International Journal of Sustainable Transportation最新文献

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The relationship between street design and walking in the Global South a systematic literature review 对全球南方的街道设计与步行之间的关系进行了系统的文献综述
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-05-04 Epub Date: 2025-11-26 DOI: 10.1080/15568318.2025.2596382
Polycap Chebe , Omer Dilian , Karel Martens
{"title":"The relationship between street design and walking in the Global South a systematic literature review","authors":"Polycap Chebe ,&nbsp;Omer Dilian ,&nbsp;Karel Martens","doi":"10.1080/15568318.2025.2596382","DOIUrl":"10.1080/15568318.2025.2596382","url":null,"abstract":"<div><div>While over the past two decades the interest in the relationship between street and road design and walking has been steadily increasing in the Global North, there is relatively little empirical research on the topic in the Global South. This paper reviews the existing literature to assess the current state of knowledge and propose a research agenda. Applying a systematic literature review approach, we identified 24 relevant articles from the Scopus and Web of Science databases. Geographically, the studies covered only 13 out of the 134 Global South countries, with most studies conducted in Asia and only three in Africa. From the reviewed studies, wider sidewalks, good sidewalk surface quality, the presence of trees or greenery, and streetlights were found to have the most significant positive impact on walking. In contrast, a higher number of traffic lanes was identified as the design element with the most significant negative impact on walking. Despite increasing motorization in the Global South and the prevalence of pedestrian traffic crashes, particularly during crossings, the studies primarily focused on sidewalks and associated amenities, with less attention given to carriageway and crossing features. We recommend further research that assesses the impact of carriageway and crossing features on walking, especially in Africa, where most of the population is forced to walk in an environment that can be described as “unwalkable.” Such research can contribute toward the development of more inclusive and safe urban road designs that meet the needs of all users.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 5","pages":"Pages 513-529"},"PeriodicalIF":3.9,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147826820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Trade flows and carbon emissions: How far are we from the climate targets? 贸易流动和碳排放:我们离气候目标还有多远?
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-05-04 Epub Date: 2026-04-26 DOI: 10.1080/15568318.2026.2649318
Bardia Moghtader , Fusun Ulengin , Eda Helin Yıldız , Emel Aktas , Y. Ilker Topcu
{"title":"Trade flows and carbon emissions: How far are we from the climate targets?","authors":"Bardia Moghtader ,&nbsp;Fusun Ulengin ,&nbsp;Eda Helin Yıldız ,&nbsp;Emel Aktas ,&nbsp;Y. Ilker Topcu","doi":"10.1080/15568318.2026.2649318","DOIUrl":"10.1080/15568318.2026.2649318","url":null,"abstract":"<div><div>Policymakers are increasingly calling for tangible actions to meet the United Nations targets for reducing emissions to 1990s levels. This study assesses whether climate targets are attainable by 2030 for a selected set of countries, with a particular focus on the transportation sector. PyCaret’s Python library is used to train and compare a range of time series models and derive transport emission forecasts of countries up to 2030. We employ a range of machine learning models, including ARIMA, AdaBoost, and Theta forecaster, using historical transport emissions data to forecast CO2 emissions and assess the likelihood of countries achieving the EU Green Deal’s decarbonization objectives. To further support policy design, we analyze freight modal emissions using trade flow data and group countries using the K-Means clustering based on their emission profiles. Our findings show that only two countries—Greece and Italy—are currently on track to meet the 2030 targets. The remaining nations require urgent and targeted policy reform, particularly in shifting freight transport toward lower-emission modes. We conclude by offering realistic, data-driven mitigation strategies for those unlikely to meet their commitments.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 5","pages":"Pages 530-543"},"PeriodicalIF":3.9,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147826821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Scenario development for hydrogen-based heavy-duty logistics: Transformation pathways for Germany’s trucking sector 氢基重型物流的情景发展:德国卡车运输业的转型路径
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-05-04 Epub Date: 2025-12-07 DOI: 10.1080/15568318.2025.2597351
Lennart M. Steinbacher , Arian Zeqiri , Michael Teucke , Stephan Oelker , Eike Broda , Abderrahim Ait-Alla , Michael Freitag
{"title":"Scenario development for hydrogen-based heavy-duty logistics: Transformation pathways for Germany’s trucking sector","authors":"Lennart M. Steinbacher ,&nbsp;Arian Zeqiri ,&nbsp;Michael Teucke ,&nbsp;Stephan Oelker ,&nbsp;Eike Broda ,&nbsp;Abderrahim Ait-Alla ,&nbsp;Michael Freitag","doi":"10.1080/15568318.2025.2597351","DOIUrl":"10.1080/15568318.2025.2597351","url":null,"abstract":"<div><div>The transition of heavy-duty vehicle (HDV) logistics toward climate neutrality is a key challenge for sustainable transport and energy systems. Hydrogen is considered a promising option, but the development of refueling infrastructure and the interaction with technological, economic, and societal factors remain uncertain. This study applies a futures research framework combining scenario analysis, Cross-Impact Balance (CIB) methodology, and stakeholder engagement to explore potential transformation pathways for Germany’s HDV sector. Based on 26 descriptors and 108 consistent scenarios, two narratives are derived: one emphasizing hydrogen adoption and another focusing on electrification with selective hydrogen use. Rather than providing quantitative forecasts, the study translates qualitative descriptor logics into operational roadmaps by mapping them to infrastructure milestones and policy baselines (AFIR, NWS, NECP). The analysis shows that policy instruments such as CO2-based road tolls and subsidies are decisive for scaling hydrogen infrastructure, while cost reductions in fuel cells and electrolyzers must align with infrastructure expansion. Furthermore, tradeoffs emerge between domestic hydrogen production and imports, and societal acceptance proves critical for enabling deployment. By linking scenario-based insights with EU and national climate targets for 2030, 2040, and 2050, the study provides structured, policy-aligned guidance for designing resilient transformation pathways in HDV logistics.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 5","pages":"Pages 479-495"},"PeriodicalIF":3.9,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147826818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Modeling the decarbonization of transport: The relevance of disaggregating transport demand 交通运输脱碳建模:交通运输需求分解的相关性
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-05-04 Epub Date: 2025-12-09 DOI: 10.1080/15568318.2025.2601085
Manuel Perez-Bravo , Pedro Linares , Antonio F. Rodriguez-Matas , José Carlos Romero
{"title":"Modeling the decarbonization of transport: The relevance of disaggregating transport demand","authors":"Manuel Perez-Bravo ,&nbsp;Pedro Linares ,&nbsp;Antonio F. Rodriguez-Matas ,&nbsp;José Carlos Romero","doi":"10.1080/15568318.2025.2601085","DOIUrl":"10.1080/15568318.2025.2601085","url":null,"abstract":"<div><div>The transport sector accounts for almost a fourth of the emissions in Europe, which makes it one of the priority sectors to decarbonize. As such, it should be modeled appropriately in all national energy and climate planning exercises. Unfortunately, most of these deal with transport demand in an aggregated way, unable to capture the differences existing in urban or rural environments in terms of potential for modal shift or penetration of transition technologies, and also erring in the estimation of the cost of these changes. This in turn may result in the wrong strategies being pursued to decarbonize transport. To overcome these problems, this paper proposes a methodology in which urban and non-urban areas are separated into different categories to represent their different configurations. The methodology allows representing a more realistic modal shift among demands, indicating where and how different paths and policies could be applied, which also makes it possible to understand the impact of deploying Low Emission Zones (LEZ). When applied to the case of Spain, results show that the decarbonization strategies assuming disaggregated demands differ significantly from the aggregated demand version, in particular for large metropolitan or suburban areas. Overall costs are also overestimated by the aggregated demand model, showing significant differences among urban areas. The disaggregation of transport demand presented in the paper allows therefore for a significantly better planning and budgeting of decarbonization strategies at a national or regional level.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 5","pages":"Pages 496-512"},"PeriodicalIF":3.9,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147826819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Introducing on-schedule multi-stop and on-demand point-to-point waterborne transport services 引入准时、多站和按需的点对点水运服务
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-05-04 Epub Date: 2025-11-11 DOI: 10.1080/15568318.2025.2588596
R.C.P. Wong , Nazam Ali , W.Y. Szeto
{"title":"Introducing on-schedule multi-stop and on-demand point-to-point waterborne transport services","authors":"R.C.P. Wong ,&nbsp;Nazam Ali ,&nbsp;W.Y. Szeto","doi":"10.1080/15568318.2025.2588596","DOIUrl":"10.1080/15568318.2025.2588596","url":null,"abstract":"<div><div>Road-based transport causes severe greenhouse gas emissions, traffic congestion, and high energy consumption even after it is electrified. Besides, existing road networks cannot handle the substantially increasing travel demand in highly populated cities. Alternatively, waterborne transport offers a more sustainable and environmentally friendly option for traveling across harbors, rivers, and canals to access waterfront destinations. To supplement existing ferry services shuttling between two points and increase overall patronage of waterborne transport, this study proposes to introduce on-schedule multi-stop and on-demand point-to-point waterborne transport services, and examines passengers’ selections among these options. A stated preference questionnaire survey was carried out, interviewing 692 ferry passengers about their travel decisions in hypothetical scenarios. The results of the discrete choice models indicated that fare, wait time for services, travel time of road-based transport/waterborne transport, and the number of intermediate stops significantly influence travelers’ decisions. Relevant transport policies and recommendations for enhancing the performance of waterborne transport services and promoting greener mobility are proposed.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 5","pages":"Pages 445-457"},"PeriodicalIF":3.9,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147826816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Ontology-guided causal discovery and inference for reducing CO2 emissions in transportation 本体论引导下的交通运输二氧化碳减排因果发现与推理
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-05-04 Epub Date: 2025-11-19 DOI: 10.1080/15568318.2025.2588608
Tamas Fekete , Hendro Wicaksono
{"title":"Ontology-guided causal discovery and inference for reducing CO2 emissions in transportation","authors":"Tamas Fekete ,&nbsp;Hendro Wicaksono","doi":"10.1080/15568318.2025.2588608","DOIUrl":"10.1080/15568318.2025.2588608","url":null,"abstract":"<div><div>This study investigates how ontology-guided causal discovery can be applied to reduce CO<sub>2</sub> emissions in transportation. The analysis uses a cross-sectional dataset of 463,568 passenger vehicles inspected in Hungary between January and March 2023, which includes key technical attributes such as engine performance, cylinder capacity, and drive-by noise levels. Using causal discovery algorithms (PC, FCI, and GES) with and without ontology-based constraints, directed acyclic graphs are constructed to identify structural relationships among these variables and CO<sub>2</sub> emissions. For causal inference, effect sizes of engine performance and other technical characteristics on emissions are estimated while considering potential confounding factors. The findings show that ontology-informed models improve both the plausibility and interpretability of the discovered causal structures, though limitations remain regarding unobserved variables and nonlinear relationships; accordingly, this validation-focused case study provides a foundation for extensions to behavior-driven contexts (e.g. usage patterns, compliance, market responses) where causal structure and effect magnitudes are more uncertain in advance. The results indicate that cylinder capacity and specific power (engine performance at fixed displacement) are among the strongest contributors to CO<sub>2</sub> emissions, with ontology constraints reducing spurious links and increasing robustness across algorithms. Policy implications include the need for regulatory measures that integrate domain knowledge into emissions assessments, as well as the importance of updating technical standards and testing frameworks to reflect causal interactions rather than simple correlations. These insights can support more reliable interventions to lower vehicle-related emissions and contribute to sustainable transportation strategies.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 5","pages":"Pages 458-478"},"PeriodicalIF":3.9,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147826817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Factors influencing car ownership in Toronto: Insights from a hurdle-ordered model 影响多伦多汽车拥有量的因素:来自障碍排序模型的见解
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-04-03 Epub Date: 2025-11-06 DOI: 10.1080/15568318.2025.2586219
Mwendwa Kiko , Eric Miller
{"title":"Factors influencing car ownership in Toronto: Insights from a hurdle-ordered model","authors":"Mwendwa Kiko ,&nbsp;Eric Miller","doi":"10.1080/15568318.2025.2586219","DOIUrl":"10.1080/15568318.2025.2586219","url":null,"abstract":"<div><div>This study examines the effects of household socio-demographics, dwelling characteristics and the built environment on household auto ownership using data from a survey of 2007 households in the Greater Toronto Area (GTA). A two-stage hurdle model was constructed, consisting of a binary probit model of vehicle ownership (0 or 1+ cars) and an ordered probit model of fleet size (1, 2, or 3+ cars). Variables representing the five dimensions of density, diversity, destination accessibility, distance to transit, and design were included in the model. It was found that household socio-demographics and dwelling characteristics are the principal drivers of auto ownership, as shown by a greater number of variables significant at the 1% level and larger partial effects for these variables. Among the built environment variables, density, and destination accessibility were the most significant. Overall, the factors influencing ownership and fleet size were found to be the same, though there were some notable exceptions to this. These results show that policymakers seeking to reduce car dependency should focus on policies directly targeting the households, rather than those which target them indirectly through changes to the built environment around their residential location.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 4","pages":"Pages 429-444"},"PeriodicalIF":3.9,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Mobility patterns of shared and own e-bikes and e-scooters in Iberian cities 伊比利亚城市共享和自有电动自行车和电动滑板车的出行模式
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-04-03 Epub Date: 2025-10-14 DOI: 10.1080/15568318.2025.2573743
Emanuel-Cristian Adorean , Jordi Nofre , Laura García-Juan , Filipe Moura
{"title":"Mobility patterns of shared and own e-bikes and e-scooters in Iberian cities","authors":"Emanuel-Cristian Adorean ,&nbsp;Jordi Nofre ,&nbsp;Laura García-Juan ,&nbsp;Filipe Moura","doi":"10.1080/15568318.2025.2573743","DOIUrl":"10.1080/15568318.2025.2573743","url":null,"abstract":"<div><div>In this study, we examine the socio-demographic, behavioral, and spatial patterns of e-bike and e-scooter use in Lisbon (Portugal) and Madrid (Spain), focusing on both shared and privately owned modes. Based on a survey of 873 users (475 from Lisbon and 398 from Madrid), we apply chi-square and Kruskal-Wallis tests to analyze user profiles, travel frequency, duration, motivations and substituted transport modes. Spatial dynamics are further explored through Kernel Density Estimation, Hotspot Analysis, and Geographically Weighted Regression models. Our results reveal that private micromobility use is associated with older, higher-income, and predominantly male users making longer and more frequent trips - often replacing car travel - while shared modes are used more sporadically and primarily replace public transport or walking. Spatially, shared trips cluster around city centers and transport hubs, whereas private trips extend into peripheral areas. Cycle infrastructure, population density, and terrain emerged as key drivers of spatial patterns. These findings highlight the importance of differentiating between shared and private micromobility in transport policy and planning, particularly regarding infrastructure equity and modal integration.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 4","pages":"Pages 335-361"},"PeriodicalIF":3.9,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Electric automobile route scheduling with time setting using machine learning methods 基于机器学习方法的电动汽车路线调度
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-04-03 Epub Date: 2025-11-21 DOI: 10.1080/15568318.2025.2586217
Vijay Raviprabhakaran , Jesica Sarakonda , Vinay Udugula , Nishitha Varma Datla
{"title":"Electric automobile route scheduling with time setting using machine learning methods","authors":"Vijay Raviprabhakaran ,&nbsp;Jesica Sarakonda ,&nbsp;Vinay Udugula ,&nbsp;Nishitha Varma Datla","doi":"10.1080/15568318.2025.2586217","DOIUrl":"10.1080/15568318.2025.2586217","url":null,"abstract":"<div><div>Electric automobiles transform urban mobility by offering a clean and eco-friendly alternative to traditional internal combustion vehicles. Planning and optimizing electric automobile (EA) travel routes involve considering energy consumption, battery range, and the availability of charging stations. By optimizing routes that account for delivery deadlines and charging outlet availability, the Electric Automobile Path Planning with Time Frame (EAPPTF) aims to reduce travel time and energy consumption. While decision tree models forecast and optimize energy consumption and charging stops, route planning uses Dijkstra’s algorithm to identify the shortest path. Using real-time data from Indian cities, this article enhances electric automobile routing by providing insights into traffic flow and charging station availability, thereby enabling efficient travel and energy management. Data from Bengaluru and Hyderabad demonstrate that the proposed methods effectively address the routing challenges for electric automobiles, resulting in shorter trips and lower energy consumption, thereby promoting sustainable urban mobility. By improving autonomous driving technologies and charging infrastructure, these algorithms can also boost urban mobility and sustainability. This strategy supports optimal vehicle operation while addressing pressing issues in emerging nations.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 4","pages":"Pages 413-428"},"PeriodicalIF":3.9,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 novel Multi-Input Multi-Output energy model for future port operations 面向未来港口运营的新型多输入多输出能源模型
IF 3.9 3区 工程技术
International Journal of Sustainable Transportation Pub Date : 2026-04-03 Epub Date: 2025-11-08 DOI: 10.1080/15568318.2025.2585326
Mehmet Cagin Kirca , Srinivas Calindi , Phil Whiffin , Megan Turner , Dave Parkes , Andrew McGordon
{"title":"A novel Multi-Input Multi-Output energy model for future port operations","authors":"Mehmet Cagin Kirca ,&nbsp;Srinivas Calindi ,&nbsp;Phil Whiffin ,&nbsp;Megan Turner ,&nbsp;Dave Parkes ,&nbsp;Andrew McGordon","doi":"10.1080/15568318.2025.2585326","DOIUrl":"10.1080/15568318.2025.2585326","url":null,"abstract":"<div><div>This paper addresses the development challenge of an optimal electrical energy infrastructure for the sustainable electrification of marine vessels. An innovative Multi-Input Multi-Output energy model is introduced to accurately represent the dynamic temporal interactions between port electrical infrastructure, any renewable energy sources and the electrical recharging demands of multiple hybrid and electric ferries. This increases the total carbon emissions saving potential through greater collaborative optimization between transport electrification and grid constraints. A sizing methodology is then embedded to support the optimal design of a reversible Battery Energy Storage System (BESS) for continuous operation in multiple scenarios which is considered the heart of the future port energy infrastructure due to increased limitations electricity grid incomer. A comprehensive simulation study using real-world data of Port of Dover has been conducted to evaluate the increase in port electricity requirements, and potential BESS solutions. The findings confirm that the proposed method could help to reduce the grid incomer capacity requirement from 8 MW to 3.41 MW. The proposed method effectively increases the unit of CO<sub>2</sub> saved per MW electrical grid incomer capacity from 31.1 mtCO<sub>2</sub>/MW to 75.1 mtCO<sub>2</sub>/MW.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"20 4","pages":"Pages 396-412"},"PeriodicalIF":3.9,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147588007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
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