Transportation Research Part D-transport and Environment最新文献_第9页

Tugboat electrification planning for container ports

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104565

Tingting Chen , Lingxiao Wu , Shuaian Wang , Shuai Jia , Wei Liu

{"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}

引用次数: 0

Unraveling spatiotemporal dynamics of ridesharing potential: Nonlinear effects of the built environment

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2025.104594

Xuanyu Liu , Qing Yu , Weihao Bian , Hao Yu , Chonghao Zhang , Xiang Liu , Haoran Jiang , Xiao Luo

{"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}

引用次数: 0

Resilience-oriented safety barrier performance assessment in maritime operational risk management

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104581

Wanyi Deng , Xiaoxue Ma , Weiliang Qiao

{"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}

引用次数: 0

A data-driven approach to uncovering the charging demand of electrified ride-hailing services

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2025.104599

Zhicheng Jin , Xiaotong Sun , Zhengtian Xu , Huizhao Tu

{"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}

引用次数: 0

Impact of road infrastructure on wildlife corridors in Hainan rainforests

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104539

Guoling Xiong , Fan Yang , Tongli Wang , Rongxiao He , Lanxi Li

{"title":"Impact of road infrastructure on wildlife corridors in Hainan rainforests","authors":"Guoling Xiong , Fan Yang , Tongli Wang , Rongxiao He , Lanxi Li","doi":"10.1016/j.trd.2024.104539","DOIUrl":"10.1016/j.trd.2024.104539","url":null,"abstract":"<div><div>Roads lead to habitat fragmentation, posing a major threat to biodiversity. This study aimed to refine environmental impact assessment (EIA) for road infrastructure in the Hainan tropical rainforest (Hainan Province − China − Asia) by focusing on the multi-scale impacts of different road types on wildlife corridors. Utilizing graph and circuit theories, we evaluated corridors for species with different dispersal capabilities (1 km, 5 km, 10 km, and 15 km). In our results, highways significantly impacted connectivity, especially for long-distance dispersal species. Provincial roads reduced connectivity for species with 1–5 km dispersal. Complex changes were observed for species with 10–15 km dispersal at patch scale. High connectivity patches for species with a 1 km range were primarily within national parks, but overall connectivity between protected areas was insufficient. This research underscores the importance of strategic planning in optimizing protected corridors and offers suggestions to mitigate the negative impacts of road infrastructure on ecological connectivity.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104539"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143255","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}

引用次数: 0

Which matters to commuting-related CO2 emissions? Parking, population suburbanization, or employment decentralization?

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104461

Weijia Li , Xinyu Cao , Quanhua Hou , Yajian Wei

{"title":"Which matters to commuting-related CO2 emissions? Parking, population suburbanization, or employment decentralization?","authors":"Weijia Li , Xinyu Cao , Quanhua Hou , Yajian Wei","doi":"10.1016/j.trd.2024.104461","DOIUrl":"10.1016/j.trd.2024.104461","url":null,"abstract":"<div><div>Understanding the influences of built environment characteristics at residence and workplace on commuting-related CO2 emission (CCE) is important for achieving net zero carbon emissions from the urban planning perspective. Using 2019 travel survey data and parking survey data in Xi’an, China, this study applies gradient boosting decision trees (GBDT) to reveal the associations between the built environment and CCE. The results show that distance from workplace to CBD is the most important predictor, contributing 54% of the predictive power, and distance from home to CBD contributes 15%. The findings highlight the detrimental effect of population and job decentralization on CCE. Parking spaces at workplace and residence are more important to CCE than parking costs at the respective locations. However, their contributions to predicting CCE are limited once other built environment characteristics are controlled for. Therefore, omitting parking measures may not materially bias the relationships between the characteristics and CCE.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104461"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143261","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}

引用次数: 0

Heavy-duty vehicles dominate expressway tunnel environment analysis and emission factor determination

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104554

Dengkai Tu , Jingchao Xie , Henan Chai , Ren Zhang , Yansheng Zhi , Jiaping Liu

引用次数: 0

Virtual reality in stated preference survey for walkability assessment

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104545

Giovana Facchini , Ana Margarita Larranaga , Fernanda Abreu Cândido dos Santos , Mariana Lovato dos Santos , Christine Tessele Nodari , Daniel Sergio Presta García

{"title":"Virtual reality in stated preference survey for walkability assessment","authors":"Giovana Facchini , Ana Margarita Larranaga , Fernanda Abreu Cândido dos Santos , Mariana Lovato dos Santos , Christine Tessele Nodari , Daniel Sergio Presta García","doi":"10.1016/j.trd.2024.104545","DOIUrl":"10.1016/j.trd.2024.104545","url":null,"abstract":"<div><div>This study analyzes the use of virtual reality in walkability assessment. We conducted a stated preference survey to quantify urban characteristics promoting walkability. The urban characteristics were represented in virtual scenarios, presented in standard videos, and compared with three-dimensional scenarios using virtual reality immersive equipment. Data analysis involved: (i) measure of agreement between the online and in-person survey choices; (ii) analysis of Simulator Sickness symptoms; (iii) estimation of discrete choice models; and (iv) calculation of marginal effects. The results show agreement between online and in-person surveys regarding participants’ neighborhood choices. Some symptoms of simulator sickness increased after the immersive experience, but no apparent effect on participants’ choices was observed. The model results and the marginal effects computed indicate that <em>Attractiveness</em> and <em>Sidewalk pavement quality</em> were the most valued attributes by respondents in both surveys, followed by <em>Security</em>. Virtual reality facilitated the identification of urban environment aspects by providing a more realistic representation of complex attributes such as <em>Safety</em>, <em>Attractiveness</em>, and the availability of <em>Stores and Services</em> through its immersive nature.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104545"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142780","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}

引用次数: 0

Chain-effect of commuting pattern choice under different PM2.5 inhalation information publication degrees

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104560

Yuran Li , Jinhua Xu , Chenghao Liu , Caihua Zhu , Yan Li

{"title":"Chain-effect of commuting pattern choice under different PM2.5 inhalation information publication degrees","authors":"Yuran Li , Jinhua Xu , Chenghao Liu , Caihua Zhu , Yan Li","doi":"10.1016/j.trd.2024.104560","DOIUrl":"10.1016/j.trd.2024.104560","url":null,"abstract":"<div><div>Air pollution has negative effects on residents’ health. The publication of pollution information can affect residents’ commuting behavior. Causal relationships between variables can lead to chained effects on commuting mode choice under different pollution information. A questionnaire is designed to obtain residents’ commuting mode choice intention in polluted weather when they are informed of different pollution information. An improved Bayesian network model is established to evaluate the chain effect of commuting mode choice behaviors. The results of analyzing Xi’an residents’ travel data show that: as pollution information degrees increase, commuters tend to choose modes with lower PM<sub>2.5</sub> inhalation and simplify their commuting process. Variables in each pollution scene can generally form 1–3 influence pathways. These pathways can be categorized by personal, travel, and pollution perception attributes. A more constructive inducement strategy can be developed using the results of this study to promote healthy travel habits among residents.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104560"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143142776","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}

引用次数: 0

Is electric vehicle carsharing for everyone? from activity patterns to user retention

IF 7.3 1区工程技术

Transportation Research Part D-transport and Environment Pub Date : 2025-02-01 DOI: 10.1016/j.trd.2024.104544

Ziad Yassine , Elliot W. Martin , Susan A. Shaheen

{"title":"Is electric vehicle carsharing for everyone? from activity patterns to user retention","authors":"Ziad Yassine , Elliot W. Martin , Susan A. Shaheen","doi":"10.1016/j.trd.2024.104544","DOIUrl":"10.1016/j.trd.2024.104544","url":null,"abstract":"<div><div>This research explores the user dynamics of electric vehicle (EV) carsharing within underserved communities, focusing on BlueLA, a one-way station-based EV carsharing service in Los Angeles, California. This study employs a mixed-methods approach to evaluate how activity patterns differ between BlueLA member types and how membership type influences user retention rates. We conduct an exploratory data, clustering, and survival analyses, using BlueLA trip activity data, supplemented by insights from a user survey and a general population survey. Our results reveal distinct travel behaviors and retention rates between Standard (general population) and Community (low-income qualified) members. Community members, in particular, value BlueLA for enabling longer-distance travel and more flexible mobility; nevertheless, operational challenges like vehicle and charging station availability are significant barriers to continued use for all members. This study highlights the importance of tailored services and policy adaptation to meet diverse user needs and support sustainable and equitable transportation.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104544"},"PeriodicalIF":7.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143143140","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}

引用次数: 0