{"title":"The potential uptake and climate impacts of Hydrogen-Fuel-Cell vehicles in Beijing","authors":"Ying Zhang, Xingjun Huang, Junbei Liu, Chengxiang Zhuge","doi":"10.1016/j.trd.2026.105253","DOIUrl":"https://doi.org/10.1016/j.trd.2026.105253","url":null,"abstract":"","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"84 1","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110845","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}
Pub Date : 2026-02-03DOI: 10.1016/j.trd.2026.105245
Donghwan Ki, Zhenhua Chen
{"title":"From images to insights: ChatGPT and Google Street View for walkability assessments","authors":"Donghwan Ki, Zhenhua Chen","doi":"10.1016/j.trd.2026.105245","DOIUrl":"https://doi.org/10.1016/j.trd.2026.105245","url":null,"abstract":"","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"8 1","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110846","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}
Pub Date : 2026-02-01DOI: 10.1016/j.trd.2026.105250
Itay Dabush, Chen Cohen
{"title":"Hybrids in the middle: PHEVs as bridge or lock-in to policy balance","authors":"Itay Dabush, Chen Cohen","doi":"10.1016/j.trd.2026.105250","DOIUrl":"https://doi.org/10.1016/j.trd.2026.105250","url":null,"abstract":"","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"91 1","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110265","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}
This study explores how perceived streetscape quality and bike lane types—striped and protected—are associated with urban cycling behavior. Using computer vision technology to analyze street view images from Berlin, Germany, we assessed visual safety scores and their association with cycling trips. Our findings reveal that both perceived safety and bike lanes significantly enhance cycling activity; however, the interplay between the two varies by the type of bike lanes. Striped bike lanes are more effective than protected bike lanes on streets perceived as safe, while protected bike lanes provide greater benefits in visually unsafe areas compared to striped bike lanes. These results imply that by enhancing the visual appeal and safety of streetscapes alongside bike lane installations, cities can promote active transportation, fostering more sustainable, healthy, and vibrant urban environments.
{"title":"Perceived streetscape quality and bike lane effectiveness: a computer vision approach","authors":"Uijeong Hwang , Patricia L. Mokhtarian , Bon Woo Koo , Subhrajit Guhathakurta","doi":"10.1016/j.trd.2026.105248","DOIUrl":"10.1016/j.trd.2026.105248","url":null,"abstract":"<div><div>This study explores how perceived streetscape quality and bike lane types—striped and protected—are associated with urban cycling behavior. Using computer vision technology to analyze street view images from Berlin, Germany, we assessed visual safety scores and their association with cycling trips. Our findings reveal that both perceived safety and bike lanes significantly enhance cycling activity; however, the interplay between the two varies by the type of bike lanes. Striped bike lanes are more effective than protected bike lanes on streets perceived as safe, while protected bike lanes provide greater benefits in visually unsafe areas compared to striped bike lanes. These results imply that by enhancing the visual appeal and safety of streetscapes alongside bike lane installations, cities can promote active transportation, fostering more sustainable, healthy, and vibrant urban environments.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105248"},"PeriodicalIF":7.7,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146070872","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}
Pub Date : 2026-01-29DOI: 10.1016/j.trd.2026.105226
Jialu Yang, Danesh Hosseinpanahi, Bo Zou, Jane Lin
Hydrogen fuel cell trucks (HFCTs) are a promising alternative to diesel trucks (DTs) for decarbonizing long-haul freight while retaining comparable operational performance. This study investigates a large scale HRS siting problem with the aim of minimizing the capital investment in HRS construction and hydrogen delivery cost. A hybrid delivery method is considered: hydrogen is delivered from production hubs by the existing natural gas pipeline network to storage reservoirs, then by truck to HRSs. Assuming 10% of the 2050 Freight Analysis Framework Version 5 (FAF5) truck flow as HFCTs on the U.S. continental interstate highway network, results show that pipeline-based delivery offers major economic advantages over truck-based delivery. Findings highlight the strategic value of leveraging existing pipeline infrastructure and suggest that targeted policy support for hydrogen delivery and refueling infrastructure is essential for facilitating the cost-effective adoption of HFCTs in long-haul freight.
{"title":"Powering long haul freight: hydrogen refueling station siting using pipeline infrastructure","authors":"Jialu Yang, Danesh Hosseinpanahi, Bo Zou, Jane Lin","doi":"10.1016/j.trd.2026.105226","DOIUrl":"10.1016/j.trd.2026.105226","url":null,"abstract":"<div><div>Hydrogen fuel cell trucks (HFCTs) are a promising alternative to diesel trucks (DTs) for decarbonizing long-haul freight while retaining comparable operational performance. This study investigates a large scale HRS siting problem with the aim of minimizing the capital investment in HRS construction and hydrogen delivery cost. A hybrid delivery method is considered: hydrogen is delivered from production hubs by the existing natural gas pipeline network to storage reservoirs, then by truck to HRSs. Assuming 10% of the 2050 Freight Analysis Framework Version 5 (FAF5) truck flow as HFCTs on the U.S. continental interstate highway network, results show that pipeline-based delivery offers major economic advantages over truck-based delivery. Findings highlight the strategic value of leveraging existing pipeline infrastructure and suggest that targeted policy support for hydrogen delivery and refueling infrastructure is essential for facilitating the cost-effective adoption of HFCTs in long-haul freight.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"154 ","pages":"Article 105226"},"PeriodicalIF":7.7,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146070871","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}
Pub Date : 2026-01-28DOI: 10.1016/j.trd.2026.105246
Liyang Huang , Liyuan Zhao , Zhi-Chun Li
Urban logistics have shifted from a “goods-to-store” to a “goods-to-residents” paradigm, resulting in the proliferation of small logistics facilities such as micro-hubs and pick-up points in urban areas. As these facilities are increasingly embedded within urban functional spaces, understanding the driving factors of their spatial layout has become ever more crucial. This study examines the spatial layout characteristics and influencing factors of small logistics facilities in the Wuhan Metropolitan Development Area between 2010 and 2018. A Gradient Boosting Decision Tree (GBDT) model is employed to analyze the nonlinear relationships and threshold effects of urban spatial variables on facility layout. The results indicate that land price exerts the strongest influence on spatial distribution, followed by transportation accessibility and demand-related variables in 2010 and 2018, respectively. Based on these findings, a decision-support tool is developed to optimize facility placement, offering policy-relevant insights for sustainable urban logistics planning from a supply–demand perspective.
{"title":"Effects of functional spaces on small logistics facilities: machine learning-based decision-support tool","authors":"Liyang Huang , Liyuan Zhao , Zhi-Chun Li","doi":"10.1016/j.trd.2026.105246","DOIUrl":"10.1016/j.trd.2026.105246","url":null,"abstract":"<div><div>Urban logistics have shifted from a “goods-to-store” to a “goods-to-residents” paradigm, resulting in the proliferation of small logistics facilities such as micro-hubs and pick-up points in urban areas. As these facilities are increasingly embedded within urban functional spaces, understanding the driving factors of their spatial layout has become ever more crucial. This study examines the spatial layout characteristics and influencing factors of small logistics facilities in the Wuhan Metropolitan Development Area between 2010 and 2018. A Gradient Boosting Decision Tree (GBDT) model is employed to analyze the nonlinear relationships and threshold effects of urban spatial variables on facility layout. The results indicate that land price exerts the strongest influence on spatial distribution, followed by transportation accessibility and demand-related variables in 2010 and 2018, respectively. Based on these findings, a decision-support tool is developed to optimize facility placement, offering policy-relevant insights for sustainable urban logistics planning from a supply–demand perspective.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105246"},"PeriodicalIF":7.7,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072514","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}
Pub Date : 2026-01-28DOI: 10.1016/j.trd.2025.105168
Jiayou Lei , Mingwei He , Min He , Zhuangbin Shi , Yueren He , Yang Liu , Huimin Qian
Understanding intermodal transit trip patterns is essential for advancing bus-metro integration. However, most existing studies focus on aggregate transit ridership, while empirical evidence on the characteristics of intermodal transit trips and the effects of the built environment (BE) on them remains limited. To address this gap, this study proposes a probabilistic topic modeling-artificial neural network (ANN) framework to identify representative intermodal transit trip patterns and examine their interactions with BE, using one week of large-scale smart card data from Beijing, China. A multidimensional latent Dirichlet allocation (LDA) model extracts grid-level patterns, revealing five spatiotemporal profiles with probabilistic interpretations. A multi-input, multi-output ANN, interpreted via SHapley Additive exPlanations (SHAP), uncovers complex nonlinear relationships and threshold effects between BE and trip pattern distributions. Results demonstrate that BE influences trip pattern distributions in ways distinct from its effects on overall ridership, providing new insights for coordinated bus-metro development and informing targeted integration strategies.
{"title":"Quantifying built environment effects on intermodal transit trip patterns at grid level","authors":"Jiayou Lei , Mingwei He , Min He , Zhuangbin Shi , Yueren He , Yang Liu , Huimin Qian","doi":"10.1016/j.trd.2025.105168","DOIUrl":"10.1016/j.trd.2025.105168","url":null,"abstract":"<div><div>Understanding intermodal transit trip patterns is essential for advancing bus-metro integration. However, most existing studies focus on aggregate transit ridership, while empirical evidence on the characteristics of intermodal transit trips and the effects of the built environment (BE) on them remains limited. To address this gap, this study proposes a probabilistic topic modeling-artificial neural network (ANN) framework to identify representative intermodal transit trip patterns and examine their interactions with BE, using one week of large-scale smart card data from Beijing, China. A multidimensional latent Dirichlet allocation (LDA) model extracts grid-level patterns, revealing five spatiotemporal profiles with probabilistic interpretations. A multi-input, multi-output ANN, interpreted via SHapley Additive exPlanations (SHAP), uncovers complex nonlinear relationships and threshold effects between BE and trip pattern distributions. Results demonstrate that BE influences trip pattern distributions in ways distinct from its effects on overall ridership, providing new insights for coordinated bus-metro development and informing targeted integration strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105168"},"PeriodicalIF":7.7,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071722","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}
Pub Date : 2026-01-28DOI: 10.1016/j.trd.2026.105242
Corrado Maria Caminiti , Davide Fratelli , Aleksandar Dimovski , Antonio Piersanti , Mattia Ricci , Biagio Di Pietra , Marco Merlo
Achieving decarbonization targets requires major reductions in fossil-fuel use. Electrifying light-duty vehicles offers substantial environmental benefits, yet quantifying these gains is challenging due to heterogeneous traffic patterns and pollution levels. This study introduces a GIS-based method that maps pollutant emissions and traffic volumes onto the road network to produce municipal-level mobility-impact indexes. Daily travel routines derived from mobility surveys are combined with real pollution maps to compute segment-level emissions, which are then aggregated for spatial comparison and policy prioritisation. Applied to Lombardy, Italy, the method shows that although Milan and other dense cities benefit markedly, numerous peri-urban and semi-rural municipalities also show high potential due to large intermunicipal commuting flows. Overall, 13% of municipalities are classified as highest-priority areas, accounting for nearly a quarter of regional traffic-related emissions. The results reveal non-linear urbanisation-benefit relationships and underscore the need to include less-urbanised territories in equitable and effective electrification strategies.
{"title":"Prioritizing light-vehicle electrification cities through real-world pollution-based GIS assessment","authors":"Corrado Maria Caminiti , Davide Fratelli , Aleksandar Dimovski , Antonio Piersanti , Mattia Ricci , Biagio Di Pietra , Marco Merlo","doi":"10.1016/j.trd.2026.105242","DOIUrl":"10.1016/j.trd.2026.105242","url":null,"abstract":"<div><div>Achieving decarbonization targets requires major reductions in fossil-fuel use. Electrifying light-duty vehicles offers substantial environmental benefits, yet quantifying these gains is challenging due to heterogeneous traffic patterns and pollution levels. This study introduces a GIS-based method that maps pollutant emissions and traffic volumes onto the road network to produce municipal-level mobility-impact indexes. Daily travel routines derived from mobility surveys are combined with real pollution maps to compute segment-level emissions, which are then aggregated for spatial comparison and policy prioritisation. Applied to Lombardy, Italy, the method shows that although Milan and other dense cities benefit markedly, numerous peri-urban and semi-rural municipalities also show high potential due to large intermunicipal commuting flows. Overall, 13% of municipalities are classified as highest-priority areas, accounting for nearly a quarter of regional traffic-related emissions. The results reveal non-linear urbanisation-benefit relationships and underscore the need to include less-urbanised territories in equitable and effective electrification strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105242"},"PeriodicalIF":7.7,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071723","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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号