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

{"title":"Assessment of equilibrium accessibility for import/export containers in hub-and-spoke transport network: Impact of international land-sea trade corridor","authors":"","doi":"10.1016/j.tre.2024.103747","DOIUrl":"10.1016/j.tre.2024.103747","url":null,"abstract":"<div><p>In Asia, the international land-sea trade corridor (ILSTC) is undergoing significant expansion, notably through the China Railway Express (CR-Express) and the export tax rebate at the departure port with Port of Yangpu as gateway. This expansion plays a pivotal role in shaping the accessibility for import/export containers in the hub-and-spoke transport network (A-IEC-HSTN). This paper delves into analyzing the ILSTC’s impacts and introduces an approach assessing the equilibrium accessibility for import/export containers in the hub-and-spoke transport network (EA-IEC-HSTN), tailored to consider the impact of emerging policies like ILSTC. To examine how ILSTC affects transport accessibility and shapes stakeholder behaviors, a tri-level model is developed which synergistically combines the port investment decision model, liner shipping schedule design model, and multinomial logit model (MNL), all enriched by the incorporation of a gravity model. This tri-level model is combined with a classic transport accessibility framework to quantify EA-IEC-HSTN in the context of ILSTC when no stakeholders can gain more profit through changing their activities. This study offers a comprehensive examination of the EA-IEC-HSTN, the strategic investment of the Port of Yangpu, the liner shipping schedule and the associated incremental export freight demand. This paper markedly advances the understanding of trade transport network dynamics, offering critical insights that are invaluable for stakeholders and policymakers in the realm of international trade and transport policy.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142137043","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":"Dynamic resilience analysis of the liner shipping network: From structure to cooperative mechanism","authors":"","doi":"10.1016/j.tre.2024.103755","DOIUrl":"10.1016/j.tre.2024.103755","url":null,"abstract":"<div><p>Liner shipping networks play a vital role in global and regional trade. However, they are susceptible to damage from unexpected interruptions, which can trigger dynamic cascading failures and undermine the system’s resilience. To address this challenge, we propose a novel cascading failure model for liner shipping networks that considers the characteristics of the network structure and port functions. First, we design two load redistribution methods that rely on network topology and employ a cooperative mechanism for coordination. This cooperative mechanism aims to balance the benefits for carriers and shippers by effectively controlling losses. Subsequently, we develop three metrics—network congestion rate, failure rate, and shipper loss—to assess the resilience of the network during cascading failures. To verify the impact of the cooperative mechanism, we apply the proposed methods to the China-Europe liner shipping network. Through simulations involving various port failures and resistance levels, we analyze the effectiveness of the cooperative mechanism. The results demonstrate that redistributing the load to downstream ports within the network effectively mitigates deep cascading failures. Additionally, the implementation of a port cooperative mechanism enhances resilience in the face of uncertainties by safeguarding crucial ports within the network and significantly reducing shipper losses. When port resistance is low, the cooperative mechanism reduces shipper losses by nearly half and lowers the average congestion rate. Although port reserve capacity can resist cascading failures, it falls short in the face of severe disruptions. In such cases, the cooperative mechanism compensates for capacity shortages, enhancing port resilience at a low cost. This study contributes to combating and minimizing cascading congestion in liner shipping networks, offering valuable insights for risk prevention and management strategies for ports and shipping companies. It also has implications for yield management and policy decisions from a network perspective.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129192","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 advertising structure in the presence of a platform owner’s entry","authors":"","doi":"10.1016/j.tre.2024.103745","DOIUrl":"10.1016/j.tre.2024.103745","url":null,"abstract":"<div><p>As consumer demand for mobile electronic items (e.g., mobile phones, tablets, or wearables) rises, advertising competition among electronics manufacturers becomes more intense. Moreover, platform owners that offer platforms for electronics manufacturers may use private labels to enter the manufacturers’ market, which further prompts the manufacturers to advertise in response to platform entry. We study how a platform owner’s entry affects advertising and price competition for a strong manufacturer and a weak manufacturer who are differentiated in production costs and advertising efficiency, and reveal the impacts of platform entry and two typical revenue models on the optimal advertising structures of supply chain members in the platform-based market. In the absence of entry, we discover that a relatively larger production cost advantage induces only the strong manufacturer to advertise while a relatively higher advertising efficiency advantage induces only the weak manufacturer to advertise in the wholesale model. In the bundling model, we show that the platform is always beneficial from the advertising of the manufacturer who can generate higher marginal revenue. With entry, our analysis reveals how the production cost of the platform and the differences in advertising efficiency between the manufacturers affect the optimal advertising structure. In particular, we find that as the production cost increases, the platform first prefers only the weak manufacturer to advertise and then both manufacturers to advertise. In practice, our findings have significant managerial implications for platform owners and electronics manufacturers engaged in advertising competition.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129193","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":"Smart port vs. port integration to mitigate congestion: ESG performance and data validation","authors":"","doi":"10.1016/j.tre.2024.103741","DOIUrl":"10.1016/j.tre.2024.103741","url":null,"abstract":"<div><p>In practice, ports compete on both service volume and service quality. The latter can be measured by the port congestion situation so the mitigation of congestion helps improve customers’ experience. We observe that smart ports are widely built and many local governments are promoting port integration to ease competition and reduce congestion. One immediate question is: Are the two strategies really effective that further enable the improvement of ESG (Environment, Social and Governance) performance? In this study, by taking the <em>do-nothing</em> strategy as the benchmark, we examine how <em>smart port</em> and <em>port integration</em> strategies work in port congestion reduction and ESG improvement. We reveal that the <em>smart port</em> strategy brings the Matthew effect that the large port obtains a larger market share and the smaller port worries about the win-lose situation. We also reveal that smart port can make each port and the entire port system more congested, resulting in the investment dilemma. Differently, the <em>port integration</em> strategy can effectively reduce congestion but hurt social welfare. We further discuss a mixed strategy where both strategies are implemented. Interestingly, under the mixed strategy, the risk of falling into the investment dilemma can be reduced and social welfare can be increased. We compare the ESG performances under three strategies and highlight that the mixed strategy achieves the highest system profit, the <em>smart port</em> strategy yields the highest social welfare, and the <em>port integration</em> strategy may outperform the other strategies in terms of environmental sustainability.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122357","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":"Profit or prestige? Strategies for luxury brands to navigate the second-hand market using blockchain technology","authors":"","doi":"10.1016/j.tre.2024.103726","DOIUrl":"10.1016/j.tre.2024.103726","url":null,"abstract":"<div><p>Luxury brands are increasingly adopting blockchain technology to combat counterfeiting, yet they face a dilemma in addressing the market of second-hand luxury products. While a luxury brand’s involvement in second-hand sales could diminish its exclusivity, it could also increase the brand’s profits. Motivated by luxury brands’ concerns about venturing into the second-hand market while preserving their brand exclusivity, this study presents an analytical model to investigate how blockchain authentication impacts their strategies in the second-hand market. A distinctive feature of this study is the conceptualisation of aspirational value associated with the luxury brand. Our analysis reveals that premium and mass-market brands can improve brand exclusivity by enhancing second-hand product quality. However, luxury brands may diminish brand exclusivity if the quality of second-hand products is high. Additionally, luxury brands can maintain exclusivity by avoiding the second-hand market when using blockchain for authentication, provided that the authentication cost is below a threshold. Furthermore, our research sheds light on the strategies of various fashion brands (mass-market, premium, and luxury brands), contingent upon their aspirational values, to combat counterfeit products by deploying a blockchain-based authentication mechanism for the second-hand market.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142101428","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":"Capacity planning in logistics corridors: Deep reinforcement learning for the dynamic stochastic temporal bin packing problem","authors":"","doi":"10.1016/j.tre.2024.103742","DOIUrl":"10.1016/j.tre.2024.103742","url":null,"abstract":"<div><p>This paper addresses the challenge of managing uncertainty in the daily capacity planning of a terminal in a corridor-based logistics system. Corridor-based logistics systems facilitate the exchange of freight between two distinct regions, usually involving industrial and logistics clusters. In this context, we introduce the dynamic stochastic temporal bin packing problem. It models the assignment of individual containers to carriers’ trucks over discrete time units in real-time. We formulate it as a Markov decision process (MDP). Two distinguishing characteristics of our problem are the stochastic nature of the time-dependent availability of containers, i.e., container <em>delays</em>, and the continuous-time, or <em>dynamic</em>, aspect of the planning, where a container announcement may occur at any time moment during the planning horizon. We introduce an innovative real-time planning algorithm based on Proximal Policy Optimization (PPO), a Deep Reinforcement Learning (DRL) method, to allocate individual containers to eligible carriers in real-time. In addition, we propose some practical heuristics and two novel rolling-horizon batch-planning methods based on (stochastic) mixed-integer programming (MIP), which can be interpreted as computational information relaxation bounds because they delay decision making. The results show that our proposed DRL method outperforms the practical heuristics and effectively scales to larger-sized problems as opposed to the stochastic MIP-based approach, making our DRL method a practically appealing solution.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1366554524003338/pdfft?md5=772c954521a957892fdb831dda89545d&pid=1-s2.0-S1366554524003338-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098998","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}

{"title":"From operational to strategic modelling: A continuous multi-scale approach for last-mile analysis","authors":"","doi":"10.1016/j.tre.2024.103738","DOIUrl":"10.1016/j.tre.2024.103738","url":null,"abstract":"<div><p>Supply chain planning requires decision-making at all levels, especially in the new normal of intervened supply networks. The integration of strategic network design and operational routing decisions has been widely studied in the literature as the location-routing problem (LRP). However, the LRP does not consider the differences in the planning horizon of each sub-problem, nor have geospatial elements been included in the distribution of demand. This paper aims to redesign the conceptual modelling of the last mile to inform strategic network design problems. A continuous multi-scale approach (CMA) is proposed by taking elements from the districting problem (DP) and continuous approximation (CA). This approach includes stochastic demand in the analysis and the effects of time windows and failed deliveries. The validation of CMA in a case of rural parcel deliveries in Belgium shows an estimate of the distance travelled similar to traditional routing algorithms in scenarios with high demand density. Likewise, the effects of time windows on the spatial configuration of multi-scale districting are explored. This approach provides insights for decision-making in strategic and tactical planning, such as sonification, differentiated services to satisfy consumer preferences, and fleet management. The limitations of the CMA lie in its implementation in purely operational scenarios since it does not offer detailed routing information. Subsequent research aims to exploit the potential of strategic last-mile modelling with effective integration into network design problems.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098999","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":"A near real-time carbon accounting framework for the decarbonization of maritime transport","authors":"","doi":"10.1016/j.tre.2024.103724","DOIUrl":"10.1016/j.tre.2024.103724","url":null,"abstract":"<div><p>The recently proposed marine greenhouse gas (GHG) emission pricing mechanism has pressured shipping companies and regulators to adopt effective methods for the real-time monitoring of carbon emissions. This study proposes a Near Real-Time (NRT) carbon accounting framework that leverages machine learning models to enable carbon emission tracking at a 15-minute time interval. The framework incorporates critical factors, such as ship navigation characteristics, weather, and sea conditions to achieve accurate carbon accounting. We validate the framework’s efficacy through a case study of four mega-container ships of varying sizes and navigation scenarios. Our results show a maximum cumulative error of 5.83% for all ship navigation scenarios, even without critical data, and during the most extended voyages of their respective services. The proposed framework provides a new perspective on the decarbonization application of ship energy efficiency prediction research. By integrating it with a cloud-computing platform, shipping companies can enhance their voyage planning and route adjustment to optimize operational efficiency and reduce carbon footprints. Using this framework, international maritime transport regulators can develop an early warning system for carbon emissions to coordinate and improve environmental sustainability practices in the shipping industry.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1366554524003156/pdfft?md5=468a6d6d2cf2cdc8e67eb94d2e0f270c&pid=1-s2.0-S1366554524003156-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099114","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}

{"title":"Enhancing airline connectivity: An optimisation approach for flight scheduling in multi-hub networks with bank structures","authors":"","doi":"10.1016/j.tre.2024.103715","DOIUrl":"10.1016/j.tre.2024.103715","url":null,"abstract":"<div><p>While one salient characteristic of hub airports lies in connecting passengers, the full-service airlines in North America concentrate their networks spatially over a number of hubs. Having witnessed the emerging multi-hub network, this paper investigated the flight scheduling problem under a multi-hub configuration, taking a well-defined bank structure and airport operational restrictions into account. An integrated non-convex Mixed-Integer Nonlinear Programming (MINLP) approach was proposed to enhance airline connectivity, considering different combinations of traffic flow direction and connecting times. To verify the scalability and effectiveness of the proposed model, a comprehensive case study has been undertaken with real-world scheduling data from Air China, which was solved by a novel problem-specific Selective Simulated Annealing (SSA) algorithm. Substantial improvements were achieved without sacrificing the scheduling efficiency. Precisely, the programme adjusted the flights during a typical operational day in a timely manner. The post-optimisation outcomes have witnessed its effectiveness with a 17.97%, 17.06%, 22.41% and 53.86% increase in airline connectivity at its four major hub airports (Chengdu Shangliu, Beijing Capital, Shanghai Pudong and Hongqiao) in China, respectively. A clear pattern of the bank structure also confirms its positive impact on airline connectivity under the multi-hub network configuration. Lastly, a comparative analysis for the distribution of all feasible connections further highlights the critical challenge concerning the role of the hubs in a multi-hub network. More specifically, Air China’s multi-hub network systematically performs better on Domestic-International routes, due to flight schedule, frequencies, geographical placements and detours. Among the four hub airports, Beijing Capital International Airport stands out as a dominant one, which implies its potential to serve as a robust international hub airport.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142087864","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":"A sequential transit network design algorithm with optimal learning under correlated beliefs","authors":"","doi":"10.1016/j.tre.2024.103707","DOIUrl":"10.1016/j.tre.2024.103707","url":null,"abstract":"<div><p>Mobility service route design requires demand information to operate in a service region. Transit planners and operators can access various data sources including household travel survey data and mobile device location logs. However, when implementing a mobility system with emerging technologies, estimating demand becomes harder because of limited data resulting in uncertainty. This study proposes an artificial intelligence-driven algorithm that combines sequential transit network design with optimal learning to address the operation under limited data. An operator gradually expands its route system to avoid risks from inconsistency between designed routes and actual travel demand. At the same time, observed information is archived to update the knowledge that the operator currently uses. Three learning policies are compared within the algorithm: multi-armed bandit, knowledge gradient, and knowledge gradient with correlated beliefs. For validation, a new route system is designed on an artificial network based on public use microdata areas in New York City. Prior knowledge is reproduced from the regional household travel survey data. The results suggest that exploration considering correlations can achieve better performance compared to greedy choices and other independent belief-based techniques in general. In future work, the problem may incorporate more complexities such as demand elasticity to travel time, no limitations to the number of transfers, and costs for expansion.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1366554524002989/pdfft?md5=f6d7432e89633433bd3b6427c7fb95c0&pid=1-s2.0-S1366554524002989-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142098997","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}