Transportation Research Part D-transport and Environment最新文献

英文中文

Sustainable steel slag in micro-surfacing: A mechanistic, performance, and environmental evaluation 微堆焊中可持续钢渣的机理、性能和环境评价

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-10 DOI: 10.1016/j.trd.2025.105198

Daoming Shen , Hongwei Feng , Jinhong Xia

Replacing natural fillers with industrial by-products can enhance pavement sustainability by conserving resources and reducing environmental impact. This study evaluated steel slag as a filler replacement ranging from 0 % to 100 % in asphalt mastics and micro-surfacing. Surface free energy analysis linked the slag’s mineralogical and morphological features to improved binder–filler adhesion. Mechanical performance was assessed via wet track abrasion, cohesion, and loaded wheel tests. Safety and sustainability were examined using the Toxicity Characteristic Leaching Procedure (TCLP) and a cradle-to-gate life cycle assessment (LCA). At 100 % slag replacement, the work of cohesion increased by 28.7 %, moisture susceptibility declined by 45.9 %, and deformation and bleeding were reduced by over 40 %. The LCA indicated reductions in global warming potential (11.54 %), acidification potential (12 %), and cumulative energy demand (10.92 %), due to avoiding virgin filler production and lowering bitumen consumption. TCLP confirmed leached heavy metals below regulatory limits, supporting environmental safety and circular economy goals.

用工业副产品代替天然填充物可以节约资源，减少对环境的影响，从而提高路面的可持续性。本研究评价了钢渣作为填料在沥青沥青和微堆焊中的替代率，范围为0 ~ 100%。表面自由能分析表明，渣的矿物学和形态特征与粘结剂-填料粘结性的改善有关。机械性能通过湿轨磨损、黏聚力和载轮试验进行评估。使用毒性特征浸出程序（TCLP）和从摇篮到闸门的生命周期评估（LCA）来检查安全性和可持续性。在100%换渣时，粘聚功提高28.7%，水敏感性降低45.9%，变形和出血减少40%以上。LCA表明，由于避免了原始填料的生产和降低了沥青的消耗，全球变暖潜势（11.54%）、酸化潜势（12%）和累积能源需求（10.92%）均有所降低。中电集团确认浸出重金属低于监管标准，支持环境安全和循环经济目标。

{"title":"Sustainable steel slag in micro-surfacing: A mechanistic, performance, and environmental evaluation","authors":"Daoming Shen , Hongwei Feng , Jinhong Xia","doi":"10.1016/j.trd.2025.105198","DOIUrl":"10.1016/j.trd.2025.105198","url":null,"abstract":"<div><div>Replacing natural fillers with industrial by-products can enhance pavement sustainability by conserving resources and reducing environmental impact. This study evaluated steel slag as a filler replacement ranging from 0 % to 100 % in asphalt mastics and micro-surfacing. Surface free energy analysis linked the slag’s mineralogical and morphological features to improved binder–filler adhesion. Mechanical performance was assessed via wet track abrasion, cohesion, and loaded wheel tests. Safety and sustainability were examined using the Toxicity Characteristic Leaching Procedure (TCLP) and a cradle-to-gate life cycle assessment (LCA). At 100 % slag replacement, the work of cohesion increased by 28.7 %, moisture susceptibility declined by 45.9 %, and deformation and bleeding were reduced by over 40 %. The LCA indicated reductions in global warming potential (11.54 %), acidification potential (12 %), and cumulative energy demand (10.92 %), due to avoiding virgin filler production and lowering bitumen consumption. TCLP confirmed leached heavy metals below regulatory limits, supporting environmental safety and circular economy goals.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105198"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Green investment under route disruptions and the European union emissions trading system 路线中断和欧盟排放交易体系下的绿色投资

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-10 DOI: 10.1016/j.trd.2025.105200

Jie Wu , Jiaguo Liu , Junjin Wang , Guoqing Zhang

With the shipping sector included in the EU Emissions Trading System (EU ETS), carriers must purchase EUAs for emissions on EU-related voyages. Route disruptions such as the Red Sea crisis, Panama Canal drought, and embargoes force detours that raise fuel use and EUA demand, creating uncertainty for green investment decisions. This paper develops a two-period game model to examine how carriers adjust green investments under such disruptions. We find that high-probability disruptions strengthen the penalty effect of the EU ETS, encouraging early investment but simultaneously inducing a Prisoner´s Dilemma. Disruptions can increase total emissions in specific parameter regions due to longer detours, yet they also enhance the overall effectiveness of the EU ETS by expanding the conditions under which early investment becomes optimal. This study integrates route disruptions with carbon regulation to explain carriers’ strategic investment behavior and offers implications for decarbonizing shipping under uncertainty.

随着航运业被纳入欧盟排放交易体系（EU ETS），承运人必须为与欧盟相关的航次购买eua。航线中断，如红海危机、巴拿马运河干旱和禁运迫使绕道，增加了燃料使用和EUA需求，为绿色投资决策带来了不确定性。本文建立了一个两期博弈模型来考察运营商在这种干扰下如何调整绿色投资。我们发现，高概率干扰强化了EU ETS的惩罚效应，鼓励了早期投资，但同时也引发了囚徒困境。由于绕行的时间较长，中断可能会增加特定参数区域的总排放量，但它们也通过扩大早期投资达到最佳状态的条件，提高了欧盟排放交易体系的整体有效性。本研究将航线中断与碳监管相结合，解释了承运人的战略投资行为，并为不确定性下的脱碳航运提供了启示。

引用次数: 0

Causal effects of typhoons on mobility perturbations: environment and individual heterogeneity 台风对移动扰动的因果影响：环境和个体异质性

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-23 DOI: 10.1016/j.trd.2026.105234

Tianhua Lu , Wenbo Guo , Wenjia Zhang , Wen Zhang , Caicheng Niu

Understanding causal factors of typhoon-induced mobility disruption is crucial for urban resilience and protecting vulnerable groups. While studies link extreme weather events (EWEs) to mobility, causal evidence on policy intervention effects is lacking. This study applies an Interrupted Time Series (ITS) design to mobile phone data from Shenzhen, China, to quantify the causal effects of the extreme precipitation event Typhoon Haikui (September 7–8, 2023) on travel distance, while also evaluating heterogeneity across built-environment and individual attributes. Findings reveal government warnings and adverse weather were primary drivers, reducing travel by 32% and 34% respectively. Areas with higher land use mix and intersection density showed greater travel reductions, while retail and subway density mitigated these effects. Middle-aged individuals, women, and high-priced housing residents experienced significant perturbations. These insights identify vulnerable populations and low-resilience areas, informing targeted disaster policies and investments in resilient land use, pedestrian networks, and accessible subway stations.

了解台风导致交通中断的原因对城市恢复力和保护弱势群体至关重要。虽然研究将极端天气事件（ewe）与流动性联系起来，但缺乏关于政策干预效果的因果证据。本研究采用中断时间序列（ITS）设计对中国深圳的手机数据进行分析，量化极端降水事件“海葵”（2023年9月7-8日）对出行距离的因果影响，同时评估建筑环境和个体属性之间的异质性。调查结果显示，政府警告和恶劣天气是主要原因，分别减少了32%和34%的旅行。土地利用组合和十字路口密度较高的地区显示出更大的出行减少，而零售和地铁密度则缓解了这些影响。中年个体、女性和高价住房居民经历了显著的扰动。这些见解可以识别弱势群体和低恢复力地区，为有针对性的灾害政策和弹性土地使用、行人网络和无障碍地铁站的投资提供信息。

{"title":"Causal effects of typhoons on mobility perturbations: environment and individual heterogeneity","authors":"Tianhua Lu , Wenbo Guo , Wenjia Zhang , Wen Zhang , Caicheng Niu","doi":"10.1016/j.trd.2026.105234","DOIUrl":"10.1016/j.trd.2026.105234","url":null,"abstract":"<div><div>Understanding causal factors of typhoon-induced mobility disruption is crucial for urban resilience and protecting vulnerable groups. While studies link extreme weather events (EWEs) to mobility, causal evidence on policy intervention effects is lacking. This study applies an Interrupted Time Series (ITS) design to mobile phone data from Shenzhen, China, to quantify the causal effects of the extreme precipitation event Typhoon Haikui (September 7–8, 2023) on travel distance, while also evaluating heterogeneity across built-environment and individual attributes. Findings reveal government warnings and adverse weather were primary drivers, reducing travel by 32% and 34% respectively. Areas with higher land use mix and intersection density showed greater travel reductions, while retail and subway density mitigated these effects. Middle-aged individuals, women, and high-priced housing residents experienced significant perturbations. These insights identify vulnerable populations and low-resilience areas, informing targeted disaster policies and investments in resilient land use, pedestrian networks, and accessible subway stations.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105234"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Electrification of a bus system in a hilly city considering gradient impacts 考虑坡度影响的丘陵城市公交系统电气化研究

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.trd.2026.105223

Zili Tian , Jiaxing Liu , Shiqi Wang , Xiong Yang , Zhenhan Peng , Anthony Chen , Chengxiang Zhuge

Electrifying a bus system in hilly cities is challenging, as the road gradient plays a significant role in vehicular energy consumption, influencing the configuration of bus fleet and the layout of charging facilities. In response, this study developed a data-driven large-scale simulation optimization model that explicitly considers the impact of road gradients, aiming to determine the optimal electric bus fleet and charging infrastructure deployment, with Hong Kong (a typical hilly city) as the study area. Results indicated that neglecting gradient characteristics would underestimate the system cost and life-cycle emissions. Meanwhile, when accounting for gradient impacts, the required number of charging stations and fleet size increased by 27% and 3%, respectively. Moreover, the spatial distribution of charging stations could be greatly influenced. Further scenario analysis indicated that charging speed and infrastructure costs are influential in shaping bus electrification strategies. The outcomes can be helpful for bus electrification in hilly cities.

在丘陵城市实现公交系统的电气化是一项挑战，因为道路坡度对车辆能耗有重要影响，影响着公交车队的配置和充电设施的布局。为此，本研究以典型丘陵城市香港为研究区域，建立了一个明确考虑道路坡度影响的数据驱动的大规模仿真优化模型，旨在确定最优的电动巴士车队和充电基础设施部署。结果表明，忽略梯度特性会低估系统成本和全生命周期排放。同时，考虑梯度影响后，充电站数量和车队规模分别增加了27%和3%。此外，充电站的空间分布也会受到很大的影响。进一步的情景分析表明，充电速度和基础设施成本对公共汽车电气化战略的形成具有重要影响。研究结果对丘陵城市公交车电气化有一定的借鉴意义。

{"title":"Electrification of a bus system in a hilly city considering gradient impacts","authors":"Zili Tian , Jiaxing Liu , Shiqi Wang , Xiong Yang , Zhenhan Peng , Anthony Chen , Chengxiang Zhuge","doi":"10.1016/j.trd.2026.105223","DOIUrl":"10.1016/j.trd.2026.105223","url":null,"abstract":"<div><div>Electrifying a bus system in hilly cities is challenging, as the road gradient plays a significant role in vehicular energy consumption, influencing the configuration of bus fleet and the layout of charging facilities. In response, this study developed a data-driven large-scale simulation optimization model that explicitly considers the impact of road gradients, aiming to determine the optimal electric bus fleet and charging infrastructure deployment, with Hong Kong (a typical hilly city) as the study area. Results indicated that neglecting gradient characteristics would underestimate the system cost and life-cycle emissions. Meanwhile, when accounting for gradient impacts, the required number of charging stations and fleet size increased by 27% and 3%, respectively. Moreover, the spatial distribution of charging stations could be greatly influenced. Further scenario analysis indicated that charging speed and infrastructure costs are influential in shaping bus electrification strategies. The outcomes can be helpful for bus electrification in hilly cities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105223"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sound event detection for modified-exhaust vehicles in urban environment 城市环境下改进型排气车辆声事件检测

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-24 DOI: 10.1016/j.trd.2026.105241

Zirun Wang, Huasa Zhu, Chuanqi Ma, Zhaojie Lu, Siqing Long, Yunjie Zhang, Ming Cai

Vehicles with illegally modified exhaust systems are a significant source of urban noise and air pollution. This study employs a Sound Event Detection (SED) framework for their automated identification. To address the lack of public data, we generated a dataset with Scaper library, embedding foreground events into authentic background recordings. We employed an SED Transformer and compared six backbones, with the Multi-Scale Residual Network (MSResNet) achieving the best performance. The model achieved an event-based F1-score of 0.7277 on the validation set and 0.6629 in the field test. A Shapley Additive Explanations (SHAP) analysis confirmed the model’s focus on meaningful acoustic features like acceleration harmonics and afterfire transients, while also revealing a temporal bias from the synthetic data. Analysis of computational performance and an event-covered localization error metric validated deployment feasibility. This work presents an end-to-end SED framework for automated urban noise enforcement, supporting data-driven policy beyond conventional classification.

非法改装排气系统的车辆是城市噪音和空气污染的重要来源。本研究采用声事件检测（SED）框架对其进行自动识别。为了解决公共数据的缺乏，我们使用Scaper库生成了一个数据集，将前景事件嵌入到真实的背景记录中。我们采用了一个SED变压器，并比较了六个主干网，其中多尺度残余网络（MSResNet）获得了最佳性能。该模型在验证集上的基于事件的f1得分为0.7277，在现场测试中为0.6629。Shapley加性解释（SHAP）分析证实了该模型对加速谐波和火灾后瞬态等有意义的声学特征的关注，同时也揭示了合成数据的时间偏差。计算性能分析和事件覆盖的定位误差度量验证了部署的可行性。这项工作为自动化城市噪声执法提供了一个端到端的SED框架，支持超越传统分类的数据驱动政策。

{"title":"Sound event detection for modified-exhaust vehicles in urban environment","authors":"Zirun Wang, Huasa Zhu, Chuanqi Ma, Zhaojie Lu, Siqing Long, Yunjie Zhang, Ming Cai","doi":"10.1016/j.trd.2026.105241","DOIUrl":"10.1016/j.trd.2026.105241","url":null,"abstract":"<div><div>Vehicles with illegally modified exhaust systems are a significant source of urban noise and air pollution. This study employs a Sound Event Detection (SED) framework for their automated identification. To address the lack of public data, we generated a dataset with Scaper library, embedding foreground events into authentic background recordings. We employed an SED Transformer and compared six backbones, with the Multi-Scale Residual Network (MSResNet) achieving the best performance. The model achieved an event-based F1-score of 0.7277 on the validation set and 0.6629 in the field test. A Shapley Additive Explanations (SHAP) analysis confirmed the model’s focus on meaningful acoustic features like acceleration harmonics and afterfire transients, while also revealing a temporal bias from the synthetic data. Analysis of computational performance and an event-covered localization error metric validated deployment feasibility. This work presents an end-to-end SED framework for automated urban noise enforcement, supporting data-driven policy beyond conventional classification.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105241"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A double-filter driving cycle generation framework with dynamometer testing and analysis 一种双滤波器驱动循环生成框架，并进行了测功机测试和分析

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.trd.2026.105231

Nan Xu , Qiao Liu , Chengyin Yuan , Yongtao Yang , Yan Kong , Yifan Jia , Linhao Li , Jincheng Li

Standard driving cycles is the basis to obtain the vehicle type-approval energy consumption. However, for users, there is a gap between the type-approval results and their experiences. For manufacturers, limited number of test cycles cause sub-optimization related issues during the vehicle design and development; for testing organizations, deterministic test cycles lead to the risk of cheating in testing. Therefore, a novel double-filter method is proposed to generate multiple stochastic driving cycles that are energy consumption comparable. Using user data as reference, chassis dynamometer tests were designed for validation of the energy consistency. Results show that the maximum deviation from the user was 2.144%, and the minimum was only 0.465%. The method proposed enables customized families of test cycles, overcoming the limitations of deterministic, finite cycles, which contribute to vehicle economy optimization and provide a dependable foundation for energy consumption estimation for city transportation systems and related policy development.

标准行驶工况是获得整车型式认可能耗的依据。然而，对于用户来说，类型批准结果与他们的体验之间存在差距。对于制造商来说，在车辆设计和开发过程中，有限的测试周期导致了与次优化相关的问题；对于测试机构来说，确定性的测试周期会导致测试作弊的风险。为此，提出了一种新的双滤波方法来生成多个能耗可比较的随机驱动循环。以用户数据为参考，设计了底盘测功机试验，验证了能量一致性。结果表明，与用户的最大偏差为2.144%，最小偏差仅为0.465%。该方法克服了确定性、有限循环的局限性，实现了测试循环的定制化，有利于车辆经济性优化，为城市交通系统的能耗估算和相关政策制定提供了可靠的依据。

{"title":"A double-filter driving cycle generation framework with dynamometer testing and analysis","authors":"Nan Xu , Qiao Liu , Chengyin Yuan , Yongtao Yang , Yan Kong , Yifan Jia , Linhao Li , Jincheng Li","doi":"10.1016/j.trd.2026.105231","DOIUrl":"10.1016/j.trd.2026.105231","url":null,"abstract":"<div><div>Standard driving cycles is the basis to obtain the vehicle type-approval energy consumption. However, for users, there is a gap between the type-approval results and their experiences. For manufacturers, limited number of test cycles cause sub-optimization related issues during the vehicle design and development; for testing organizations, deterministic test cycles lead to the risk of cheating in testing. Therefore, a novel double-filter method is proposed to generate multiple stochastic driving cycles that are energy consumption comparable. Using user data as reference, chassis dynamometer tests were designed for validation of the energy consistency. Results show that the maximum deviation from the user was 2.144%, and the minimum was only 0.465%. The method proposed enables customized families of test cycles, overcoming the limitations of deterministic, finite cycles, which contribute to vehicle economy optimization and provide a dependable foundation for energy consumption estimation for city transportation systems and related policy development.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105231"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A transformer-enhanced causal analysis framework for inter-stop energy consumption of electric bus 基于变压器的电动客车停站能耗原因分析框架

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-14 DOI: 10.1016/j.trd.2026.105221

Yixu He , Zikang Huang , Jiahao Zhan , Lingshu Zhong , Mingyang Pei

Electric buses (EBs) are central to urban transport electrification, yet their energy consumption patterns remain inadequately characterized at operational scales. This study develops an integrated framework combining high-accuracy prediction with causal inference to analyze inter-stop segment energy consumption. We propose Transformer with C-Mixup and Self-Distillation (TCMSD), employing similarity-based sample mixing to address data sparsity and imbalance, while self-distillation enhances generalization. By embedding TCMSD within Double/debiased machine learning (DML) as base learners, we achieve superior causal effect estimation with reduced bias and variance. Applied to EB fleet operational data, the framework reveals non-linear heterogeneous treatment effects across 10 factors spanning driving behavior, operational characteristics, and weather conditions. Results demonstrate marked improvement in prediction performance. The factors exhibit different characteristics from long-distance trips from a causal perspective. This approach provides transit agencies with predictive tools and causal insights for data-driven energy management and environmental impact reduction.

电动公交车（EBs）是城市交通电气化的核心，但其能源消耗模式在运营规模上仍未充分表征。本研究建立了高精度预测与因果推理相结合的综合框架来分析停车间段能耗。我们提出了带有C-Mixup和自蒸馏（TCMSD）的Transformer，采用基于相似性的样本混合来解决数据稀疏性和不平衡问题，而自蒸馏则增强了泛化能力。通过在双/去偏机器学习（DML）中嵌入TCMSD作为基础学习器，我们在减少偏差和方差的情况下实现了卓越的因果效应估计。应用于EB车队运行数据，该框架揭示了跨越驾驶行为、操作特征和天气条件等10个因素的非线性异构处理效果。结果表明，预测性能显著提高。从因果关系的角度看，这些因素在长途旅行中表现出不同的特征。这种方法为交通运输机构提供了预测工具和因果洞察，用于数据驱动的能源管理和减少环境影响。

{"title":"A transformer-enhanced causal analysis framework for inter-stop energy consumption of electric bus","authors":"Yixu He , Zikang Huang , Jiahao Zhan , Lingshu Zhong , Mingyang Pei","doi":"10.1016/j.trd.2026.105221","DOIUrl":"10.1016/j.trd.2026.105221","url":null,"abstract":"<div><div>Electric buses (EBs) are central to urban transport electrification, yet their energy consumption patterns remain inadequately characterized at operational scales. This study develops an integrated framework combining high-accuracy prediction with causal inference to analyze inter-stop segment energy consumption. We propose Transformer with C-Mixup and Self-Distillation (TCMSD), employing similarity-based sample mixing to address data sparsity and imbalance, while self-distillation enhances generalization. By embedding TCMSD within Double/debiased machine learning (DML) as base learners, we achieve superior causal effect estimation with reduced bias and variance. Applied to EB fleet operational data, the framework reveals non-linear heterogeneous treatment effects across 10 factors spanning driving behavior, operational characteristics, and weather conditions. Results demonstrate marked improvement in prediction performance. The factors exhibit different characteristics from long-distance trips from a causal perspective. This approach provides transit agencies with predictive tools and causal insights for data-driven energy management and environmental impact reduction.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105221"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Institutional barriers to dynamic truck charging: why electric road systems struggle in Europe 动态卡车充电的制度障碍：为什么电动道路系统在欧洲举步维艰

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-15 DOI: 10.1016/j.trd.2025.105154

Aline Scherrer , Matthew Lockwood , Uta Burghard , Karoline S. Rogge

Electric road systems (ERS) have been proposed as an efficient solution to dynamically charge electric trucks but have not yet become a dominant solution. This paper provides an institutional explanation for the case of Europe, building on 22 expert interviews in eight European countries, event observations, and policy documents. The analysis identifies three main explanations. Firstly, as a line infrastructure, ERS require government commitment for build-up and coordination, particularly across borders. This conflicts with the widespread idea of technology-open governments that provide R&D funds to initiate market-driven solutions. Secondly, time constraints favour readily available solutions backed by industry, like stationary charging, over sector-specific ERS technologies that lack a unified lobby with policy access. Thirdly, ERS technologies challenge long-standing sectoral designs. If policymakers want to maintain the option of ERS alongside stationary charging, they need to acknowledge this institutional uphill battle and consider compatibility requirements for vehicles and an active commitment for larger routes.

电动道路系统（ERS）作为电动卡车动态充电的有效解决方案已被提出，但尚未成为主导解决方案。本文基于对8个欧洲国家的22位专家访谈、事件观察和政策文件，对欧洲的情况进行了制度性解释。分析指出了三种主要解释。首先，作为线路基础设施，ERS需要政府承诺进行建设和协调，特别是跨境建设和协调。这与技术开放政府提供研发资金以启动市场驱动解决方案的普遍观点相冲突。其次，时间限制更倾向于由行业支持的现成解决方案，如固定收费，而不是缺乏统一游说和政策准入的特定行业的ERS技术。第三，ERS技术挑战了长期存在的部门设计。如果政策制定者想在固定充电的同时保留ERS的选择，他们需要承认这是一场制度性的艰苦战斗，并考虑车辆的兼容性要求和对更大路线的积极承诺。

{"title":"Institutional barriers to dynamic truck charging: why electric road systems struggle in Europe","authors":"Aline Scherrer , Matthew Lockwood , Uta Burghard , Karoline S. Rogge","doi":"10.1016/j.trd.2025.105154","DOIUrl":"10.1016/j.trd.2025.105154","url":null,"abstract":"<div><div>Electric road systems (ERS) have been proposed as an efficient solution to dynamically charge electric trucks but have not yet become a dominant solution. This paper provides an institutional explanation for the case of Europe, building on 22 expert interviews in eight European countries, event observations, and policy documents. The analysis identifies three main explanations. Firstly, as a line infrastructure, ERS require government commitment for build-up and coordination, particularly across borders. This conflicts with the widespread idea of technology-open governments that provide R&D funds to initiate market-driven solutions. Secondly, time constraints favour readily available solutions backed by industry, like stationary charging, over sector-specific ERS technologies that lack a unified lobby with policy access. Thirdly, ERS technologies challenge long-standing sectoral designs. If policymakers want to maintain the option of ERS alongside stationary charging, they need to acknowledge this institutional uphill battle and consider compatibility requirements for vehicles and an active commitment for larger routes.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105154"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A dual large language model framework for forecasting maritime greenhouse gas emissions 海洋温室气体排放预测的双大语言模型框架

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-08 DOI: 10.1016/j.trd.2025.105202

Shuojiang Xu , Kelin Zhu , Fangli Zeng , Min Guo , Benying Tan , Yiqing Tian

Maritime transport is a major source of greenhouse gas emissions, and accurately forecasting them is key to formulating targeted policies such as carbon pricing and emission quotas. The accuracy of existing forecasting models is limited by the challenges they face in processing large multi-source datasets. This study introduces a dual large language model (LLM) framework, MarEmisNet-DualLLM, which integrates a time-series-focused LLM for capturing temporal patterns and a general-purpose LLM for integrating domain knowledge, unstructured text, and contextual reasoning. Empirical tests on three real-world maritime datasets demonstrate that it outperforms baseline methods. The framework could be used by the International Maritime Organization, shipping firms, and ports to support mitigation strategies like route optimization and monitor compliance, thereby advancing maritime decarbonization.

海运是温室气体排放的主要来源，准确预测其排放量是制定碳定价和排放配额等有针对性政策的关键。现有预测模型在处理大型多源数据集时面临的挑战限制了其准确性。本研究引入了一个双大型语言模型（LLM）框架，MarEmisNet-DualLLM，它集成了一个以时间序列为中心的LLM，用于捕获时间模式，以及一个用于集成领域知识、非结构化文本和上下文推理的通用LLM。对三个真实海洋数据集的实证测试表明，该方法优于基线方法。该框架可被国际海事组织、航运公司和港口用于支持路线优化和监测合规等缓解战略，从而推进海上脱碳。

引用次数: 0

The impact of research on transportation and the environment 研究对交通和环境的影响

IF 7.7 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment

Pub Date : 2026-04-01 Epub Date: 2026-01-28 DOI: 10.1016/j.trd.2026.105244

Robert B. Noland

引用次数: 0

首页上一页

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Transportation Research Part D-transport and Environment

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀