Yeonseo Park , Junyeong Jeong , Chao Wang , Soomin Woo
{"title":"Multi-modal electric logistics system: Electric trucks as floating chargers for electric drones","authors":"Yeonseo Park , Junyeong Jeong , Chao Wang , Soomin Woo","doi":"10.1016/j.trd.2025.104843","DOIUrl":"10.1016/j.trd.2025.104843","url":null,"abstract":"<div><div>This paper proposes a novel problem called Multi-modal Electric Vehicle Routing Problem with Drones (MEVRPD) that uses electric trucks as landing and charging pads for drones. By using a novel solution state structure and a hybrid Adaptive Large Neighborhood Search with Genetic Algorithm. We evaluate the performance of the multi-modal system by comparing three operation scenarios: electric trucks only (baseline), trucks as delivery vehicles and landing pads for drones (floating landing pads, FLP), and trucks as delivery vehicles and landing/charging pads for drones (floating chargers, FC). We find that the FC mode achieves the lowest total cost from extending the drone range, increasing deliveries by drones, and reducing driving time and wage costs, with a small trade-off of increasing drone energy consumption. Additionally, a sensitivity analysis reveals that when ground speeds and drone battery capacities are low, the FC operation mode can greatly decrease the total costs.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104843"},"PeriodicalIF":7.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291606","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}
Jacqueline Arriagada , Carlo Prato , Susan Grant-Muller
{"title":"Do reward-based incentives via smartphones encourage modal shift to sustainable modes?","authors":"Jacqueline Arriagada , Carlo Prato , Susan Grant-Muller","doi":"10.1016/j.trd.2025.104823","DOIUrl":"10.1016/j.trd.2025.104823","url":null,"abstract":"<div><div>A recent approach to mitigating the negative externalities of transport is to use information technologies to encourage more sustainable travel choices. However, evidence of their effectiveness is limited. Our study examines the impact of point-based incentives offered through a mobile app that encourages users to cycle, walk, and use public transport by offering redeemable points. Using a discrete choice modelling approach and track-and-trace data, the results showed that users increased the likelihood of switching from cars to sustainable modes by over 15%. Incentives offered on the same day as the car trip had the strongest effect. Public transport and cycling rewards were effective when sent up to 3 days before the car trip, while walking rewards were effective when sent up to 2 days before. Our study also highlights the influence of trip distance, inertia, trip purpose, and day type on travellers’ switching behaviour.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104823"},"PeriodicalIF":7.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262267","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}
Kai Huang , Ziheng Zhang , Xiang Wang , Yiheng Tao , Zhiyuan Liu
{"title":"Life-cycle carbon emissions of autonomous electric vehicles in varying traffic situations","authors":"Kai Huang , Ziheng Zhang , Xiang Wang , Yiheng Tao , Zhiyuan Liu","doi":"10.1016/j.trd.2025.104871","DOIUrl":"10.1016/j.trd.2025.104871","url":null,"abstract":"<div><div>Autonomous Electric Vehicles (EVs) are becoming more attractive due to the advantage of alleviating carbon emissions. However, it is challenging to calculate the carbon emissions of EVs at different levels of autonomous driving in varying traffic situations. In this paper, we propose a carbon emission calculation model that considers the life-cycle of electricity production. We develop Krauss, Intelligent Driver Model, and Cooperative Adaptive Cruise Control modules to simulate L0-L5 vehicles. Case studies are conducted to verify the proposed models. Results indicate that higher-level autonomous driving leads to low carbon emissions. The emissions of L5 vehicles are 29% lower compared to L0 vehicles. With penetration rates increasing, carbon emissions of Human-Driven Vehicle (HDV) and Connected and Autonomous Vehicle (CAV) initially decrease and then increase. Temporal and spatial analysis of carbon emissions distribution indicates that high-level CAVs generate fewer emissions due to optimized acceleration and energy recovery.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104871"},"PeriodicalIF":7.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262268","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":"Electric vehicle ownership and the built environment: Evidence from China","authors":"Mi Diao , Hangying Su","doi":"10.1016/j.trd.2025.104854","DOIUrl":"10.1016/j.trd.2025.104854","url":null,"abstract":"<div><div>While China has emerged as a leading market of electric vehicles (EVs) globally, there is a notable absence of research examining the effect of the built environment on EV ownership in China. Utilizing a big dataset comprising a 5% random sample of all EVs in Shanghai, China, we analyze the spatial patterns of EV ownership rates in the city and calibrate spatial Poisson regression models to investigate the relationship between the built environment and EV ownership. The results show that EV ownership rates have a positive association with land use mix and access to shopping malls while exhibiting a negative correlation with population density and job accessibility. Moreover, their relationship shows significant heterogeneity across EV types and car classes. The findings can assist in developing nuanced land use and transportation planning policies to promote EV ownership, thus contributing to the goal of achieving sustainable transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104854"},"PeriodicalIF":7.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262266","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}
Dongdong Shi , Qiao Wang , Juan Chen , Ruggiero Lovreglio , Wei Yang , Jian Ma
{"title":"Exploring the influence of flooding conditions on crowd evacuation: An experimental study","authors":"Dongdong Shi , Qiao Wang , Juan Chen , Ruggiero Lovreglio , Wei Yang , Jian Ma","doi":"10.1016/j.trd.2025.104868","DOIUrl":"10.1016/j.trd.2025.104868","url":null,"abstract":"<div><div>Understanding the impact of dynamic water flow on crowd evacuation is essential for improving pedestrian safety under urban floods. Previous research has primarily focused on studying pedestrian movement characteristics in static water scenarios, whereas investigations of pedestrian evacuation under dynamic water flow are still rare. In this study, a series of bottleneck evacuation experiments were performed using a novel experimental flooding setup. Five inflow depths, i.e., 0, 0.3, 0.4, 0.5, and 0.6 m, corresponding to five water flow rates, i.e., 0, 0.225, 0.3, 0.375, and 0.45 m<sup>3</sup>/s, were designed to simulate dynamic water flow in bottleneck layouts. Two evacuation strategies, including individual evacuation and cooperative evacuation, were considered. How inflow depths and evacuation strategies affect density, speed, and nearest-neighbor distribution at the bottleneck is explored. Our findings demonstrate that the pedestrian speed and flow rate in cooperative scenarios are higher than those in individual scenarios. Total evacuation times are 21.7 %, 10.77 %, 5 %, and 14.85 % faster in cooperative scenarios than those in individual scenarios at inflow depths of 0.3, 0.4, 0.5, and 0.6 m. These results will offer valuable insights for calibrating flood evacuation models and improving crowd management during emergencies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104868"},"PeriodicalIF":7.3,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253374","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}
Antoine Salgas , Gilles Lafforgue , Thomas Planès , Scott Delbecq
{"title":"Enhanced marginal abatement cost curves for analysing and designing aviation decarbonisation scenarios","authors":"Antoine Salgas , Gilles Lafforgue , Thomas Planès , Scott Delbecq","doi":"10.1016/j.trd.2025.104836","DOIUrl":"10.1016/j.trd.2025.104836","url":null,"abstract":"<div><div>Transition scenarios help assess sectoral decarbonisation pathways, yet their cost-effectiveness is rarely assessed for aviation, despite existing metrics. This paper addresses this gap by adapting carbon abatement cost metrics to transition scenarios and integrating them into AeroMAPS, an open-source model for aviation decarbonisation. These metrics are then used to build Marginal Abatement Cost Curves (MACCs). Rather than directly reading conclusions from them, a novel approach is introduced: integrating MACCs into the model as an indicator of overall scenario cost-effectiveness. Combined with existing scenario metrics, this allows for both scenario evaluation and iterative refinement. By comparing abatement costs to carbon values derived from global policies, sectoral scenarios can be aligned with these. An application to an illustrative aviation decarbonisation scenario shows that energy substitution measures become economically viable only under ambitious policy conditions. Finally, the paper discusses key limitations that must be addressed before extending this approach to other sectors.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104836"},"PeriodicalIF":7.3,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262265","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}
M.M.A.L.N. Maheepala , M.C.M. Nasvi , Dilan Robert , L.C. Kurukulasuriya , C. Gunasekara
{"title":"Life-cycle assessment of novel geopolymer stabilization method in applications with expansive subgrades","authors":"M.M.A.L.N. Maheepala , M.C.M. Nasvi , Dilan Robert , L.C. Kurukulasuriya , C. Gunasekara","doi":"10.1016/j.trd.2025.104840","DOIUrl":"10.1016/j.trd.2025.104840","url":null,"abstract":"<div><div>Expansive soil, characterized by volumetric changes, presents formidable challenges to road infrastructure. The limitations of Ca-based treatments have spurred the investigation of geopolymers, yet Na<sub>2</sub>SiO<sub>3</sub> in the alkaline activator compromised the sustainability. In response, a novel waste-derived rice husk ash (RHA)-based silicate solution was introduced for geopolymer-based expansive subgrade stabilization (Slag-RHA-GP), though its environmental sustainability remains unexplored. This study conducts a cradle-to-construction life-cycle assessment of Slag-RHA-GP while comparing results with cement (OPC) and conventional Na<sub>2</sub>SiO<sub>3</sub>-based geopolymer treatment (GP) based on a hypothetical case study. Normalized mid-point impacts indicate that the Slag-RHA-GP binder exhibits ∼ 43 % improved environmental performance compared to GP. RHA-silicate substitution reduces ecosystem impacts by ∼ 79 % at the raw material production stage. Moreover, except for Hg and Se, heavy metal leaching of Slag-RHA-GP remains well below permissible levels. Slag-RHA-GP demonstrated a 31.5 % cost-effectiveness and an overall sustainability advantage of 28.9 % and 6.4 % over conventional GP and OPC, respectively. The findings will support the future adoption of sustainable geopolymer stabilizers for in-situ expansive subgrade treatment, aligning with emission neutrality goals.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104840"},"PeriodicalIF":7.3,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240885","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}
Parnian Alikhani , Nico Brinkel , Wouter Schram , Ioannis Lampropoulos , Wilfried van Sark
{"title":"Multi-objective optimization of electric vehicle charging considering market coupling in north-western Europe","authors":"Parnian Alikhani , Nico Brinkel , Wouter Schram , Ioannis Lampropoulos , Wilfried van Sark","doi":"10.1016/j.trd.2025.104829","DOIUrl":"10.1016/j.trd.2025.104829","url":null,"abstract":"<div><div>With the rise in electric vehicle (EV) adoption, optimizing charging profiles is crucial for technical, economic, and environmental support, but existing studies often neglect several technical constraints in achieving this. This paper introduces a novel method to evaluate the trade-off between cost and emission reduction through smart EV charging across various scenarios. The proposed multi-objective optimization model incorporates technical limitations and user preferences, considering minimum charging current and state-of-charge limits. Additionally, a model for constructing marginal emission factors based on electricity market coupling is developed. Using detailed EV charging data, it assesses long-term optimization effectiveness over three distinct scenarios. Results show the base model achieves up to 24% cost and 30% emission reductions in unidirectional, and up to 112% and 165% in bidirectional charging. The second and third models achieve smaller cost and emission reductions when considering minimum charging currents and minimum state-of-charge user preferences requirements.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104829"},"PeriodicalIF":7.3,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240882","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":"Emergency scenario evolution of Arctic maritime accidents using data-driven dynamic Bayesian network","authors":"Ting Wang , Laihao Ma , Xiaoxue Ma","doi":"10.1016/j.trd.2025.104845","DOIUrl":"10.1016/j.trd.2025.104845","url":null,"abstract":"<div><div>The harsh environment and limited navigational experience in Arctic waters make maritime accidents inevitable, necessitating effective response strategies. In the present study, a general emergency scenario evolution framework for maritime accidents is proposed, and then a multi-source data-driven dynamic Bayesian network (DBN) model is developed to simulate the dynamic evolution of emergency scenarios for different Arctic maritime accidents. Finally, the impact of natural environment and emergency measures on scenario evolution is examined by a case study in the Barents Sea. Results show that the environment in Arctic waters, particularly wind speed, significantly influences the evolution pathways and outcomes associated with the three types of accidents; while the effectiveness of emergency measures varies depending on the specific scenario state in emergency response.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104845"},"PeriodicalIF":7.3,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240883","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":"Optimizing short food supply chain logistics to lower carbon emissions and enhance operational efficiency for small-scale rural producers","authors":"Arijit De , Barbara Tocco , Matthew Gorton","doi":"10.1016/j.trd.2025.104855","DOIUrl":"10.1016/j.trd.2025.104855","url":null,"abstract":"<div><div>Food hubs serve as platforms that aggregate products from small-scale food producers and facilitate their delivery to final consumers, which can enhance their profit margins and foster local economic development. However, the logistics involved in operating food hubs can be particularly costly. The research aims to show the possibilities of improving the environmental and operational efficiency of food hubs by developing a new mathematical model. A Mixed-Integer Linear Programming (MILP) model addresses the ‘producer-to-hub-to-customer’ transport problem, drawing on comprehensive real-world data. Computational experiments demonstrate that enhancing cooperation among producers when delivering goods to the hub can lead to a reduction in logistics costs and carbon emissions. To bolster environmental outcomes, the study presents empirical evidence indicating that transitioning from conventional to electric vehicles can reduce transport costs by nearly one-third and diminish carbon emissions by as much as 70%.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"146 ","pages":"Article 104855"},"PeriodicalIF":7.3,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240884","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}