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

{"title":"A fuzzy programming model for decentralization and drone utilization in urban humanitarian relief chains","authors":"Amirali Amirsahami, Farnaz Barzinpour, Mir Saman Pishvaee","doi":"10.1016/j.tre.2024.103949","DOIUrl":"https://doi.org/10.1016/j.tre.2024.103949","url":null,"abstract":"The urgent need for rapid disaster response mechanisms, particularly<ce:hsp sp=\"0.25\"></ce:hsp>in the event of<ce:hsp sp=\"0.25\"></ce:hsp>earthquakes, is critical. In response to directives from the National Crisis Management Supreme Council, a plan has been initiated to establish distribution centers across all zones of Tehran, Iran,<ce:hsp sp=\"0.25\"></ce:hsp>which signals<ce:hsp sp=\"0.25\"></ce:hsp>a significant shift towards decentralization. However, land scarcity and road blockages hinder the<ce:hsp sp=\"0.25\"></ce:hsp>full realization of<ce:hsp sp=\"0.25\"></ce:hsp>a decentralized structure in certain zones. To address these challenges, two strategies have been proposed: facility expansion and drone-aided delivery. The integration of these strategies has led to the development of a novel structure, the hybrid decentralized humanitarian relief chain with simultaneous utilization of trucks and drones (HDHRC-TD). Mathematical optimization techniques are employed to model the distribution of relief items during the pre-disaster preparedness stage, especially in the critical first hours following an earthquake. The system is treated as a two-echelon network. Additionally, to account for the negative impact of uncertainty in road network connectivity, truck travel time is modeled as an uncertain parameter. A novel simulation-based bi-objective fuzzy chance-constrained programming (SBFCCP) model is introduced to manage this uncertainty.<ce:hsp sp=\"0.25\"></ce:hsp>To ensure the model can be solved within a reasonable time frame, a hybrid metaheuristic algorithm, the modified NSGA-II with adaptive VNS algorithm (M−NSGA−II−AVNS), is employed. The facility expansion strategy reduces establishment costs to 25% of those of a fully decentralized system, while achieving 77% of its response time reduction. The drone-aided delivery strategy further enhances disaster response by improving access to more roads, significantly reducing total waiting times. Moreover, validation of the proposed model confirms its accuracy in managing uncertainty, further supporting the cost-effectiveness and resiliency of the proposed structure for urban disaster response.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"120 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027379","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":"Shared use of dedicated lanes by connected and automated buses and private vehicles: A multi-green-wave signal control scheme","authors":"Xiangdong Chen, Hao Guan, Qiang Meng","doi":"10.1016/j.tre.2025.103965","DOIUrl":"https://doi.org/10.1016/j.tre.2025.103965","url":null,"abstract":"In the initial phase of implementing connected and automated vehicle (CAV) technology, the coexistence of human-driven vehicles (HVs) and CAVs is anticipated for the foreseeable future. While dedicated CAV lane is recognized as an effective solution to enhance traffic safety and efficiency in mixed traffic scenarios, it faces the challenges of road resource wastage, especially at low CAV penetration rates. Therefore, this study proposes a novel concept of a shared CAV lane for both connected and automated buses (CABs) and private CAVs, and develops a multi-green-wave control method for arterials to achieve space–time coordination in heterogeneous traffic. The two-dimensional traffic coordination aims to concurrently improve the service level of CABs and enhance overall traffic efficiency. A three-scale framework is established to integrate the control problems at the lane, intersection, and arterial levels. With the deployment of CAV lanes, lane-specified flow distribution control problem is investigated at the lane level, and a dedicated phase is designed to provide exclusive right-of-ways for CAVs, and jointed with an online conflict-free control strategy at the intersection level. Building upon this, a multiple green-wave design is developed for heterogeneous traffic at arterials, to take full exploit of the space–time resources of both CAV lanes and regular lanes and further improve traffic efficiency. To address the challenges of large-scale and complicated-structure optimization and enable real-time implementation, a hierarchical solution method is proposed. The original problem is decomposed into sub-problems, which can be efficiently solved with an approximation approach to relax the bounding constraints among them. Simulation experiments conducted on an arterial in Singapore validate the performance of the proposed methods. The results demonstrate that the proposed two-dimensional coordination strategy significantly improves traffic efficiency compared to other classic counterpart strategies, reducing the average travel delay for CABs, private CAVs, and HVs by at least 20.4%, 37.4%, and 21.4%, respectively.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"63 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027377","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 multi-period asymmetric transit frequency design problem","authors":"J. Gong, W.Y. Szeto, S. Sun","doi":"10.1016/j.tre.2024.103886","DOIUrl":"https://doi.org/10.1016/j.tre.2024.103886","url":null,"abstract":"Transit frequency design is critical in determining the performance of public transit services. In the literature, single-period frequency design is often considered but ignores the demand variation over time of day. Moreover, in high-demand bus networks, the demand patterns are asymmetric in both directions of some bus routes. This study investigates a bus operation strategy to address these two issues. In this strategy, for each route, a class of buses serves both directions while the other class only serves one direction with high travel demand, leading to the two directions having different frequencies. A bilevel optimization problem is formulated for this strategy. The upper level problem is a multi-period asymmetric transit frequency design problem, which aims to determine the route frequencies of different classes of buses associated with each period to maximize the operating profit or social welfare. This upper level problem also considers deadhead trips between the bus depot and terminals or between terminals of different routes across periods. The lower level problem is a schedule-based user equilibrium transit assignment problem, taking elastic demand, the common line choice of passengers, and capacity constraints into account. A hybrid algorithm combining an enhanced artificial bee colony algorithm with the method of successive averages is proposed to tackle the bilevel optimization problem and then applied to the study of the Tin Shui Wai bus network to demonstrate the model properties. The effectiveness of the proposed algorithm is also examined. The results indicate that the proposed algorithm can produce better solutions compared with the modified hybrid genetic algorithm. Moreover, the proposed multi-period asymmetric design outperforms the existing design, which can achieve less passenger travel time and greater demand satisfaction, operating profit, and social welfare.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"206 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027380","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":"Predictive and prescriptive analytics for robust airport gate assignment planning in airside operations under uncertainty","authors":"Chenliang Zhang, Zhongyi Jin, Kam K.H. Ng, Tie-Qiao Tang, Fangni Zhang, Wei Liu","doi":"10.1016/j.tre.2025.103963","DOIUrl":"https://doi.org/10.1016/j.tre.2025.103963","url":null,"abstract":"With the increasing demand for air transport, numerous airports have exceeded their available capacity, resulting in more frequent congestion and disruptions. Therefore, airport gate assignment plans must prioritise robustness to alleviate congestion, absorb disruptions, and maintain high service levels. Given the uncertainties in airside operations, providing robust decisions is challenging. To address this issue, we employ two prescriptive analytics approaches to develop airport gate assignment plans. These approaches leverage historical data, auxiliary data, and machine learning (ML) methods to enhance decision effectiveness and robustness. Initially, we adopt a predict-then-optimise approach, utilising ML methods to predict aircraft arrival times. These predictions are then used as input for a deterministic model of the airport gate assignment problem (AGAP). Subsequently, we explore an estimate-then-optimise approach. In this approach, we first estimate the distribution of uncertain aircraft arrival times using ML methods. Then, we solve the two-stage stochastic programming model for the AGAP based on the estimated distribution. Given the complexity of the estimate-then-optimise approach, we develop an effective scenario selection strategy, the cluster-based scenario reduction (CSR) method, to maintain tractability while ensuring decision performance. Concurrently, we develop an efficient exact solution method, the Benders-based branch-and-cut (BBC) method, to effectively handle larger and more complex test instances. Numerical experiments using real-world data from Xiamen Gaoqi International Airport demonstrate the effectiveness of the CSR and BBC methods. The CSR method performs better with a smaller sample size, while the BBC method significantly enhances computational performance compared to commercial solvers. These proposed methods improve the tractability and scalability of the estimate-then-optimise approach. Notably, the estimate-then-optimise approach outperforms the predict-then-optimise approach driven by the same ML method. Furthermore, we find that estimate-then-optimise approaches, supported by well-performing ML methods and scenario selection strategies, provide superior performance compared to other optimisation approaches.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"13 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027384","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 learning-based robust optimization framework for synchromodal freight transportation under uncertainty","authors":"Siyavash Filom, Saiedeh Razavi","doi":"10.1016/j.tre.2025.103967","DOIUrl":"https://doi.org/10.1016/j.tre.2025.103967","url":null,"abstract":"Synchromodal freight transport is characterized by its inherent dynamicity, necessitating the need for optimal decision-making in the presence of uncertainties in the real world. However, most prior research has overlooked the complexities of uncertainty modeling, often relying on assumed probability distributions that may not accurately reflect real-world conditions. This study presents a learning-based robust optimization framework for synchromodal freight transportation to derive data-driven explainable decisions. The study proposes a predict-then-optimize framework, using a combination of the Bayesian Neural Network with uncertainty quantification and dynamic robust optimization modules to solve the shipment matching problem under the synchromodality concept. The integration of prediction and optimization modules is achieved through scenario-based adjustable uncertainty sets. Rather than generating a single optimal solution, this framework produces an optimal policy based on various scenarios, enabling decision-makers to evaluate trade-offs and make informed decisions. The framework is implemented for the Great Lakes region containing nine intermodal terminals using real-world data and the performance is evaluated under various scenarios. In addition, a preprocessing heuristic-based feasible path generation algorithm is developed that helps the framework to maintain linear solution time. Numerical experiments performed on large demand instances (up to 700 shipment requests) demonstrate that the upstream prediction module significantly impacts the downstream optimization module. This effect is primarily due to variations in road travel times across scenarios, which impact transshipment operations, storage, and delay costs.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"76 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027381","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":"Bibliometric analysis of maritime cybersecurity: Research status, focus, and perspectives","authors":"Peng Peng, Xiaowei Xie, Christophe Claramunt, Feng Lu, Fuzhong Gong, Ran Yan","doi":"10.1016/j.tre.2025.103971","DOIUrl":"https://doi.org/10.1016/j.tre.2025.103971","url":null,"abstract":"Maritime cybersecurity has emerged as a critical and rapidly evolving research field, necessitated by the increasing reliance on digital technologies and interconnectivity within the global maritime industry. In this paper, we adopt a bibliometric analysis method to review the existing academic publications pertaining to maritime cybersecurity, aiming to provide a comprehensive overview of the development status and research focus. The results show that: 1) Research on maritime cybersecurity is currently undergoing significant development; 2) Most articles on marine cybersecurity are published by researchers from North America and Europe, with most of them stem from the US, Norway, and UK; 3) Most international collaborations are limited at a regional level, and the major regions include North America and Europe; 4) Five closely related research keyword communities show that maritime cybersecurity research hotspots focus on transport-related cyber-attacks, autonomous vessel, AIS, maritime communication, and UAV. The above thorough examination of the current research on maritime cybersecurity also shows that there are some weaknesses in existing studies. For example, the research topic of maritime cybersecurity has not yet received adequate attention and the research hotspot is relatively concentrated. Based on the findings, we propose perspectives of the research on maritime cybersecurity from the aspects of the effectiveness of regulations, funding and investment opportunities, digitalization in the maritime industry and cybersecurity, advances in maritime communication systems, and unmanned aerial vehicles and maritime cybersecurity.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"5 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988503","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":"The new supply chain information sharing Renaissance through crypto valuation mechanism of digital assets","authors":"Arjun Rachana Harish, Xinlai Liu, Ming Li, Ray Y. Zhong, George Q. Huang","doi":"10.1016/j.tre.2025.103962","DOIUrl":"https://doi.org/10.1016/j.tre.2025.103962","url":null,"abstract":"It is well known that supply chains should leverage information sharing from stakeholders as a measure to drive business growth. However, the practice of information sharing for supply chain management has been fairly limited due to the high cost of meeting differential user needs, information-island from centralized storage, and inefficient information value capture. To address these concerns, we investigate a crypto-valuation mechanism of digital assets (DAs) inspired by a standard monopolistic screening model. Our model consists of a DAs provider with a unique cost structure of sharing DAs and users who experience participation costs. The DAs are digital replicas of physical assets (e.g., workforce, trucks, and cargo) in the supply chain. The provider produces DAs with maximum features (e.g., carbon emission, customer satisfaction, etc.) to give users differential feature access for set valuations (crypto-token payment). When the consumers experience participation costs, we find that the marginal sharing and participation costs determine the optimality of DAs versioning. By endogenizing the highest quality (or level of digitization), we find that an increase in the cost of delivering DAs results in every user getting access to fewer features. Interestingly, cost factors do not directly influence user coverage, i.e., costs do not determine who gets access to DAs. However, the provider’s decision to absorb a portion of user participation cost can contract the user coverage. Overall, this study contributes a novel valuation mechanism to the literature on blockchain adoption for information sharing in the supply chain. It also offers insights and recommendations based on critical parameters to guide supply chains that leverage the mechanism for business growth.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"144 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988563","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":"Behind the scenes or front? Branding strategy of technology provider in a technology-intensive supply chain","authors":"Yun He, Yunrong Zhang, Huaxiao Shen","doi":"10.1016/j.tre.2025.103961","DOIUrl":"https://doi.org/10.1016/j.tre.2025.103961","url":null,"abstract":"In a technology-intensive supply chain, branding can significantly enhance consumers’ perception of a technology’s contribution to the final products, making it potentially beneficial for the technology provider. However, many technology providers operate behind the scenes as pure suppliers, rather than branding themselves. The reasons behind these heterogeneous branding decisions among technology providers remain unclear. Our findings suggest that without branding, the technology provider’s profitability is largely determined by the manufacturer’s quality. As a result, even if a technology provider offers technology of higher quality and possesses greater bargaining power, it may not necessarily realize higher profits. Branding can significantly mitigate this effect, allowing the technology provider to gain profit without being constrained by the manufacturer’s quality. The trade-off between bargaining power and additional branding costs plays a key role in the technology provider’s profitability. Interestingly, while one might expect that increasing the technology provider’s bargaining power would hurt the manufacturer’s profit, our findings show that when the technology provider opts for branding, an increase in bargaining power can lead to a win-win solution, provided that the branding cost is not too high. We further extend the model to investigate how the technology provider’s encroachment decision affect the competitive decision within the branding strategy. Finally, we examine the robustness of the major results by employing different decision sequences and licensing fee structures. Overall, the results of this paper offer technology providers valuable insights into the advantages and disadvantages of the branding strategy.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"49 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988558","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":"Managerial decisions of remanufacturing technology portfolio under a discrete choice model","authors":"Ying Cao, Guang Li, Kai Meng, Xianghui Peng","doi":"10.1016/j.tre.2024.103959","DOIUrl":"https://doi.org/10.1016/j.tre.2024.103959","url":null,"abstract":"Remanufacturing is a viable and indispensable method to restore used electronics to near-new condition, combating the alarming rise of end-of-life (EOL) products, particularly in the field of electronic waste. It aligns with Environmental, Social, and Governance (ESG) principles, emphasizing sustainability and responsible resource management. In this paper, we consider a remanufacturer’s problem in choosing various technologies to form a Remanufacturing Technology Portfolio (RTP), a strategic decision affecting remanufacturers’ efficiency, productivity, and contributions to societal and environmental welfare. To address the unique challenges posed by the variability of EOL product quality, substitutability among candidate technologies, and other considerations in the RTP problem, we employ a discrete choice modeling framework, specifically the multinomial logit model, to characterize the technology assignment process of unprocessed EOL cores. This application is novel in the remanufacturing industry. We reveal that the optimal RTP balances remanufacturing capability and profitability, consisting of a set of the most profitable technologies. Moreover, we identify conditions under which technologies are included or excluded from the optimal RTP and explore the impact of various factors such as selling price, salvage values, and production and material costs on the composition of the optimal RTP and the remanufacturing yield. This study provides valuable guidance for remanufacturers in strategically selecting technologies to enhance their performance and competitiveness in the volatile remanufacturing market, while advancing their ESG objectives. In a broader supply chain context, the findings suggest strategies to encourage other supply chain stakeholders to engage in ESG practices and offer insights on how government incentives promoting remanufacturing can be more effectively structured based on technological considerations.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"17 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988562","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 inventory and pricing control of a perishable product with multiple shelf life phases","authors":"Mohammad S. Moshtagh, Yun Zhou, Manish Verma","doi":"10.1016/j.tre.2025.103960","DOIUrl":"https://doi.org/10.1016/j.tre.2025.103960","url":null,"abstract":"This paper investigates a dynamic inventory-pricing system with perishable products of multiple freshness levels. The firm may set different prices for items of different freshness levels, and customers either balk or choose to buy the freshness level that maximizes their utility. We model this inventory-pricing problem as a Markov decision process, where the assortment dynamically changes based on the freshness levels of the available items. Using the concept of anti-multimodularity, we characterize the structure of the optimal policy. Specifically, we show that the optimal production policy has a state-dependent threshold-based structure. The production decisions are more sensitive to the inventory of fresher items than less fresh ones. Moreover, the optimal price of a freshness level is nonincreasing in the inventory of items of any freshness level, and it is more sensitive to those of a closer freshness level. The structural properties enable us to devise three novel heuristic policies with good performance. We further extend the model by considering donations and a system with multiple freshness phases. Our research suggests that freshness-dependent pricing and dynamic pricing are two substitutable strategies, while freshness-dependent pricing and donation are strategic complements. The results further imply that the firm can benefit from high variability in freshness among items under dynamic pricing, but such variability may lead to a significant loss when single, static pricing is used. The results of our heuristic policies show that considering inventory and pricing decisions as a parametrized function of the inventory state leads to nearly optimal solutions.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"94 1 Suppl 1","pages":""},"PeriodicalIF":10.6,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988619","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}