Pub Date : 2025-02-01DOI: 10.1016/j.trd.2024.104517
David Meyer, Lisa Kraus, Luca Husemann, Heike Proff
Achieving the climate goals requires a transformation of the mobility and energy sector. By using bidirectional charging, the storage capacity of electric vehicles can stabilize the increasingly unbalanced power grids. Parked employee and company vehicles can be used as fleet power plant at the workplace. However, this use case and the willingness of employees to participate have so far been neglected in the literature. User acceptance is a crucial basis for the introduction of new technologies. This study uses an online survey in German companies based on a choice-based conjoint analysis to understand the preferences of 772 employees to provide their vehicles for bidirectional charging. The results show the high relevance of battery aging and mandatory plug-in time, while remuneration and minimum range are less relevant at the workplace compared to other use cases. Significant differences were identified between employees with company cars and leased or cash-purchased private cars.
{"title":"Willingness of employees to accept bidirectional charging at the workplace","authors":"David Meyer, Lisa Kraus, Luca Husemann, Heike Proff","doi":"10.1016/j.trd.2024.104517","DOIUrl":"10.1016/j.trd.2024.104517","url":null,"abstract":"<div><div>Achieving the climate goals requires a transformation of the mobility and energy sector. By using bidirectional charging, the storage capacity of electric vehicles can stabilize the increasingly unbalanced power grids. Parked employee and company vehicles can be used as fleet power plant at the workplace. However, this use case and the willingness of employees to participate have so far been neglected in the literature. User acceptance is a crucial basis for the introduction of new technologies. This study uses an online survey in German companies based on a choice-based conjoint analysis to understand the preferences of 772 employees to provide their vehicles for bidirectional charging. The results show the high relevance of battery aging and mandatory plug-in time, while remuneration and minimum range are less relevant at the workplace compared to other use cases. Significant differences were identified between employees with company cars and leased or cash-purchased private cars.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104517"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143258","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2024.104582
Julie Cidell , Brenda Kayzar , Andrea Pimentel Rivera
This paper considers the outcomes of four artist-in-residence (AiR) programs embedded in US Departments of Transportation (DOTs) in the early 2020s: two in state DOTs (Minnesota and Washington) and two in city DOTs (Los Angeles, CA, and Chattanooga, TN). The overarching goal of these programs was to encourage transportation practitioners to think more broadly about the relationship between transportation and equity through the introduction of creative practice. We evaluated these four programs as part of a larger study on arts and culture in transportation on behalf of the Minnesota DOT (TRB 2022). While formal evaluations might not have occurred for any of these residencies, it is nevertheless possible to consider them as more or less successful based on a) interviews with artists and agency representatives, and b) future actions the agencies are taking as an outcome of the residencies. We find the success of these programs correlates with the extent to which they incorporated epistemic justice in their steps towards transportation equity and mobility justice. In sum, the idea of epistemic justice, which has traditionally been applied in transportation studies to look at the state-community relationship, is also a useful tool when practiced in AiR programs when the aim is to change internal state practices.
{"title":"Evaluating the productive frictions of Artist-in-Residence programs in departments of transportation","authors":"Julie Cidell , Brenda Kayzar , Andrea Pimentel Rivera","doi":"10.1016/j.trd.2024.104582","DOIUrl":"10.1016/j.trd.2024.104582","url":null,"abstract":"<div><div>This paper considers the outcomes of four artist-in-residence (AiR) programs embedded in US Departments of Transportation (DOTs) in the early 2020s: two in state DOTs (Minnesota and Washington) and two in city DOTs (Los Angeles, CA, and Chattanooga, TN). The overarching goal of these programs was to encourage transportation practitioners to think more broadly about the relationship between transportation and equity through the introduction of creative practice. We evaluated these four programs as part of a larger study on arts and culture in transportation on behalf of the Minnesota DOT (TRB 2022). While formal evaluations might not have occurred for any of these residencies, it is nevertheless possible to consider them as more or less successful based on a) interviews with artists and agency representatives, and b) future actions the agencies are taking as an outcome of the residencies. We find the success of these programs correlates with the extent to which they incorporated epistemic justice in their steps towards transportation equity and mobility justice. In sum, the idea of epistemic justice, which has traditionally been applied in transportation studies to look at the state-community relationship, is also a useful tool when practiced in AiR programs when the aim is to change internal state practices.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104582"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142784","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2025.104595
Erik Bjørnson Lunke, Lars Böcker
This article investigates whether public transport (PT) accessibility is related to socioeconomic residential sorting in the Oslo region. There is widespread concern that PT services contribute to gentrification and exclusionary processes, although empirical evidence for this is limited. This study uses detailed dwelling transaction data and estimates conditional logit models on residential purchases among different income groups. The results show that the effect of PT accessibility on dwelling selection varies as the life course progresses. Families with children and older households display lower effects of PT accessibility on residential choice than young, childless households. At the same time, PT accessibility increases the likelihood of dwelling purchase more for high-income households than for households with a lower income. These results confirm that PT accessibility is a valued and limited residential asset, one that households with more economic resources are better able to obtain.
{"title":"Who buys public transport accessible housing? Residential sorting in the Oslo region","authors":"Erik Bjørnson Lunke, Lars Böcker","doi":"10.1016/j.trd.2025.104595","DOIUrl":"10.1016/j.trd.2025.104595","url":null,"abstract":"<div><div>This article investigates whether public transport (PT) accessibility is related to socioeconomic residential sorting in the Oslo region. There is widespread concern that PT services contribute to gentrification and exclusionary processes, although empirical evidence for this is limited. This study uses detailed dwelling transaction data and estimates conditional logit models on residential purchases among different income groups. The results show that the effect of PT accessibility on dwelling selection varies as the life course progresses. Families with children and older households display lower effects of PT accessibility on residential choice than young, childless households. At the same time, PT accessibility increases the likelihood of dwelling purchase more for high-income households than for households with a lower income. These results confirm that PT accessibility is a valued and limited residential asset, one that households with more economic resources are better able to obtain.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104595"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143111","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}
Maritime shipping is a major source of GHG emissions worldwide. Climate change is anticipated to escalate the incidence and intensity of extreme weather events, significantly impacting shipping emissions. Although considerable attention has been given to the impact of natural disasters and climate change on maritime transport, research in this area often remains fragmented and disconnected from studies on shipping emissions. This hinders the development of comprehensive strategies that address both the immediate risks posed by extreme weather events and the long-term goal of reducing GHG emissions. To fill this gap, this paper critically reviews the literature in relevant fields. We conclude that the impact of climate-related disasters on shipping emissions remains underexplored in many areas and discuss potential research pathways for future studies. This paper offers comprehensive insights and actionable recommendations for the formulation of environmental policies and the promotion of sustainable development in the maritime industry.
{"title":"A review of climate-related disasters impact on global shipping carbon emissions","authors":"Guangyu Huang , Zhangyuan He , Pengjun Zhao , Caixia Zhang","doi":"10.1016/j.trd.2024.104553","DOIUrl":"10.1016/j.trd.2024.104553","url":null,"abstract":"<div><div>Maritime shipping is a major source of GHG emissions worldwide. Climate change is anticipated to escalate the incidence and intensity of extreme weather events, significantly impacting shipping emissions. Although considerable attention has been given to the impact of natural disasters and climate change on maritime transport, research in this area often remains fragmented and disconnected from studies on shipping emissions. This hinders the development of comprehensive strategies that address both the immediate risks posed by extreme weather events and the long-term goal of reducing GHG emissions. To fill this gap, this paper critically reviews the literature in relevant fields. We conclude that the impact of climate-related disasters on shipping emissions remains underexplored in many areas and discuss potential research pathways for future studies. This paper offers comprehensive insights and actionable recommendations for the formulation of environmental policies and the promotion of sustainable development in the maritime industry.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104553"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143145","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2024.104542
Mengchu Li , Yujin Tang , Kechang Wu , Huan Cheng
Vehicle emissions create growing environmental problems that need creative monitoring methods. This study introduces a real-time pollution monitoring system leveraging deep convolutional neural networks to detect and track vehicles using urban surveillance cameras. By integrating Faster-RCNN and YOLO models, the system estimates vehicle speeds and pollutant emissions based on homography transformations for accurate real-world distance measurements. The system’s robustness is demonstrated through trials, where YOLO outperformed Faster-RCNN in speed and efficiency for urban traffic monitoring. The results imply that real-time emissions data may guide policy choices to lower greenhouse gas emissions, allowing actions such as traffic limitations based on emissions, congestion pricing, and best public transit routes. This scalable, cost-effective system provides a new framework for cities to monitor pollution without requiring additional infrastructure investment, making it particularly relevant for resource-constrained urban environments.
{"title":"Autonomous vehicle pollution monitoring: An innovative solution for policy and environmental management","authors":"Mengchu Li , Yujin Tang , Kechang Wu , Huan Cheng","doi":"10.1016/j.trd.2024.104542","DOIUrl":"10.1016/j.trd.2024.104542","url":null,"abstract":"<div><div>Vehicle emissions create growing environmental problems that need creative monitoring methods. This study introduces a real-time pollution monitoring system leveraging deep convolutional neural networks to detect and track vehicles using urban surveillance cameras. By integrating Faster-RCNN and YOLO models, the system estimates vehicle speeds and pollutant emissions based on homography transformations for accurate real-world distance measurements. The system’s robustness is demonstrated through trials, where YOLO outperformed Faster-RCNN in speed and efficiency for urban traffic monitoring. The results imply that real-time emissions data may guide policy choices to lower greenhouse gas emissions, allowing actions such as traffic limitations based on emissions, congestion pricing, and best public transit routes. This scalable, cost-effective system provides a new framework for cities to monitor pollution without requiring additional infrastructure investment, making it particularly relevant for resource-constrained urban environments.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104542"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143252","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2024.104557
Eui-Jin Kim , Rubal Dua , Prateek Bansal
Repurchasing battery electric vehicles (BEVs) is critical to achieving BEV sales targets and decarbonizing China’s transport sector. This study investigates why current BEV owners in China might not repurchase a BEV and who they are. We conducted a stated preference experiment where respondents chose between an improved BEV and an internal combustion engine vehicle (ICEV) in the next purchase. We analyzed the effect of vehicle-specific attributes and attitudes on BEV repurchase likelihood using an integrated choice and latent variable (ICLV) approach. Results show that current BEV owners dissatisfied with the “driving range and charging infrastructure” and “driving performance and available BEV options” are less likely to repurchase a BEV, with the negative effect of the latter being higher. These findings provide valuable insights to devise policies promoting the repurchase of BEVs.
{"title":"Why Chinese car owners may not repurchase electric vehicles?","authors":"Eui-Jin Kim , Rubal Dua , Prateek Bansal","doi":"10.1016/j.trd.2024.104557","DOIUrl":"10.1016/j.trd.2024.104557","url":null,"abstract":"<div><div>Repurchasing battery electric vehicles (BEVs) is critical to achieving BEV sales targets and decarbonizing China’s transport sector. This study investigates why current BEV owners in China might not repurchase a BEV and who they are. We conducted a stated preference experiment where respondents chose between an improved BEV and an internal combustion engine vehicle (ICEV) in the next purchase. We analyzed the effect of vehicle-specific attributes and attitudes on BEV repurchase likelihood using an integrated choice and latent variable (ICLV) approach. Results show that current BEV owners dissatisfied with the “driving range and charging infrastructure” and “driving performance and available BEV options” are less likely to repurchase a BEV, with the negative effect of the latter being higher. These findings provide valuable insights to devise policies promoting the repurchase of BEVs.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104557"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142777","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2024.104565
Tingting Chen , Lingxiao Wu , Shuaian Wang , Shuai Jia , Wei Liu
Tugboat assistance is essential for port operations, supporting vessels during berthing, unberthing, and shifting operations. However, significant emissions and pollutants generated by these operations have prompted ports to adopt electrification measures. Electric tugboats have emerged as a promising solution, but their widespread adoption is hindered by the significant capital investment required for electric tugboat purchase and charging facility deployment. To address this problem, this study focuses on strategic planning for the purchase of electric tugboats and the deployment of charging facilities, considering the utilization of existing diesel tugboats, in order to achieve emissions reduction and lower investment costs for the port operator. Additionally, this study also designs the tugboat schedule for the operational phase to effectively meet the tugging demands of vessels. This schedule includes managing charging processes of electric tugboats and coordinating work shifts of both electric and diesel tugboats. A novel integer programming model is then developed to address the investigated problem of integrating strategic and operational phases. Extensive numerical experiments are conducted to demonstrate the applicability of the proposed model. The computational results indicate that introducing electric tugboats can significantly reduce the total emissions of CO2, SOx, NOx, and PM by 91.83%, compared to the scenario where only diesel tugboats are used. Furthermore, the study examines the impacts of various key factors on the emissions reduction and efficient operations to provide some managerial insights for the port operator.
{"title":"Tugboat electrification planning for container ports","authors":"Tingting Chen , Lingxiao Wu , Shuaian Wang , Shuai Jia , Wei Liu","doi":"10.1016/j.trd.2024.104565","DOIUrl":"10.1016/j.trd.2024.104565","url":null,"abstract":"<div><div>Tugboat assistance is essential for port operations, supporting vessels during berthing, unberthing, and shifting operations. However, significant emissions and pollutants generated by these operations have prompted ports to adopt electrification measures. Electric tugboats have emerged as a promising solution, but their widespread adoption is hindered by the significant capital investment required for electric tugboat purchase and charging facility deployment. To address this problem, this study focuses on strategic planning for the purchase of electric tugboats and the deployment of charging facilities, considering the utilization of existing diesel tugboats, in order to achieve emissions reduction and lower investment costs for the port operator. Additionally, this study also designs the tugboat schedule for the operational phase to effectively meet the tugging demands of vessels. This schedule includes managing charging processes of electric tugboats and coordinating work shifts of both electric and diesel tugboats. A novel integer programming model is then developed to address the investigated problem of integrating strategic and operational phases. Extensive numerical experiments are conducted to demonstrate the applicability of the proposed model. The computational results indicate that introducing electric tugboats can significantly reduce the total emissions of CO<sub>2</sub>, SOx, NOx, and PM by 91.83%, compared to the scenario where only diesel tugboats are used. Furthermore, the study examines the impacts of various key factors on the emissions reduction and efficient operations to provide some managerial insights for the port operator.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104565"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142836","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2025.104594
Xuanyu Liu , Qing Yu , Weihao Bian , Hao Yu , Chonghao Zhang , Xiang Liu , Haoran Jiang , Xiao Luo
Ridesharing is a crucial component in optimizing urban mobility by alleviating traffic congestion and reducing emissions. However, the ridesharing potential remains underutilized, and the distribution characteristics of this potential have yet to be well quantified. This study leverages the shareability network method and interpretable machine learning techniques, utilizing high-precision taxi trajectory data, to analyze the spatiotemporal patterns of ridesharing potential in Shanghai and to elucidate the spatiotemporal dynamics of the factors influencing it. The findings reveal that ridesharing potential is highest during evening peaks, followed by weekends, and lowest during morning peaks, which contrasts with typical residential travel patterns. The results highlight the nonlinear, spatiotemporal heterogeneity of built environment impacts on ridesharing potential, with significant variations in the importance of residential, employment, and leisure factors across different time periods. These insights provide valuable guidance for urban planners and transportation network companies in enhancing operational efficiency and effectively promoting ridesharing.
{"title":"Unraveling spatiotemporal dynamics of ridesharing potential: Nonlinear effects of the built environment","authors":"Xuanyu Liu , Qing Yu , Weihao Bian , Hao Yu , Chonghao Zhang , Xiang Liu , Haoran Jiang , Xiao Luo","doi":"10.1016/j.trd.2025.104594","DOIUrl":"10.1016/j.trd.2025.104594","url":null,"abstract":"<div><div>Ridesharing is a crucial component in optimizing urban mobility by alleviating traffic congestion and reducing emissions. However, the ridesharing potential remains underutilized, and the distribution characteristics of this potential have yet to be well quantified. This study leverages the shareability network method and interpretable machine learning techniques, utilizing high-precision taxi trajectory data, to analyze the spatiotemporal patterns of ridesharing potential in Shanghai and to elucidate the spatiotemporal dynamics of the factors influencing it. The findings reveal that ridesharing potential is highest during evening peaks, followed by weekends, and lowest during morning peaks, which contrasts with typical residential travel patterns. The results highlight the nonlinear, spatiotemporal heterogeneity of built environment impacts on ridesharing potential, with significant variations in the importance of residential, employment, and leisure factors across different time periods. These insights provide valuable guidance for urban planners and transportation network companies in enhancing operational efficiency and effectively promoting ridesharing.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104594"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143164","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2024.104581
Wanyi Deng , Xiaoxue Ma , Weiliang Qiao
A resilience-oriented systematic methodology is developed to evaluate the performance of safety barriers in mitigating operational risk. The intricate interactions under multiple disruptions and the barrier-based risk management principles within fluctuating maritime operational systems are also investigated. The operational scenario is initially described using system theoretic process analysis (STPA), which identifies the constituent elements contributing to various resilience capabilities of barrier systems. Subsequently, qualitative resilience descriptions based on STPA are quantified into probabilistic flow network models integrated with Green’s functions and path statistical algorithm. This enables the calculation of the performance of barrier systems and individual barriers. Furthermore, targeted performance enhancement strategies are proposed considering the management and optimization principles of barriers. The proposed enhancements encompass enhancement in system design and management policies, reduction of system vulnerabilities, and optimization of resource allocation. The proposed methodologies hold significant potential for providing a comprehensive evaluation of barrier performance within a complex system.
{"title":"Resilience-oriented safety barrier performance assessment in maritime operational risk management","authors":"Wanyi Deng , Xiaoxue Ma , Weiliang Qiao","doi":"10.1016/j.trd.2024.104581","DOIUrl":"10.1016/j.trd.2024.104581","url":null,"abstract":"<div><div>A resilience-oriented systematic methodology is developed to evaluate the performance of safety barriers in mitigating operational risk. The intricate interactions under multiple disruptions and the barrier-based risk management principles within fluctuating maritime operational systems are also investigated. The operational scenario is initially described using system theoretic process analysis (STPA), which identifies the constituent elements contributing to various resilience capabilities of barrier systems. Subsequently, qualitative resilience descriptions based on STPA are quantified into probabilistic flow network models integrated with Green’s functions and path statistical algorithm. This enables the calculation of the performance of barrier systems and individual barriers. Furthermore, targeted performance enhancement strategies are proposed considering the management and optimization principles of barriers. The proposed enhancements encompass enhancement in system design and management policies, reduction of system vulnerabilities, and optimization of resource allocation. The proposed methodologies hold significant potential for providing a comprehensive evaluation of barrier performance within a complex system.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104581"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143168","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}
Pub Date : 2025-02-01DOI: 10.1016/j.trd.2025.104599
Zhicheng Jin , Xiaotong Sun , Zhengtian Xu , Huizhao Tu
Electric ride-hailing vehicles feature distinct charging needs compared to private-owned electric vehicles due to their intense daily usage and unique service characteristics. This study leverages trip data from 96,716 ride-hailing vehicles in Shanghai to develop a data-driven approach that forecasts spatially varying potential charging demand. Multiple linear regression, spatial autoregressive, spatial error, and spatial autoregressive combined models examine the relationship between charging demand and built environment variables. The analysis confirms strong positive spatial autocorrelation and identifies spatial lags in error terms. Positive correlations are found with the densities of metro and bus stations, residential communities, and catering, while negative ones with distances to airports and train stations and the density of medical facilities. Spatial panel and geographically weighted regression further uncover temporal variations in spatial lags and spatial variations in explanatory variables. Finally, supply-side data is incorporated to assess the capability of current public charging infrastructure to meet potential demand.
{"title":"A data-driven approach to uncovering the charging demand of electrified ride-hailing services","authors":"Zhicheng Jin , Xiaotong Sun , Zhengtian Xu , Huizhao Tu","doi":"10.1016/j.trd.2025.104599","DOIUrl":"10.1016/j.trd.2025.104599","url":null,"abstract":"<div><div>Electric ride-hailing vehicles feature distinct charging needs compared to private-owned electric vehicles due to their intense daily usage and unique service characteristics. This study leverages trip data from 96,716 ride-hailing vehicles in Shanghai to develop a data-driven approach that forecasts spatially varying potential charging demand. Multiple linear regression, spatial autoregressive, spatial error, and spatial autoregressive combined models examine the relationship between charging demand and built environment variables. The analysis confirms strong positive spatial autocorrelation and identifies spatial lags in error terms. Positive correlations are found with the densities of metro and bus stations, residential communities, and catering, while negative ones with distances to airports and train stations and the density of medical facilities. Spatial panel and geographically weighted regression further uncover temporal variations in spatial lags and spatial variations in explanatory variables. Finally, supply-side data is incorporated to assess the capability of current public charging infrastructure to meet potential demand.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104599"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143174","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}
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