Su Yan , Jiayi Fang , Chao Yang , Ruihu Chen , Hui Liu
{"title":"Eco-driving for connected automated hybrid electric vehicles in learning-enabled layered transportation systems","authors":"Su Yan , Jiayi Fang , Chao Yang , Ruihu Chen , Hui Liu","doi":"10.1016/j.trd.2025.104677","DOIUrl":"10.1016/j.trd.2025.104677","url":null,"abstract":"<div><div>Eco-driving strategies have the potential to enhance energy savings, safety, and transportation efficiency by optimizing vehicle interactions with dynamic traffic environments. This study addresses the challenge of balancing computational efficiency and optimization effectiveness amid the high-dimensional state and control variables driven by extensive traffic information. The novelty different from existing methods lies in developing an eco-driving strategy within a traffic information cyber–physical system. The cyber-layer maps simulated road segments for training vehicles equipped with the Proximal Policy Optimization (PPO) algorithm, enabling effective planning of economical speeds. During vehicle operation, the cyber-layer maps the real-time physical environment, providing a predictive state sequence for the vehicle’s adaptive equivalent fuel consumption minimization strategy. Then, optimizing the efficiency factor in a rolling manner further improves fuel economy. A comparative analysis with existing methods across different scenarios shows that the proposed strategy significantly improves fuel economy while ensuring real-time speed planning and reliable speed-tracking performance.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"142 ","pages":"Article 104677"},"PeriodicalIF":7.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143521188","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}
{"title":"Shaping greener mobility: Impact of urban greening structure on time-dependent bike-sharing usage","authors":"Tianlin Zhang , Fengliang Tang , Yike Hu , Longhao Zhang , Yuanyuan Guo","doi":"10.1016/j.trd.2025.104657","DOIUrl":"10.1016/j.trd.2025.104657","url":null,"abstract":"<div><div>Free-floating bike-sharing systems (FFBS), known for their convenience and low-carbon benefits, have become crucial for advancing green urban mobility and sustainable development. However, the specific impacts of urban greening structures on FFBS usage remain underexplored. This study focuses on Shenzhen’s core area, systematically evaluating the effects of greening structures on FFBS usage at different times by integrating street view images, remote sensing data, and interpretable machine learning models. Results indicate that daytime cycling is mainly influenced by trip purposes and urban morphology, while nighttime cycling depends more heavily on urban greening structures. Among greening factors, tree view index exhibits the most substantial nonlinear impact on cycling across all time periods. Factors like the bush view index, vegetation configuration ratios, and green space shape characteristics are more influential at nighttime. This study highlights the crucial role of location-specific greening optimization strategies in promoting sustainable green transportation development.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104657"},"PeriodicalIF":7.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509984","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}
Yichan An , Joseph Y.J. Chow , Soomin Woo , Jinwoo Lee
{"title":"Urban public charging infrastructure planning for electric vehicles: A continuum approximation approach","authors":"Yichan An , Joseph Y.J. Chow , Soomin Woo , Jinwoo Lee","doi":"10.1016/j.trd.2025.104605","DOIUrl":"10.1016/j.trd.2025.104605","url":null,"abstract":"<div><div>Effective planning of electric vehicle charging infrastructure is crucial for enhancing charging network serviceability, which leads to greater electric vehicle adoption and ultimately contributes to mitigating environmental impact and achieving sustainability. In this study, we propose a novel continuum approximation approach to optimally plan urban public fast charging infrastructure considering spatial heterogeneity. We analytically estimate waiting and travel times to charge with queueing theory and evaluate serviceability over a planning region with spatial heterogeneity. The analytical model determines serviceability with planning factors, including station density and chargers per station; operational factors, such as station assignment rules; and exogenous factors, including charging demand, roadway network, and traffic conditions. We formulate an optimization problem to maximize serviceability and validate our framework in New York City, demonstrating improvements over current infrastructure. Furthermore, we investigate existing issues and provide guidance for future development, offering valuable insights for policymakers in developing efficient urban charging networks.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104605"},"PeriodicalIF":7.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478789","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}
{"title":"Investigating transit-induced displacement with housing renter relocation data from urban China","authors":"Kuang Kuang Deng , Ling Li , Qingqing Zong","doi":"10.1016/j.trd.2025.104674","DOIUrl":"10.1016/j.trd.2025.104674","url":null,"abstract":"<div><div>The rail transit system has been widely acknowledged as a means of improving urban accessibility. However, there is concern that the benefits of rail transit are not equally distributed across different population groups. This study tests the rail transit-induced displacement hypothesis that the opening of new transit stations will cause relocation of incumbent residents for rising rents to less accessible locations. We explore the cases of three major cities in China—Beijing, Shanghai, and Hangzhou—that substantially expanded their rail transit system. We employ a combination of difference-in-differences modelling, propensity score matching, and distance-band spatial regressions to analyze the destination choices of residents who leave new transit areas based on a novel individual-level dataset of housing renters. As a result of rail transit, displacement has occurred in all three cities, and those who are younger, in the IT sector, and whose workplaces are located far from transit stations are more likely to be negatively impacted.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104674"},"PeriodicalIF":7.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479233","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}
Hao Wu , Danyue Zhi , Biao Yin , Chengqi Lu , Liu Liu , Constantinos Antoniou
{"title":"Simulation-based impact assessment framework for driving restriction zone policies","authors":"Hao Wu , Danyue Zhi , Biao Yin , Chengqi Lu , Liu Liu , Constantinos Antoniou","doi":"10.1016/j.trd.2025.104615","DOIUrl":"10.1016/j.trd.2025.104615","url":null,"abstract":"<div><div>Conventional methods for predicting emissions predominantly rely on site data-driven regression models, thus failing to evaluate mobility impacts of transport policies. This research demonstrates how agent-based simulation has been used to assess ex-ante impacts of one of these policies, driving restriction zone, enabling policymakers to evaluate and refine such interventions during the design phase. The proposed framework examines impacts on mobility and the environment at various aggregation levels. The case study assesses two policy scenarios with varying tolerance levels for road network access by unauthorized non-residents in residential areas; each one-fifth of non-local drivers is restricted every fifth weekday, based on license-plate digits. The findings reveal that both policies reduce car usage, albeit with a slight cost to traffic efficiency. Additionally, the policies contribute to a notable decrease in CO<sub>2</sub> emissions and local air pollutants across all agent groups, citywide, and more locally.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104615"},"PeriodicalIF":7.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465226","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}
Petter Christiansen, Aslak Fyhri, Andreas Kokkvoll Tveit
{"title":"Behavioral and intentional effects of providing personal emission information: An experimental approach","authors":"Petter Christiansen, Aslak Fyhri, Andreas Kokkvoll Tveit","doi":"10.1016/j.trd.2025.104665","DOIUrl":"10.1016/j.trd.2025.104665","url":null,"abstract":"<div><div>To achieve local and national climate goals, it is essential to explore new policy instruments. This article examines the effects of introducing a non-intrusive policy instrument aimed at reducing car use. Specifically, we investigate the short-term behavioral impact of providing personal emission information to employees. Through a field experiment among municipal employees in Sarpsborg (Norway), we assess whether receiving personal emissions information related to municipal climate goals increases the intention to reduce car use and whether there are any short-term reductions in emissions from commuting. Our findings indicate that providing personal emission information has a small yet non-negligible effect on the intention to reduce the use of fossil-fuel cars. Equally important, we find a modest treatment effect on individual transport emissions. This study contributes to the literature on policy instruments by examining the behavioral effects of a relatively unexplored and innovative approach.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104665"},"PeriodicalIF":7.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465346","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}
Antonia Rahn , Katrin Dahlmann , Florian Linke , Markus Kühlen , Benjamin Sprecher , Clemens Dransfeld , Gerko Wende
{"title":"Quantifying climate impacts of flight operations: A discrete-event life cycle assessment approach","authors":"Antonia Rahn , Katrin Dahlmann , Florian Linke , Markus Kühlen , Benjamin Sprecher , Clemens Dransfeld , Gerko Wende","doi":"10.1016/j.trd.2025.104646","DOIUrl":"10.1016/j.trd.2025.104646","url":null,"abstract":"<div><div>With initiatives such as the European Green Deal establishing more stringent environmental requirements, there is an increasing need to develop aircraft technologies and sustainable aviation practices with reduced climate impacts. Additionally, conventional environmental Life Cycle Assessments (LCAs) often struggle to capture the dynamic and complex nature of aircraft operations; in particular, non-CO<sub>2</sub> in-flight impacts, which contribute significantly to climate change, are often overlooked. In this study, we improve a discrete-event LCA approach with a climate impact evaluation model and apply it to scenario analyses comparing different aircraft designs, fuel types, and flight schedules. Our findings reveal that, contrary to previous LCA studies, the climate impact per kilometre flown increases with longer flight distances and that an efficiently planned flight schedule can reduce the overall environmental impact. The study highlights the necessity of incorporating non-CO<sub>2</sub> effects and operational scenarios into LCA to achieve a more accurate understanding of aviation’s environmental impact.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104646"},"PeriodicalIF":7.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465225","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}
{"title":"Substituting car trips with cycling in Finland: A traveller segmentation analysis","authors":"Johannes Mesimäki, Esko Lehtonen, Anu Tuominen","doi":"10.1016/j.trd.2025.104655","DOIUrl":"10.1016/j.trd.2025.104655","url":null,"abstract":"<div><div>Integrating cycling within daily routines by substituting car trips could improve sustainability and increase physical activity. We estimated the quantity of single-occupancy car trips that could be cycled in Finland during snow-free times of the year and their distribution among traveller segments based on Finnish 2016 national travel survey data. Hierarchical clustering applied to a distance matrix created by a random forest model classifying regular and irregular cyclists was used for segmentation.</div><div>Approximately 7% of car trips were deemed cyclable. These were distributed unevenly across eight traveller segments extracted from the data, which differed by travel behaviour, urbanisation, age, primary activity and population size. The results suggest that replacing car use with cycling in a routinised manner while meeting existing travel needs is not viable for most people. We highlight the urgency of improving the transportation system’s ability to consistently fulfil travel needs with cycling to facilitate large-scale modal shifting.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104655"},"PeriodicalIF":7.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465244","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}
Rafael Arevalo-Ascanio , Annelies De Meyer , Roel Gevaers , Ruben Guisson , Geert Verbelen , Wouter Dewulf
{"title":"Collaborative distribution network design for sustainable parcel deliveries: A strategic modelling approach","authors":"Rafael Arevalo-Ascanio , Annelies De Meyer , Roel Gevaers , Ruben Guisson , Geert Verbelen , Wouter Dewulf","doi":"10.1016/j.trd.2025.104667","DOIUrl":"10.1016/j.trd.2025.104667","url":null,"abstract":"<div><div>The rise of e-commerce has increased the demand for B2C transport, posing challenges for urban distribution and its upstream supply networks. Multiple sustainable transport strategies have been proposed to mitigate the effects of freight movement. However, sustainable transport strategies should address the economic, environmental, and social aspects equally. This study aims to evaluate a sustainable distribution strategy based on collaborative network design, integrating last-mile strategic modelling using the continuous multi-scale approach (CMA) with network design models. In the case study on parcel deliveries in Belgium, the collaborative network design strategy minimizes operational and external costs of transport, addressing economic, social and environmental aspects. The results show that, in a scenario where two shaded hubs are implemented, operational and external transport costs can be reduced by up to 20% compared to the current situation where all carriers operate individually. Similarly, carbon emissions are reduced by 25% in the same scenario.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104667"},"PeriodicalIF":7.3,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454793","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}
{"title":"Electrifying transportation: Social, cultural and environmental factors affecting electric bicycle buying intention","authors":"Moazzam Abbas , Huma Iftikhar , Yan Liu","doi":"10.1016/j.trd.2025.104652","DOIUrl":"10.1016/j.trd.2025.104652","url":null,"abstract":"<div><div>The transition to electric transportation is a crucial step in mitigating climate change. This study investigates the impact of cultural dimensions (individualism vs. collectivism and tightness vs. looseness), social norms (injunctive and descriptive), and environmental risks (air pollution and climate change) on electric bicycle (e-bicycle) purchasing intentions. Analyzing data from the ECHOES international survey of 31 European countries, this study provides valuable insights. The findings of country-level predictors indicate that people from collectivist and tight cultures are more inclined to purchase e-bicycles. Environmental risks such as air pollution and climate change also stimulate e-bicycle purchase intention. Furthermore, individual-level predictors such as perceived injunctive and descriptive norms positively influence e-bicycle buying intentions, and the influence of descriptive norms is amplified by pro-environmental identity and conformist tendencies. Additionally, the usage of bicycles and motorbikes among individuals encourages e-bicycle buying. This study offers important implications for policymakers seeking to promote sustainable transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104652"},"PeriodicalIF":7.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436513","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}