Transportation Research Part E-Logistics and Transportation Review最新文献

{"title":"Does antitrust immunity matter for complementary shipping alliances? Competition and welfare analysis","authors":"Bo Lu ,&nbsp;Lijie Fan ,&nbsp;Sandun C. Perera ,&nbsp;Jian-Jun Wang","doi":"10.1016/j.tre.2025.104125","DOIUrl":"10.1016/j.tre.2025.104125","url":null,"abstract":"<div><div>Shipping alliances are granted antitrust immunity (ATI) as a cooperative strategy for market development. However, the European Commission has ruled that these alliances no longer benefit from ATI treatment within the European Union (EU), raising concerns among governments about the implications for alliances and their associated ATI privileges. We analyze the alliance strategies of shipping companies, shippers’ consumer surplus, and governments’ social welfare in local and intermodal markets, focusing on service differentiation and economies of scale. We examine equilibrium decisions within three typical structures—no alliance, single alliance, and double alliance. Results show that shipping alliances significantly influence strategic decisions by lowering freight rates through the internalization of negative externalities from independent pricing. For both alliances and independents, moderate-scale economies and service differentiation reduce freight rates while increasing demand. Shipping companies form alliances to enhance competitiveness when these factors are significant, producing higher consumer surplus and social welfare. However, in markets with low service differentiation and scale economies, new alliances can undermine the benefits of both pre-existing alliances and independents. In such cases, social welfare is higher without alliances, and canceling alliance agreements may be a better market decision.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104125"},"PeriodicalIF":8.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and simulation of crowd dynamics at evacuation bottlenecks during flood disasters","authors":"Dongdong Shi ,&nbsp;Jialin Li ,&nbsp;Qiao Wang ,&nbsp;Juan Chen ,&nbsp;Ruggiero Lovreglio ,&nbsp;Jacqueline T.Y. Lo ,&nbsp;Jian Ma","doi":"10.1016/j.tre.2025.104064","DOIUrl":"10.1016/j.tre.2025.104064","url":null,"abstract":"<div><div>Investigating and simulating the impact of floods on crowd dynamics at evacuation bottlenecks is essential, given the increment of the intensity of these disasters due to climate change. Previous studies have primarily focused on flood risk assessment for crowd evacuation during flooding. The complex interactions between pedestrians and water flow near evacuation bottlenecks have been rarely investigated. In this work, we developed a pedestrian-water flow coupling evacuation model by incorporating the social force model with a hydraulic model. The optimal parameter combination for the coupled evacuation model was identified through a sensitivity analysis. The final parameter tuning was conducted through a model calibration based on controlled evacuation experiments under various inflow depths. The proposed model is employed to examine how exit width, exit position, and inflow volume affect the evacuation efficiency of crowds in a flooded environment. The findings indicate that the distribution of exit positions has a prominent impact on evacuation efficiency in an exit width of 1.0 m for different inflow depths, while this impact manifests uncertainty for other exit widths. The coupling evacuation model proposed in this work will offer valuable insights for formulating scientific evacuation plans or emergency response strategies in flood-prone areas.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104064"},"PeriodicalIF":8.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do ESG practices promote collaboration on green investment for supply chain enterprises in China?","authors":"Xianyou Pan ,&nbsp;Ying Wei ,&nbsp;Sachin Kumar Mangla ,&nbsp;Malin Song","doi":"10.1016/j.tre.2025.104118","DOIUrl":"10.1016/j.tre.2025.104118","url":null,"abstract":"<div><div>The rapid rise and wide penetration of environmental, social and governance (ESG) practices have promoted the green transformation of supply chains (SC) and provided opportunities for building sustainable SC. Corporate environmental governance is a vital ESG component that requires leveraging the synergy between enterprises in SC. This study constructs a panel dataset of listed corporates and their suppliers and retailers from 2008 to 2022, and explores the peer effect of SC on corporate green investment (CGI) behavior. The findings show that CGI decisions of suppliers and retailers in SC affects that of core enterprises. Thus, CGI behavior has a peer effect in SC. We prove the validity of the conclusion through some robustness tests. Further examination of the influencing factors shows that environmental information transmission and institutional pressure positively promote the CGI peer effect from environmental and social aspects respectively. This research supplements the literature on the study of sustainable SC, broadens the research boundaries of enterprise sustainable development and ESG performance, and has important implications for promoting SC sustainability.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104118"},"PeriodicalIF":8.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing on-demand ride-hailing services in two-sided coupled markets with impatient riders","authors":"Hui Wang ,&nbsp;Yuanyuan Li ,&nbsp;Yang Liu ,&nbsp;Xiaowei Hu ,&nbsp;Jian Wang","doi":"10.1016/j.tre.2025.104106","DOIUrl":"10.1016/j.tre.2025.104106","url":null,"abstract":"<div><div>This paper examines the optimal design of dynamic pricing strategies for a coupled ride-hailing market with the coexistence of ridesharing and non-ridesharing services. Riders may switch between ridesharing and non-ridesharing alternatives to maximize individual utility, which results in demand diversion. Due to the imbalance between demand and supply, riders may become impatient towards long waiting times, leading to reneging in the coupled ride-hailing systems. We first establish dynamic meeting models for ridesharing and non-ridesharing separately to characterize temporal matching patterns. Meantime, the demand diversion generated by rider switching and reneging rate resulting from rider impatience towards waiting times are integrated into the dynamic meeting models. We derive the conditions on trip fares and commission rates to ensure the existence of the coupled ride-hailing market. We then analyze the effects of the dynamic pricing strategy on the market characteristics, including waiting times and market demand. Moreover, we formulate a Markov Decision Process (MDP) model to optimize dynamic pricing strategies and the corresponding aggregated matching between demand and supply. Finally, we develop the Proximal Policy Optimization (PPO) algorithm to solve the proposed MDP model and an iteration method that uses a Lookahead algorithm to estimate the market state. Our numerical experiments reveal that higher trip fares and commission rates should be adopted under the optimal dynamic pricing strategy compared to the fixed pricing strategy. We also demonstrate the effectiveness of dynamic pricing strategy in improving system performance and matching rate. If riders are more patient with waiting times, the platform operator can improve the trip fares for ridesharing riders to better manage demand, which helps to enhance the matching rate. Meantime, both the reneging rate and the level of demand diversion can be decreased.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104106"},"PeriodicalIF":8.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing transactive memory to the supply chain based on buyer-supplier digital communities","authors":"Ania Izabela Rynarzewska ,&nbsp;Larry C. Giunipero ,&nbsp;Diane Denslow","doi":"10.1016/j.tre.2025.104099","DOIUrl":"10.1016/j.tre.2025.104099","url":null,"abstract":"<div><div>Knowledge and expertise are critical to the proper functioning of supply chains. However, scholars have only stated the need for knowledge and information sharing and overlooked how it conceptually develops in organizations. This research provides an in-depth look at the source of knowledge through the lens of four decades of Transactive Memory Systems (TMS) research. Through netnographic research, we first identified communities where TMS occurred naturally. We found that they were developed to provide members access to a greater pool of knowledge that improved product innovation and supplier choice and affected their buying behavior. We also found that it enabled members to become more resilient during the global supply chain crisis. Finally, we identified distinct, though often overlapping, member roles to encourage TMS development. Previous research on TMS has mainly focused on relationships between dyads and within small organizations. This paper extends the TMS literature into the supply chain by applying it through a structure-strategy-performance model. We conclude by reasoning that understanding the theory behind the source of knowledge will enable firms to develop and enhance more efficient supply networks. Finally, we also outline the extent to which these networks can be developed.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104099"},"PeriodicalIF":8.3,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the departure time choices of attendees for special events with cruising-for-parking","authors":"Yitian Bao,&nbsp;Yue Bao,&nbsp;Liujiang Kang","doi":"10.1016/j.tre.2025.104103","DOIUrl":"10.1016/j.tre.2025.104103","url":null,"abstract":"<div><div>Special events lead to a surge in parking demand and severe traffic congestion in areas around event venues. This study investigates the departure-time choices and parking searches of attendees for special events and the resulting traffic congestion. Given the limited parking spaces around venues, drivers expanded their search area over time. Therefore, a bathtub model with a variable cruising area is proposed to analyse traffic dynamics around event venues. It was found that increasing the density of parking spaces does not always reduce the total cruising time, and may even exacerbate traffic congestion near the event venue, suggesting the self-regulating nature of cruising for parking. Moreover, it is shown that although increasing the bottleneck capacity helps reduce the queuing time and duration of peak periods, it may worsen traffic conditions within the cruising area. An optimal bottleneck capacity was provided to minimise the total travel time for all attendees.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104103"},"PeriodicalIF":8.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimal operational and carbon neutrality strategies for private hospitals: A multi-objective approach considering patient flow","authors":"Haoran Li ,&nbsp;Yiwei Wu ,&nbsp;Baogui Xin ,&nbsp;Min Xu ,&nbsp;Shining Wu","doi":"10.1016/j.tre.2025.104107","DOIUrl":"10.1016/j.tre.2025.104107","url":null,"abstract":"<div><div>Hospitals are now the fifth-largest source of global greenhouse gas (GHG) emissions. Despite this significant impact, the critical goal of achieving carbon neutrality is often overlooked in optimization studies on healthcare operations management. To address this gap, this paper proposes a novel multi-objective decision-making framework for private hospitals that balances patient health, environmental impact, and economic performance. This study tackles the intricate challenge of multi-objective optimization that maximizes patient utility and hospital profit while simultaneously minimizing net carbon emissions. An exact algorithm based on the ε-constraint method is employed to optimize hospital operational decisions by discretizing patient utility and net carbon emission targets into linear constraints on the non-concave profit objective. This approach guarantees Pareto-optimal solutions, thus enabling hospital decision-makers to select their preferred options among the three criteria: patient utility, environmental sustainability, and hospital profitability, while exploring the resulting trade-offs. Additionally, this study discusses the impacts of hospital operational decision changes on these objectives, particularly under scenarios where patient flow increases waiting time due to limited hospital capacity. To validate the practical significance of the proposed multi-objective optimization model and evaluate the effectiveness of the proposed algorithm, two case studies and sensitivity analyses are conducted. The results demonstrate that this approach effectively supports hospital decision-makers in making informed decisions that balance patient utility, carbon neutrality, and hospital profitability objectives.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104107"},"PeriodicalIF":8.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-modal travel route planning considering environmental preference under uncertainties: A distributionally robust optimization approach","authors":"Xiangting Wang ,&nbsp;Ying Lv ,&nbsp;Huijun Sun ,&nbsp;Xingrong Wang ,&nbsp;Chuang Zhu","doi":"10.1016/j.tre.2025.104097","DOIUrl":"10.1016/j.tre.2025.104097","url":null,"abstract":"<div><div>MaaS (Mobility as a Service) is the main trend in future transportation development. From the user perspective, it is primarily manifested as a shift in travel behavior, transitioning from reliance on single modes, such as private cars, to a mixed mode of various transportation options. In order to facilitate providing door-to-door services for travelers, this paper proposes a user-centric route planning approach under a new multi-modal framework, which it considers five travel modes, including bus, metro, car-hailing, as well as bike-sharing and walking that effectively addresses the last mile problem. Given the diverse travel objectives among travelers, this paper integrates travel time, cost, comfort, and green travel awareness into the objective function. Moreover, a multi-modal network travel route optimization model is established to generate route planning that aligns with traveler’s preferences. To address the challenges of multiple time uncertainties and incomplete distribution information resulting from problems such as road congestion and uneven distribution of bike-sharing and car-hailing during a trip, this paper proposes a distributionally robust optimization model to describe the uncertainties in two dimensions of the objective function. A generalized interval-valued trapezoidal possibility distribution is used to describe the time for finding a bike-sharing or for waiting a car-hailing service. The robust objective function and constraints are equivalently formulated as a deterministic model. The distributionally robust optimization model for uncertain travel times of buses and car-hailing services is demonstrated to be semi-infinite but can be safely and equivalently approximated under the Gaussian perturbations ambiguity set. Through comparative analyses with the traditional robust optimization method using experimental cases, the proposed distributionally robust optimization model exhibits superior performance. In addition, sensitivity analyzes are conducted on the relevant factors that influence travelers’ reduction in carbon emissions after the implementation of carbon incentive measures. The results demonstrate the effectiveness of the incentives introduced, which provides valuable information for the government to improve various incentive measures aimed at promoting low-carbon travel among travelers.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104097"},"PeriodicalIF":8.3,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143785898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are electric vehicles greener than hybrid electric vehicles in carsharing? Insights from large-scale multi-objective simulation-optimization","authors":"Yan Li ,&nbsp;Lu Hu ,&nbsp;Haobin Li ,&nbsp;Ek Peng Chew ,&nbsp;Hao Li ,&nbsp;Juanxiu Zhu","doi":"10.1016/j.tre.2025.104098","DOIUrl":"10.1016/j.tre.2025.104098","url":null,"abstract":"<div><div>Hybrid electric vehicles (HEVs) are perceived as transitional products bridging the gap between fueled vehicles and electric vehicles (EVs) because people intuitively believe that EVs are more environmentally friendly than HEVs. But is this perception true in the context of carsharing services (CSSs)? This paper pioneers a general large-scale multi-objective simulation–optimization (MOSO) method to explore the values of deploying HEVs in CSSs. We firstly develop a physically logical simulation model, emulating operations of CSSs and capturing mesoscopic dynamics of shared vehicles in a link-based traffic network. This model adopts an event-driven discrete-event mechanism, enhancing efficiency while maintaining high fidelity. Subsequently, we design a simulation–optimization framework aimed at achieving Pareto optimality by jointly optimizing station capacity, fleet size, and trip pricing. The goal is twofold: to maximize operational profits and to minimize carbon emissions, thereby quantitatively analyzing the potential of shared HEVs (SHEVs). To tackle the high-dimensional MOSO problem, we introduce the multi-objective optimization into stochastic approximation field by proposing a general algorithm that incorporates the multiple gradient descent algorithm with the simultaneous perturbation stochastic approximation algorithm. Furthermore, we derive its analytical expression for bi-objective optimization problems. We theoretically prove and practically demonstrate its strong global convergence. The efficiency of this method was validated through large-scale computational experiments conducted in Chengdu, Sichuan Province, involving 66,710 decision variables. These experiments showcased the method’s superiority over existing MOSO algorithms. Several groups of sensitivity experiments focusing on vehicle types and traffic scenarios reveal some interesting findings. (1) Regardless of the increase in travel distances, SHEVs, which can be viewed as shared EVs (SEVs) without range anxiety (RA), continue to primarily rely on electricity rather than fuel for their operational mileages. This high utilization of electricity results in lower carbon emissions compared to SEVs. (2) Under any traffic condition, the dual-engine feature of SHEVs significantly reduces the number of failed pickups. (3) As travel demand increases, the state of charge for SEVs may rapidly fall below the threshold that triggers RA, whereas SHEVs maintain a more reliable power supply.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104098"},"PeriodicalIF":8.3,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Navigating the subsidy path to decarbonization under uncertainties","authors":"Jing Xia ,&nbsp;Yuxin Li ,&nbsp;Wenju Niu ,&nbsp;Weili Xue ,&nbsp;Lianmin Zhang","doi":"10.1016/j.tre.2025.104101","DOIUrl":"10.1016/j.tre.2025.104101","url":null,"abstract":"<div><div>The ongoing debate about the carbon subsidy regime focuses primarily on identifying the appropriate intended recipients and clarifying its role in sustainable operations. This paper assesses the effectiveness of the carbon subsidy regime by examining its impact on decarbonization incentives, profitability, sustainability, and welfare amidst uncertainties in innovation and demand. For that purpose, we develop models for cases where the government implements either the supply-side or the demand-side subsidy regime, as well as the benchmark model without any subsidy. Analysis of the equilibrium outcomes shows that subsidizing the firm (consumers) can effectively incentivize decarbonization innovation when the environmental coefficient is high (low). A key finding is that the supply-side subsidy regime could yield a win–win–win–win outcome for the government, the firm, consumers, and the environment; however, the demand-side subsidy regime may undermine sustainability despite enhancing profitability and welfare. Moreover, the government tends to subsidize consumers as the probability of successful decarbonization increases, whereas heightened demand uncertainty or consumers’ low-carbon preferences will prompt the government to subsidize the firm instead. We extend the model to the bilateral subsidy scenario, demonstrating that this regime may not guarantee a Pareto improvement because, in some cases, it reduces both profitability and sustainability. Notably, our main findings remain robust when: (i) The government has a finite subsidy budget, (ii) the government subsidizes the firm’s production cost instead of the investment cost, (iii) the probability of successful decarbonization is dependent on the firm’s investment efforts, or (iv) green and traditional products coexist in the market cannibalizing each other’s sales.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"198 ","pages":"Article 104101"},"PeriodicalIF":8.3,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777070","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}