weather, road type, and road surface conditions, significantly affect the severity of AV crashes. For instance, daylight conditions contribute to a lower likelihood of slight-injury crashes. On the other hand, driving under unfavorable weather conditions (cloudy, foggy, rainy, or snowy), on the highway, and on non-dry road surfaces are associated with an increase in the likelihood of severe injury crashes. Furthermore, several significant interaction effects were revealed. First, the mitigating effect of ADS engagement on the likelihood of slight injury crashes is reduced by the rear-end collision type. Second, the likelihood of slight injury crashes increases when AV interacts with heavy trucks on highways. Third, the likelihood of severe injuries increases when AVs collide with Vulnerable Road Users (VRUs) on urban streets. Overall, this research is expected to provide policymakers and AV manufacturers with valuable insights into AV safety, stressing that addressing the identified factors will lead to improved AV design and control algorithms.

卓越的安全性是推广自动驾驶汽车（AV）技术的主要旗帜价值，但很难负责任地宣称这一点。无论自动驾驶汽车能否减轻或消除人为失误，其降低碰撞和伤害风险的潜力都会因技术限制而黯然失色。本研究旨在通过分析 2015 年至 2022 年期间美国真实世界的自动驾驶汽车碰撞数据，找出影响碰撞严重程度的关键因素。我们整合了加州车管局和美国国家公路交通安全管理局的两个开放数据源。使用碰撞严重程度估算了包含交互效应的混合多叉对数模型，解决了观察到的和未观察到的异质性问题。我们的结果表明，高级驾驶辅助系统（ADAS）的使用与发生轻伤碰撞事故的可能性较高有关，而自动驾驶系统（ADS）的使用则显示出相反的效果。此外，我们还发现各种环境和道路因素，包括照明条件、天气、道路类型和路面状况，都会对视听碰撞事故的严重程度产生重大影响。例如，在日光条件下发生轻伤碰撞事故的可能性较低。另一方面，在不利的天气条件下（阴天、雾天、雨天或下雪天）、在高速公路上以及在不干燥的路面上驾驶时，发生严重受伤车祸的可能性会增加。此外，还发现了几种重要的交互效应。首先，追尾碰撞类型会降低 ADS 对轻伤碰撞可能性的缓解作用。其次，当自动驾驶汽车与高速公路上的重型卡车发生交互作用时，轻伤碰撞的可能性会增加。第三，在城市道路上，当自动驾驶汽车与易受伤害的道路使用者（VRU）发生碰撞时，严重受伤的可能性会增加。总之，这项研究有望为政策制定者和自动驾驶汽车制造商提供有关自动驾驶汽车安全的宝贵见解，并强调解决已确定的因素将有助于改进自动驾驶汽车的设计和控制算法。

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引用次数: 0

Enhancing transport mode classification benchmark by integrating spatial independence with multimodal dataset 通过将空间独立性与多模式数据集相结合，提高交通模式分类基准

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-29 DOI: 10.1016/j.tbs.2024.100929

Martina Erdelić , Tonči Carić , Tomislav Erdelić , Ivana Šemanjski

The transport network is a complex system that benefits from detailed data on user mobility. Analyzing user trajectories through clustering or classification methods can provide valuable insights into mobility patterns. Extracting transport modes from these trajectories using classification methods enhances the understanding of user mobility. The complexity of classification methods varies, with some classifying a few transport modes, such as walking, running, bicycling, and driving. In contrast, others classify up to seven modes or use private, unpublished datasets. A key challenge in transport mode classification is ensuring the comparability of different methods across various contexts. Additionally, comparing results is further complicated by the insufficient use of existing standardized benchmark, which in the case of transport mode classification, must contain a structured testing framework and a dataset on which the testing will be conducted. This research introduces a process for collecting data to develop a new transport mode classification dataset. The goal is to enhance the benchmark by evaluating classification methods across diverse traffic patterns and geographic areas, thereby assessing their spatial independence. Spatial independence is crucial because it ensures that classification methods remain accurate regardless of geographic variations. This improves comparability by enabling consistent evaluation of methods across regions, as the improved benchmark addresses spatial independence and ensures robustness for real-world deployment. The current benchmark in literature examines three types of independence: user, position, and time independence. Our tests employ a multilevel method based on Transition State Matrices (TSMs) and the Random Forest (RF) algorithm for transport mode classification. The results demonstrate that the multilevel method maintains spatial independence and achieves higher accuracy compared to the original benchmark problem.

交通网络是一个复杂的系统，用户流动性的详细数据对其大有裨益。通过聚类或分类方法对用户轨迹进行分析，可以为了解移动模式提供宝贵的信息。利用分类方法从这些轨迹中提取交通模式，可以加深对用户流动性的理解。分类方法的复杂程度各不相同，有些只对几种交通模式进行分类，如步行、跑步、骑自行车和开车。相比之下，其他方法最多可对七种交通模式进行分类，或使用未公开的私人数据集。交通模式分类的一个主要挑战是确保不同方法在不同情况下的可比性。此外，由于没有充分利用现有的标准化基准，结果比较变得更加复杂。就交通模式分类而言，标准化基准必须包含结构化测试框架和进行测试的数据集。本研究介绍了收集数据以开发新的交通模式分类数据集的过程。其目的是通过评估不同交通模式和地理区域的分类方法，从而评估其空间独立性，以增强基准。空间独立性至关重要，因为它能确保分类方法不受地理差异的影响，保持准确性。由于改进后的基准解决了空间独立性问题，并确保了实际部署的稳健性，因此能够对不同地区的方法进行一致的评估，从而提高了可比性。目前文献中的基准检验了三种类型的独立性：用户独立性、位置独立性和时间独立性。我们的测试采用了基于过渡状态矩阵（TSM）和随机森林（RF）算法的多层次方法来进行交通模式分类。结果表明，与原始基准问题相比，多层次方法保持了空间独立性，并实现了更高的准确性。

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引用次数: 0

Investigating residents’ leisure needs in Japan: A joint analysis of realized and unrealized leisure trips 日本居民休闲需求调查：对已实现和未实现休闲旅行的联合分析

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-26 DOI: 10.1016/j.tbs.2024.100931

Jianbiao Wang , Tomio Miwa

Leisure activities are closely associated with individuals’ quality of life. In this paper, we are interested in how many leisure trips the individuals have realized and how many trips they schedule but fail to realize due to the inability to accomplish the activity. The realized and unrealized leisure trips are correlated and together constitute leisure needs. To investigate it, a survey was conducted in seven prefectures in Japan. Then, the copula-based bivariate zero-inflated negative binomial model was adopted to explore the influential factors on realized and unrealized leisure trips as well as their potential correlation. The results indicated that individuals living near bus stations tend to have fewer unrealized leisure trips, and people with driving licenses tend always to satisfy their needs and report no unrealized leisure trips. Further, the result confirmed the potential correlation between realized and unrealized leisure trips, but such correlation decreases for seniors. The population share of individuals whose leisure needs are always completely satisfied or never satisfied was also calculated. The study findings provide the policy implications and are conducive to improving the quality of life.

休闲活动与个人的生活质量密切相关。在本文中，我们关注的是个人实现了多少次休闲旅行，以及他们安排了多少次旅行但由于无法完成活动而未能实现。已实现的休闲旅行和未实现的休闲旅行相互关联，共同构成休闲需求。为了研究这个问题，我们在日本七个都道府县进行了调查。然后，采用基于 copula 的二元零膨胀负二项模型，探讨了已实现和未实现休闲旅行的影响因素及其潜在的相关性。结果表明，住在公交车站附近的人往往有较少的未实现休闲旅行，而有驾照的人往往总是能满足自己的需求，没有报告未实现休闲旅行。此外，结果还证实了已实现休闲旅行与未实现休闲旅行之间的潜在相关性，但这种相关性在老年人中有所降低。研究还计算了休闲需求总是得到完全满足或从未得到满足的人口比例。研究结果提供了政策含义，有利于提高生活质量。

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引用次数: 0

Evaluating multimodal transportation’s impact on city attractiveness: A machine learning approach 评估多式联运对城市吸引力的影响：机器学习方法

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-24 DOI: 10.1016/j.tbs.2024.100932

Junmei Cheng , Zhenhua Chen

Intercity transportation infrastructure plays a vital role in promoting urban development by enhancing accessibility. Efficient resource allocation for developing various transportation modes is essential for policymakers. The advent of high-speed rail (HSR) has sparked increased interest in comparing multimodal transportation infrastructures, such as railways, highways, and aviation. Previous studies have examined these systems from multiple perspectives, including cost, operation, modal choice, network structure, and socioeconomic impact. However, their influence on city attractiveness remains unclear. This study aims to address this gap by utilizing machine learning models, including Principal Component Analysis (PCA) and Gradient Boosting Decision Tree (GBDT), to compare the impact of railways, highways, and aviation on city attractiveness. The analysis employs data from 286 prefecture-level cities in China from 2002 to 2018. The results indicate that HSR has a relatively higher importance in predicting city attractiveness compared to highways and aviation, particularly during the rapid development period of HSR from 2008 to 2018 in China. The analysis also reveals the threshold effects of transportation infrastructure on city attractiveness. This study offers valuable insights for policymakers to improve city attractiveness. The findings help prioritize different transportation infrastructures and determine the optimal scale of infrastructure deployment.

城际交通基础设施通过提高可达性，在促进城市发展方面发挥着至关重要的作用。为发展各种交通模式进行有效的资源分配对决策者来说至关重要。高速铁路（HSR）的出现激发了人们对铁路、公路和航空等多式联运基础设施进行比较的兴趣。以往的研究从成本、运营、模式选择、网络结构和社会经济影响等多个角度对这些系统进行了研究。然而，它们对城市吸引力的影响仍不明确。本研究旨在利用机器学习模型（包括主成分分析（PCA）和梯度提升决策树（GBDT））来比较铁路、公路和航空对城市吸引力的影响，从而填补这一空白。分析采用了 2002 年至 2018 年中国 286 个地级市的数据。结果表明，与公路和航空相比，高铁在预测城市吸引力方面具有相对更高的重要性，尤其是在 2008 年至 2018 年中国高铁快速发展时期。分析还揭示了交通基础设施对城市吸引力的门槛效应。本研究为决策者提高城市吸引力提供了宝贵的见解。研究结果有助于确定不同交通基础设施的优先次序，并确定基础设施部署的最佳规模。

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引用次数: 0

Inclusive intervention design for vulnerable road users: Applying co-design and behaviour change model in Bangladesh 针对弱势道路使用者的包容性干预设计：在孟加拉国应用共同设计和行为改变模式

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-23 DOI: 10.1016/j.tbs.2024.100935

M. Shaheen Sarker , Oliver Carsten , Yue Huang , Foroogh Hajiseyedjavadi

In developing countries, it is debatable whether poor design of facilities or violation of traffic rules by road users is the leading cause of pedestrian injuries and deaths. Professionals, pedestrians and drivers tend to blame each other. Shared responsibility for road safety is crucial for protecting vulnerable road users such as commuting students and workers who face higher injury risks while crossing highways. While the Safe System approach emphasises authorities’ responsibility for safe facilities, understanding user needs and promoting behaviour change remain underexplored. This study investigates the current design practices in Bangladesh. It compares the impact of conventional design with co-design on intervention quality and examines the further benefits of integrating a behaviour change model ‘COM-B’.

Local road agency professionals applied the design process and suggested interventions at four highway sites. Subsequently, four focus group sessions were conducted with students and workers, followed by four design workshops. In each workshop, participants were randomly assigned to two design groups (without and with the application of the behaviour change model), where they designed interventions facilitated by professionals. Lastly, perception ratings of stakeholders and safety assessments by four experts were conducted to evaluate the efficacy of all interventions.

The findings highlight major usability problems in conventional designs, while co-designed interventions demonstrate clear improvements. Notably, integrating a behaviour change model further enhances effectiveness. Stakeholder interviews reveal that co-design fosters shared responsibility and addresses the blame culture. The co-design approach and application of the behaviour change model can address design flaws and promote the proper use of facilities.

在发展中国家，究竟是设施设计不当还是道路使用者违反交通规则是造成行人伤亡的主要原因，尚有争议。专业人士、行人和司机往往相互指责。共同承担道路安全责任对于保护弱势道路使用者至关重要，如上下学的学生和工人，他们在穿越高速公路时面临着更高的受伤风险。虽然 "安全系统 "方法强调了当局对安全设施的责任，但对了解用户需求和促进行为改变的研究仍然不足。本研究调查了孟加拉国目前的设计实践。它比较了传统设计和共同设计对干预质量的影响，并研究了整合行为改变模型 "COM-B "的进一步益处。随后，与学生和工人进行了四次焦点小组会议，接着又举办了四次设计研讨会。在每个研讨会上，参与者被随机分配到两个设计小组（未应用行为改变模型和应用行为改变模型），在专业人员的协助下设计干预措施。最后，由四位专家对利益相关者进行感知评级和安全评估，以评价所有干预措施的效果。研究结果突出了传统设计中存在的主要可用性问题，而共同设计的干预措施则有明显改善。值得注意的是，结合行为改变模式可进一步提高有效性。对利益相关者的访谈显示，共同设计促进了责任分担，并解决了指责文化的问题。共同设计方法和行为改变模式的应用可以解决设计缺陷，促进设施的正确使用。

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引用次数: 0

Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida 模拟复合灾害中的疏散活动：佛罗里达东南部飓风艾尔玛的启示

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-23 DOI: 10.1016/j.tbs.2024.100933

Yu Han , Wei Zhai , Pallab Mozumder , Cees van Westen , Changjie Chen

Given the destructive nature of hurricanes in tropical regions, pre-disaster evacuation has emerged as a critical approach for hurricane preparedness. Nevertheless, the compounding effects of natural hazards and the outbreak of infectious diseases, such as Covid-19, significantly challenge hurricane evacuation management. To investigate emergency responses under compound hazards, this study develops an activity-based model to measure the evacuation behaviors of individuals, using Hurricane Irma as a case study. Four scenarios are designed, including a single hurricane hazard, Hurricane Irma compounded with a pandemic like Covid-19, Hurricane Irma compounded with flood damage to the transportation network, and a combination of all these hazards. The metropolis-hasting algorithm is utilized to generate a population with socioeconomic attributes, which is then allocated to census block groups covering Palm Beach, Broward, Miami-Dade, and Monroe Counties in Florida. Datasets from multiple sources are used to measure evacuation decisions, which are subsequently simulated using MATSim. The results highlight the potential impacts of compound hazards on transportation systems, including increased congestions in scenarios involving compounded hurricanes and floods, especially between 10 a.m. and 7p.m. Moreover, a higher proportion of socially vulnerable populations is observed in scenarios involving compounded hurricanes and pandemics, particularly in the Key West area. The developed model could be further applied to measure the indirect impacts of natural hazards on transportation systems.

鉴于热带地区飓风的破坏性，灾前疏散已成为飓风防备的关键方法。然而，自然灾害和传染病（如 Covid-19）爆发的复合效应给飓风疏散管理带来了巨大挑战。为了研究复合灾害下的应急响应，本研究以飓风艾玛为案例，开发了一个基于活动的模型来测量个人的疏散行为。研究设计了四种情景，包括单一的飓风危害、飓风艾尔玛与 Covid-19 等流行病的复合危害、飓风艾尔玛与交通网络遭受洪水破坏的复合危害以及所有这些危害的综合危害。利用 "大都市-持久 "算法生成具有社会经济属性的人口，然后将其分配到覆盖佛罗里达州棕榈滩县、布劳沃德县、迈阿密-戴德县和门罗县的人口普查区组。来自多个来源的数据集用于衡量疏散决策，随后使用 MATSim 对其进行模拟。结果凸显了复合灾害对交通系统的潜在影响，包括在涉及复合飓风和洪水的情况下，特别是在上午 10 点到下午 7 点之间，交通拥堵会加剧。此外，在涉及复合飓风和大流行病的情况下，社会弱势群体的比例会更高，特别是在基韦斯特地区。开发的模型可进一步用于测量自然灾害对交通系统的间接影响。

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引用次数: 0

The landscape of contemporary paratransit research: A critical systematic review of the literature in the US and Canada 当代辅助交通研究的前景：对美国和加拿大文献的批判性系统回顾

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-22 DOI: 10.1016/j.tbs.2024.100930

Theodore Collins , Léa Ravensbergen , Mischa Young

In the United States (US) and Canada, paratransit refers to transportation services that supplement scheduled, fixed route, mass transit to eligible passengers, namely people with disabilities and a growing number of older adults. This paper presents a critical systematic review of the literature on paratransit in the US and Canada since 2010 (n = 57), investigating what is known about paratransit, as well as the methodological and conceptual approaches privileged in this literature. Three separate approaches to the study of paratransit were identified. The first approach is paratransit modeling (n = 22). Under this approach, papers focus on demand modeling and route optimization (n = 12), cost optimization (n = 6), or quality of service and system information management (n = 4). Papers under the second approach, alternatives (n = 15), all propose different ways to provide paratransit services, including public–private partnerships (n = 6), autonomous vehicle technologies (n = 5), and the diversion of current paratransit user toward other modes (n = 4). Thirdly, many papers examine current services (n = 20), relating to system performance (n = 9), operational considerations (n = 7), or user perspectives (n = 4). When combined with a strong bias toward quantitative studies (77%) the perspectives of paratransit users are under-represented in the literature, over-shadowed by a focus on cost-cutting and improving operational efficiency. These trends are discussed in relation to neoliberalism and Critical Ableist Studies. Future research should directly involve paratransit users, engage in theory, and embrace qualitative methods.

在美国和加拿大，准公共交通是指为符合条件的乘客（即残疾人和越来越多的老年人）提供的补充固定路线公共交通的交通服务。本文对 2010 年以来美国和加拿大有关准公共交通的文献（n = 57）进行了批判性的系统回顾，调查了人们对准公共交通的了解程度，以及这些文献中所采用的方法和概念。对准公共交通的研究确定了三种不同的方法。第一种方法是建立准公共交通模型（n = 22）。在这种方法下，论文的重点是需求建模和线路优化（12 篇）、成本优化（6 篇）或服务质量和系统信息管理（4 篇）。第二种方法下的论文，即替代方案（n = 15），都提出了提供辅助公交服务的不同方法，包括公私合作伙伴关系（n = 6）、自动驾驶车辆技术（n = 5），以及将目前的辅助公交用户转向其他模式（n = 4）。第三，许多论文研究了当前的服务（20 篇），涉及系统性能（9 篇）、运营考虑（7 篇）或用户观点（4 篇）。再加上对定量研究的强烈偏好（77%），辅助公交用户的观点在文献中的代表性不足，被对削减成本和提高运营效率的关注所掩盖。这些趋势与新自由主义和批判能力主义研究有关。未来的研究应直接让辅助公交用户参与进来，采用理论和定性方法。

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引用次数: 0

User characteristics and preferences for micromobility use in first- and last-mile journeys in Dublin, Ireland 在爱尔兰都柏林的 "最初一英里 "和 "最后一英里 "行程中使用微型交通的用户特征和偏好

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-19 DOI: 10.1016/j.tbs.2024.100926

Giulia Oeschger , Brian Caulfield , Páraic Carroll

Micromobility and public transport integration is an area of urban mobility that has been increasingly gaining attention and importance. The necessity to provide improvements to public transport services and their spatial reach in order to reduce the number and volume of car trips in cities is irrefutable. The integration of micromobility and public transport is often presented as a valuable strategy to improve door-to-door connectivity and coverage of existing public transport services, via provision of key first- and last-mile or access-egress connections. The aim of this study was to understand and model the propensity of commuters in County Dublin to use micromobility (private and shared) in the first- and last-miles of their public transport journeys. A stated preference experiment was conducted with a focus on these specific segments of the journey and a mixed logit model was estimated to identify user characteristics and preferences based on socio-economic factors, mobility patterns and attitudes towards and previous experience of shared mobility. The results show that, in this particular case study, respondents with a strong walking preference were less likely to be interested in private micromobility and sharing services for the first- and last-mile. A common assumption that walking is a last resort, and only chosen when there are no other options available was not confirmed by the findings of this study. Moreover, competition between the modes showed that private bicycles are the preferred mode after walking, followed by private e-scooters, while shared modes were less likely to be chosen over walking, and shared e-scooters less so than shared bicycles. Overall, the findings suggest that a small percentage of the sample – mainly young (<35 years old) and male respondents with interest in and experience of e-scooters – were interested in using private and shared e-scooters for the first- and last-mile, but that the majority of the respondents were likely to choose walking, albeit with longer travel times overall.

微型交通和公共交通一体化是城市交通的一个领域，日益受到关注和重视。为了减少城市中汽车出行的次数和数量，改善公共交通服务及其空间覆盖范围的必要性是无可辩驳的。微型交通与公共交通的结合通常被视为一种有价值的战略，通过提供关键的 "最初一英里 "和 "最后一英里 "或 "入口-出口 "连接，改善现有公共交通服务的 "门到门 "连接和覆盖范围。本研究旨在了解都柏林郡的通勤者在公共交通出行的前一英里和最后一英里使用微型交通工具（私人和共享）的倾向，并建立相关模型。研究针对这些特定的行程段进行了陈述偏好实验，并根据社会经济因素、交通模式、对共享交通的态度和以往经验估算了混合对数模型，以确定用户的特征和偏好。结果显示，在这一特定案例研究中，对步行有强烈偏好的受访者不太可能对私人微型交通和共享服务的 "最初一英里 "和 "最后一英里 "感兴趣。人们普遍认为步行是最后的选择，只有在没有其他选择时才会选择步行，但本研究的结果并没有证实这一点。此外，各种出行方式之间的竞争表明，私人自行车是仅次于步行的首选出行方式，其次是私人电动滑板车，而共享出行方式比步行更少被选择，共享电动滑板车比共享自行车更少被选择。总体而言，研究结果表明，小部分样本--主要是对电动滑板车感兴趣并有使用经验的年轻人（35 岁）和男性受访者--有兴趣使用私人和共享电动滑板车来完成 "最初一英里 "和 "最后一英里 "的出行，但大多数受访者可能会选择步行，尽管总体出行时间较长。

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引用次数: 0

Heterogeneity in electric taxi charging behavior: Association with travel service characteristics 电动出租车充电行为的异质性：与出行服务特征的关联

IF 5.1 2区工程技术 Q1 TRANSPORTATION

Travel Behaviour and Society

Pub Date : 2024-10-15 DOI: 10.1016/j.tbs.2024.100917

Haiming Cai , Binliang Li , Wu Li , Jian Wang

A comprehensive understanding of charging behaviors among electric vehicle users is crucial for advancing green transportation and deploying effective charging infrastructure. This study conducted large-scale empirical research using data from electric taxi fleets in Shenzhen to explore the heterogeneity of charging behaviors among taxi drivers. The study hypothesized that distinct charging patterns exist within the electric taxi fleet, impacting fleet-wide fluctuations and repetitions of charging and service activities. Employing a covariate-enhanced latent profile analysis model, we examined unique charging patterns within the fleet and investigated relationships between taxi service attributes and charging behavior heterogeneity. Fleet-wide diurnal fluctuations, daily repetitions, and subgroup-specific charging patterns were identified. At the micro level, operational activity sequence similarity and between-group diversity were assessed. The findings offer valuable insights for policymakers and stakeholders involved in promoting green transportation and optimizing charging infrastructure.

全面了解电动汽车用户的充电行为对于推进绿色交通和部署有效的充电基础设施至关重要。本研究利用深圳电动出租车队的数据进行了大规模的实证研究，以探索出租车司机充电行为的异质性。研究假设，电动出租车队内部存在不同的充电模式，影响整个车队充电和服务活动的波动和重复。我们采用协变量增强潜特征分析模型，研究了车队内部独特的充电模式，并调查了出租车服务属性与充电行为异质性之间的关系。我们确定了整个车队的昼夜波动、每日重复和特定亚群的充电模式。在微观层面，评估了运营活动序列的相似性和组间多样性。研究结果为政策制定者和利益相关者在推广绿色交通和优化充电基础设施方面提供了有价值的见解。

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引用次数: 0