Shuo Yang , Leyu Zhou , Chang Liu , Yixin Guo , Shan Sun , Liang Guo , Xiaoli Sun
{"title":"Reducing automobile commuting in inner-city and suburban: Integrating land-use and management intervention","authors":"Shuo Yang , Leyu Zhou , Chang Liu , Yixin Guo , Shan Sun , Liang Guo , Xiaoli Sun","doi":"10.1016/j.trd.2024.104460","DOIUrl":"10.1016/j.trd.2024.104460","url":null,"abstract":"<div><div>Few studies have examined how demand-side management measures, alone or in conjunction with built environment interventions, affect car owners’ automobile commuting choices in developing cities. Additionally, most studies overlook the difference between inner-cities and suburbs. Applying extreme gradient boosting decision trees and shapley method to the 2020 Wuhan travel survey data, this study addresses these gaps. Transportation management measures and the built environment individually exert a significant impact on car commuting, while jointly exhibiting synergistic effects on car commuting. Meanwhile, most of these effects are nonlinear and exhibit different properties in the inner-city and suburbs. In the inner-city, proximity to central development and population densification can reduce automobile commuting. Parking fees and transit allowances enhance these benefits. For suburbs, job densification and mixed development are more effective, but have limited impact on the inner city. This study demonstrated that integrating built environment interventions with management measures enhances policy effectiveness.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104460"},"PeriodicalIF":7.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416460","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":"Exploring impacts of electricity tariff on charging infrastructure planning: An activity-based approach","authors":"Alireza Rostami , Omer Verbas , Behdad Ghafarnezhad , Amirali Soltanpour , Mehrnaz Ghamami , Ali Zockaie","doi":"10.1016/j.trd.2024.104451","DOIUrl":"10.1016/j.trd.2024.104451","url":null,"abstract":"<div><div>In the past decade, electric vehicles (EVs) have gained popularity for their efficiency and environmental benefits. Advances in battery technology and charging equipment have yielded long-range EVs and fast-charging. However, many major cities lack adequate charging infrastructure for daily EV use. This study addresses this gap by integrating activity-based modeling, charging behavior simulation, and charging infrastructure optimization. The research utilizes the POLARIS agent-based transportation model to accurately capture user activities, trip patterns, and traffic flows. Additionally, the study investigates the impact of fixed and spatiotemporal electricity rate distributions on optimal charging infrastructure deployment. The framework is applied to the Chicago regional area network and analyzed under various EV ownership scenarios. The results reveal significant impacts of the charging pricing strategy on user decision-making and charging demand distribution. There is also a need for consistent pricing policies in charging infrastructure planning and operational phases to avoid drops in service quality.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104451"},"PeriodicalIF":7.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416458","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}
Malene Rudolf Lindberg , Toke Haunstrup Christensen , Thomas Skou Grindsted , Freja Friis
{"title":"Rethinking automobility in the suburb: Experiences with carsharing in a Danish suburb","authors":"Malene Rudolf Lindberg , Toke Haunstrup Christensen , Thomas Skou Grindsted , Freja Friis","doi":"10.1016/j.trd.2024.104444","DOIUrl":"10.1016/j.trd.2024.104444","url":null,"abstract":"<div><div>Suburban areas pose challenges for sustainable mobility due to their reliance on private cars. This paper investigates carsharing as a potential strategy to promote sustainability in suburban mobility. Through qualitative analysis of interviews with households in a newly developed suburban area in Denmark, where a subsidized carsharing service was introduced, this paper explores the possibilities and challenges of transitioning to carsharing. Findings are related to experiences from two other carsharing schemes in the area, based on interviews with the operators. The paper concludes that the success of carsharing in suburbs depends on tailoring schemes to the specific material and planning context and integrating them into the local community. Drawing on practice theory, the paper argues that this integration allows residents to change mobility practices. Further, mobility innovation must also question conventional planning truths, such as parking as a public good and mobility as a private matter.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104444"},"PeriodicalIF":7.3,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416456","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}
Wenyuan Wang , Keke Liu , Yun Peng , Qi Yu , Jiaqi Guo , Taizhou Yu
{"title":"Investigating relationships between shore power utilization and characteristics of ships and berths","authors":"Wenyuan Wang , Keke Liu , Yun Peng , Qi Yu , Jiaqi Guo , Taizhou Yu","doi":"10.1016/j.trd.2024.104446","DOIUrl":"10.1016/j.trd.2024.104446","url":null,"abstract":"<div><div>Shore power (SP) is widely recognized as an efficient strategy for reducing greenhouse gas emissions from vessels while docked at ports. Nevertheless, many SP systems are used irregularly, which results in inefficient emission reduction. This study evaluates SP implementation and utilization in China in 2022 using data from 18,724 ships and 6,551 berths.<!--> <!-->The primary objective is to identify discrepancies in SP construction and usage, especially with regard to ships and berths that differ in terms of tonnage, types, regions, and other characteristics. Using an apriori algorithm, the study looks into the relationship between SP usage and these unique features. Tailored approaches are proposed to improve SP usage addressing specific barriers that result in the low SP utilization rate among these features. The study also measures the increase in the number of ships using SP and the subsequent decrease in carbon emissions as a consequence of these tactical strategies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104446"},"PeriodicalIF":7.3,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416457","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":"The effects of tropical cyclone on the container shipping network: A case study of typhoon Ma-on (2022)","authors":"Zhucheng Huang , Zhangyuan He , Pengjun Zhao , Caixia Zhang , Yingnan Niu , Wuxin Guo , Yanzhe Cui , Weizeng Shao","doi":"10.1016/j.trd.2024.104449","DOIUrl":"10.1016/j.trd.2024.104449","url":null,"abstract":"<div><div>As climate change intensifies, tropical cyclones pose increasing challenges to container shipping networks (CSN). However, research related in this area remains insufficient. In this study, we analyzed the effects of Typhoon Ma-on on the CSN using over 776 million Automatic Identification System (AIS) trajectory signals. Our findings reveal that the typhoon not only altered the network structure of the CSN but also affected the importance of container ports, vessel flow, and travel distance fluctuations along shipping routes. After the typhoon, the recovery of the network’s connectivity and stability, as well as travel time fluctuations, was less robust compared to other aspects. Additionally, the impact ranges for port importance, vessel flow, and travel distance fluctuations were 1,750 km, 500 km, and 2,250 km, respectively, following an inverse distance decay pattern. These findings offer new insights for stakeholders to enhance the effectiveness of disaster prevention and mitigation policies.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104449"},"PeriodicalIF":7.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416466","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":"Does built environment improvement promote transport equity for internal migrants in Beijing?","authors":"Min Zhang, Minghui Shen, Liya Yang","doi":"10.1016/j.trd.2024.104445","DOIUrl":"10.1016/j.trd.2024.104445","url":null,"abstract":"<div><div>Numerous studies and practices leverage improvements in the built environment to encourage green transportation due to its significant potential to shape travel behaviors. Yet, the equity impacts of these improvements on vulnerable populations remain underexplored. This study seeks to address the question: whether built environment improvement strategies advance transport equity? Using a travel survey from Beijing and combining the Capability Approach with the Random Parameter Logit model, we develop a multilevel discrete choice model to estimate capability changes for four hypothetical scenarios of built environment improvement and conduct transportation equity analysis using Maximax principle. Our results show that increasing the mix of land use is prioritized to enhance commuting equity for carless internal migrants. Expanding bus route coverage is recommended to alleviate commuting inequality for low-income internal migrants. However, increasing road density or decreasing the distance to the nearest metro station may not effectively mitigate commuting inequities for disadvantaged internal migrants.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104445"},"PeriodicalIF":7.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416447","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":"Exploring spatial heterogeneity of e-scooter’s relationship with ridesourcing using explainable machine learning","authors":"Junfeng Jiao, Yiming Xu, Yang Li","doi":"10.1016/j.trd.2024.104452","DOIUrl":"10.1016/j.trd.2024.104452","url":null,"abstract":"<div><div>The expansion of e-scooter sharing system has introduced several novel interactions within the existing transportation system. However, few studies have explored how spatial contexts influence these interactions. To fill this gap, this study explored the spatial heterogeneity in e-scooter’s relationship with ridesourcing using data from Chicago, IL. We developed a Light Gradient Boosting Machine (LightGBM) to estimate e-scooter sharing usage using ridesourcing trips along with associated built environment and socio-demographic variables. The model was interpreted using SHapley Additive exPlanations (SHAP). Results indicated that the threshold effects, where the positive relationship between e-scooter sharing and ridesourcing significantly weakened beyond a certain value, were more pronounced in areas with lower population density, fewer jobs, and fewer young, highly educated population. This is primarily attributed to the limited competitiveness of e-scooter sharing in these areas. These findings can assist cities in harmonizing e-scooter sharing and ridesourcing thus promoting sustainable transportation systems.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104452"},"PeriodicalIF":7.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416453","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":"Inclusive mobility hubs: An in-depth exploration of the requirements of disadvantaged groups","authors":"Lluis Martinez, Cathy Macharis, Imre Keserü","doi":"10.1016/j.trd.2024.104447","DOIUrl":"10.1016/j.trd.2024.104447","url":null,"abstract":"<div><div>Mobility hubs are becoming increasingly relevant in urban transport systems because they have the potential to enhance sustainability and decrease transport disadvantages. However, the literature has not yet identified the use that disadvantaged groups make of mobility hubs, nor has it thoroughly revealed their requirements for using them without difficulties. As a means to fill this knowledge gap, this qualitative study applied the Capabilities Approach to thoroughly investigate the requirements of disadvantaged groups concerning the use of mobility hubs. The data was obtained through 45 semi-structured interviews and four focus groups with local experts and potential or current users of mobility hubs in four European regions: Brussels, Munich, Rotterdam-The Hague and Vienna. As a result, eight main categories of requirements and their prevalence among disadvantaged groups were identified. The findings contain several recommendations to support decision-makers and practitioners in developing inclusive mobility hubs.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104447"},"PeriodicalIF":7.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416454","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":"Temperature and electric vehicle adoption: A ZIP code-level analysis in the US","authors":"Gaia Cervini, Jinha Jung, Konstantina Gkritza","doi":"10.1016/j.trd.2024.104435","DOIUrl":"10.1016/j.trd.2024.104435","url":null,"abstract":"<div><div>Electric vehicle (EV) users living in colder or warmer climates experience shorter traveling ranges, slower acceleration, and longer recharge times, which might discourage EV adoption. Using data from seven US states, we analyze the link between temperature and EV adoption at the ZIP code level. We collect land surface and air temperature data, along with sociodemographic, infrastructure, land cover, elevation, and electoral data. Using random forest regression, we predict battery electric (BEV) and plug-in hybrid electric (PHEV) vehicle population change rates and penetrations. Our findings reveal that temperature variation and temperature extremes are among the top predictors of BEV and PHEV adoption. Understanding this relationship is crucial for assessing EV feasibility in diverse climates and ensuring equitable access to the technology. This study underscores the importance of incorporating environmental factors in strategies to promote EV adoption.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104435"},"PeriodicalIF":7.3,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416455","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}
Haoran Fu , Huahui Li , Angran Fu , Xuzhang Wang , Qi Wang
{"title":"Transportation emissions monitoring and policy research: Integrating machine learning and satellite imaging","authors":"Haoran Fu , Huahui Li , Angran Fu , Xuzhang Wang , Qi Wang","doi":"10.1016/j.trd.2024.104421","DOIUrl":"10.1016/j.trd.2024.104421","url":null,"abstract":"<div><div>Determining and monitoring greenhouse gas (GHG) emissions remains complex as the global community endeavours to achieve emissions reduction goals. The road transportation sector poses a notable challenge in accurately calculating and monitoring global emissions due to its significant contribution to emissions worldwide. This research proposes integration of machine learning, satellite imaging, and localized emissions data to establish a precise and universally applicable system for monitoring GHG emissions in road transportation. This approach is known for its high level of accuracy, global scalability, and adaptability to diverse needs. The results indicate that integrating machine learning algorithms with satellite imagery is very effective method for monitoring GHG emissions in the transportation industry. The study’s conclusions are important for policymakers, transport authorities, and worldwide organizations working to reduce GHG emissions.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"136 ","pages":"Article 104421"},"PeriodicalIF":7.3,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142416445","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}