Simon Weekx , Ona Van den bergh , Gil Tal , Lieselot Vanhaverbeke
{"title":"EV charging habits and their impact on public charging infrastructure usage","authors":"Simon Weekx , Ona Van den bergh , Gil Tal , Lieselot Vanhaverbeke","doi":"10.1016/j.trd.2025.104730","DOIUrl":"10.1016/j.trd.2025.104730","url":null,"abstract":"<div><div>Many cities worldwide are developing public Charging Infrastructure (CI) to promote Electric Vehicle (EV) adoption. A critical factor in these efforts is understanding the charging patterns of EV drivers, which is often neglected by existing studies. We use a large-scale dataset of charging events in Brussels to simulate the effect of different charging patterns on 3 KPIs: network utilization, energy consumption, and user convenience (i.e. failed connection attempts). Our findings suggest that EV drivers with habitual charging patterns are important contributors to the overall energy consumption and utilization rate; however, they also cause more charging inconvenience. Moreover, charging inconvenience is found to be spatially concentrated in certain areas, and unequally distributed over different user groups. Policy makers can use these results either to adapt the roll-out of public CI to the observed charging behavior, or to actively steer charging behavior to achieve a more efficient use of the existing CI.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104730"},"PeriodicalIF":7.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829344","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}
Simeng Ma , Shizhuo Lin , Bo Han , Chen Zhang , Zhiqiang Wei , Lingxiang Xue , Jingbo Zhao , Kun Wang , Jian Yu , Philip K. Hopke
{"title":"Revealing considerable emissions reduction potential in flight operations: A real-time emission perspective","authors":"Simeng Ma , Shizhuo Lin , Bo Han , Chen Zhang , Zhiqiang Wei , Lingxiang Xue , Jingbo Zhao , Kun Wang , Jian Yu , Philip K. Hopke","doi":"10.1016/j.trd.2025.104745","DOIUrl":"10.1016/j.trd.2025.104745","url":null,"abstract":"<div><div>Accurately estimating aviation emissions is crucial for developing strategies to mitigate environmental impacts. However, aircraft’s unique four-dimensional operation characteristics and limitations in aircraft-to-ground communication technology pose challenges for precise and dynamic emissions estimation. This study proposed a hybrid machine learning approach for real-time aviation emissions estimation based on four-dimensional flight trajectories. Using Qingdao Airport as a case study, we generated a high-resolution emission inventory and explored the emission reduction potential in flight operations. Results demonstrated that: (1) our approach achieved higher prediction accuracy for real-time fuel flow rates and emissions than conventional models, owing to a comprehensively considering the nonlinear relationships between aircraft performance and trajectories under complex operating conditions; (2) emission estimation results from our approach were 22 %−78 % higher than the ICAO reference values; (3) an emission reduction potential of 5 %−65 % was identified in flight operations. Finally, four policy recommendations were developed to reduce emissions from airport flight activities.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104745"},"PeriodicalIF":7.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829342","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":"Decarbonizing the last mile. Innovations from an online retailers’ perspective","authors":"Iria González-Romero , Ángel Ortiz-Bas , J.Carlos Prado-Prado","doi":"10.1016/j.trd.2025.104752","DOIUrl":"10.1016/j.trd.2025.104752","url":null,"abstract":"<div><div>E-commerce is struggling to tackle its carbonization impact. Despite extensive research on solutions for decarbonizing the last mile, real-world implementation remains limited. In this context, through a qualitative research design, this research aims to identify innovations that could positively impact this decarbonization. First, a literature review and twenty semi-structured interviews with e-retailers identify innovations that are already being implemented. Thus, 11 decarbonizing innovations are identified, providing guidance through its detailed description. Finally, a methodology to quantify their decarbonization impact based on CO<sub>2</sub> emissions is implemented in a case study. Overall, for a specific case study, the positive impact all innovations have on decarbonizing the last mile is highlighted. Thus, this research bridges the gap between theory and practice by identifying actionable innovations and quantifying their impacts in a case study, helping e-retailers decarbonize their last mile.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104752"},"PeriodicalIF":7.3,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829343","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}
Nazanin Rezaei , Juan David Caicedo , Thomas P. Wenzel , Annika Todd-Blick , K. Sydny Fujita , Cristian Poliziani , Zachary A. Needell , Carlos Guirado , C. Anna Spurlock
{"title":"Zooming in on virtual commutes: Telecommuting impacts on mobility and sustainability","authors":"Nazanin Rezaei , Juan David Caicedo , Thomas P. Wenzel , Annika Todd-Blick , K. Sydny Fujita , Cristian Poliziani , Zachary A. Needell , Carlos Guirado , C. Anna Spurlock","doi":"10.1016/j.trd.2025.104731","DOIUrl":"10.1016/j.trd.2025.104731","url":null,"abstract":"<div><div>Motivated by a societal shift towards remote work and rapid advancement in information and communication technologies, this study examines the impact of telecommuting on urban mobility across the nine counties of the San Francisco Bay Area, California. Utilizing a behaviorally realistic integrated agent-based transportation model and recent data on telecommuting patterns, we simulate the impact of multiple telecommuting scenarios on transportation system outcomes. This provides a comprehensive picture of the impact of remote work on travel costs and accessibility of all travelers, factoring in changes in mode use and congestion. We analyze how telecommuting influences broader societal factors such as transportation energy consumption. Our findings indicate that increased telecommuting reduces overall person miles traveled and transportation energy consumption. Furthermore, telecommuting results in externality benefits by improving accessibility and reducing commute times for non-telecommuters.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104731"},"PeriodicalIF":7.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825864","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":"Driving factors and interactions of urban transportation carbon emissions: A case study of China","authors":"Jiangjun Wan, Xiong Wu, Yuye Li, Zhonglin Li, Kuntao Deng, Jiaqi Zeng, Xinrui Fan, Ying Cao","doi":"10.1016/j.trd.2025.104740","DOIUrl":"10.1016/j.trd.2025.104740","url":null,"abstract":"<div><div>Regional disparities among different types of cities pose significant challenges to reducing carbon emissions from urban transportation. This research classifies cities into six categories and examines the factors driving urban transportation carbon emissions, along with their interactions, using the Geographical Detector Model (GDM) and the Logarithmic Mean Divisia Index (LMDI). Building on this foundation, a novel decoupling effort model is developed to assess the contributions of each driving factor to the decoupling process. The findings highlight that economic growth is a major driver of emissions in large cities like Shanghai and Chengdu, while industrial structure plays a key role in large coastal cities such as Yantai. In contrast, urban public transportation participation and carrying capacity are pivotal factors in large inland cities like Shijiazhuang and medium-sized cities like Sanya and Jinhua. Notably, the study reveals a post-2016 challenge in balancing public transportation engagement and carrying capacity, emphasizing the need for tailored low-carbon policies in urban transport planning. These insights provide valuable guidance for cities worldwide facing similar transportation carbon emission challenges, offering a framework for more context-specific and effective carbon reduction strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104740"},"PeriodicalIF":7.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829341","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":"Cold waves and electric vehicle adoption: Evidence from Chinese cities","authors":"Jiayang Gao , Ning Zhang , Tao Zhang","doi":"10.1016/j.trd.2025.104748","DOIUrl":"10.1016/j.trd.2025.104748","url":null,"abstract":"<div><div>The adoption of EVs is susceptible to extreme weather conditions. Currently, in transportation research literature there is no empirical research studying this. Cold waves can affect the performance of electric vehicles (EVs), leading to a reduction in consumer purchases. We use panel data from 293 Chinese cities, covering the period from 2016 to 2022, to examine the effect of the annual number of cold waves on EV adoption. We find that for each additional cold wave, the number of EV sold decreases by 10.1%. We employ instrumental variables and conduct a series of robustness tests to ensure the reliability of our estimates. Heterogeneity analysis reveals that cities with different terrain relief, vehicle density, and average distance between public charging facilities respond differently to cold waves in terms of EV adoption. Our findings offer insights into policymaking related to EV adoption and promotion, particularly considering the impact of cold waves.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104748"},"PeriodicalIF":7.3,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829340","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":"Decoding urban transportation: Trade-offs in mode choices using big data","authors":"Linmu Zou , Zijia Wang , Rui Guo , Lu Zhao","doi":"10.1016/j.trd.2025.104756","DOIUrl":"10.1016/j.trd.2025.104756","url":null,"abstract":"<div><div>Understanding the determinants of urban transportation mode choice is crucial for developing efficient, sustainable, and green transit systems in metropolitan areas. This study proposes a comprehensive framework that integrates big data and machine learning techniques, leveraging a large dataset comprising over ten million trips to investigate the factors influencing transportation mode choice under clear competition during peak hours. We examine how travel attributes, land use, network centrality, and demographics shape the choices of subway, bus, taxi, and bike-share users. Employing oversampling and interpretable techniques, our analysis reveals that travel attributes significantly influence transportation mode choices, especially for public transportation. Additionally, the marginal effects of the features on mode choice are efficiently captured. Interaction effects between travel time and cost further highlight the complex trade-offs travelers make under different choice probabilities. The findings underscore the importance of integrating diverse data sources for a holistic understanding of urban transportation dynamics.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104756"},"PeriodicalIF":7.3,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825994","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}
Jinmeng Zhang , Bi Yu Chen , Chenxi Fu , Zehao Yuan , Donggen Wang
{"title":"Uncovering horizontal and vertical inequities of individual accessibility using mobile phone data","authors":"Jinmeng Zhang , Bi Yu Chen , Chenxi Fu , Zehao Yuan , Donggen Wang","doi":"10.1016/j.trd.2025.104755","DOIUrl":"10.1016/j.trd.2025.104755","url":null,"abstract":"<div><div>Reducing accessibility inequities among all individuals has been established as one of the sustainable development goals for fostering an equitable society. To address the limitations of conventional aggregated accessibility measures, this study quantifies individual-level accessibility inequities among 2.12 million phone users in Shenzhen, China, using mobile phone tracking data. The findings reveal significant horizontal and vertical inequities in individual accessibility, driven by both spatial disparities and interpersonal variations within residential areas. Human mobility significantly mitigates horizontal inequities by 33%-52% and vertical inequities by 40%-76% across three types of urban facilities, particularly benefiting users in regions with lower place accessibility. The study also identifies vulnerable individuals with low accessibility levels, emphasizing the joint influence of individual mobility and neighborhood facility availability. These findings provide new empirical insights into the mechanisms of accessibility inequities and offer methodological guidance for selecting appropriate accessibility measures in equity studies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104755"},"PeriodicalIF":7.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823965","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":"Drivers and barriers to bus electrification in the United States: Transit agency’s perspective","authors":"Aleks Paskett , Ziqi Song , Antje Graul","doi":"10.1016/j.trd.2025.104721","DOIUrl":"10.1016/j.trd.2025.104721","url":null,"abstract":"<div><div>Battery-electric bus (BEB) technology has advanced, and many transit agencies globally are adopting it as a sustainable alternative. Despite setting zero-emission goals, several barriers hinder the widespread adoption of BEBs. This study examines these obstacles and the motivations for agencies to transition to BEBs. Through interviews with transit agency leaders who manage BEB programs, researchers identified the most significant barriers and drivers influencing electrification decisions. The primary challenge remains the high initial costs associated with purchasing BEBs and their required infrastructure. Agencies also raised concerns about the operational capabilities of BEBs in comparison to traditional diesel buses. Despite these challenges, the environmental benefits of BEBs are the major motivating factor. The interviewed agencies are at varying stages of implementing BEB technology, influenced by local conditions and funding opportunities. Policymakers and industry leaders are encouraged to understand and address these barriers to support agencies in meeting both environmental and service objectives.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104721"},"PeriodicalIF":7.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817700","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}
Minhazul Alam , A K M Rakib , A S M Monjurul Hasan , Md Nazrul Islam Siddique , Md. Ahsan Kabir , Andrea Trianni
{"title":"Decarbonizing road transportation: Barriers and drivers in an emerging economy context","authors":"Minhazul Alam , A K M Rakib , A S M Monjurul Hasan , Md Nazrul Islam Siddique , Md. Ahsan Kabir , Andrea Trianni","doi":"10.1016/j.trd.2025.104723","DOIUrl":"10.1016/j.trd.2025.104723","url":null,"abstract":"<div><div>The transportation sector ranks as the second-largest contributor to global greenhouse gas emissions, primarily owing to its heavy reliance on fossil fuels. Consequently, the imperative to decarbonize transportation is paramount in the pursuit of sustainable development goals. However, despite its critical importance, research on decarbonization in transportation remains significantly limited. This gap in research is particularly glaring in developing countries, where there is a notable absence of studies addressing the decarbonization challenges within the transport sector. Addressing this research gap, this study aims to investigate the barriers and drivers influencing the decarbonization of the passenger transport sector in an emerging economy context, particularly for Bangladesh. The top three barriers identified include the ’Lack of concrete transportation policy’, ’Lack of decarbonization strategy/policy’, and ’Lack of biofuel refueling station/EV charging station’. These barriers are comprehensively analyzed based on various stakeholder perspectives. In terms of categorical barriers, policy barriers and technical barriers are predominant over other barriers. Despite these challenges, there is a growing interest in decarbonizing the transportation sector, albeit with some limitations. The primary drivers to decarbonize the transport sector include ‘Profitable return on investment’ and ’Government subsidies’. In terms of categorical drivers, economic drivers are dominant, followed by policy and social drivers. These findings are particularly relevant to the government bodies, users, manufacturers, and policymakers, offering valuable insights for navigating the complex landscape of decarbonizing passenger transport in emerging economies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104723"},"PeriodicalIF":7.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817629","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}