{"title":"Post-pandemic public transport resilience and mode shift dynamics in India","authors":"Shahiq Ahmad Wani, Ranju Mohan","doi":"10.1016/j.trd.2025.104968","DOIUrl":"10.1016/j.trd.2025.104968","url":null,"abstract":"<div><div>The COVID-19 pandemic disrupted urban travel, with conflicting perspectives on the permanence of these changes. This study analyses data from 48,839 respondents across twelve diverse Indian cities, using a mixed-methods approach, including machine learning (ML) and Double Machine Learning (DML) to examine pre- and post-pandemic mode choice dynamics at aggregate and city-specific levels. The ML analysis identified fundamental life circumstances as the primary predictors of mode choice. The DML analysis revealed that while public transport (PT) demonstrated significant resilience, powerful behavioural inertia persists, and specific service failures causally deter PT adoption. Pre-pandemic private vehicle use is causally linked to a lower likelihood of shifting to PT. Furthermore, safety and comfort issues, such as station cleanliness and staff professionalism, are causally linked to negative passenger perceptions. The study highlights significant city-specific variations and informs targeted, actionable, evidence-based policy recommendations for developing more resilient and environmentally sustainable urban transport systems.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104968"},"PeriodicalIF":7.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895185","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":"Policies can accelerate EV diffusion by enhancing consumer expectations of future prevalence","authors":"Tomoya Akiyama, Tatsuya Kameda","doi":"10.1016/j.trd.2025.104964","DOIUrl":"10.1016/j.trd.2025.104964","url":null,"abstract":"<div><div>The early stages of electric vehicle (EV) adoption face a classic chicken-and-egg dilemma: EVs are inconvenient without sufficient public chargers, while installing chargers is unprofitable with too few EVs. Government policies may help break this cycle by fostering optimistic expectations about future EV diffusion. We conducted a randomized controlled pre-post survey experiment with 500 Tokyo residents, where only treatment groups received information about the city’s zero-emission vehicle (ZEV) sales target and a new EV-ready building code requiring charger installation in new apartment complexes. Results show that exposure to this policy information increased participants’ willingness to purchase a ZEV—even among those not directly affected by the policies. Mediation analysis indicates the effect was driven by enhanced optimism about future ZEV adoption. These findings highlight the critical role of consumer expectations in shaping the effectiveness of EV policies and underscore the value of broadly communicating policy initiatives to accelerate EV adoption.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104964"},"PeriodicalIF":7.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895183","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":"Analysis of marine oil spill accidents using a human-centered approach","authors":"Bin Han , Shiqi Fan","doi":"10.1016/j.trd.2025.104963","DOIUrl":"10.1016/j.trd.2025.104963","url":null,"abstract":"<div><div>Global shipping, responsible for 90% of trade, is a primary carbon emitter. Oil spills from accidents deteriorate environmental damage and hinder shipping decarbonization. This study analyzes maritime oil spill risk factors and their interdependencies, aiming to develop effective preventive strategies. First, common risk factors in oil spills were identified via comprehensive literature reviews and global accident reports. A data-driven Bayesian Network is then constructed, incorporating human factors into maritime pollution accident analysis using Tree Augmented Network (TAN) and LASSO algorithms. Next, sensitivity analysis and model validation are conducted to explore critical risk influencing factors affecting pollution levels in ship accidents. The results indicate that the number of seafarers onboard significantly influences low and moderate pollution accidents, while ship damage is the primary cause leading to severe pollution. The findings explain ship oil spill risks from a human-centered perspective, enabling maritime stakeholders to develop management strategies to reduce oil spill pollution.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104963"},"PeriodicalIF":7.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895184","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}
Hua Liu , Tiezhu Li , Tianhao Liu , Zandi Shang , Ruizhi Zhang , Haibo Chen
{"title":"An adaptive prediction framework for NOX high-emissions: evidence from Nanjing, China","authors":"Hua Liu , Tiezhu Li , Tianhao Liu , Zandi Shang , Ruizhi Zhang , Haibo Chen","doi":"10.1016/j.trd.2025.104965","DOIUrl":"10.1016/j.trd.2025.104965","url":null,"abstract":"<div><div>The efficient predictions of NO<sub>X</sub> high-emissions from heavy-duty diesel vehicles are crucial to facilitate proactive emission reduction rather than post-intervention analysis. Based on 839,303 real-world driving records, a spatial–temporal guided deep transfer learning framework was developed and evaluated, where shared-determinants of NO<sub>X</sub> high-emissions were frozen and vehicle-specific characteristics were adaptively fine-tuned. The results indicate that the 95th percentile can serve as an identification threshold for NO<sub>X</sub> high-emissions, and corresponding hotspots and heterogeneous areas were identified. Compared with isolated spikes, prolonged NO<sub>X</sub> high-emissions deserve more attention, where frequent fluctuations in driving behaviors and engine conditions are primary contributors. Finally, the optimal combination of model structure and frozen strategy is recommended to facilitate NO<sub>X</sub> high-emission predictions across individual vehicles, with stable macro-average F1-socres of 0.92. Such findings provide environmental authorities with a deep understanding of NO<sub>X</sub> high-emissions, and offer technical supports for developing early warning systems and achieving proactive emission interventions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104965"},"PeriodicalIF":7.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895186","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":"Incorporating equity into the cost-effectiveness evaluation of new mobility: A comparative analysis","authors":"Lamis Ashour , Qing Shen","doi":"10.1016/j.trd.2025.104959","DOIUrl":"10.1016/j.trd.2025.104959","url":null,"abstract":"<div><div>Public transportation in suburban areas faces challenges in providing efficient mobility. Transit Incorporating Mobility on Demand (TIMOD) services have emerged as a potential solution, yet equity considerations remain underexplored. This study incorporates equity into the cost-effectiveness evaluation of TIMOD services, analyzing two suburban areas in the Seattle metropolitan region where a TIMOD service is implemented. Using distributional cost-effectiveness analysis (DCEA), we assess the comparative costs of TIMOD, fixed-route transit, and drive-alone across different income groups and built environments. The study shows that although TIMOD services offer equity benefits for lower-income travelers, they are more equitable in high-density, low-income suburbs. In contrast, their cost-effectiveness is more limited in affluent, low-density areas. These insights highlight the importance of context-specific planning for TIMOD interventions and employ tools such as DCEA for transit agencies to prioritize the deployment of such services in areas where they can maximize social welfare and reduce transportation inequities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104959"},"PeriodicalIF":7.7,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144887573","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}
Yanfeng Xu , Mingyu Kang , Duxin Chen , Chenyang Wu , Xinglong Wang , Ran Tu , Wenwu Yu
{"title":"Flight departure optimization reduces airport CO2 emissions proved by Beijing-Tianjin-Hebei multiple-airport-region","authors":"Yanfeng Xu , Mingyu Kang , Duxin Chen , Chenyang Wu , Xinglong Wang , Ran Tu , Wenwu Yu","doi":"10.1016/j.trd.2025.104920","DOIUrl":"10.1016/j.trd.2025.104920","url":null,"abstract":"<div><div>The increasing number of flights in operation calls for scheduling optimization to alleviate departure delays and improve airport environmental efficiency. In this study, an aircraft dispatching model is proposed and solved with a digital twin (DT) system to capture the real-time airport operations. Setting the minimum airport surface operational emissions as the objective, this model highlights the resource utilization of the multiple-airport-region (MAR) in addition to the constraints from individual airports. DT simulation was applied to facilitate the real-time operational optimization within the region. The Beijing-Tianjin-Hebei MAR (BTH-MAR) is used as an example for DT system simulation validation, and the experimental results show that our model can effectively mitigate the flight delay, with Beijing Capital Airport able to reduce flight delays by 89 s on average, reduce takeoff congestion by 46 s on average, and altogether reduce 10% CO<sub>2</sub> emissions in the takeoff phase.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104920"},"PeriodicalIF":7.7,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880283","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":"Navigating the future of urban logistics: Conceptual framework for Dynamic Freight Management","authors":"Andrii Galkin , Libor Švadlenka , Radek Vrba , Kinga Kijewska","doi":"10.1016/j.trd.2025.104956","DOIUrl":"10.1016/j.trd.2025.104956","url":null,"abstract":"<div><div>Sustainable management of urban logistics (UL) is crucial for reducing congestion, enhancing environmental quality, and improving liveability in cities. Traditional approaches are increasingly inadequate due to intensified urbanisation and e-commerce growth. This paper proposes a novel Dynamic Freight Management (DFM) conceptual framework that employs real-time data analytics and comprehensive traffic information to optimise urban freight operations. Reviewing the existing literature and integrating diverse methodologies, we developed a holistic strategy that aligns freight activities with urban traffic patterns to minimise disruptions and environmental impacts. The framework advocates for multi-stakeholder collaboration and supports policy recommendations for its implementation. Through theoretical analysis and case studies, this research study illustrates the potential of DFM to transform UL by reducing congestion and emissions, thus contributing to more sustainable urban environments.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104956"},"PeriodicalIF":7.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144879064","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}
Jiangbo Wang , Zhongyu Sun , Jason Cao , Kai Liu , De Wang
{"title":"Counterproductive development: New towns may produce and attract more long-distance commuting","authors":"Jiangbo Wang , Zhongyu Sun , Jason Cao , Kai Liu , De Wang","doi":"10.1016/j.trd.2025.104958","DOIUrl":"10.1016/j.trd.2025.104958","url":null,"abstract":"<div><div>Aggregate studies on commuting behavior have primarily focused on trips produced from an area while overlooking those attracted to the area, leading to a partial understanding of commuting patterns. Using mobile phone signaling data from Dalian and Shenyang, China, this study illustrates the spatial distributions of produced and attracted commuting distances and examines their nonlinear associations with built environment characteristics, using an XGBoost model. Results show strong positive correlations between produced and attracted commuting. Distance to business center is the most important predictor. As this distance grows, both produced and attracted commuting distances increase. Its association with attracted commuting distance differs from that in developed countries. Notably, some suburban new towns—intended to reduce commuting through simultaneous population and employment decentralization—have evolved into sparsely populated “job islands,” intensifying long-distance commuting instead. Therefore, phased development and more integrated residential and employment decentralization are conducive to mitigating long-distance commutes.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104958"},"PeriodicalIF":7.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863386","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}
Lucia C. Burtnik Urueta , Lorraine Whitmarsh , Kostas Iatridis
{"title":"When commuting policies work: sector dynamics and trust associated with emission reductions","authors":"Lucia C. Burtnik Urueta , Lorraine Whitmarsh , Kostas Iatridis","doi":"10.1016/j.trd.2025.104962","DOIUrl":"10.1016/j.trd.2025.104962","url":null,"abstract":"<div><div>The study<!--> <!-->examines workplace travel policies’ role in cutting commuting emissions. Using the LSEG Environmental, Social and Governance database (previously known as Refinitiv), we analyze a sample of 2,932 organizations employing over 86 million people across 73 countries to identity predictors of (a) workplace travel policies, and (b) commuting emission reductions. Drawing on political and organizational science literatures, we examine the roles of employee involvement and trust in reducing travel emissions. Sector characteristics strongly influence policy adoption—professional services firms are six times more likely than manufacturing firms to implement transportation policies (OR = 5.98, p < 0.001). While these policies significantly correlate with emissions reductions, the effect size is modest (Cohen’s d = 0.225, R2 = 0.0765).<!--> <!-->Notably, trust in employers emerges as a significant predictor of emissions reductions (β = -0.122, p < 0.05), while traditional employee involvement structures show limited effectiveness. These findings extend beyond local case studies, suggesting successful emissions reduction depends on both policy design and organizational context.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104962"},"PeriodicalIF":7.7,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863388","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":"Exhaust emission rates along German inland waterways","authors":"Daniel Weber, Hauke Stachel, Christian Noss","doi":"10.1016/j.trd.2025.104955","DOIUrl":"10.1016/j.trd.2025.104955","url":null,"abstract":"<div><div>Inland navigation is a source of greenhouse gases and air pollutants. High spaciotemporal resolved vessel- and site-specific exhaust emission rates as well as accumulated total emissions of CO<sub>2</sub>, NO<sub>x</sub>, HC, CO and PM from German inland navigation are estimated using a bottom-up approach. The same model is applied to evaluate the mitigation potential of modernizing the current inland vessel fleet. The model pairs AIS data with daily information of flow conditions at the waterways. It accounts for driving dynamics and computes energy demand, fuel consumption and emission rates of each monitored sailing vessel. The integral over time and space yield site-specific and in a subsequent step total emission rates. Furthermore, a simulated scenario reveals the potential for emission mitigation through modernization of the existing fleet.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"147 ","pages":"Article 104955"},"PeriodicalIF":7.7,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144858316","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}