{"title":"Multi-scenario simulation of emission reduction and subsidy scheme for dangerous goods vehicles","authors":"Jiansong Li , Guoqi Li , Jiahui Cao , Xiumei Lu","doi":"10.1016/j.trd.2026.105220","DOIUrl":"10.1016/j.trd.2026.105220","url":null,"abstract":"<div><div>Using trajectory data of dangerous goods vehicles (DGVs) in Chengdu, this study develops a three-phase framework to characterize spatio-temporal patterns of pollutant emissions, evaluate emission reduction benefits, and optimize subsidy policies. Results show that DGVs’ emissions exhibit a bimodal distribution, peaking between 9:30 and 11:30. These emissions expose over 3.2 million residents to health risks, with middle-income groups being the most affected. They lead to approximately 114 premature deaths and $18.68 million in annual economic losses. A combined strategy of improving fuel quality and electrifying heavy-duty DGVs could reduce over 76% of PM<sub>2.5</sub> emissions annually, prevent 84–93 premature deaths, and save $13.76–15.23 million. To close the cost gap and achieve optimal emission reduction benefits, this study recommends raising the subsidy cap for heavy-duty DGVs from $13800 to at least $21100 to promote electrification of China III or lower emission standard DGVs. Concurrently, charging infrastructure deployment should be accelerated.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105220"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961768","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":"Operationalizing social justice theory in transport resource allocation","authors":"Esta Qiu , David Rey , Travis Waller","doi":"10.1016/j.trd.2026.105218","DOIUrl":"10.1016/j.trd.2026.105218","url":null,"abstract":"<div><div>Operationalizing social justice is challenged by the absence of a universal equity definition and inherent policy trade-offs. This study bridges theoretical social justice principles with operational decision-making by integrating four commonly discussed distributive justice theories—Utilitarianism, Rawls’ Egalitarianism, Prioritarianism, and Capabilitarian Sufficiency—into a bilevel bus frequency optimization model. It introduces linearized equity-oriented formulations to reflect the distinct distributive principles of these theories and proposes justice theory-driven equity metrics to evaluate distributive impacts using different ethical criteria. Using cumulative opportunity as a unit of distribution, the proposed frameworks and metrics are applied to Canberra’s southern suburbs. The results demonstrate that the choice of justice framework is not a neutral modelling decision but a normative one, with each framework producing distinct redistributive patterns and community-level trade-offs. This highlights the importance of aligning equity frameworks with policy objectives and governance contexts, as these choices ultimately shape public perception, political feasibility, and the long-term societal goals of transport investment.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105218"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962660","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":"Sustainable steel slag in micro-surfacing: A mechanistic, performance, and environmental evaluation","authors":"Daoming Shen , Hongwei Feng , Jinhong Xia","doi":"10.1016/j.trd.2025.105198","DOIUrl":"10.1016/j.trd.2025.105198","url":null,"abstract":"<div><div>Replacing natural fillers with industrial by-products can enhance pavement sustainability by conserving resources and reducing environmental impact. This study evaluated steel slag as a filler replacement ranging from 0 % to 100 % in asphalt mastics and micro-surfacing. Surface free energy analysis linked the slag’s mineralogical and morphological features to improved binder–filler adhesion. Mechanical performance was assessed via wet track abrasion, cohesion, and loaded wheel tests. Safety and sustainability were examined using the Toxicity Characteristic Leaching Procedure (TCLP) and a cradle-to-gate life cycle assessment (LCA). At 100 % slag replacement, the work of cohesion increased by 28.7 %, moisture susceptibility declined by 45.9 %, and deformation and bleeding were reduced by over 40 %. The LCA indicated reductions in global warming potential (11.54 %), acidification potential (12 %), and cumulative energy demand (10.92 %), due to avoiding virgin filler production and lowering bitumen consumption. TCLP confirmed leached heavy metals below regulatory limits, supporting environmental safety and circular economy goals.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105198"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928586","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":"Green investment under route disruptions and the European union emissions trading system","authors":"Jie Wu , Jiaguo Liu , Junjin Wang , Guoqing Zhang","doi":"10.1016/j.trd.2025.105200","DOIUrl":"10.1016/j.trd.2025.105200","url":null,"abstract":"<div><div>With the shipping sector included in the EU Emissions Trading System (EU ETS), carriers must purchase EUAs for emissions on EU-related voyages. Route disruptions such as the Red Sea crisis, Panama Canal drought, and embargoes force detours that raise fuel use and EUA demand, creating uncertainty for green investment decisions. This paper develops a two-period game model to examine how carriers adjust green investments under such disruptions. We find that high-probability disruptions strengthen the penalty effect of the EU ETS, encouraging early investment but simultaneously inducing a Prisoner´s Dilemma. Disruptions can increase total emissions in specific parameter regions due to longer detours, yet they also enhance the overall effectiveness of the EU ETS by expanding the conditions under which early investment becomes optimal. This study integrates route disruptions with carbon regulation to explain carriers’ strategic investment behavior and offers implications for decarbonizing shipping under uncertainty.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105200"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962661","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":"Causal effects of typhoons on mobility perturbations: environment and individual heterogeneity","authors":"Tianhua Lu , Wenbo Guo , Wenjia Zhang , Wen Zhang , Caicheng Niu","doi":"10.1016/j.trd.2026.105234","DOIUrl":"10.1016/j.trd.2026.105234","url":null,"abstract":"<div><div>Understanding causal factors of typhoon-induced mobility disruption is crucial for urban resilience and protecting vulnerable groups. While studies link extreme weather events (EWEs) to mobility, causal evidence on policy intervention effects is lacking. This study applies an Interrupted Time Series (ITS) design to mobile phone data from Shenzhen, China, to quantify the causal effects of the extreme precipitation event Typhoon Haikui (September 7–8, 2023) on travel distance, while also evaluating heterogeneity across built-environment and individual attributes. Findings reveal government warnings and adverse weather were primary drivers, reducing travel by 32% and 34% respectively. Areas with higher land use mix and intersection density showed greater travel reductions, while retail and subway density mitigated these effects. Middle-aged individuals, women, and high-priced housing residents experienced significant perturbations. These insights identify vulnerable populations and low-resilience areas, informing targeted disaster policies and investments in resilient land use, pedestrian networks, and accessible subway stations.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105234"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038811","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}
Zili Tian , Jiaxing Liu , Shiqi Wang , Xiong Yang , Zhenhan Peng , Anthony Chen , Chengxiang Zhuge
{"title":"Electrification of a bus system in a hilly city considering gradient impacts","authors":"Zili Tian , Jiaxing Liu , Shiqi Wang , Xiong Yang , Zhenhan Peng , Anthony Chen , Chengxiang Zhuge","doi":"10.1016/j.trd.2026.105223","DOIUrl":"10.1016/j.trd.2026.105223","url":null,"abstract":"<div><div>Electrifying a bus system in hilly cities is challenging, as the road gradient plays a significant role in vehicular energy consumption, influencing the configuration of bus fleet and the layout of charging facilities. In response, this study developed a data-driven large-scale simulation optimization model that explicitly considers the impact of road gradients, aiming to determine the optimal electric bus fleet and charging infrastructure deployment, with Hong Kong (a typical hilly city) as the study area. Results indicated that neglecting gradient characteristics would underestimate the system cost and life-cycle emissions. Meanwhile, when accounting for gradient impacts, the required number of charging stations and fleet size increased by 27% and 3%, respectively. Moreover, the spatial distribution of charging stations could be greatly influenced. Further scenario analysis indicated that charging speed and infrastructure costs are influential in shaping bus electrification strategies. The outcomes can be helpful for bus electrification in hilly cities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105223"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979351","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}
Zirun Wang, Huasa Zhu, Chuanqi Ma, Zhaojie Lu, Siqing Long, Yunjie Zhang, Ming Cai
{"title":"Sound event detection for modified-exhaust vehicles in urban environment","authors":"Zirun Wang, Huasa Zhu, Chuanqi Ma, Zhaojie Lu, Siqing Long, Yunjie Zhang, Ming Cai","doi":"10.1016/j.trd.2026.105241","DOIUrl":"10.1016/j.trd.2026.105241","url":null,"abstract":"<div><div>Vehicles with illegally modified exhaust systems are a significant source of urban noise and air pollution. This study employs a Sound Event Detection (SED) framework for their automated identification. To address the lack of public data, we generated a dataset with Scaper library, embedding foreground events into authentic background recordings. We employed an SED Transformer and compared six backbones, with the Multi-Scale Residual Network (MSResNet) achieving the best performance. The model achieved an event-based F1-score of 0.7277 on the validation set and 0.6629 in the field test. A Shapley Additive Explanations (SHAP) analysis confirmed the model’s focus on meaningful acoustic features like acceleration harmonics and afterfire transients, while also revealing a temporal bias from the synthetic data. Analysis of computational performance and an event-covered localization error metric validated deployment feasibility. This work presents an end-to-end SED framework for automated urban noise enforcement, supporting data-driven policy beyond conventional classification.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105241"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048442","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}
Nan Xu , Qiao Liu , Chengyin Yuan , Yongtao Yang , Yan Kong , Yifan Jia , Linhao Li , Jincheng Li
{"title":"A double-filter driving cycle generation framework with dynamometer testing and analysis","authors":"Nan Xu , Qiao Liu , Chengyin Yuan , Yongtao Yang , Yan Kong , Yifan Jia , Linhao Li , Jincheng Li","doi":"10.1016/j.trd.2026.105231","DOIUrl":"10.1016/j.trd.2026.105231","url":null,"abstract":"<div><div>Standard driving cycles is the basis to obtain the vehicle type-approval energy consumption. However, for users, there is a gap between the type-approval results and their experiences. For manufacturers, limited number of test cycles cause sub-optimization related issues during the vehicle design and development; for testing organizations, deterministic test cycles lead to the risk of cheating in testing. Therefore, a novel double-filter method is proposed to generate multiple stochastic driving cycles that are energy consumption comparable. Using user data as reference, chassis dynamometer tests were designed for validation of the energy consistency. Results show that the maximum deviation from the user was 2.144%, and the minimum was only 0.465%. The method proposed enables customized families of test cycles, overcoming the limitations of deterministic, finite cycles, which contribute to vehicle economy optimization and provide a dependable foundation for energy consumption estimation for city transportation systems and related policy development.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105231"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014572","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":"A transformer-enhanced causal analysis framework for inter-stop energy consumption of electric bus","authors":"Yixu He , Zikang Huang , Jiahao Zhan , Lingshu Zhong , Mingyang Pei","doi":"10.1016/j.trd.2026.105221","DOIUrl":"10.1016/j.trd.2026.105221","url":null,"abstract":"<div><div>Electric buses (EBs) are central to urban transport electrification, yet their energy consumption patterns remain inadequately characterized at operational scales. This study develops an integrated framework combining high-accuracy prediction with causal inference to analyze inter-stop segment energy consumption. We propose Transformer with C-Mixup and Self-Distillation (TCMSD), employing similarity-based sample mixing to address data sparsity and imbalance, while self-distillation enhances generalization. By embedding TCMSD within Double/debiased machine learning (DML) as base learners, we achieve superior causal effect estimation with reduced bias and variance. Applied to EB fleet operational data, the framework reveals non-linear heterogeneous treatment effects across 10 factors spanning driving behavior, operational characteristics, and weather conditions. Results demonstrate marked improvement in prediction performance. The factors exhibit different characteristics from long-distance trips from a causal perspective. This approach provides transit agencies with predictive tools and causal insights for data-driven energy management and environmental impact reduction.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105221"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979245","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}
Aline Scherrer , Matthew Lockwood , Uta Burghard , Karoline S. Rogge
{"title":"Institutional barriers to dynamic truck charging: why electric road systems struggle in Europe","authors":"Aline Scherrer , Matthew Lockwood , Uta Burghard , Karoline S. Rogge","doi":"10.1016/j.trd.2025.105154","DOIUrl":"10.1016/j.trd.2025.105154","url":null,"abstract":"<div><div>Electric road systems (ERS) have been proposed as an efficient solution to dynamically charge electric trucks but have not yet become a dominant solution. This paper provides an institutional explanation for the case of Europe, building on 22 expert interviews in eight European countries, event observations, and policy documents. The analysis identifies three main explanations. Firstly, as a line infrastructure, ERS require government commitment for build-up and coordination, particularly across borders. This conflicts with the widespread idea of technology-open governments that provide R&D funds to initiate market-driven solutions. Secondly, time constraints favour readily available solutions backed by industry, like stationary charging, over sector-specific ERS technologies that lack a unified lobby with policy access. Thirdly, ERS technologies challenge long-standing sectoral designs. If policymakers want to maintain the option of ERS alongside stationary charging, they need to acknowledge this institutional uphill battle and consider compatibility requirements for vehicles and an active commitment for larger routes.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"153 ","pages":"Article 105154"},"PeriodicalIF":7.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979274","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}