Transportation Research Part D-transport and Environment最新文献

Decision pathways for road freight decarbonization 公路货运脱碳决策路径

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-30 DOI: 10.1016/j.trd.2025.104831

Phil Churchman, Thijs Dekker, Kate Pangbourne

{"title":"Decision pathways for road freight decarbonization","authors":"Phil Churchman, Thijs Dekker, Kate Pangbourne","doi":"10.1016/j.trd.2025.104831","DOIUrl":"10.1016/j.trd.2025.104831","url":null,"abstract":"<div><div>The road freight system is complex, with many system dependencies. These dependencies mean that individual actors are often unable to take radical decarbonization action alone, and system-level decisions are required. Decision dependencies mean decision pathways are needed specifying key decisions and decision sequencing.</div><div>Five decision pathway workshops were held with mixed groups of industry actors, policymakers and experts. Decarbonization barriers, enablers and decisions were identified and dependencies between these specified. A new software tool “Pathplotter” was used to facilitate pathway definition and analysis, and workshop commentary was qualitatively analyzed using NVivo.</div><div>It was found that it is possible for mixed actor groups to define decision pathways, and requirements to operationalize this approach are identified. While techno-economic factors remain important, most barriers, enablers and required decisions are found to be socio-technical, political or related to decision governance. This reinforces the need for more research into these understudied transition aspects.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104831"},"PeriodicalIF":7.3,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168799","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

Criticality-vulnerability assessment of regional pavement infrastructure network to future heat stress 区域路面基础设施网络对未来热应力的临界脆弱性评价

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-29 DOI: 10.1016/j.trd.2025.104828

Chao Wang, Jiayu Gu, Guanyu Gong

引用次数: 0

Electric vehicles: How do preferences differ for additional versus replacement household vehicles? 电动汽车：对于额外的家用汽车和替换家用汽车的偏好有何不同？

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-28 DOI: 10.1016/j.trd.2025.104833

Felita Ong , Sk. Md. Mashrur , Moataz Mohamed , Khandker Nurul Habib

引用次数: 0

Spatial heterogeneity in human mobility responses to London’s ultra-low emission zone expansion 伦敦超低排放区扩张对人类流动性的空间异质性响应

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-27 DOI: 10.1016/j.trd.2025.104810

Yikang Wang, Chen Zhong

引用次数: 0

Assessing the cold weather impact on battery electric transit buses 评估寒冷天气对纯电动公交的影响

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-27 DOI: 10.1016/j.trd.2025.104809

Jintao Gu, Quanhuan Liao, K. Max Zhang

{"title":"Assessing the cold weather impact on battery electric transit buses","authors":"Jintao Gu, Quanhuan Liao, K. Max Zhang","doi":"10.1016/j.trd.2025.104809","DOIUrl":"10.1016/j.trd.2025.104809","url":null,"abstract":"<div><div>This study investigated the impact of cold weather on the energy performance of battery-electric buses (BEBs), using a real-world dataset from seven BEBs operating over two years across complex 41 routes in Tompkins County, New York. Novel Optimal Temperature Zone (OTZ) baseline models were developed to estimate BEB performance under ideal temperatures, and a comprehensive assessment of cold weather effects was conducted. Findings showed that the total energy consumed and regenerated increased by an average of 48.0 % in the −4 °C to 0 °C range, compared to the OTZ baseline prediction for the same trips, where the OTZ is defined as 16 °C to 30 °C. Across the broader –12 °C to 10 °C range, the average increase was 28.6 %. We elucidated the roles of different vehicle components (e.g., the charging efficiency of regenerative braking, battery heating, HVAC systems) in the impact of cold weather on energy performance, considering urban vs. rural differences and operating conditions. Recommendations were provided for BEB operators and manufacturers to improve efficiency in cold climates, and vital insights were offered for policymakers to develop effective transit electrification strategies in cold weather.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104809"},"PeriodicalIF":7.3,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138761","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

Impact of electric vehicle downsizing on shared mobility considering externalities 考虑外部性的电动汽车小型化对共享出行的影响

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-26 DOI: 10.1016/j.trd.2025.104794

Li Li , Yuling Shi , Dianchao Lin , Yongliang Lu

{"title":"Impact of electric vehicle downsizing on shared mobility considering externalities","authors":"Li Li , Yuling Shi , Dianchao Lin , Yongliang Lu","doi":"10.1016/j.trd.2025.104794","DOIUrl":"10.1016/j.trd.2025.104794","url":null,"abstract":"<div><div>The global trend of vehicle electrification has led to the rise of affordable, compact models. This study examines the impact of vehicle downsizing on car-sharing systems using agent-based simulations. We present a vehicle dispatching model that matches vehicles to demand based on size and ride-splitting rules. To explore how vehicle size affects traffic operations, we employ the macroscopic fundamental diagram. We focus on two-seat vehicles as representatives of small models and the shared automated electric vehicle system as a prototype for effective car-sharing. Utilizing the Manhattan network, we design scenarios to assess the performance of dispatching models, optimal fleet sizes, ride-splitting effects, and the influence of compact vehicles on customer experience and social benefits. Results show that substituting standard five-seat vehicles with 80% two-seat vehicles markedly improves performance across various metrics, highlighting the significant potential of small-sized vehicles in future car-sharing systems. Sensitivity analysis confirm the robustness of our findings.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104794"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134508","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

Potential greenhouse gas emission reduction from active transportation: Comparing travel behavior patterns 主动交通的潜在温室气体减排：比较出行行为模式

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-26 DOI: 10.1016/j.trd.2025.104835

Yingjie Guo , Alexander Y. Bigazzi , Xiaohong Chen

{"title":"Potential greenhouse gas emission reduction from active transportation: Comparing travel behavior patterns","authors":"Yingjie Guo , Alexander Y. Bigazzi , Xiaohong Chen","doi":"10.1016/j.trd.2025.104835","DOIUrl":"10.1016/j.trd.2025.104835","url":null,"abstract":"<div><div>Most research on active travel’s greenhouse gas (GHG) impacts focuses exclusively on mode shift, without examining accompanying changes in the frequency and length of trips. This study investigates the potential reduction of total GHG emissions from the expanded use of active transportation within daily travel patterns. Three scenarios are designed to represent different scopes of travel pattern changes, including changes in travel mode, the number of daily trips, and trip lengths. For each scenario, active and inactive travel mode users are compared using propensity score matching applied to the United States National Household Travel Survey data. A generalized mixed-effect model is employed to estimate the impact of increasing use of active transportation on total GHG emissions from travel. The results show that for each additional mile of daily active travel, an individual’s GHG emissions from travel are reduced by 37 % (176 g CO<sub>2</sub>e) based only on mode shift (with fixed daily trips), by 48 % (861 g CO<sub>2</sub>e) if trip lengths are also allowed to change (with a fixed number of daily trips), and by 51 % (972 g CO<sub>2</sub>e) with no constraint on daily trips. Mode shift primarily affects the shortest (and lowest-emitting) trips, so mode shift alone represents only 1/5th of the potential GHG benefits of increasing active transportation in a way that also reduces trip lengths through destination changes. This study offers a macro-level understanding of the realistic GHG reduction of expanding active transportation and provides a novel analytical framework to evaluate travel behavior changes using cross-sectional data.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104835"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138760","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

Assessing the impacts of transit level-of-service and reliability on modal split 评估运输服务水平和可靠性对模式分割的影响

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-26 DOI: 10.1016/j.trd.2025.104826

Seyedsoheil Sharifiasl , Subham Kharel , Qisheng Pan , Jianling Li

{"title":"Assessing the impacts of transit level-of-service and reliability on modal split","authors":"Seyedsoheil Sharifiasl , Subham Kharel , Qisheng Pan , Jianling Li","doi":"10.1016/j.trd.2025.104826","DOIUrl":"10.1016/j.trd.2025.104826","url":null,"abstract":"<div><div>Implementing mobility services for low-income groups is crucial for promoting equity and sustainability in U.S. cities, where access to opportunities is often unequal. Planning a multi-modal system that meets the needs of marginalized populations while encouraging drivers to shift to transit services requires an understanding of the difference between user groups in the effects of transit service quality and reliability on model split. This study employs machine learning techniques to model the commuting mode choices of low-income and general users, using data for the Dallas/Fort Worth metropolitan area over 15 years. By analyzing built environment, transportation, socio-demographics, and transit level-of-service variables, we find that low-income user groups rely more on public transit when it offers greater coverage and accessibility. Meanwhile, the general user population tends to favor single-mode transit services with fewer transfers and shorter waiting times. Penalty time has a greater impact on low-income individuals, while built environment factors have a stronger effect on the general population. Our results provide insights into developing equitable, multimodal transportation systems.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104826"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134509","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

How to calculate CO2 emissions and emission reduction effectiveness of underground logistics systems using the life cycle assessment 如何利用生命周期评价方法计算地下物流系统的CO2排放量和减排效果

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-26 DOI: 10.1016/j.trd.2025.104832

Lingxiang Wei , Dongjun Guo , Junyuan Ji , Hao Zuo , Lining Zheng , Zhilong Chen , Yancui Gao

{"title":"How to calculate CO2 emissions and emission reduction effectiveness of underground logistics systems using the life cycle assessment","authors":"Lingxiang Wei , Dongjun Guo , Junyuan Ji , Hao Zuo , Lining Zheng , Zhilong Chen , Yancui Gao","doi":"10.1016/j.trd.2025.104832","DOIUrl":"10.1016/j.trd.2025.104832","url":null,"abstract":"<div><div>Quantifying CO<sub>2</sub> emissions and the reduction efficiency of an underground logistics system (ULS) is crucial for achieving a carbon–neutral city. We constructed a quantitative model based on the life cycle assessment and system dynamics, and verified it using a case study in Wuhan City. The results show that: (i) The constructed model can calculate the CO<sub>2</sub> emissions of the ULS, and demonstrated that the largest CO<sub>2</sub> emissions of the four stages are building material production; further, the stages of ULS operation demonstrate CO<sub>2</sub> emission reduction potential; (ii) the life cycle CO<sub>2</sub> emission reduction of ULS is negatively correlated with the size of the ULS and energy consumption of ULS carriers, and positively correlated with the freight volume of ULS. These findings provide theoretical support and data reference for our study of urban logistics decarbonization and achieving carbon neutrality in the fields of urban transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104832"},"PeriodicalIF":7.3,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134510","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

Potential of scheduling shared autonomous ride-hailing in intelligent photovoltaic microgrids 智能光伏微电网调度共享自主网约车的潜力

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-05-23 DOI: 10.1016/j.trd.2025.104822

Meiting Tu , Xiyang Chu , Tongtong Shi , Dominique Gruyer , Ye Li

{"title":"Potential of scheduling shared autonomous ride-hailing in intelligent photovoltaic microgrids","authors":"Meiting Tu , Xiyang Chu , Tongtong Shi , Dominique Gruyer , Ye Li","doi":"10.1016/j.trd.2025.104822","DOIUrl":"10.1016/j.trd.2025.104822","url":null,"abstract":"<div><div>The integration of renewable energy, particularly solar power, has resulted in the “duck curve,” characterized by midday surpluses and evening demand peaks. The rise of electric vehicles (EVs) has further exacerbated this issue. However, few studies have optimized the charging and scheduling strategies of electric ride-hailing services in coordination with green energy. This study selects a typical research scenario of SAEVs (Shared Autonomous Electric Vehicles) and proposes a framework that incorporates dynamic charging and ride-hailing dispatching, with a focus on the impact of SAEVs on the power grid, photovoltaic power companies, and ride-hailing platforms under varying regional demands and weather conditions. The results demonstrate that photovoltaic utilization and total platform benefits can be increased by 32.8% and 6.62%, while achieving a peak-shaving and valley-filling benefit of 8.82% on sunny days. These findings underscore the potential of coordinated EV dispatching for grid stability and provide valuable insights for carbon neutrality strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"145 ","pages":"Article 104822"},"PeriodicalIF":7.3,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124202","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