Transportation Research Part D-transport and Environment最新文献

英文中文

Flight-level carbon efficiency of low-cost carriers: a China–U.S. Comparison 低成本航空公司的飞行级碳效率：中美。比较

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-29 DOI: 10.1016/j.trd.2025.105187

Weijun Liao , Xingyu Liu , Chunan Wang

This study provides the first empirical evidence on flight‑level carbon efficiency of low‑cost carriers (LCCs) in China and the United States. Using 23,953,470 flight records linked to engine data, geospatial references, and load factors, we estimate CO₂ by landing–takeoff (LTO) segment and the climb–cruise–descent (CCD) segment and compute intensities per seat‑km and passenger‑km. Contrary to the common belief that advanced economies achieve superior efficiency, our findings reveal that Chinese LCCs consistently outperform U.S. in carbon efficiency. Spatially, China’s gains concentrate along dense southeastern corridors, while U.S. coastal short‑haul remains carbon‑intensive. Aircraft heterogeneity and assignment also matter: the A320 family outperforms 737‑700/800, especially on medium/long-haul flights. Comparison with full-service carriers (FSCs) confirms the superior carbon efficiency of LCCs. However, as LCCs have less room for further carbon reductions, mitigation policies focused on activity growth risk penalizing them. This highlights the need for intensity-based and equitable regulatory frameworks.

本研究首次提供了中美两国低成本航空公司（lcc）航班碳效率的实证证据。利用23,953,470个与发动机数据、地理空间参考和负载因素相关的飞行记录，我们通过着陆-起飞（LTO）段和爬升-巡航-下降（CCD）段估算二氧化碳浓度，并计算每座位公里和每乘客公里的强度。与普遍认为发达经济体的效率更高的观点相反，我们的研究结果显示，中国的低成本城市在碳效率方面一直优于美国。在空间上，中国的收益集中在密集的东南走廊，而美国沿海短途航线仍然是碳密集型的。飞机的异质性和分配也很重要：A320家族的性能优于737 - 700/800，特别是在中长途航班上。与全服务航空公司（fsc）相比，低成本航空公司的碳效率更高。然而，由于低成本国家进一步减少碳排放的空间较小，侧重于活动增长的缓解政策可能会惩罚它们。这凸显了建立基于强度的公平监管框架的必要性。

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引用次数: 0

A multi-branch learning for vessel fuel consumption prediction using multi-scale feature fusion 基于多尺度特征融合的船舶油耗预测多分支学习

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-26 DOI: 10.1016/j.trd.2025.105174

Yi Zuo , Xinyu Li , Licheng Zhao , Zhuo Sun

Energy conservation and emission reduction in vessel operations are critical for sustainable shipping. Accurate prediction of vessel fuel consumption (VFC) is pivotal to this goal. To overcome the difficulty of fusing features from high-dimensional, heterogeneous sensor data in hybrid models, we propose a multi-branch learning method for VFC prediction that leverages multi-scale feature fusion. The core of our method is a two-stage attention fusion network (TSAFNet) with relevance-driven feature refinement, enhancing feature abstraction while enabling adaptive cross-branch integration. Experiments on a monthly dataset collected from fishing vessels indicate that TSAFNet outperforms ten baseline models. Even compared with the most competitive baseline, TSAFNet reduces mean absolute error by 42.0 % and root mean squared error by 25.7 %. Ablation studies and cross-vessel evaluations further demonstrate its robustness and generalizability. By enabling accurate VFC prediction, this study supports the optimization of vessel energy efficiency in green shipping, thereby contributing to maritime decarbonization.

船舶节能减排是实现航运可持续发展的关键。船舶燃料消耗（VFC）的准确预测是实现这一目标的关键。为了克服混合模型中高维异构传感器数据特征融合的困难，我们提出了一种利用多尺度特征融合的VFC预测多分支学习方法。该方法的核心是一种两阶段注意力融合网络（TSAFNet），该网络具有相关性驱动的特征细化，增强了特征抽象，同时实现了自适应跨分支集成。对每月从渔船上收集的数据集进行的实验表明，TSAFNet优于10个基线模型。即使与最具竞争力的基线相比，TSAFNet也将平均绝对误差降低了42.0%，均方根误差降低了25.7%。消融研究和跨血管评估进一步证明了其稳健性和通用性。通过实现准确的VFC预测，本研究支持绿色航运中船舶能效的优化，从而为海上脱碳做出贡献。

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引用次数: 0

User satisfaction and willingness to pay for micro electric vehicle sharing services 用户对微型电动车共享服务的满意度和付费意愿

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-26 DOI: 10.1016/j.trd.2025.105180

Minjun Kim , YoungMin Kwon , SungHoe Kim , Jihye Byun

Urban areas increasingly face congestion, air pollution, and limited parking, driving interest in compact and sustainable transport options. Micro-EV Sharing Service offers a flexible, low-emission solution for short-distance travel. This study examines user satisfaction and Willingness to Pay (WTP) for Micro-EV sharing service using survey data from 201 users in a South Korean pilot program. We apply factor analysis, bivariate ordered probit models, and a double-bounded model to analyze how satisfaction dimensions affect behavioral intentions and estimate WTP. Environmental value most strongly predicts continued use, while ease of access drives recommendation. Vehicle performance and economic benefits also play roles. WTP is higher among frequent users and those in their 30 s, but lower among students. These findings contribute to a clearer understanding of how individuals evaluate Micro-EV sharing service, including preferences and pricing sensitivity. They offer guidance for service providers and policymakers aiming to enhance accessibility and effectiveness in urban environments.

城市地区日益面临交通拥堵、空气污染和停车位有限的问题，人们对紧凑和可持续的交通选择产生了兴趣。微型电动车共享服务为短途出行提供灵活、低排放的解决方案。本研究利用韩国试点项目201名用户的调查数据，考察了微型电动汽车共享服务的用户满意度和支付意愿。我们运用因子分析、双变量有序概率模型和双边界模型来分析满意度维度如何影响行为意图和估计WTP。环境价值最强烈地预测了继续使用，而易于访问驱动推荐。车辆性能和经济效益也发挥作用。WTP在频繁用户和30多岁人群中较高，但在学生中较低。这些发现有助于更清楚地了解个人如何评估微型电动汽车共享服务，包括偏好和价格敏感性。它们为旨在提高城市环境可及性和有效性的服务提供者和决策者提供指导。

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引用次数: 0

Air transport decarbonization through high-speed rail station accessibility in China 中国高铁站可达性对航空运输脱碳的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-24 DOI: 10.1016/j.trd.2025.105162

Yingxu Chen, Liying Song

This paper examines how high-speed rail (HSR) station accessibility influences the competition between HSR and air transport and explores the implications for carbon emission savings. A generalized cost accessibility model is established for public and private transportation. Using data from 455 domestic routes in China from 2003 to 2019, a continuous difference-in-differences analysis is applied to evaluate the effects of HSR station accessibility on passenger volumes of parallel air routes. Finally, this research assesses the net CO₂ emission savings from air transport. The results indicate that the HSR station accessibility via public transport has a stronger effect on carbon mitigation: 1% improvement in public transport accessibility leads to an average CO₂ emission savings of 0.14 thousand tonnes per city pair. Regional heterogeneity analysis reveals stronger carbon emission savings in the eastern region. These findings underscore the importance of integrating HSR stations with urban public transport networks to maximize environmental benefits.

本文研究了高铁站点可达性如何影响高铁与航空运输之间的竞争，并探讨了高铁站点可达性对碳减排的影响。建立了公共交通和私人交通的广义成本可达性模型。利用2003 - 2019年中国455条国内航线的数据，采用连续差异中的差异分析方法，评估了高铁站点可达性对平行航线客运量的影响。最后，本研究评估了航空运输的二氧化碳净减排。结果表明，高铁站点的公共交通可达性对碳减排具有更强的影响：公共交通可达性提高1%，平均每个城市对减少二氧化碳排放0.14万吨。区域异质性分析表明，东部地区碳排放节约更强。这些发现强调了将高铁站点与城市公共交通网络整合以最大化环境效益的重要性。

引用次数: 0

Resilience analysis of electric vehicle charging infrastructure: a Bayesian network approach 电动汽车充电基础设施弹性分析：贝叶斯网络方法

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-23 DOI: 10.1016/j.trd.2025.105178

Ning Guo , Mengying Li , Zhe George Zhang , Xi Chen , Bingfeng Xie

With the widespread adoption of electric vehicles, charging infrastructure has become indispensable to transportation systems. However, various unavoidable disruptive events, such as natural hazards and cyber threats, severely impact the operation of charging infrastructure. To better handle these risks, charging infrastructure should be maintained for high resilience—sustaining service under disturbance and recovering quickly. This study, therefore, conducts a comprehensive resilience analysis of charging infrastructure. First, the study identifies key drivers of charging infrastructure resilience, organized along three inherent capacity dimensions—absorptive, adaptive, and restorative. A Bayesian network is then employed to model charging infrastructure resilience. Furthermore, resilience quantification is analyzed using advanced methods: sensitivity analysis and both forward and backward inference. Lastly, the insights drawn from study will benefit practitioners who wish to improve the charging infrastructure resilience.

随着电动汽车的广泛采用，充电基础设施已成为交通系统不可或缺的一部分。然而，各种不可避免的破坏性事件，如自然灾害和网络威胁，严重影响了充电基础设施的运行。为了更好地应对这些风险，应该维护充电基础设施，使其能够在干扰下提供高弹性持续服务并快速恢复。因此，本研究对充电基础设施进行了全面的弹性分析。首先，该研究确定了充电基础设施弹性的关键驱动因素，并按照三个固有的能力维度进行组织——吸收性、适应性和恢复性。然后采用贝叶斯网络对充电基础设施的弹性进行建模。在此基础上，采用灵敏度分析和前向推理相结合的方法对弹性进行量化分析。最后，从研究中得出的见解将有利于希望提高充电基础设施弹性的从业者。

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引用次数: 0

Beyond adoption: Adaptation and usage patterns among electric vehicle drivers 超越采用：电动汽车驾驶员的适应和使用模式

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-22 DOI: 10.1016/j.trd.2025.105175

Anne Voigt , Christina Kurpiers , Stefan Brandenburg

Battery electric vehicle (BEV) technology continues to advance, offering longer driving ranges. As the market shifts from early adopters to mainstream consumers, who differ in their characteristics, understanding their adaptation process becomes crucial. With advanced BEVs and more diverse users, questions arise about how current BEV drivers use their vehicles, adapt to them, and whether past issues like range anxiety remain significant. To explore these questions, we conducted qualitative interviews with N = 24 BEV owners. Findings reveal diverse usage patterns, from multi-car households using BEVs for short commutes to single-car households relying on them for long trips. Despite improved technical capabilities, concerns about range and charging persist, even as actual range meets daily needs for most drivers. The adaptation process of the drivers involves developing new habits and behaviours, with gained experience reducing initial concerns. Understanding these individual adaptation processes becomes increasingly important to facilitate widespread BEV adoption.

纯电动汽车（BEV）技术不断进步，提供了更长的行驶里程。随着市场从早期采用者转变为特征不同的主流消费者，了解他们的适应过程变得至关重要。随着先进的纯电动汽车和更多样化的用户，关于当前纯电动汽车司机如何使用他们的车辆，适应它们，以及过去的问题（如里程焦虑）是否仍然严重的问题出现了。为了探讨这些问题，我们对N = 24名纯电动汽车车主进行了定性访谈。调查结果揭示了不同的使用模式，从多辆车的家庭使用纯电动汽车进行短途通勤，到单辆车的家庭依靠纯电动汽车进行长途旅行。尽管技术能力有所提高，但对续航里程和充电的担忧仍然存在，即使实际续航里程满足了大多数司机的日常需求。驾驶员的适应过程包括发展新的习惯和行为，获得的经验减少了最初的担忧。了解这些个体适应过程对于促进纯电动汽车的广泛采用变得越来越重要。

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引用次数: 0

Decarbonizing last-mile delivery: A life cycle comparison of low-altitude and traditional logistics 脱碳最后一英里配送：低空与传统物流的生命周期比较

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-21 DOI: 10.1016/j.trd.2025.105176

Jun-jie Dong , Yuan-kai Huang

With growing environmental concerns in e-commerce logistics, this research employs life cycle assessment to evaluate the carbon footprint of last-mile delivery options by comparing multi-rotor drones, electric tricycles, and fuel-powered minivans. Results show electric tricycles offer the best environmental performance under current conditions. While drones outperform conventional minivans, their manufacturing embodied carbon exceeds that of tricycles, highlighting limitations in operational emission reductions alone. Sensitivity analysis identifies payload capacity, service life, and daily operational frequency as key influencing factors. The research proposes extending vehicle lifespan, improving operational efficiency, and optimizing payload design to reduce emissions. These findings provide valuable insights for logistics operators in vehicle selection, manufacturers in eco-design, and policymakers in sustainable urban planning, contributing to the development of low-carbon delivery systems.

随着电子商务物流对环境问题的日益关注，本研究通过比较多旋翼无人机、电动三轮车和燃油驱动的小型货车，采用生命周期评估来评估最后一英里交付选项的碳足迹。结果表明，在当前条件下，电动三轮车具有最佳的环保性能。尽管无人机的性能优于传统的小型货车，但其制造过程中的碳含量超过了三轮车，这凸显了仅在运营减排方面的局限性。灵敏度分析确定有效载荷能力、使用寿命和日常运行频率是关键的影响因素。研究建议延长车辆寿命，提高运行效率，优化有效载荷设计以减少排放。这些发现为物流运营商在车辆选择方面、制造商在生态设计方面以及政策制定者在可持续城市规划方面提供了有价值的见解，有助于发展低碳运输系统。

引用次数: 0

Shifting gears? The CO2-emission impact of Austria’s car purchase and use policies 将齿轮吗?奥地利汽车购买和使用政策对二氧化碳排放的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-21 DOI: 10.1016/j.trd.2025.105160

Tobias Eibinger , Hans Manner , Karl W. Steininger

Policy makers likely have to resort to a mix of complementary policies to achieve global carbon-neutrality targets. To support effective policy design, we analyse the effect of environmental policies targeting vehicle use and purchase decisions on CO₂ emissions from passenger cars in Austria from 1965 to 2019. First, we propose a novel environmental policy stringency index tailored to the Austrian transport sector. Second, we analyse the effect of policies on transport-related CO₂ emissions using a structural vector autoregressive model to account for interdependencies between variables. We find that policies targeting the investment decision to buy new cars reduce emissions in Austria in the long run, but their effect materializes with a delay. In terms of stringency levels implemented, the annual engine-related tax shows the strongest impact, while the new vehicle registration tax shows a weaker effect. In contrast, policies targeting car usage produce immediate effects that fade over time.

为了实现全球碳中和目标，政策制定者可能不得不采取多种互补政策。为了支持有效的政策设计，我们分析了1965年至2019年奥地利针对车辆使用和购买决策的环境政策对乘用车二氧化碳排放的影响。首先，我们提出了一个新的环境政策严格指数量身定制奥地利运输部门。其次，我们使用结构向量自回归模型来分析政策对交通相关二氧化碳排放的影响，以解释变量之间的相互依赖性。我们发现，从长期来看，针对购买新车的投资决策的政策减少了奥地利的排放，但其效果的实现是延迟的。就实施的严格程度而言，年度发动机相关税的影响最大，而新车辆登记税的影响较弱。相比之下，针对汽车使用的政策会产生立竿见影的效果，但随着时间的推移会逐渐消退。

引用次数: 0

Drivers and barriers to automated vehicle Adoption: A systematic review 自动驾驶汽车采用的司机和障碍：系统回顾

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-20 DOI: 10.1016/j.trd.2025.105177

Kai Jin, Junwei Zhao, Qiang Jiang, Xia Zhong

As automated vehicles move from concept to reality, public attitudes have become a key determinant of their adoption in developed countries. However, a comprehensive synthesis of existing evidence remains lacking. This study systematically reviews 38 empirical studies from developed economies, including the United States, the United Kingdom, Australia, Germany, Norway, and Japan. The review identifies a complex interplay of psychological factors, prior experience, attitudes, and trust shaping public willingness to adopt automated vehicles. Findings highlight that promoting automated vehicles requires an integrated, human-centric, and trust-based policy approach beyond technological advancement. The study proposes an integrative framework emphasizing legal and regulatory readiness, transparent and reliable human–machine interfaces, and targeted public education. These insights provide valuable guidance for policymakers, automakers, and technology developers to foster societal acceptance and sustainable deployment of automated driving technologies.

随着自动驾驶汽车从概念走向现实，公众态度已成为发达国家采用自动驾驶汽车的关键决定因素。然而，对现有证据的全面综合仍然缺乏。本研究系统回顾了来自美国、英国、澳大利亚、德国、挪威和日本等发达经济体的38项实证研究。该报告指出，心理因素、先前的经验、态度和信任等复杂的相互作用影响着公众采用自动驾驶汽车的意愿。研究结果强调，推广自动驾驶汽车需要一种综合的、以人为本的、基于信任的政策方法，而不仅仅是技术进步。该研究提出了一个综合框架，强调法律和监管准备，透明可靠的人机界面，以及有针对性的公共教育。这些见解为政策制定者、汽车制造商和技术开发人员提供了有价值的指导，以促进社会对自动驾驶技术的接受和可持续部署。

引用次数: 0

Breaking barriers to shared micro-mobility: Understanding non-adoption through an explanatory sequential mixed-method 打破共享微流动性的障碍：通过解释性顺序混合方法理解非采用

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2025-12-19 DOI: 10.1016/j.trd.2025.105171

Jasmijn van der Craats , Xiaodong Guan , Dea van Lierop , Dick Ettema

Shared micro-mobility (SMM) services such as shared bikes, e-bikes, and e-scooters are increasingly promoted as sustainable transport solutions, yet barriers to adoption remain poorly understood, particularly among non-users. This study employs an explanatory sequential mixed-methods design, guided by the Social-Ecological Model (SEM), to analyse barriers to SMM use in three European cities. In phase one, an online survey conducted in Malmö (Sweden), Manchester (United Kingdom), and Utrecht (Netherlands) identified the prevalence and distribution of barriers across socio-demographic groups. In phase two, go-along interviews conducted in Utrecht built directly on these findings to explore how users and non-users experience barriers in everyday mobility. Findings highlight affordability, safety concerns, and service availability as persistent obstacles of non-users, while users emphasize flexibility and convenience. By integrating breadth and depth across SEM’s micro, meso, and macro levels, this study advances understanding of SMM non-adoption and provides guidance for more inclusive and equitable SMM policies.

共享微型交通（SMM）服务，如共享自行车、电动自行车和电动滑板车，越来越多地被推广为可持续的交通解决方案，但采用的障碍仍然知之甚少，特别是在非用户中。本研究采用解释性顺序混合方法设计，在社会生态模型（SEM）的指导下，分析了三个欧洲城市使用SMM的障碍。在第一阶段，在Malmö（瑞典）、曼彻斯特（英国）和乌得勒支（荷兰）进行了一项在线调查，确定了障碍在社会人口群体中的普遍程度和分布。在第二阶段，在乌得勒支进行的访谈直接建立在这些发现的基础上，以探索用户和非用户如何在日常移动中遇到障碍。调查结果强调了可负担性、安全性和服务可用性是非用户的持续障碍，而用户则强调灵活性和便利性。通过整合SEM微观、中观和宏观层面的广度和深度，本研究促进了对不采用SMM的理解，并为更具包容性和公平性的SMM政策提供了指导。

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