International Journal of Sustainable Transportation最新文献_第2页

Evolutionary game analysis between government and driver—based on the carbon emission trading market for road freight transport 基于道路货运碳排放交易市场的政府与驾驶员演化博弈分析

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-02-01 Epub Date: 2025-10-09 DOI: 10.1080/15568318.2025.2570323

Yanan Li , Yanyan Chen , Tao Feng , Yifei Gong

The carbon emission trading system is considered as an effective tool for reducing emissions of road freight transport. As key participants in the carbon emission trading market for road freight transport, the strategies and behaviors of both the government and drivers play a crucial role in determining the effectiveness of emission reduction efforts. In the context of the carbon emission trading market for road freight transport, this paper developed an evolutionary game model between government and drivers. To identify the key factors influencing the strategic choices of government and drivers, the dynamic evolutionary paths of government and drivers under different scenarios were simulated. The results indicated that the initial willingness of the government and drivers does not significantly impact their final strategy choices. Additionally, the dynamic subsidy emerges as a critical factor influencing government decision-making. A higher carbon price and freight revenue are found to boost drivers’ incentives to reduce emissions. can stimulate the enthusiasm of drivers to reduce emissions. The findings of this paper offer theoretical insights into drivers’ emission reduction strategies and government regulation, and provide valuable references for the future development of China’s carbon emission trading market for road freight transport.

碳排放权交易制度被认为是减少公路货物运输碳排放的有效工具。作为道路货物运输碳排放权交易市场的主要参与者，政府和司机的减排策略和行为对减排效果起着至关重要的作用。本文以道路货物运输碳排放权交易市场为背景，建立了政府与驾驶员之间的演化博弈模型。为了找出影响政府和驱动者战略选择的关键因素，模拟了不同情景下政府和驱动者的动态演化路径。结果表明，政府和司机的初始意愿对他们的最终战略选择没有显著影响。此外，动态补贴也成为影响政府决策的关键因素。研究发现，较高的碳价和运费收入可以提高司机减少排放的积极性。可以激发驾驶员的积极性，减少排放。本文的研究结果为驾驶员减排策略和政府监管提供了理论见解，并为中国道路货物运输碳排放交易市场的未来发展提供了有价值的参考。

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引用次数: 0

Used or new electric vehicles? Public preferences and market segments 二手还是新的电动汽车？公众偏好和市场细分

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-10-10 DOI: 10.1080/15568318.2025.2572827

Bruno Cesar Krause Moras , Christina Marie Joslin , Konstantina Gkritza

Used electric vehicles (EVs) are a cheaper option for consumers interested in purchasing EVs, with the secondary market reaching 400,000 units in the United States in 2023. Despite their potential, the literature lacks a deep understanding of preferences for used EVs, attributing this preference solely to financial considerations without detailing it. This paper uses data from a public opinion survey to differentiate the public segments that prefer used EVs and to investigate the factors affecting this choice. The sample consists of 1,181 adult residents of Indiana and is representative in terms of age, gender, and income. A binary logistic regression identified the determinants influencing the participants’ likelihood of purchasing a used EV. The results indicated that sociodemographic, travel behavior, and lack of knowledge about available incentives are significant factors in the preference for a used EV. Latent class analyses were then conducted to classify both groups of participants—those who prefer used EVs and those who prefer new EVs—into classes. Among participants who would purchase a used EV, three classes were defined: budget-constrained participants, those apprehensive about getting used to EVs, and those who believe the cost-benefit of used EVs is better and depreciation is lower. This study confirms that financial considerations are the main reason for preferring used EVs but also reveals that these considerations are not homogeneous among the public segments, suggesting targeted policy implications, such as EV lease programs, for stakeholders interested in fostering the adoption of both used and new EVs.

对于有兴趣购买电动汽车的消费者来说，二手电动汽车（ev）是一个更便宜的选择，到2023年，美国的二手市场将达到40万辆。尽管它们具有潜力，但文献缺乏对二手电动汽车偏好的深刻理解，将这种偏好仅仅归因于经济考虑，而没有详细说明。本文利用民意调查的数据来区分喜欢二手电动汽车的公众群体，并调查影响这种选择的因素。样本由1181名印第安纳州成年居民组成，在年龄、性别和收入方面具有代表性。二元逻辑回归确定了影响参与者购买二手电动汽车可能性的决定因素。结果表明，社会人口统计学、出行行为和缺乏对现有激励措施的了解是影响二手电动汽车偏好的重要因素。然后进行潜在类别分析，将两组参与者——喜欢二手电动汽车的人和喜欢新电动汽车的人——分为不同的类别。将购买二手电动汽车的参与者分为三类：预算有限的参与者、担心习惯电动汽车的参与者和认为二手电动汽车的成本效益更好、折旧更低的参与者。该研究证实，经济因素是人们偏爱二手电动汽车的主要原因，但也揭示了这些考虑因素在公众群体中并不相同，这就为有兴趣促进二手电动汽车和新电动汽车采用的利益相关者提供了有针对性的政策建议，例如电动汽车租赁计划。

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引用次数: 0

Comparison of driving patterns using non-dimensional analysis 使用无量纲分析的驾驶模式比较

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-09-07 DOI: 10.1080/15568318.2025.2558953

José Ignacio Huertas-Cardozo , Rogelio Escamilla

Governmental authorities and fleet managers are interested in actionable insights that could reduce fuel consumption and, consequently, greenhouse gas emissions in the ground transport sector. Aiming to address this interest, we propose a methodology based on dimensionless numbers for comparing non-technology-related factors influencing vehicle fuel consumption, such as driving patterns and transport infrastructure. Aiming to illustrate the applicability of this methodology, the daily operational conditions of heavy-duty vehicles with the same technology were observed for a prolonged period (>2.5 years) in three diverse regions. Results revealed that topography is the most relevant (60%) factor influencing fuel consumption in Colombia (62%) and Ecuador (51%), while driving habits are the leading cause of excess fuel consumption in Mexico (49%).

政府部门和机队管理者对能够减少地面运输部门燃料消耗，从而减少温室气体排放的可行见解感兴趣。为了解决这一问题，我们提出了一种基于无因次数的方法，用于比较影响车辆燃料消耗的非技术相关因素，如驾驶模式和交通基础设施。为了说明该方法的适用性，在三个不同的地区对采用相同技术的重型车辆的日常运行状况进行了长时间（>；2.5年）的观察。结果显示，地形是影响哥伦比亚（62%）和厄瓜多尔（51%）燃油消耗的最相关因素（60%），而驾驶习惯是墨西哥（49%）燃油消耗过剩的主要原因。

引用次数: 0

Evaluating sustainable fuel alternatives for Brazilian public transport: A comprehensive well-to-wheel analysis 评估巴西公共交通的可持续燃料替代品：从油井到车轮的综合分析

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-10-07 DOI: 10.1080/15568318.2025.2563905

Bianca de Souza Hoffmann , Rodrigo de Alvarenga Rosa , Neyval Costa Reis Junior

Growing concerns about climate change and environmental degradation have led to global efforts to reduce emissions of air pollutants and greenhouse gases (GHGs). In response, the state of Espírito Santo, Brazil, has joined UN programs and developed a decarbonization plan aimed at neutralizing GHG emissions. This plan proposes strategies for reducing emissions from collective public transport. This article evaluates the emissions and impacts on human health and the environment associated with different fuels used in public transport. The fuels analyzed include BS-500, BS-10, electricity, and compressed natural gas (CNG). A method based on well-to-wheel analysis was used to assess emissions of air pollutants (CO, NOₓ, SO₂, NMHC, PM), GHGs (CO₂, CH₄, N₂O), and their related impact categories. This method was applied to the public transport system in the Metropolitan Region of Greater Vitória, Brazil, using real fleet operation data from 2022. Six scenarios were evaluated, considering the partial or total replacement of the current fleet. Data on fuel production was obtained from Ecoinvent via OpenLCA, and the impact categories were analyzed using the IMPACT 2002+ method. The results indicate that a complete electrified fleet is the best transition alternative, potentially reducing CO₂e emissions by 99.75%. Given the associated costs, partial electrification is a viable alternative, offering substantial reductions in all emissions. However, the use of CNG proved not to be a suitable option for decarbonization, as it sometimes increased emissions of certain pollutants and is a fossil fuel.

对气候变化和环境退化的日益关注促使全球努力减少空气污染物和温室气体的排放。作为回应，巴西圣州Espírito加入了联合国的项目，并制定了一项旨在中和温室气体排放的脱碳计划。该计划提出了减少集体公共交通排放的策略。本文评估了与公共交通中使用的不同燃料相关的排放及其对人类健康和环境的影响。分析的燃料包括BS-500、BS-10、电力和压缩天然气（CNG）。采用基于井到轮分析的方法评估大气污染物（CO、NOₓ、SO2、NMHC、PM）、温室气体（CO2、CH4、N2O）及其相关影响类别。该方法应用于巴西大Vitória大都市区的公共交通系统，使用2022年以来的真实车队运营数据。考虑到部分或全部替换现有机队，评估了六种方案。通过OpenLCA从Ecoinvent获取燃料生产数据，并使用impact 2002+方法分析影响类别。结果表明，完全电气化的车队是最佳的过渡选择，可能减少99.75%的二氧化碳排放量。考虑到相关成本，部分电气化是一种可行的替代方案，可以大幅减少所有排放。然而，事实证明，使用CNG并不是脱碳的合适选择，因为它有时会增加某些污染物的排放，而且它是一种化石燃料。

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引用次数: 0

Modeling bicycle choice behavior and its potential health impact: Case of first/last mile access to suburban rail 自行车选择行为建模及其潜在的健康影响：以郊区轨道交通的第一/最后一英里为例

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-10-17 DOI: 10.1080/15568318.2025.2572818

B. S. Manoj , Kapil Kumar Meena , Hiral Panchal , Gajanand Sharma , Arkopal Kishore Goswami

Cycling offers a sustainable solution to urban mobility challenges, particularly in rapidly growing cities like Mumbai, where it remains an underutilized access mode to suburban rail due to infrastructure gaps and safety concerns. This study explores factors affecting suburban rail commuters’ willingness to cycle for first-mile connectivity, using Ordered Logit and Integrated Choice Latent Variable models on survey data collected from 480 commuters across 20 stations along the central line in Mumbai, India. The survey examines socio-economic traits, travel habits, and attitudes toward cycling, with a focus on four infrastructural aspects: dedicated bike lanes, intersection treatments, bike-sharing services, and secure parking, alongside three latent factors—perceived benefits, physical barriers, and safety/security barriers. Findings reveal that only 8% of suburban rail users currently cycle to stations. Younger, lower-income individuals without motorized vehicles show a greater inclination to adopt cycling. However, broader uptake is hindered by safety issues, poor infrastructure, and insufficient secure parking. Health assessments using WHO’s Health Economic Assessment Tool estimate that the best scenario, with 54% of users cycling 4 km daily, could prevent around 5483 premature deaths annually. The study recommends implementing protected bike lanes, improved intersection designs, secure bike parking, and affordable bike-sharing at select stations to promote cycling as a viable access mode. Addressing these infrastructure needs can create a sustainable, health-promoting urban transport system in cities like Mumbai.

自行车为城市交通挑战提供了可持续的解决方案，特别是在孟买等快速发展的城市，由于基础设施的差距和安全问题，自行车仍然是一种未充分利用的郊区铁路交通方式。本研究利用Ordered Logit和Integrated Choice Latent Variable模型，对印度孟买中线沿线20个车站480名通勤者的调查数据进行分析，探讨了影响郊区铁路通勤者骑车出行意愿的因素。该调查考察了社会经济特征、出行习惯和对骑自行车的态度，重点关注了四个基础设施方面：专用自行车道、十字路口处理、自行车共享服务和安全停车，以及三个潜在因素——感知效益、物理障碍和安全/安保障碍。调查结果显示，目前只有8%的郊区铁路用户骑自行车去车站。没有机动车的年轻、低收入人群更倾向于骑自行车。然而，由于安全问题、基础设施落后和安全停车不足，这种技术的广泛应用受到了阻碍。使用世卫组织卫生经济评估工具进行的健康评估估计，在54%的使用者每天骑4公里自行车的最佳情况下，每年可预防约5483例过早死亡。该研究建议在选定的车站实施受保护的自行车道、改进十字路口设计、安全的自行车停放和价格合理的自行车共享，以促进骑自行车成为一种可行的出行方式。解决这些基础设施需求可以在孟买等城市建立可持续的、促进健康的城市交通系统。

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引用次数: 0

Joint optimization of electric bus charging and dispatching plans using mobile charging vehicle 采用移动充电车的电动公交车充电调度方案联合优化

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-10-28 DOI: 10.1080/15568318.2025.2581742

Xin Li , Chengen Xie , Meng Li , Xiaoyu Cai , Yun Yuan

The emerging Mobile Charging Vehicle (MCV) is used to deal with the range anxiety and limited coverage of chargers. The existing studies have not explored how MCV impacts the operational efficiency of fixed-route Battery Electric Buses (BEB). To better charge BEBs with both MCVs and immobile charging stations, this study proposes a joint MCV and BEB dispatching optimization model. To solve the proposed model, an adaptive large neighborhood search algorithm is tailored. In numerical case analyses, compared to the charging-at-station strategy, the proposed mobile charging strategy significantly increases the effective operating time of battery electric buses by 19.27%. Sensitivity tests show that the mobile charging is more economical when the charging rate is greater than 160 kW, and the mobile charging can fully replace charging stations when the daily deadheading time is greater than 60 min.

新兴的移动充电汽车（MCV）被用来解决充电器的里程焦虑和有限的覆盖范围。现有的研究尚未探讨MCV对固定路线纯电动公交车（BEB）运行效率的影响。为了使电动汽车和非移动充电站都能更好地为电动汽车充电，本研究提出了一种电动汽车和电动汽车联合调度优化模型。为了求解该模型，定制了一种自适应大邻域搜索算法。在数值案例分析中，与站内充电策略相比，所提出的移动充电策略显著提高了纯电动公交车的有效运行时间19.27%。灵敏度试验表明，当充电速率大于160 kW时，移动充电更经济；当日死头时间大于60 min时，移动充电可以完全替代充电站。

引用次数: 0

A collaborative and user-centered approach to exploring the challenges and opportunities in rural transport and mobility: Towards Rural Mobility as a Service (RMaaS) 以协作和以用户为中心的方法探索农村交通和移动的挑战和机遇：迈向农村移动即服务（RMaaS）

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-09-14 DOI: 10.1080/15568318.2025.2560579

Jenny Milne , John Nelson , Mark Beecroft , Caitlin D. Cottrill , Steve Wright

The focus of Mobility as a Service (MaaS) has, to date, predominantly been urban and city areas. Consequently, there is a lack of relevant historical evidence and data relating to rural mobility and Rural MaaS (RMaaS). However, as the subject of rural mobility climbs political agendas, there has been an increased focus in the area, and in turn RMaaS, in both developed and developing countries. In Scotland, one six-month mixed (rural and urban) MaaS pilot has been completed and a further four pilots (two regional with rural components commenced in 2021). The development of these pilot projects highlighted both the general knowledge gap in dedicated RMaaS programmes, and the paucity of available evidence on RMaaS from the Scottish context. The research reported in this paper was set in a real-world context to understand RMaaS, by adopting the empirical method of case studies to develop a user-centered or ‘consumer’ co-design approach. The research, undertaken in Scotland prior to the COVID-19 pandemic, revealed eight common barriers to both non-car and car users in rural areas when engaging with different transport modes, and useful insights for the development of user-focused RMaaS. Identified barriers included a lack of information and an inability to put bicycles on buses and unsafe roads for active travel. The findings also highlight that understanding these lived experiences is crucial in the development of sustainable rural mobility and that this should be appreciated by key stakeholders responsible for the development of RMaaS.

到目前为止，移动即服务（MaaS）的重点主要集中在城市和城市地区。因此，缺乏有关农村流动和农村MaaS （RMaaS）的相关历史证据和数据。然而，随着农村流动问题登上政治议程，发达国家和发展中国家都越来越关注这一领域，进而关注RMaaS。在苏格兰，一个为期六个月的混合（农村和城市）MaaS试点已经完成，另外四个试点（两个区域和农村部分于2021年开始）。这些试点项目的发展突出了专门的RMaaS项目的一般知识差距，以及苏格兰背景下RMaaS可用证据的缺乏。本文中报道的研究是在现实世界的背景下进行的，通过采用案例研究的经验方法来开发以用户为中心或“消费者”的协同设计方法来理解RMaaS。这项研究是在2019冠状病毒病大流行之前在苏格兰进行的，揭示了农村地区非汽车和汽车用户在使用不同交通方式时面临的八个共同障碍，并为开发以用户为中心的RMaaS提供了有用的见解。确定的障碍包括缺乏信息，无法将自行车放在公共汽车上，以及积极旅行的道路不安全。研究结果还强调，了解这些生活经验对于可持续农村流动性的发展至关重要，这应该得到负责农村移动出行系统发展的主要利益相关者的认可。

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引用次数: 0

How well are environmental attitudes and sustainable transport alternatives aligned in Santiago de los Caballeros (Dominican Republic) 圣地亚哥德洛斯卡瓦耶罗斯（多米尼加共和国）的环境态度和可持续交通选择的结合程度如何？

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-09-08 DOI: 10.1080/15568318.2025.2557324

Alessandro Indelicato , Salvador Moral-Cuadra , Francisco Orgaz-Agüera , Juan Carlos Martín

This study analyses Environmental Attitudes (EA) and preferences for Sustainable Transport Alternatives (STA) among residents of Santiago de los Caballeros, Dominican Republic. Using survey data from 600 participants aged 18 and older, stratified by socioeconomic characteristics, the research employs the Fuzzy Hybrid TOPSIS method to assess EA and STA based on these factors. Additionally, the Fuzzy Clustering ECO-Extended Apostle Model identifies four categories of individuals: Environmental Consistent, Environmental Conscientious, Environmental Inconsistent, and Environmental Negationist. Probability Conditional Ratios highlight the likelihood of individuals falling into these categories. Results reveal substantial socioeconomic differences in EA and STA, with women and those with primary education showing strong preferences for sustainable transport. However, these preferences may be influenced by socioeconomic constraints rather than solely by environmental awareness. The findings highlight the intricate relationship between socioeconomic conditions and sustainable attitudes, offering valuable insights into targeted policy strategies for promoting sustainable transportation in diverse populations.

本研究分析了多米尼加共和国圣地亚哥de los Caballeros居民的环境态度（EA）和对可持续交通选择（STA）的偏好。该研究利用600名18岁及以上参与者的调查数据，按社会经济特征分层，采用模糊混合TOPSIS方法评估基于这些因素的EA和STA。此外，模糊聚类生态扩展使徒模型确定了四类个人：环境一致，环境尽责，环境不一致和环境否定主义者。概率条件比率强调个体落入这些类别的可能性。结果显示，EA和STA的社会经济差异很大，女性和受过初等教育的人对可持续交通表现出强烈的偏好。然而，这些偏好可能受到社会经济制约因素的影响，而不仅仅是受到环境意识的影响。研究结果强调了社会经济条件与可持续态度之间的复杂关系，为促进不同人群的可持续交通提供了有针对性的政策策略。

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引用次数: 0

Intelligent scheduling framework for EV fast charging with waiting time reduction under charger availability constraints 充电器可用性约束下缩短等待时间的电动汽车快速充电智能调度框架

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2026-01-02 Epub Date: 2025-09-09 DOI: 10.1080/15568318.2025.2557325

Shreya Upadhyay , Annapurna Bhargava , Rajive Tiwari

The growing shortage of charging stations and escalating power consumption are resulting in extended wait times for electric vehicles (EVs) at charging locations. The effective scheduling of electric vehicle charging to save operational expenses and minimize waiting times in settings with restricted charger access is a significant optimization challenge. A novel improved Highest Response Ratio Next algorithm integrated with the Walrus Optimization Algorithm (IHRRN-WaOA) is proposed to address the scheduling challenge under constraints imposed by limited charging infrastructure. The proposed approach is structured as a two-step optimization framework, where the first step solves the charger allocation problem to minimize wait times, and the second step optimizes charging schedules to reduce both charging costs and battery degradation costs while satisfying EV energy demands. A dynamic online scheduling mechanism is introduced, leveraging the schedulable time of EVs and real-time fluctuations in energy demand to achieve optimal scheduling decisions. Experimental results demonstrate that the proposed IHRRN-WaOA method significantly reduces both total waiting time and station operating costs. Specifically, the method achieves a 19.47% reduction in waiting time compared to First-Come-First-Serve (FCFS) and a 14.89% reduction compared to the Highest Response Ratio Next technique. Additionally, the proposed method lowers the operational costs by 8.88% compared to FCFS and by 6.401% compared to HRRN, making it highly effective for both low- and high-incoming EV traffic scenarios.

充电站的日益短缺和不断上升的电力消耗导致电动汽车在充电地点等待的时间延长。在充电器接入受限的情况下，如何有效地安排电动汽车充电，以节省运营费用，并最大限度地减少等待时间，是一项重大的优化挑战。针对充电基础设施有限的约束条件下的调度挑战，提出了一种结合海象优化算法（IHRRN-WaOA）的改进最高响应比Next算法。该方法采用两步优化框架，第一步解决充电器分配问题，以减少等待时间；第二步优化充电计划，以降低充电成本和电池退化成本，同时满足电动汽车的能源需求。引入动态在线调度机制，利用电动汽车的可调度时间和能源需求的实时波动，实现最优调度决策。实验结果表明，所提出的IHRRN-WaOA方法显著降低了总等待时间和车站运营成本。具体来说，与先到先服务（FCFS）相比，该方法的等待时间减少了19.47%，与最高响应比Next技术相比减少了14.89%。此外，与FCFS相比，该方法的运行成本降低了8.88%，与HRRN相比降低了6.401%，使其在低入路和高入路电动汽车交通场景下都非常有效。

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引用次数: 0

Improving commercial truck fleet composition in emission modeling using 2021 US VIUS data 利用2021年US VIUS数据改进商用卡车车队的排放建模

IF 3.9 3区工程技术 Q2 ENVIRONMENTAL STUDIES

International Journal of Sustainable Transportation

Pub Date : 2025-12-02 Epub Date: 2025-09-27 DOI: 10.1080/15568318.2025.2566755

Xiaodan Xu , Hung-Chia Yang , Haitam Laarabi , Cristian Poliziani , Alicia Birky , Kyungsoo Jeong , Hongyu Lu , Randall Guensler , C. Anna Spurlock

Commercial trucks are essential elements of the nation’s supply chain system. Meanwhile, intensive truck movements contribute significantly to system externalities, such as energy use and air pollution. However, collecting detailed fleet composition and distribution of operational patterns remains a barrier to accurately accounting for these impacts. The recently released 2021 US Vehicle Inventory and Use Survey (US VIUS) fills a critical gap in understanding commercial truck fleet distributions, their operations, and business constraints at the national scale. This study aims to understand the latest US commercial vehicle fleet composition and operational characteristics using 2021 US VIUS data and calibrate the fleet inputs in regulatory emission models to assess the potential emission implications of the VIUS-derived fleet composition. The emission rates for commercial trucks and default fleet composition are collected from the U.S. EPA’s MOtor Vehicle Emission Simulator (MOVES4). The 2021 US VIUS data is applied to improve fleet characteristics such as the long-haul fraction and the vehicle mileage accumulation rate. The study also investigates potential emission reduction benefits under various forecasted fleet electrification scenarios. The energy consumption and critical air pollutant rates by vehicle types are compared between MOVES4 and US VIUS fleets for both current and future scenarios to provide insights into the latest U.S. commercial vehicle fleet characteristics and their implications on energy and emissions. This study helps policymakers and practitioners advance the commercial fleet generation for emission models. It also deepens the understanding of the emission reduction potential of the commercial fleet under various fleet projections.

商用卡车是国家供应链系统的重要组成部分。与此同时，密集的卡车运输对系统外部性（如能源使用和空气污染）产生了重大影响。然而，收集详细的船队组成和运营模式分布仍然是准确计算这些影响的障碍。最近发布的2021年美国车辆库存和使用调查（US VIUS）填补了在了解全国范围内商用卡车车队分布、运营和业务限制方面的关键空白。本研究旨在利用2021年US VIUS数据了解最新的美国商用车车队组成和运营特征，并校准监管排放模型中的车队输入，以评估由VIUS衍生的车队组成对排放的潜在影响。商用卡车的排放率和默认车队组成是从美国环保署的机动车辆排放模拟器（MOVES4）中收集的。2021年US VIUS数据将用于改善车队特性，如长途分数和车辆里程累积率。该研究还调查了在各种预测的汽车电气化情景下潜在的减排效益。本文比较了MOVES4和US VIUS车队在当前和未来两种情况下的能耗和关键空气污染物率，以深入了解最新的美国商用车车队特征及其对能源和排放的影响。这项研究有助于政策制定者和实践者推进排放模型的商业车队生成。它也加深了对各种船队预测下商业船队减排潜力的理解。

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引用次数: 0