Transportation Research Interdisciplinary Perspectives最新文献_第10页

Envisioning sustainable urban mobility in Dublin: Stakeholder perspectives and system dynamics 设想都柏林的可持续城市交通：利益相关者的观点和系统动力学

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101280

Mary Faherty , Gavin McArdle , Pavlos Tafidis

As Dublin is a city grappling with traffic congestion, insufficient transport infrastructure and population growth, it requires a strategic overhaul to foster a resilient, accessible, and environmentally friendly mobility ecosystem. Through 50 semi-structured interviews and a robust thematic analysis approach, this study explores the challenges and solutions to realising a sustainable mobility future for the city. A comprehensive understanding of stakeholders’ views on current challenges, opportunities and the overall direction of transport policy and practice was examined, including the role of technology and community involvement. Seven themes were identified: policy and governance; community and stakeholder participation; infrastructure and resource allocation; innovation and adaptive strategies; data-driven and evidence-based approaches; operational efficiency and effectiveness; and environmental sustainability and health. This paper further investigates these themes and their interconnections using a systems thinking approach, revealing a complex web of feedback loops and leverage points that shape the urban mobility landscape. Our findings highlight the critical role of integrated policy frameworks, community engagement, technological innovations, and a multidisciplinary approach in transitioning towards a more sustainable, efficient, and inclusive urban mobility system. By mapping the intricate interactions between these themes, this study contributes to a deeper understanding of the systemic changes required to enhance sustainable urban mobility in Dublin and offers insights that could inform policy and practice in other urban contexts facing similar challenges.

都柏林是一座正在努力解决交通拥堵、交通基础设施不足和人口增长问题的城市，因此需要进行战略性改革，以建立一个有弹性、方便且环保的交通生态系统。本研究通过 50 个半结构式访谈和强大的主题分析方法，探讨了实现城市可持续交通未来所面临的挑战和解决方案。研究全面了解了利益相关者对当前挑战、机遇以及交通政策和实践总体方向的看法，包括技术和社区参与的作用。研究确定了七个主题：政策与治理；社区与利益相关者的参与；基础设施与资源分配；创新与适应性战略；数据驱动与循证方法；运营效率与效益；以及环境可持续性与健康。本文采用系统思维方法进一步研究了这些主题及其相互联系，揭示了形成城市交通格局的反馈回路和杠杆点的复杂网络。我们的研究结果强调了综合政策框架、社区参与、技术创新和多学科方法在向更具可持续性、效率和包容性的城市交通系统过渡中的关键作用。通过描绘这些主题之间错综复杂的互动关系，本研究有助于加深对都柏林加强可持续城市交通所需的系统性变革的理解，并为其他面临类似挑战的城市提供政策和实践方面的启示。

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引用次数: 0

Design of an intelligent post-diagnosis decision support system for highly automated trucks 高度自动化卡车智能诊断后决策支持系统设计

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101284

Xin Tao , Lina Rylander , Jonas Mårtensson

In recent years, advancements in autonomous driving technologies have accelerated the commercialization of highly automated trucks. This shift away from human drivers raises concerns about the loss of critical functions, particularly in post-diagnosis decision-making, which relies on human inputs in the current practice. This paper outlines the current post-diagnosis decision-making process for human-driven trucks, drawing on insights from industry practitioners, and systematically identifies gaps between these practices and the requirements for highly automated trucks. We propose a comprehensive design of an intelligent decision support system (DSS) to address these gaps. The design includes conducting a system impact analysis to identify new stakeholders, proposing a new DSS architecture with review and learning functions, and concretizing various potentially effective decision-making models and information inputs. Using a real-world freight delivery scenario and a risk-based decision-making approach, we present a case study to instantiate the DSS design, including graphical user interface designs and a step-by-step use case scenario. This work aims to adapt post-diagnosis decision-making for automated trucks at both technological and managerial levels, thereby enhancing vehicle reliability and transport efficiency.

近年来，自动驾驶技术的进步加速了高度自动化卡车的商业化。这种远离人类驾驶员的转变引起了人们对关键功能丧失的担忧，特别是在诊断后决策方面，目前的做法依赖于人类的输入。本文概述了目前人工驾驶卡车的诊断后决策过程，借鉴了行业从业者的见解，并系统地确定了这些实践与高度自动化卡车需求之间的差距。我们提出了一个智能决策支持系统（DSS）的综合设计来解决这些差距。该设计包括进行系统影响分析以识别新的利益相关者，提出具有审查和学习功能的新的决策支持体系结构，并具体化各种可能有效的决策模型和信息输入。使用真实世界的货运场景和基于风险的决策方法，我们提出了一个案例研究来实例化DSS设计，包括图形用户界面设计和一步一步的用例场景。这项工作旨在从技术和管理层面适应自动驾驶卡车的诊断后决策，从而提高车辆的可靠性和运输效率。

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引用次数: 0

Impacts of automated driving on energy demand and emissions in motorway traffic 自动驾驶对高速公路交通能源需求和排放的影响

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101281

Elina Aittoniemi, Teemu Itkonen, Satu Innamaa

Automated Vehicles (AVs) are expected to reduce CO₂ emissions and energy demand of road transportation by mechanisms such as more stable vehicle control, but realisation of these benefits depends on AV deployment and use. Simulation studies have reported a wide range of potential impacts, depending on the driver model and assumptions. Studies have focused on the total impact on CO₂ emissions in specific traffic volume and speed limit conditions and have not separated impacts for different road users. Heavy-duty vehicles (HDVs) have often been omitted entirely. This study assessed the potential impacts of conditionally automated driving on the CO₂ emissions and energy demand of equipped and unequipped passenger cars (MVs) and unequipped HDVs with a systematic approach, covering different speed limits, traffic volumes and AV penetration rates on motorways. The methodology incorporated traffic microsimulation, an emissions calculation tool, and a formula for tractive energy demand. Replacing passenger cars with AVs in traffic simulation affected emissions of all road users, and the magnitude and direction of impacts differed between vehicle types. Whereas average energy demand and CO₂ emissions of AVs were lower in most conditions compared to MVs at baseline, benefits for all vehicle types were seen only at the highest traffic volumes. Changed traffic dynamics can lead to increases in energy demand and emissions of HDVs and MVs already at low AV penetration rates in moderate traffic. Thus, future studies on AV impacts should include more variation in simulated conditions and consider impacts on different vehicle types separately.

自动驾驶汽车（AV）有望通过更稳定的车辆控制等机制，减少道路交通的二氧化碳排放和能源需求，但这些效益的实现取决于自动驾驶汽车的部署和使用。模拟研究报告了广泛的潜在影响，这取决于驾驶员模型和假设。研究侧重于在特定交通流量和限速条件下对二氧化碳排放的总体影响，而没有区分对不同道路使用者的影响。重型车辆（HDV）往往被完全忽略。本研究采用系统方法，评估了有条件自动驾驶对配备和未配备自动驾驶设备的乘用车（MV）以及未配备自动驾驶设备的重型车辆（HDV）的二氧化碳排放和能源需求的潜在影响，涵盖了高速公路上不同的速度限制、交通流量和自动驾驶普及率。该方法结合了交通微观模拟、排放计算工具和牵引能源需求公式。在交通模拟中，用自动驾驶汽车取代乘用车会影响所有道路使用者的排放，不同车辆类型的影响程度和方向也不尽相同。在大多数情况下，自动驾驶汽车的平均能源需求和二氧化碳排放量都低于基线时的中巴车，只有在交通流量最大时，所有车辆类型才会受益。交通动态的变化可能导致在中等交通流量下，低电动汽车渗透率的高密度车和中型车的能源需求和排放增加。因此，未来关于自动驾驶汽车影响的研究应包括更多模拟条件的变化，并分别考虑对不同车辆类型的影响。

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引用次数: 0

Factors influencing restoration time in railways 影响铁路修复时间的因素

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101268

Grace Mukunzi , Emil Jansson , Carl-William Palmqvist

Railway incidents undermine both punctuality and capacity. As traffic volumes increase, the frequency of these incidents is also expected to increase, driven by higher asset utilization, reduced time for maintenance, and further worsened by climate change. This highlights the importance of efficient incident management and corrective maintenance. This study uses a combination of exploratory data analysis and random forest regression to investigate restoration time − a key delimiter of corrective maintenance. Using data from the Swedish railway network, the study investigates the driving factors of restoration times. The maintenance contractor and the type of incident including repair action, failure cause, and the number of concurrent incidents were found to have the highest influence on restoration times respectively. Weather parameters only show discernible influence (both direct and indirect influence) beyond marked thresholds. For the Swedish railway network, these thresholds are −20 °C and 23 °C maximum daily temperatures, 18 mm maximum daily precipitation, and 20 m/s maximum windspeed. Precipitation’s and windspeed’s direct effects become more prominent beyond 50 mm and 35 m/s respectively. An understanding of the factors influencing restoration times informs the process of designing corrective maintenance protocols. Moreover, the method used in this study can be adapted to other railway networks.

铁路事故会影响正点率和运力。随着运输量的增加，这些事故的发生频率预计也会增加，原因是资产利用率提高、维护时间减少，以及气候变化进一步加剧。这凸显了高效事故管理和纠正性维护的重要性。本研究采用探索性数据分析和随机森林回归相结合的方法来研究恢复时间--纠正性维护的关键分界线。研究使用瑞典铁路网的数据，调查了修复时间的驱动因素。研究发现，维修承包商和事故类型（包括维修行动、故障原因和同时发生的事故数量）对修复时间的影响最大。天气参数只在超过标记的临界值时才显示出明显的影响（包括直接和间接影响）。对于瑞典铁路网而言，这些阈值分别为 -20 °C 和 23 °C 的最高日气温、18 毫米的最大日降水量以及 20 米/秒的最大风速。降水和风速的直接影响分别在 50 毫米和 35 米/秒之后变得更加突出。了解影响恢复时间的因素有助于设计纠正性维护方案。此外，本研究采用的方法还可适用于其他铁路网络。

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引用次数: 0

Experiences and perceptions of Multi-Family housing property managers about electric vehicle charging provision 多户住宅物业管理人员对电动汽车充电服务的体验和看法

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101263

Andrea C. Cordova-Cruzatty, David A. King, Michael Kuby, Nathan Parker

To achieve Transportation Electrification goals, electric vehicle (EV) adoption will have to expand well beyond the typical early EV adopters, who tend to be older, better educated, with higher income, multiple household vehicles, and who live in single-family detached homes. EV adoption by residents of multi-unit residential buildings (MURBs) lags far behind, dampening adoption of EVs and potentially creating an equity gap across income and race categories. Semi-structured interviews were conducted with a sample of 30 MURB property managers in the Phoenix metro area to understand how they think about investments in EV charging infrastructure. The interviews were analyzed to identify concerns, constraints, and opportunities to promote faster electric vehicle supply equipment (EVSE) deployment in MURBs, and to understand how deployment dynamics influence equity implications for renters. To do this, the proposed research questions were: 1) What are the perceptions of MURBs managers about charging infrastructure demand and installation? 2) What experiences have MURB managers had regarding installing and/or managing charging infrastructure? and 3) What does the current layout for MURBs complexes look like, and what limitations are there in the existing infrastructure? We found that apartment complexes present financial constraints for charging infrastructure installation when retrofitting charging infrastructure. New business models that can make EV charging profitable are needed, and there are limitations in electrical infrastructure requirements. Access to charging infrastructure presents equity issues among different renter income groups because properties catering to higher-income residents are more inclined to install EVSE compared to rental properties serving lower-income residents.

要实现交通电气化目标，电动汽车（EV）的采用范围必须远远超出典型的早期电动汽车采用者，他们往往年龄较大、受教育程度较高、收入较高、拥有多辆家用汽车，并且居住在单户独立式住宅中。多单元住宅楼（MURBs）居民的电动汽车采用率远远落后，阻碍了电动汽车的采用，并可能造成不同收入和种族的公平差距。我们对菲尼克斯都会区的 30 名多单元住宅楼物业管理人员进行了半结构式访谈，以了解他们对电动汽车充电基础设施投资的看法。通过对访谈内容的分析，我们确定了促进电动汽车供电设备（EVSE）在市镇街区更快部署的关注点、制约因素和机遇，并了解了部署动态如何影响租房者的公平性。为此，提出了以下研究问题1) 市镇街区管理者对充电基础设施的需求和安装有何看法？2）MURBs 管理者在安装和/或管理充电基础设施方面有哪些经验？我们发现，在改造充电基础设施时，公寓楼群在安装充电基础设施方面存在资金限制。需要新的商业模式来使电动汽车充电有利可图，而且电力基础设施的要求也有局限性。充电基础设施的使用在不同租户收入群体中存在公平性问题，因为与为低收入居民提供服务的出租物业相比，为高收入居民提供服务的物业更倾向于安装电动汽车充电设施。

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引用次数: 0

Truck platooning technology diffusion: System dynamics with matching platform consideration 卡车编队技术的推广：考虑匹配平台的系统动力学

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101277

Pooria Choobchian , Bo Zou , Lauryn Spearing

Truck platooning pertains to virtually coupling trucks to cut aerodynamic drag. Despite its many benefits, the dynamics of the trucking industry in adopting this technology is not well understood. In this paper, we investigate the dynamics and particularly the impact of the presence of a matching platform on platooning technology diffusion. On the qualitative side, two positive feedback loops and a larger encompassing feedback loop are unveiled. On the quantitative side, tailored system dynamics models (SDMs) are developed to quantify the feedback loops and technology diffusion evolution. We demonstrate use of the SDMs by applying them to the US trucking industry. We find that having a matching platform can significantly accelerate the platooning technology adoption. The fuel and labor savings also substantially differ with a platform. The findings help inform decision- and policy-making towards more coordinated and beneficial truck platooning technology adoption and operations, thereby improving sustainability of freight transportation.

卡车编队是指实际上将卡车连接在一起，以减少空气阻力。尽管这项技术有很多好处，但人们对卡车运输业采用这项技术的动力却不甚了解。在本文中，我们研究了该技术的动态，尤其是匹配平台的存在对排车技术推广的影响。在定性方面，我们揭示了两个正反馈循环和一个更大的包含性反馈循环。在定量方面，我们开发了量身定制的系统动力学模型（SDM）来量化反馈回路和技术扩散演化。我们将 SDMs 应用于美国的卡车运输业，展示了 SDMs 的用途。我们发现，拥有一个匹配的平台可以大大加快排车技术的采用。有了平台，节省的燃料和劳动力也大不相同。这些发现有助于为决策和政策制定提供信息，使卡车排车技术的采用和运营更加协调和有利，从而提高货运的可持续性。

引用次数: 0

An empirical analysis of Saudi Arabian women’s intentions to adopt hydrogen fuel cell cars 对沙特阿拉伯妇女采用氢燃料电池汽车意向的实证分析

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101269

Yasmeen Ansari , Rohit Bansal , Sanjay Kumar Kar

To successfully execute demand-side tactics for alternative energy, such as hydrogen, it is essential to thoroughly comprehend the preferences and circumstances that stimulate client demand. Thus far, studies have been scarce on female customers’ opinions, intentions, and behaviour towards various products in the Kingdom of Saudi Arabia (KSA). However, no studies have been conducted thus far, specifically on hydrogen fuel cell vehicles (HFCVs). Our study examines the key elements influencing women’s inclination to embrace HFCVs in the KSA. This study utilized an online questionnaire to gather data from 227 prospective female clients, thus conducting empirical research. To ascertain women’s intentions towards hydrogen fuel cell automobiles, we employed a structural equation modelling technique utilizing Smart-PLS 4.1. The findings of our study demonstrate that the perceived advantages, perceived barriers, public opinion, and government initiatives significantly influence the desire of women in Saudi Arabia to use HFCVs. The study suggests that the government should gather all pertinent stakeholders, including vehicle manufacturers, hydrogen producers, research institutes, and organizations, to address the challenges and accelerate the advancement of the hydrogen transportation system.

要成功实施氢气等替代能源的需求方策略，就必须彻底了解刺激客户需求的偏好和环境。迄今为止，有关沙特阿拉伯王国（KSA）女性客户对各种产品的意见、意向和行为的研究还很少。但迄今为止，还没有专门针对氢燃料电池汽车（HFCV）的研究。我们的研究探讨了影响沙特阿拉伯妇女接受氢燃料电池汽车倾向的关键因素。本研究利用在线问卷收集了 227 名潜在女性客户的数据，从而进行了实证研究。为了确定女性对氢燃料电池汽车的意向，我们采用了 Smart-PLS 4.1 结构方程建模技术。我们的研究结果表明，感知到的优势、感知到的障碍、公众舆论和政府举措对沙特阿拉伯妇女使用氢燃料电池汽车的意愿有重大影响。研究建议，政府应召集所有相关利益方，包括汽车制造商、氢气生产商、研究机构和组织，共同应对挑战，加快氢气运输系统的发展。

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引用次数: 0

Into the Nexus of disability, mobility aid and travel Behavior-A Tale from a South Asian City

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101274

Md Musfiqur Rahman Bhuiya , Md Musleh Uddin Hasan , Wanyun Shao

Building a sustainable society and ensuring inclusive urban development must address the transportation needs of persons with disabilities (PWDs). Among PWDs, movement-challenged persons face particularly significant challenges in their daily transportation. Without a proper understanding of the mobility patterns of movement-challenged persons, ensuring the sustainability of the transportation system is impossible. This study aims to explore the mobility patterns of movement-challenged persons in Dhaka, based on a survey of 400 individuals. The findings indicate that walking frame and cane users are more likely to use rickshaws, while wheelchair users prefer traveling by CNG (Compressed Natural Gas) driven vehicles. Walking stick users prioritize door-to-door service when choosing a mode of transport, whereas walking frame/crutch and wheelchair users prioritize convenience. Specifically, movement-challenged persons who use rickshaws and CNGs consider door-to-door service an important factor in their travel mode selection. Survival analysis reveals that wheelchair and walking frame/crutch users are more likely to make shorter trips by walking or wheeling. Statistical modeling indicates that wheelchair users experience longer waiting times and are less inclined to use buses. Additionally, wheelchair users are completely dependent on walking (wheeling) for access and egress, while walking frame/crutch and walking stick users utilize both rickshaws and walking for these purposes. The study provides design and technology-oriented recommendations to improve accessibility of transportation modes for movement-challenged persons.

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引用次数: 0

Drones for automated parcel delivery: Use case identification and derivation of technical requirements 用于自动包裹递送的无人机：用例识别和技术要求的推导

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101253

Simon Zieher , Ertug Olcay , Klaus Kefferpütz , Babak Salamat , Sebastian Olzem , Gerhard Elsbacher , Henri Meeß

Drone-based parcel delivery is a rapidly growing domain posing many technological and operational challenges. Drone technologies have been under increasing levels of investigation and development over the past years. Since the realization of drone-based delivery can only be economically feasible at large scales, it requires processes that address the outstanding challenges holistically. However, the majority of research focuses on individual aspects such as environmental perception, route planning, operational design, and business models without addressing the challenges in the overall system. This paper conducts a quantitative analysis of the requirements for identified use cases that are considered relevant for the upcoming future. We provide a comprehensive technology overview and derive requirements and specifications for the targeted use cases that are not fulfilled by the current state-of-the-art. The use cases are not only related to last-mile delivery but also long-distance (hub-to-hub) logistics as well as courier and express delivery.

无人机包裹递送是一个快速发展的领域，带来了许多技术和操作方面的挑战。在过去几年中，无人机技术的研究和开发水平不断提高。由于实现无人机送货只有在大规模的情况下才具有经济可行性，因此需要全面解决突出挑战的流程。然而，大多数研究都集中在个别方面，如环境感知、路线规划、运营设计和商业模式，而没有解决整个系统面临的挑战。本文对已确定的使用案例的需求进行了定量分析，这些使用案例被认为与即将到来的未来息息相关。我们提供了全面的技术概述，并针对当前最先进技术无法满足的目标用例提出了要求和规范。这些用例不仅涉及最后一英里配送，还包括长途（枢纽到枢纽）物流以及快递和快运。

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引用次数: 0

From the Desk of the Editor: TRIP’s impact factor is 3.9 and CiteScore is 12.9

IF 3.9 Q2 TRANSPORTATION

Transportation Research Interdisciplinary Perspectives

Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101294

Karl Kim (Editor in Chief)

引用次数: 0