Transportation Research Part D-transport and Environment最新文献_第10页

Exploring preference heterogeneity of electric ride-hailing drivers’ charging decisions under time uncertainty 时间不确定性下电动网约车司机充电决策的偏好异质性研究

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-15 DOI: 10.1016/j.trd.2025.105166

Mengru SHAO , Chao CHEN , Tao FENG

{"title":"Exploring preference heterogeneity of electric ride-hailing drivers’ charging decisions under time uncertainty","authors":"Mengru SHAO , Chao CHEN , Tao FENG","doi":"10.1016/j.trd.2025.105166","DOIUrl":"10.1016/j.trd.2025.105166","url":null,"abstract":"<div><div>The rapid electrification of ride-hailing fleets intensifies demands on public charging infrastructure, making drivers’ charging behavior pivotal for effective system planning. Unlike studies focusing on private electric vehicle (EV) users or taxi drivers, this study examines electric ride-hailing drivers’ charging preferences under waiting time uncertainty using a conjoint stated choice experiment. A latent class mixed logit model is employed to capture behavioral heterogeneity, identifying two driver classes: flexible and proactive drivers and time- and price-constrained drivers. Results show that while both classes value shorter waits and lower prices, the time- and price-constrained drivers are considerably more sensitive to uncertainty and costs, diverging from patterns observed among private EV users. Preferences for ancillary facilities also differ across classes. These findings extend existing knowledge by providing new behavioral evidence on how electric ride-hailing drivers manage trade-offs under operational uncertainty and offering actionable implications for differentiated infrastructure and policy design.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105166"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786105","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

Intelligent shipment consolidation in maritime Transport: Efficiency, Competition, and sustainability analysis 海上运输中的智能货物整合：效率、竞争和可持续性分析

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-13 DOI: 10.1016/j.trd.2025.105161

Baozhuang Niu , Yikang Hong , Fengfeng Xie , Hongzhi Wang

{"title":"Intelligent shipment consolidation in maritime Transport: Efficiency, Competition, and sustainability analysis","authors":"Baozhuang Niu , Yikang Hong , Fengfeng Xie , Hongzhi Wang","doi":"10.1016/j.trd.2025.105161","DOIUrl":"10.1016/j.trd.2025.105161","url":null,"abstract":"<div><div>Maritime transport is crucial for global trade but contributes significantly to carbon emissions. In practice, shipment consolidation is proven to be an effective way to integrate demand and hence, reduce emissions. Recently, we have observed that Artificial Intelligence (AI)-based consolidation systems have been widely built to automate workflows and optimize cargo planning. However, they actually incur more emissions and energy waste in model training and infrastructure. This study therefore develops a game-theoretic model to analyze how to break such a dilemma. Our analysis reveals an interesting “<em>efficiency improvement dilemma</em>” that although AI-based consolidation system can significantly reduce consolidation waiting time, it lowers the retailer’s incentive to order more, which in turn hurts the shipping company’s profit. We further show that carbon emissions from AI usage may outweigh its environmental benefits. But under moderate competition intensity and manageable AI emissions, AI system can achieve Pareto improvement of profitability and environmental sustainability.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105161"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790498","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

Urban road network resilience under emergencies: a microscopic simulation framework 突发事件下城市路网弹性：微观模拟框架

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-10 DOI: 10.1016/j.trd.2025.105158

Weiping Wang , Yingying Wan , Qian Liu , Hao Liu , Chunhong Li , Saini Yang , Xinjun Lai , Yimeng Liu , Qin Yue

{"title":"Urban road network resilience under emergencies: a microscopic simulation framework","authors":"Weiping Wang , Yingying Wan , Qian Liu , Hao Liu , Chunhong Li , Saini Yang , Xinjun Lai , Yimeng Liu , Qin Yue","doi":"10.1016/j.trd.2025.105158","DOIUrl":"10.1016/j.trd.2025.105158","url":null,"abstract":"<div><div>Urban transportation systems face growing risks from climate-induced disasters and infrastructure disruptions. This study presents a resilience-oriented evaluation framework integrating microscopic traffic simulation via SUMO to examine both structural and functional performance of urban road networks facing four distinct emergency scenarios. Utilized in the context of China’s Greater Bay Area, the framework quantifies system responses in terms of travel delays, congestion propagation, and network connectivity. Results indicate that (i) peak-hour delays are nearly six times higher than off-peak under severe disturbances; (ii) flood events lead to the highest departure delays despite limited changes in travel distance; and (iii) failure of coastal bridges triggers significant structural fragmentation. These findings highlight spatial temporal vulnerabilities in urban transport systems and provide actionable insights for emergency traffic management, climate adaptation planning, and resilient infrastructure design in rapidly urbanizing regions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105158"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731230","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

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

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-24 DOI: 10.1016/j.trd.2025.105162

Yingxu Chen, Liying Song

引用次数: 0

How will arctic shipping emissions evolve? A spatiotemporal topology-aware transformer approach 北极航运排放将如何演变？一种时空拓扑感知转换器方法

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-06 DOI: 10.1016/j.trd.2025.105134

Younghwi Kim , Jaehoon Lee , Hyerim Bae , Sunghyun Sim

{"title":"How will arctic shipping emissions evolve? A spatiotemporal topology-aware transformer approach","authors":"Younghwi Kim , Jaehoon Lee , Hyerim Bae , Sunghyun Sim","doi":"10.1016/j.trd.2025.105134","DOIUrl":"10.1016/j.trd.2025.105134","url":null,"abstract":"<div><div>This study proposes a novel spatiotemporal forecasting framework that integrates spatial clustering with a transformer-based model, termed the spatiotemporal topology-aware transformer (SToT), to predict maritime emissions across the Arctic region. Using Arctic Ship Traffic Data (ASTD), node-based representations are constructed through spatial clustering, enabling the joint learning of spatial correlations and temporal patterns using SToT. Experimental results demonstrate that our model outperforms existing methods by 17% in terms of the root mean square error, relative standard error, and node-level Pearson correlation coefficient, validating its predictive accuracy and robustness. According to SToT-based forecasts extending through 2030, total emissions are projected to increase by 30.8% compared with 2022 emissions, with N<sub>2</sub>O and CO<sub>2</sub> exhibiting particularly significant growth. Furthermore, this study discusses the environmental, scientific, and political implications of maritime emissions. The proposed framework offers a scalable and accurate solution for climate risk assessments and sustainable policy planning in the Arctic region.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105134"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145689757","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

Environmental challenges in electrification: Traffic-induced non-exhaust PM2.5 emissions in Cangzhou, China 电气化带来的环境挑战：中国沧州交通引起的非排气PM2.5排放

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-01 DOI: 10.1016/j.trd.2025.105137

Lewen Wang , Like Jiang , Pengfei Fan , Wei Hao , Zeyu Zhang , Zhiqiang Zhai , Lei Yu , Guohua Song , Yizheng Wu

{"title":"Environmental challenges in electrification: Traffic-induced non-exhaust PM2.5 emissions in Cangzhou, China","authors":"Lewen Wang , Like Jiang , Pengfei Fan , Wei Hao , Zeyu Zhang , Zhiqiang Zhai , Lei Yu , Guohua Song , Yizheng Wu","doi":"10.1016/j.trd.2025.105137","DOIUrl":"10.1016/j.trd.2025.105137","url":null,"abstract":"<div><div>Non-exhaust PM<sub>2.5</sub> emissions are often overlooked despite their increasingly significant contribution. Including non-exhaust emissions to establish a complete road emissions inventory is critical for formulating effective control strategies and reducing health risks especially during the fleet electrification process. This study developed a PM<sub>2.5</sub> emission estimation framework incorporating exhaust and non-exhaust sources, validated by roadside PM<sub>2.5</sub> concentrations from a mobile cruise sensing system in Cangzhou, China. The results found that traffic-related PM<sub>2.5</sub> concentrations contributing to roadside environments exhibit hourly variations, with an average proportion of 44.05 %. Analysis of peak-hour PM<sub>2.5</sub> emissions revealed the non-exhaust sources dominate (91.38 %). Under scenarios with 35 %, 50 %, 75 %, and 100 % electrification rates, PM<sub>2.5</sub> emissions will decrease by 6.96 %, 11.01 %, 17.77 %, and 24.53 %, respectively, compared to the baseline. This study highlights that fleet electrification will not completely eliminate PM<sub>2.5</sub> emissions, and helps identify priorities and develop targeted emission control policies for medium-sized populous cities in developing countries.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105137"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651052","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

Bridging the gap in workplace charging requirements between demand and supply sides 弥合供需双方在工作场所收费要求方面的差距

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-11-30 DOI: 10.1016/j.trd.2025.105136

Ryosuke Kataoka, Ken Hidaka, Tomoki Nishi

引用次数: 0

Before–after study of pavement roughness impact on vehicle fuel consumption and emissions 路面粗糙度对车辆油耗和排放影响的前后对比研究

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-11-28 DOI: 10.1016/j.trd.2025.105131

David Llopis-Castelló , Camino Arce-Blanco , José Carlos Valdecantos-Álvarez

{"title":"Before–after study of pavement roughness impact on vehicle fuel consumption and emissions","authors":"David Llopis-Castelló , Camino Arce-Blanco , José Carlos Valdecantos-Álvarez","doi":"10.1016/j.trd.2025.105131","DOIUrl":"10.1016/j.trd.2025.105131","url":null,"abstract":"<div><div>This study evaluates the impact of pavement rehabilitation on vehicle fuel consumption and CO<sub>2</sub> emissions along the M−50 motorway in Madrid (Spain) using a before-and-after approach based on connected vehicle data. The methodology integrates fleet composition analysis, filtering for free-flow conditions, segmentation into homogeneous sections, and the definition of a representative “design vehicle” to isolate the effect of improved surface condition. Complementary statistical tests and disaggregated analyses by vehicle type and road grade confirm that an average 27% reduction in pavement roughness led to approximately 10% decreases in both fuel consumption and CO<sub>2</sub> emissions per vehicle, with greater savings on uphill segments. When extrapolated to actual traffic volumes, the rehabilitated sections are estimated to save over 5.5 million litres of fuel and 15,000 tonnes of CO<sub>2</sub> annually in one travel direction. These findings highlight pavement maintenance as an effective strategy for improving transport energy efficiency and contributing to road transport decarbonisation goals.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105131"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145611671","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 generative physics-informed reinforcement learning-based approach for construction of representative drive cycle 一种基于生成物理的强化学习方法构建具有代表性的驾驶循环

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-17 DOI: 10.1016/j.trd.2025.105150

Amirreza Yasami, Mohamadali Tofigh, Mahdi Shahbakhti, Charles Robert Koch

{"title":"A generative physics-informed reinforcement learning-based approach for construction of representative drive cycle","authors":"Amirreza Yasami, Mohamadali Tofigh, Mahdi Shahbakhti, Charles Robert Koch","doi":"10.1016/j.trd.2025.105150","DOIUrl":"10.1016/j.trd.2025.105150","url":null,"abstract":"<div><div>Accurate driving cycle construction is crucial for vehicle design, fuel economy analysis, and environmental impact assessments. A generative Physics Informed Expected (State Action Reward State Action) SARSA-Monte Carlo (PIESMC) approach that constructs representative driving cycles by capturing transient dynamics, acceleration, deceleration, idling, and road grade transitions while ensuring model fidelity is introduced. Leveraging a physics-informed reinforcement learning framework with Monte Carlo sampling, PIESMC delivers efficient cycle construction with reduced computational cost. Experimental evaluations on two real-world datasets demonstrate that PIESMC replicates key kinematic and energy metrics, achieving up to an 83.9 % reduction in cumulative kinematic fragment errors compared to the Micro-trip-based (MTB) method and a 61.9 % reduction relative to the Markov-chain-based (MCB) method. Moreover, it is over an order of magnitude faster than conventional techniques, delivering more than a 30 ×  decrease in computational time. Analyses of vehicle-specific power distributions and wavelet-transformed frequency content further confirm its ability to reproduce experimental central tendencies and variability.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105150"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145785151","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

Viscoelastic damage equivalence for asphalt mastics under cyclic temperature variations: Towards Climate-Resilient-Pavements 循环温度变化下沥青胶料的粘弹性损伤等效：走向气候弹性路面

IF 7.7 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2026-02-01 Epub Date: 2025-12-10 DOI: 10.1016/j.trd.2025.105157

He Zhan , Huining Xu , Luís Guilherme de Picado-Santos , Iran Rocha Segundo , Fengwei An , Jinqi Feng , Yiqiu Tan

{"title":"Viscoelastic damage equivalence for asphalt mastics under cyclic temperature variations: Towards Climate-Resilient-Pavements","authors":"He Zhan , Huining Xu , Luís Guilherme de Picado-Santos , Iran Rocha Segundo , Fengwei An , Jinqi Feng , Yiqiu Tan","doi":"10.1016/j.trd.2025.105157","DOIUrl":"10.1016/j.trd.2025.105157","url":null,"abstract":"<div><div>Escalating climate change with pronounced diurnal temperature variations impacts asphalt pavement performance and environmental sustainability. This accelerates fatigue damage through repeated thermal cycling. Unlike traditional simplified thermal models, our approach integrates rheological characterization with accelerated thermal cycling for asphalt mastics to develop a comprehensive viscoelastic damage equivalence method. The innovation establishes time–temperature-cyclic thermal stress equivalence through stress relaxation analysis. It also introduces a time–temperature-cyclic thermal stress shift factor that incorporates Williams-Landel-Ferry (WLF) parameters with cyclic temperature factors. Master curve analysis establishes the crossover frequency as the governing parameter for the shift factor, due to its physical and statistical merits. The modified Coffin-Manson model yielded viscoelastic damage equivalence factors, validated within ± 20 % relative error. The method yields a preliminary adaptability zoning map, identifying northwestern regions (Xinjiang, Tibet, and Qinghai) and the northeastern provinces as high-priority zones for fatigue-resistant materials. This provides a framework for material selection and development in temperature-fluctuation-prone regions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"151 ","pages":"Article 105157"},"PeriodicalIF":7.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731231","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