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Transportation Research Part D-transport and Environment最新文献

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Life cycle assessment of various pavement rehabilitation techniques: A case study
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104476
Laura Schmitt, Annie Levasseur, Michel Vaillancourt, Éric Lachance-Tremblay
{"title":"Life cycle assessment of various pavement rehabilitation techniques: A case study","authors":"Laura Schmitt,&nbsp;Annie Levasseur,&nbsp;Michel Vaillancourt,&nbsp;Éric Lachance-Tremblay","doi":"10.1016/j.trd.2024.104476","DOIUrl":"10.1016/j.trd.2024.104476","url":null,"abstract":"<div><div>This study investigated the environmental performance of three pavement rehabilitation techniques: reconstruction, full-depth reclamation (FDR) with stabilization (using cement and bitumen), and FDR without stabilization. The goal was to provide decision-makers with context-specific life cycle assessment (LCA) data to inform sustainable road asset management. The analysis employed OpenLCA software and the ecoinvent database, utilizing the IMPACTWorld + methodology. The results revealed significant environmental benefits for the FDR techniques compared to traditional reconstruction. FDR with stabilization showed a lower impact in four of the five categories considered in this study. Reconstruction was found to be the worst in most of the categories considered. Moreover, the results showed that transportation distance can have a significant impact on the results, especially the long-term climate change, fossil energy use and human toxicity. Finally, the results showed that the lifespan considered is a very important parameter to consider as it can influence the results. The study underscored the necessity of context-specific LCAs to account for variations in local conditions, transportation distances, and material properties. It emphasized the potential of FDR techniques to support circular economy principles and reduce environmental impacts.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104476"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142779","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
Accuracy impact analysis for speed-based dynamic updates of regional road-traffic noise emissions
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104578
Ziqin Lan, Ying Rong, Feng Li
{"title":"Accuracy impact analysis for speed-based dynamic updates of regional road-traffic noise emissions","authors":"Ziqin Lan,&nbsp;Ying Rong,&nbsp;Feng Li","doi":"10.1016/j.trd.2024.104578","DOIUrl":"10.1016/j.trd.2024.104578","url":null,"abstract":"<div><div>Dynamic updates of regional road traffic noise emissions are essential for generating accurate dynamic noise maps. However, existing research has not thoroughly analyzed the accuracy of key components: road-segment classification and update methods. This study addresses this gap by using high-temporal-resolution traffic speed and noise data. Specifically, we constructed 34 types of classification features from speed sequence data, with each type having 4 forms, to categorize unmonitored road segments into categories of monitored road segments based on the availability of noise-related data. We applied the direct update method and difference-based update method families to periodically update noise emissions. We employed the leave-one-out cross-validation method to verify the accuracy of various combinations of features and update methods, and analyzed their error sources. Based on the findings, we provide recommendations for dynamically updating regional road traffic noise emissions based on speed data, offering valuable insights for policymakers in environmental management.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104578"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142781","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
Changes in mode use after residential relocation: Attitudes and the built environment
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104556
Katja Schimohr , Eva Heinen , Petter Næss , Joachim Scheiner
{"title":"Changes in mode use after residential relocation: Attitudes and the built environment","authors":"Katja Schimohr ,&nbsp;Eva Heinen ,&nbsp;Petter Næss ,&nbsp;Joachim Scheiner","doi":"10.1016/j.trd.2024.104556","DOIUrl":"10.1016/j.trd.2024.104556","url":null,"abstract":"<div><div>After changes in the spatial environment induced by residential relocations, mode choice is prone to reconsideration. This study analyzes a panel dataset of 661 movers in Germany who were questioned before and after a move. We aim to determine the relationships between changes in the built environment, in travel attitudes, and in mode choice, accounting for possibly bi-directional relationships. Structural equation models are estimated for four different modes (car, bike, walking, and public transport). We observe that changes in the built environment impact mode choice: After relocating to more urban locations, active mode use increases while car and – unexpectedly – public transport use decrease. Travel attitudes do not directly influence residential location choice, only indirectly via search preferences. There is limited evidence for residential determination as attitudes towards most travel modes remain stable. We only observe changes in walking attitudes in response to changes in the built environment.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104556"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
People with disabilities and transit use: Findings from nationwide data in India
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104558
G.M. Hridya , Agnivesh Pani , Varun Varghese , Gaurav Tripathi , Avinash Unnikrishnan
{"title":"People with disabilities and transit use: Findings from nationwide data in India","authors":"G.M. Hridya ,&nbsp;Agnivesh Pani ,&nbsp;Varun Varghese ,&nbsp;Gaurav Tripathi ,&nbsp;Avinash Unnikrishnan","doi":"10.1016/j.trd.2024.104558","DOIUrl":"10.1016/j.trd.2024.104558","url":null,"abstract":"<div><div>The travel behaviour of people with disabilities (PWDs) has been observed to differ from that of people without disabilities despite having similar needs and wants. PWDs encounter various obstacles restricting their mobility and ability to participate in activities. In this paper, we use a large nationwide dataset covering 102,977 PWDs to understand transit usage and barriers faced by PWDs while travelling at disaggregate and aggregate levels. The analysis comprises five different models: binary logit and multinomial logit at the disaggregate level, ordinary least square regression, spatial lag model, and spatial error model at the aggregate level. Findings reveal that transit use is significantly low among female PWDs, PWDs who lost work, PWDs who need a caregiver, and regions with a high percentage of workers. It is also observed that the level of marginalised populations in a region consistently shows a negative impact on public transport usage across most disabilities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104558"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143138","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
Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104538
Jinli Liu , Gian Antariksa , Shriyank Somvanshi , Subasish Das
{"title":"Revealing equity gaps in pedestrian crash data through explainable artificial intelligence clustering","authors":"Jinli Liu ,&nbsp;Gian Antariksa ,&nbsp;Shriyank Somvanshi ,&nbsp;Subasish Das","doi":"10.1016/j.trd.2024.104538","DOIUrl":"10.1016/j.trd.2024.104538","url":null,"abstract":"<div><div>Pedestrian crashes represent a critical traffic safety issue, often resulting in fatal outcomes and raising significant equity concerns. This study analyzed detailed records of pedestrian-involved crashes in California from 2018 to 2021, employing a novel clustering framework enhanced by the SHapley Additive exPlanations approach. The proposed method significantly enhanced interpretability by effectively capturing complex non-linear relationships and interactions among features. The results indicate that impairment status and lighting conditions are pivotal in severe crash outcomes, while broader societal and demographic factors are more substantially associated with less severe cases. Non-injury pedestrian crashes tend to occur in less underserved, more resilient communities, whereas fatal crashes are more common in underserved communities with poor lighting and incomplete pedestrian infrastructure, particularly when pedestrians are under the influence of drugs or alcohol. The findings underscore the necessity for developing comprehensive safety measures that not only address situational risks but also consider broader societal conditions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104538"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143142","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
Greenhouse gas emissions and road infrastructure in Europe: A machine learning analysis
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2025.104602
Cosimo Magazzino , Alberto Costantiello , Lucio Laureti , Angelo Leogrande , Tulia Gattone
{"title":"Greenhouse gas emissions and road infrastructure in Europe: A machine learning analysis","authors":"Cosimo Magazzino ,&nbsp;Alberto Costantiello ,&nbsp;Lucio Laureti ,&nbsp;Angelo Leogrande ,&nbsp;Tulia Gattone","doi":"10.1016/j.trd.2025.104602","DOIUrl":"10.1016/j.trd.2025.104602","url":null,"abstract":"<div><div>This paper explores the determinants of greenhouse gas (GHG) emissions in Europe, focusing on transportation-related variables. By combining classical econometric models with Machine Learning (ML) techniques, we analyze data spanning from 2013 to 2021. The empirical findings highlight the complex relationship between newer passenger cars and GHG emissions, noting the significant impact of their production and increased usage. Conversely, the adoption of alternative fuel vehicles is found to significantly reduce emissions. This is further supported by ML models, which emphasize the critical role of car density and alternative fuel vehicles in determining emissions. Policy implications suggest the need for targeted interventions, including the promotion of electric and hybrid vehicles, enhancements in transportation infrastructure, and the implementation of economic incentives for clean technologies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104602"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editorial travel demand management intervention for a greener environment
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104576
Ye Tian, Haibo Chen, Wei Liu, Yacan Wang
{"title":"Editorial travel demand management intervention for a greener environment","authors":"Ye Tian,&nbsp;Haibo Chen,&nbsp;Wei Liu,&nbsp;Yacan Wang","doi":"10.1016/j.trd.2024.104576","DOIUrl":"10.1016/j.trd.2024.104576","url":null,"abstract":"","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104576"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143169","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
Achieving affordable, clean shipping by integrating ship design and clean fuels
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104579
Nguyen N.D. Cao , Denis Andrianov, Andrea Vecchi, Dominic Davis, Michael John Brear
{"title":"Achieving affordable, clean shipping by integrating ship design and clean fuels","authors":"Nguyen N.D. Cao ,&nbsp;Denis Andrianov,&nbsp;Andrea Vecchi,&nbsp;Dominic Davis,&nbsp;Michael John Brear","doi":"10.1016/j.trd.2024.104579","DOIUrl":"10.1016/j.trd.2024.104579","url":null,"abstract":"<div><div>This work assesses the technical, economic and greenhouse gas (GHG) emission performance of different, low emission shipping options. It shows how the levelized cost of shipping (LCOS) and lifecycle GHG emissions depend not only on the fuels and propulsion systems used, but also on key vessel design parameters. A case study of a conventional, 250 kt deadweight, iron ore carrier is shown to have a similar LCOS as a 350 kt deadweight vessel with a reduced range, lower design speed and green hydrogen gas fuelling, <em>without compromising on the cargo delivered over some period</em>. The resulting ‘green premium’ is much smaller than historical iron ore price fluctuations and towards the lower end of the IMO’s currently discussed carbon price range, with similar results also achievable with other, low emission fuels. This suggests that significant increases in shipping costs may not be inevitable as carbon-based emission policies are implemented.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104579"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resilience assessment of an urban rail transit network under natural disasters
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104587
Jinqu Chen , Xiaowei Liu , Xinyue Hu , Bo Du , Yong Yin
{"title":"Resilience assessment of an urban rail transit network under natural disasters","authors":"Jinqu Chen ,&nbsp;Xiaowei Liu ,&nbsp;Xinyue Hu ,&nbsp;Bo Du ,&nbsp;Yong Yin","doi":"10.1016/j.trd.2024.104587","DOIUrl":"10.1016/j.trd.2024.104587","url":null,"abstract":"<div><div>Assessment of the resilience of an urban rail transit (URT) network under natural disasters is of practical importance, especially with the intensification of global warming. This study develops a train schedule-based resilience assessment model to assess the resilience of a URT network under natural disasters, addressing a critical gap in existing research that often ignores the influence of the train schedule on resilience assessment. Numerical experiments on the Chengdu Metro network demonstrate that the travel time-based performance indicator can effectively evaluate the network performance, revealing that the train schedule has a significant influence on the network’s resilience. Counties Shuangliu and Wuhou are identified as the most important county-level administrative districts in Chengdu during rainstorms and strong wind events, respectively. Furthermore, this study explores the influence of parameters on the network’s resilience and provides some policy implications based on the results obtained from the sensitivity analysis.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104587"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143176","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
Electric truck adoption and charging development: Policy insights from a dynamic model
IF 7.3 1区 工程技术
Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104515
Zeinab Raoofi , Morteza Mahmoudi , Anna Pernestål
{"title":"Electric truck adoption and charging development: Policy insights from a dynamic model","authors":"Zeinab Raoofi ,&nbsp;Morteza Mahmoudi ,&nbsp;Anna Pernestål","doi":"10.1016/j.trd.2024.104515","DOIUrl":"10.1016/j.trd.2024.104515","url":null,"abstract":"<div><div>The adoption of electric heavy trucks holds great potential for decarbonising freight transportation, but the market remains nascent. Electrification of the road freight transportation system is complex, involving many interrelated variables, including vehicles, charging infrastructure, and various stakeholders. Effective policy interventions are crucial for accelerating the transition, and developing dynamic models is helpful for understanding the dynamics involved. This study develops a system dynamics model to explore the long-term adoption of electric trucks and charging infrastructure development, considering technology maturity, awareness, and cost. Using real-world data from Sweden (2017–2060), the model analyses various policy levers. The results show that increasing subsidies for charging stations leads to a considerable rise in electric truck adoption, while investments in vehicle technology maturity are the most cost-efficient when financial resources are constrained. By modelling policy interventions endogenously, the study highlights the dynamic impact of policymaking on accelerating the transition to sustainable road freight transport.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104515"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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