Transportation Research Part E-Logistics and Transportation Review最新文献_第2页

Platform-empowered collaboration delivery model for express companies and rural passenger transport operators in rural areas 面向农村地区快递公司和农村客运经营者的平台化协同配送模式

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-21 DOI: 10.1016/j.tre.2025.104311

Weizhen Rao, Xiaohe Miao, Peng Liu, Lu Liu

{"title":"Platform-empowered collaboration delivery model for express companies and rural passenger transport operators in rural areas","authors":"Weizhen Rao, Xiaohe Miao, Peng Liu, Lu Liu","doi":"10.1016/j.tre.2025.104311","DOIUrl":"10.1016/j.tre.2025.104311","url":null,"abstract":"<div><div>The rapid surge in e-commerce parcel volume has intensified demands for cost-effective and high-quality express delivery services in rural areas. This study proposes a platform-enabled collaborative delivery model that integrates express companies and rural passenger transport operators to improve last-mile logistics. Our goal is to facilitate efficient collaboration among stakeholders through platform-supported route planning and cost-sharing, with cost savings quickly estimated for decision-making. To assess the benefits of shared transport resources, we adopt a Shapley value-based cooperative game approach to determine cost allocation. This requires solving mixed-integer programming models for all possible alliance structures to compute characteristic functions. A mixed-integer linear programming model is formulated to address the multi-owner collaborative delivery vehicle routing problem with combined passenger and freight transport (MOCDVRP-CPFT), which quantifies delivery costs for each alliance configuration. A tailored solution framework is developed, incorporating batch processing, customer clustering, and an adaptive large neighbourhood search (ALNS) algorithm to generate high-quality solutions across all alliances. Six representative case studies in eastern, central, and western China using real-world data confirm the effectiveness of the proposed model, with the most significant savings observed in the western region. Based on the results, we offer region-specific policy suggestions to facilitate the implementation of CPFT in varying rural contexts. This study highlights the potential of digitally enabled, short-term collaborative alliances as a practical approach to improving rural logistics coordination and delivery efficiency.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104311"},"PeriodicalIF":8.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670427","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

Simultaneous estimation of induced, diverted, and ex-post demand for railway passengers: an interpretable machine learning framework based on constrained computational graphs 铁路乘客诱导、分流和事后需求的同时估计：基于约束计算图的可解释机器学习框架

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-21 DOI: 10.1016/j.tre.2025.104283

Xin Wu , Xinyu Wang , Taehooie Kim , Khaled Saleh , Huiling Fu , Chenfeng Xiong

{"title":"Simultaneous estimation of induced, diverted, and ex-post demand for railway passengers: an interpretable machine learning framework based on constrained computational graphs","authors":"Xin Wu , Xinyu Wang , Taehooie Kim , Khaled Saleh , Huiling Fu , Chenfeng Xiong","doi":"10.1016/j.tre.2025.104283","DOIUrl":"10.1016/j.tre.2025.104283","url":null,"abstract":"<div><div>Passenger flow on train lines is driven by how travelers respond to service offerings and constraints within the railway system, shaped primarily by three factors: <strong>Diverted demand</strong> refers to a shift in travelers’ choices toward different train lines, quantified by analyzing changes in the probability of selecting a particular train line within a given line plan. <strong>Induced demand</strong> arises when improvements in service quality led to an increase in passenger demand within a railway system. <strong>Ex-post demand</strong> occurs when seat capacity constraints force travelers to make choices that deviate from their initial preferences. This paper aims to develop a systematic and theoretically consistent methodology to estimate the three types of demand that drive overall demand variation. To integrate these estimation modules, a computational graph-based learning architecture is proposed to solve the railway passenger demand estimation (RPDE) problem. The RPDE problem simultaneously estimates passenger boarding and alighting at stations, OD trips between stations, and passenger flows loaded onto train lines. The behavioral parameters associated with travel time, ticket price, and line frequency are also calibrated. A novel four-stage adapted alternating direction method of multipliers (ADMM), enhanced by backpropagation, is proposed to solve the RPDE problem to ensure consistency between modules and enable efficient solutions. We demonstrate the effectiveness of the method through scenario analyses, quantifying the composition of the demand, and revealing their implications for policymaking. A real-world case study in the Beijing-Shanghai high-speed rail corridor is used to demonstrate the applicability of the proposed approach.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104283"},"PeriodicalIF":8.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670409","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

Enhanced supply chain resilience under geopolitical risks: The role of artificial intelligence 地缘政治风险下供应链弹性增强：人工智能的作用

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-21 DOI: 10.1016/j.tre.2025.104300

Feng Dong , Xu Zhao , Sachin Kumar Mangla , Malin Song

{"title":"Enhanced supply chain resilience under geopolitical risks: The role of artificial intelligence","authors":"Feng Dong , Xu Zhao , Sachin Kumar Mangla , Malin Song","doi":"10.1016/j.tre.2025.104300","DOIUrl":"10.1016/j.tre.2025.104300","url":null,"abstract":"<div><div>This paper examines the impact of artificial intelligence (AI) on supply chain resilience (SCR) under geopolitical risks (GPR) through a tractable research framework and empirical analysis. We first develop a general equilibrium model with stochastic supply chain shocks to specify the underlying economic mechanism. The results show that the existence of geopolitical factors will increase the risk cost of firms maintaining supply chain relations, thus weakening SCR. However, the significant cost reductions, efficiency gains, and improvement of contractual completeness resulting from AI greatly empower firms to increase profits, thereby mitigating the disruption of uncertain risks to the supply chain, which leads to enhanced SCR. AI could mitigate the negative effects of GPR to a certain extent, but this depends on the relative magnitude of the positive and negative incentive effects of AI. We then perform two-way fixed effects estimations using data on Chinese listed firms. The empirical results validate our main theoretical analysis and confirm the role of firm profit as a bridge between AI and SCR, along with its attendant premise. Our further exploration confirms the moderating effect of AI in high-tech and high-competition industries, which may be attributed to the predominance of positive incentive effects of AI. Finally, our analysis results call for firms to strike a balance between the breadth and depth of AI applications, thus comprehensively strengthening the ability of the supply chain to cope with uncertainty.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104300"},"PeriodicalIF":8.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678859","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

Expansion of bi-modal express transit networks − a hybrid optimization approach 双式联运快速交通网络的扩展——一种混合优化方法

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-19 DOI: 10.1016/j.tre.2025.104317

Reza Mahmoudi, Saeid Saidi, S.C. Wirasinghe

{"title":"Expansion of bi-modal express transit networks − a hybrid optimization approach","authors":"Reza Mahmoudi, Saeid Saidi, S.C. Wirasinghe","doi":"10.1016/j.tre.2025.104317","DOIUrl":"10.1016/j.tre.2025.104317","url":null,"abstract":"<div><div>Existing research has predominantly concentrated on designing a new transit network without considering the pre-existing network. However, the majority of problems involve redesigning or extending an already existing network. Considering the pre-existing multi-modal transit network in a city, we have integrated analytical methodologies and mathematical programming to formulate a two-stage approach for addressing the bi-modal express transit network design problem (ETNDP) within the context of a surface express transit system. In the first stage, we use analytical approaches and continuum approximations to identify the optimal locations of new stations. In the second stage, mathematical programming is proposed to simultaneously determine the optimal layout of express transit routes, the technology of each transit route, and the service headway associated with all transit routes (i.e., existing and new routes). Then, a metaheuristic algorithm based on a Genetic Algorithm is introduced to solve the proposed mathematical programming for real-size transit networks. The proposed approach has then been applied to the express transit network of Calgary, Canada, a large-sized bi-modal express network. The bi-modal ETNDP has been solved for Calgary under various scenarios, and the results have been discussed. Analyses show that, in the proposed hybrid approach, solving a part of the problem analytically reduces its complexity significantly and enables parametric analysis, while using mathematical programming helps to address the complexity of ETNDP for real transit networks. The proposed approach stands out from existing similar studies due to its departure from simplifying assumptions concerning network topology, the city’s structure, capturing any type of demand patterns, model flexibility to for existing transit network extension, and multi-modality of the express transit network.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104317"},"PeriodicalIF":8.3,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663416","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

Optimizing land-air collaborative operations with environmental considerations 考虑环境因素，优化陆空协同作战

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-19 DOI: 10.1016/j.tre.2025.104301

Honggang Zhang , Yuyan Wang , Mengyu Jiang , Zefan Huang , King-Wah Pang , Zhiyuan Liu

{"title":"Optimizing land-air collaborative operations with environmental considerations","authors":"Honggang Zhang , Yuyan Wang , Mengyu Jiang , Zefan Huang , King-Wah Pang , Zhiyuan Liu","doi":"10.1016/j.tre.2025.104301","DOIUrl":"10.1016/j.tre.2025.104301","url":null,"abstract":"<div><div>Urban air mobility (UAM) is an emerging transportation concept with the potential to transform urban commuting. By utilizing low-altitude airspace, novel aerial vehicles can provide faster transportation between vertiports in urban and suburban areas, offering a more efficient alternative than traditional surface transport. To successfully integrate UAM into urban environments, it is crucial to effectively connect it with existing road transportation systems, particularly in terms of constructing essential ground infrastructure, such as vertiports. This paper proposes a land-air collaborative network design model that incorporates environmental considerations. Specifically, we develop a bi-objective bi-level programming model to optimize the land-air integrated operations. The upper-level authority aims to minimize both the total travel time of the system and airborne pollutant emissions during UAM operations by selecting the locations and capacities of vertiports. The lower-level model determines the route choices of the multi-class commuters based on the user equilibrium condition. To solve this model, we propose a mixed-integer Bayesian optimization approach, incorporating a path-based solution algorithm using the partial linearization descent method to address the lower-level model. Numerical experiments demonstrate that incorporating environmental considerations significantly influences the design of the land-air collaborative network. In particular, environmental factors play a critical role in shaping commuters’ route choice, which in turn substantially affects key system metrics such as vertiport capacity, total travel time, and air pollutant emissions. This study offers valuable insights into optimizing land-air collaborative operations, maximizing the operational benefits of UAM while minimizing its environmental impact.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104301"},"PeriodicalIF":8.3,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663418","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

Dynamic preference-based multi-modal trip planning of public transport and shared mobility 基于动态偏好的公共交通与共享出行的多模式出行规划

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-19 DOI: 10.1016/j.tre.2025.104286

Yimeng Zhang , Oded Cats , Shadi Sharif Azadeh

{"title":"Dynamic preference-based multi-modal trip planning of public transport and shared mobility","authors":"Yimeng Zhang , Oded Cats , Shadi Sharif Azadeh","doi":"10.1016/j.tre.2025.104286","DOIUrl":"10.1016/j.tre.2025.104286","url":null,"abstract":"<div><div>The shift from private vehicles to public and shared transport is crucial to reducing emissions and meeting climate targets. Consequently, there is an urgent need to develop a multi-modal transport trip planning approach that integrates public transport and shared mobility solutions, offering viable alternatives to private vehicle use. To this end, we propose a preference-based optimization framework for multi-modal trip planning with public transport, ride-pooling services, and shared micro-mobility fleets. We introduce a mixed-integer programming model that incorporates preferences into the objective function of the mathematical model. We present a meta-heuristic framework that incorporates a customized Adaptive Large Neighborhood Search algorithm and other tailored algorithms, to effectively manage dynamic requests through a rolling horizon approach. Numerical experiments are conducted using real transport network data in a suburban area of Rotterdam The Netherlands Model application results demonstrate that the proposed algorithm can efficiently obtain near-optimal solutions. Managerial insights are gained from comprehensive experiments that consider various passenger segments, costs of micro-mobility vehicles, and availability fluctuation of shared mobility.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104286"},"PeriodicalIF":8.3,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663417","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

Optimization model for large-scale long-term aircraft maintenance scheduling and station assignment 大型飞机长期维修调度与工位分配优化模型

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-18 DOI: 10.1016/j.tre.2025.104302

JohnPaul Adimonyemma, Yanshuo Sun

{"title":"Optimization model for large-scale long-term aircraft maintenance scheduling and station assignment","authors":"JohnPaul Adimonyemma, Yanshuo Sun","doi":"10.1016/j.tre.2025.104302","DOIUrl":"10.1016/j.tre.2025.104302","url":null,"abstract":"<div><div>The primary focus of the existing aircraft maintenance optimization literature is on short-term aircraft maintenance routing. By contrast, only a few studies address long-term maintenance planning, which predominantly emphasize scheduling decisions: none of them have examined the critical aspect of assigning aircraft to maintenance stations, a key challenge for major airlines with a network of maintenance facilities. Additional research gaps include (1) insufficient consideration of practical maintenance-related constraints (e.g., station access limit and aircraft rotation requirement) and (2) the absence of scalable algorithms capable of solving real-world problem instances involving hundreds of aircraft and dozens of maintenance stations. To fill those gaps, this study introduces a joint optimization model for aircraft maintenance scheduling and station assignment to assist a U.S.-based airline in creating long-term plans for a fleet of over 800 aircraft of multiple subfleet types. To address the computational challenges, we propose two decomposition approaches: one based on decision types and the other on time horizons. Extensive computational experiments using real-world data from the collaborating airline demonstrate that these approaches can reduce computation time by up to 80% with a minimal increase in the optimization objective (less than 2%). The proposed model is expected to streamline maintenance planning efforts and enhance outcomes for aircraft maintenance professionals.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104302"},"PeriodicalIF":8.3,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653902","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

System dynamics in railway project appraisal: Assessing student productivity and wider economic benefits in the knowledge economy 铁路项目评估中的系统动力学：在知识经济中评估学生生产力和更广泛的经济效益

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-17 DOI: 10.1016/j.tre.2025.104325

Zhuowei Wang , Ho-Yin Chan , Yingying Xu , Anthony Chen

{"title":"System dynamics in railway project appraisal: Assessing student productivity and wider economic benefits in the knowledge economy","authors":"Zhuowei Wang , Ho-Yin Chan , Yingying Xu , Anthony Chen","doi":"10.1016/j.tre.2025.104325","DOIUrl":"10.1016/j.tre.2025.104325","url":null,"abstract":"<div><div>Rail projects require substantial long-term investments, making comprehensive project appraisal essential. Traditional cost-benefit analysis (CBA) emphasizes direct benefits but often overlooks wider economic benefits (WEB) like productivity gains and human capital development within the knowledge economy. Even when WEB considered, most studies rarely capture the feedback loops between different benefits over time, limiting comprehensive evaluation. To address these gaps, this paper develops a system dynamics (SD)-based WEB evaluation framework, applying it to the Shatin to Central Link project in Hong Kong, which connects a major university to the local transit network. The model uses student salary as a proxy of productivity, reflecting indirect economic benefits tied to human capital enhancement. Based on survey data, the results show increased student productivity contributes a cumulative impact equivalent to 1.60% of total WEB value over 50 years. The analysis reveals significant long-term gains, with profitability increasing from HK$35.79 billion to HK$42.20 billion and the investment payback period shortening by 0.42 years to 13.86 years when feedback loops are considered versus traditional CBA. These findings highlight the cumulative effects from the interactions among benefits and the reinforcing relationship between infrastructure and productivity in driving economic growth. While this case focuses on one university, the framework can be extended to assess wider regional impacts. The model’s generalizability is discussed through feature customization, integrated impacts, and multi-stakeholder perspectives. This research demonstrates that the SD approach enhances WEB analysis, overcoming limitations of CBA and offering actionable insights for investment decisions that promote sustainable, knowledge-based urban development.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104325"},"PeriodicalIF":8.3,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653901","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 framework for collaborative UAM traffic flow optimization with mission preferences: Incorporating customized strategy synergy into strategic conflict management 具有任务偏好的协同UAM交通流优化框架：将定制战略协同纳入战略冲突管理

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-16 DOI: 10.1016/j.tre.2025.104326

Sen Du , Gang Zhong , Fei Wang , Lingxiao Wu , Honghai Zhang , Dabin Xue

{"title":"A framework for collaborative UAM traffic flow optimization with mission preferences: Incorporating customized strategy synergy into strategic conflict management","authors":"Sen Du , Gang Zhong , Fei Wang , Lingxiao Wu , Honghai Zhang , Dabin Xue","doi":"10.1016/j.tre.2025.104326","DOIUrl":"10.1016/j.tre.2025.104326","url":null,"abstract":"<div><div>Urban Air Mobility (UAM) is emerging as a transformative solution to urban transportation, yet the safe and efficient implementation requires advanced UAM traffic management approaches. Although existing studies prioritize the generation of conflict-free 4-D trajectories, critical mission-specific preferences remain insufficiently integrated, influencing stakeholders’ acceptance and operational feasibility. This paper addresses this gap by proposing a collaborative UAM Traffic Flow Management (UTFM) framework that models explicit interaction constraints, combining mission preferences with strategy synergy. The framework centers on the UTFM model featuring a hierarchical conflict management architecture. In the strategic phase, the deterministic separation threshold is applied to resolve 4-D conflicts proactively, while the pre-tactical phase employs probabilistic constraints to manage flight uncertainties during disruption recovery. To solve the UTFM problem, a novel two-stage optimization algorithm is developed. The first stage encodes the conflict-based solution space via recurrent path searching and linear mapping techniques, while the second stage optimizes the 4-D flight plans by determining strategy-specific decision variables. Additionally, the Transit Search Optimization (TSO) algorithm is introduced and enhanced through constraint transcription and normal cloud model. Comprehensive experiments demonstrate that the framework can generate robust and efficient flight plans under complex constraints with diverse mission preferences. The framework could support high-throughput UAM operations with customized requirements, offering a prototype for the advanced UAM traffic management system.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104326"},"PeriodicalIF":8.3,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632512","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

Unlocking renewable fuels for green shipping corridors: A comprehensive analysis framework 为绿色航运走廊释放可再生燃料：一个综合分析框架

IF 8.3 1区工程技术

Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-07-16 DOI: 10.1016/j.tre.2025.104280

Jing Wang , Dong Yang , Shuai Jia

{"title":"Unlocking renewable fuels for green shipping corridors: A comprehensive analysis framework","authors":"Jing Wang , Dong Yang , Shuai Jia","doi":"10.1016/j.tre.2025.104280","DOIUrl":"10.1016/j.tre.2025.104280","url":null,"abstract":"<div><div>To meet the International Maritime Organization’s (IMO) decarbonization goals, green shipping corridor (GSC) emerges as a key strategy for transitioning from fossil fuels to renewable alternatives. However, studies on the comprehensive assessment to identify the most viable renewable marine fuels for GSCs remain limited. This study addresses the gap by evaluating the operational, environmental, and economic impacts of eight resolutions, including four renewable fuels — compressed/liquefied hydrogen, ammonia, and methanol — powered by dual-fuel engines and fuel cells. Integrating a tailored real-world database including vessel and fuel datasets, this study assesses operational impacts by the proposed resolutions, emphasizing shifts in cargo capacity and refueling requirements, through a data-driven fuel consumption approach. Following IMO guidelines, a robust dual-level lifecycle assessment (LCA) framework quantifies greenhouse gas emissions (GHG) through well-to-tank analysis for fuels with cradle-to-grave analysis for facilities. Building on this framework, a holistic three-dimensional cost evaluation system is conducted: lifecycle cost (LCC) for fuel producers, total cost of ownership (TCO) for shipowners, and marginal abatement cost (MAC) for policymakers. A case study of the Rotterdam–Singapore GSC demonstrates that GHGs can be reduced from 72% to zero, with a cargo capacity loss up to 17%, and an increase in total ownership costs by a multiple between 1.8 and 2.9 times. The analysis highlights methanol as the standout renewable fuel for the long-distance ocean-going voyages towards IMO decarbonization goal. This research offers a versatile framework evaluating renewable fuels in global shipping and propelling the practical implementation with valuable decarbonization insights.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"202 ","pages":"Article 104280"},"PeriodicalIF":8.3,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632510","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