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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 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
IF 3.9 Q2 TRANSPORTATION 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.
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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 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 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 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。
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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 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
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 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
Evaluating the accessibility of collective fixed-route paratransit service in developing cities: A case study of Djibouti 评估发展中城市集体固定路线辅助交通服务的可及性:吉布提案例研究
IF 3.9 Q2 TRANSPORTATION Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101270
Moktar Ibrahim Omar , Kemal Selçuk Öğüt
This study provides a comprehensive evaluation of accessibility for collective fixed-route paratransit services in Djibouti, examining current conditions through diverse data sources, including geographic information systems and household surveys. The proposed accessibility model considers walking time, waiting time, and coverage ratio. It correlates the decrease in accessibility based on walking time with the reduction in paratransit ridership. To assess the impact of waiting time, the model compares an acceptable waiting time (5 min) with the average waiting time of the service. A threshold walking time of 8 min defines the service coverage area. Results indicate that the collective fixed-route service covers only 39.49% of the city’s urban area. Although accessibility is higher in the city center, the outskirts face substantial accessibility gaps. This analysis not only reveals the spatial distribution of accessibility within the city but also highlights areas with urgent improvement needs. The study includes paratransit accessibility maps with color-coded levels of accessibility across the city. These findings contribute to the growing research on paratransit accessibility, emphasizing the integration of spatial and temporal factors for enhanced urban mobility planning. The insights from this research can support evidence-based policy-making and promote sustainable urban development in the region.
本研究通过地理信息系统和住户调查等多种数据来源,对吉布提集体固定路线辅助交通服务的可达性进行了全面评估,并对当前状况进行了研究。建议的可达性模型考虑了步行时间、等待时间和覆盖率。该模型将基于步行时间的可达性下降与辅助公交乘客减少联系起来。为了评估等候时间的影响,该模型将可接受的等候时间(5 分钟)与服务的平均等候时间进行了比较。8 分钟的步行时间阈值定义了服务覆盖范围。结果表明,固定路线集体服务仅覆盖了该市市区面积的 39.49%。虽然市中心的可达性较高,但郊区面临着巨大的可达性差距。这项分析不仅揭示了市内无障碍环境的空间分布,还突出了急需改善的区域。研究还包括辅助交通无障碍地图,该地图用颜色标示了整个城市的无障碍程度。这些研究结果有助于促进对辅助公交可达性的研究,强调了空间和时间因素的整合,以加强城市交通规划。这项研究的洞察力可为循证决策提供支持,并促进该地区的可持续城市发展。
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引用次数: 0
Using crowd-sourced traffic data and open-source tools for urban congestion analysis 利用众包交通数据和开源工具进行城市拥堵分析
IF 3.9 Q2 TRANSPORTATION Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101261
Khaula Alkaabi , Mohsin Raza , Esra Qasemi , Hafsah Alderei , Mazoun Alderei , Sharina Almheiri
Traffic congestion in urban areas poses significant challenges to city dwellers and consultants advising government. This study explores innovative methods to monitor and control traffic congestion, focusing on Al Ain city in the United Arab Emirates. Using the R Programming language and harnessing crowdsourced traffic information from HERE and Google Maps, the research delves into spatial data analysis. The methodology employed in this study builds on the previously applied congestion modeling methods for cities like Windsor, Toronto, and New York. The study focuses on Al Ain, addressing the scarcity of crowdsourced information-based congestion modeling research in the Middle East. The study details how to obtain and deploy crowdsourced traffic data, speed and jam factors, for a comprehensive visualization of the urban traffic congestion. For example, in the case of Al Ain, analysis showed an average traffic speed of 43 km per hour in Al Ain, where infrastructure could otherwise allow an average traffic speed of up to 51 km per hour under free flow conditions. The study findings highlight how traffic conditions, rather than speed limits, cause traffic flow disruptions in the city, which can inform traffic regulations. The study’s high-confidence real-time data emphasizes the reliability of crowdsourced traffic flow data. This research demonstrates the applicability of open-source traffic information for congestion modeling in the UAE, and establishes a replicable methodology for other urban areas worldwide, contributing significantly to the modeling methods.
城市地区的交通拥堵给城市居民和政府顾问带来了巨大挑战。本研究以阿拉伯联合酋长国的艾因市为重点,探索监测和控制交通拥堵的创新方法。本研究使用 R 编程语言,利用 HERE 和谷歌地图的众包交通信息,深入研究空间数据分析。本研究采用的方法借鉴了之前应用于温莎、多伦多和纽约等城市的拥堵建模方法。本研究重点关注艾因,以解决中东地区基于众包信息的拥堵建模研究稀缺的问题。研究详细介绍了如何获取和部署众包交通数据、速度和拥堵因素,以实现城市交通拥堵的全面可视化。例如,以艾因为例,分析表明艾因的平均车速为每小时 43 公里,而在自由流动条件下,基础设施允许的平均车速可达每小时 51 公里。研究结果凸显了交通条件而非速度限制是如何导致城市交通流量中断的,这可以为交通法规提供参考。该研究的高可信度实时数据强调了众包交通流数据的可靠性。这项研究证明了开源交通信息对阿联酋交通拥堵建模的适用性,并为全球其他城市地区建立了可复制的方法,对建模方法做出了重大贡献。
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引用次数: 0
The impact of urban form on the relationship between vehicle miles traveled and air pollution
IF 3.9 Q2 TRANSPORTATION Pub Date : 2024-11-01 DOI: 10.1016/j.trip.2024.101288
Nicole S. Ngo , Zhenpeng Zou , Yizhao Yang , Edward Wei
In the past century, there have been major shifts in the built and natural environment across the U.S. as urban areas grow to accommodate larger urban populations. Yet, there is little research on how these changes in urban form could affect an important relationship in transportation and health: vehicle miles traveled (VMT) and air pollution. For example, studies show urban areas typically have a higher building density, which can trap in more air pollution relative to rural or open spaces where pollution can disperse more widely. A lack of detailed data on VMT, as well as methodological challenges have made assessing this relationship difficult. To address this, we use a quasi-experimental framework and a unique dataset to examine how a dramatic change in vehicle miles traveled (VMT) during the COVID-19 pandemic affected air pollution and if or how urban form moderated this relationship. We use detailed county-level daily VMT and air quality data in the contiguous U.S. between January and August 2020. Our results show statistically significant positive correlations between VMT and air pollution in urban counties, but in rural counties the marginal effect of VMT on air pollution was either statistically insignificant or very small. Results from this study suggest that efforts to reduce the marginal impact of VMT or vehicle emissions in urban areas could lead to a greater improvement in air quality when compared to more rural counties due to the built environment.
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引用次数: 0
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Transportation Research Interdisciplinary Perspectives
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