Pub Date : 2024-11-27DOI: 10.1016/j.tre.2024.103873
Lebao Wu, Zuhua Jiang
This paper considers a parallel stack loading problem with multiple batches of storage plates, a problem that occurs in the plate logistics of shipbuilding. The objective of this problem is to store batches of plates in a yard simultaneously so that the number of relocations during the retrieval stage is minimal. Instead of choosing the plates’ location in the yard alone, the storage order should also be decided, and the storage priority between plates in a batch should be maintained. Such a problem can be regarded as a variant of the capacitated vehicle routing problem. This paper analyzes the influence of stack number, stack capacity, and batch number on the relocation number; optimal conditions and upper bounds under different parameter ranges are provided. Four mathematical models and an ALNS-based algorithm are designed to solve the small-sized and large-sized instances separately, and the experiments on benchmarks are conducted to demonstrate the performance of the proposed methods. Finally, some management suggestions are provided based on the analysis of the problem and experiment results.
{"title":"The parallel stack loading problem considering multiple batches of storage plates","authors":"Lebao Wu, Zuhua Jiang","doi":"10.1016/j.tre.2024.103873","DOIUrl":"10.1016/j.tre.2024.103873","url":null,"abstract":"<div><div>This paper considers a parallel stack loading problem with multiple batches of storage plates, a problem that occurs in the plate logistics of shipbuilding. The objective of this problem is to store batches of plates in a yard simultaneously so that the number of relocations during the retrieval stage is minimal. Instead of choosing the plates’ location in the yard alone, the storage order should also be decided, and the storage priority between plates in a batch should be maintained. Such a problem can be regarded as a variant of the capacitated vehicle routing problem. This paper analyzes the influence of stack number, stack capacity, and batch number on the relocation number; optimal conditions and upper bounds under different parameter ranges are provided. Four mathematical models and an ALNS-based algorithm are designed to solve the small-sized and large-sized instances separately, and the experiments on benchmarks are conducted to demonstrate the performance of the proposed methods. Finally, some management suggestions are provided based on the analysis of the problem and experiment results.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103873"},"PeriodicalIF":8.3,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723716","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}
Pub Date : 2024-11-26DOI: 10.1016/j.tre.2024.103863
Wentao Huang, Sisi Jian
The liberalization of the transport market and advancements in real-time information technologies have prospered various shared mobility services, such as ridesourcing and carsharing. The emergence of these services complicates the relationships between them and public transport, as they often compete and cooperate simultaneously. This study develops a game-theoretic model to unveil these interactions using a multi-leader single-follower framework. In this framework, operators set their service rates as leaders, while travelers are assigned to services based on a logit model, which influences the profitability of both operators. The public transport operator may also subsidize travelers who use shared mobility service to access first- or last-mile trips, referring to as the bundle services. We reformulate the resulting nonlinear, nonconvex problem into a standard convex bilevel model by using outer linear approximations and applying KKT conditions to replace the lower-level problem. An iterative algorithm is developed to solve the game-theoretical model, complemented by an optimization-based bound tightening technique to enhance solution efficiency and accuracy. Our findings show that smaller operators, limited by budget constraints, are more likely to cooperate in bundle services for longer distances but tend to compete for shorter distances. In contrast, larger operators strategically alternate between competition and cooperation based on market conditions. Furthermore, well-designed subsidies in the bundle services can incentivize cooperation between shared mobility and public transport, benefiting both operators and travelers.
{"title":"Unveiling coopetition dynamics between shared mobility and public transport: A game-theoretic approach","authors":"Wentao Huang, Sisi Jian","doi":"10.1016/j.tre.2024.103863","DOIUrl":"10.1016/j.tre.2024.103863","url":null,"abstract":"<div><div>The liberalization of the transport market and advancements in real-time information technologies have prospered various shared mobility services, such as ridesourcing and carsharing. The emergence of these services complicates the relationships between them and public transport, as they often compete and cooperate simultaneously. This study develops a game-theoretic model to unveil these interactions using a multi-leader single-follower framework. In this framework, operators set their service rates as leaders, while travelers are assigned to services based on a logit model, which influences the profitability of both operators. The public transport operator may also subsidize travelers who use shared mobility service to access first- or last-mile trips, referring to as the bundle services. We reformulate the resulting nonlinear, nonconvex problem into a standard convex bilevel model by using outer linear approximations and applying KKT conditions to replace the lower-level problem. An iterative algorithm is developed to solve the game-theoretical model, complemented by an optimization-based bound tightening technique to enhance solution efficiency and accuracy. Our findings show that smaller operators, limited by budget constraints, are more likely to cooperate in bundle services for longer distances but tend to compete for shorter distances. In contrast, larger operators strategically alternate between competition and cooperation based on market conditions. Furthermore, well-designed subsidies in the bundle services can incentivize cooperation between shared mobility and public transport, benefiting both operators and travelers.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103863"},"PeriodicalIF":8.3,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698266","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}
Pub Date : 2024-11-24DOI: 10.1016/j.tre.2024.103860
Luyu Chang , Chuanxu Wang , Qing Zhang
Manufacturer encroachment becomes increasingly more prevalent and incurs channel competition and product competition. This paper investigates an effective encroachment format (i.e., direct selling or agent selling) to ease channel competition, and analyzes how providing vertically differentiated products (i.e., easing product competition) affects the effectiveness of easing channel competition in improving the manufacturer’s profit. Our analysis shows that the double marginalization effect of the direct channel caused by agent selling may produce a positive effect, easing channel competition. On this basis, we find that adopting quality differentiation can generate a synergy (mitigation) effect to strengthen (reduce) the effectiveness (ineffectiveness) of easing channel competition in improving the manufacturer’s profit. In addition, adopting quality differentiation enhances (reduces) the manufacturer’s preference for direct selling (non-encroachment). Further, we explore the strategic interplay between partners. We uncover that encroachment always hurts the retailer, while the retailer can prevent encroachment under quality differentiation strategy (i.e., an anti-encroachment behavior). Furthermore, although anti-encroachment causes strategy conflict between partners, Pareto improvement can achieve consistency. Interestingly, the selfish behavior of the manufacturer or retailer that pursues solely maximizing individual profit leads to an encroachment trap or an anti-encroachment trap, that is, a non-optimal result occurs. Remarkably, although anti-encroachment may be ineffective, can generate an anti-encroachment potential or an anti-encroachment threat to reduce the loss of encroachment. In particular, the manufacturer’s countermeasures (i.e., changing the equilibrium encroachment strategy) may form a deterrence to force the retailer to abandon anti-encroachment.
{"title":"Optimal channel structure for vertically differentiated products","authors":"Luyu Chang , Chuanxu Wang , Qing Zhang","doi":"10.1016/j.tre.2024.103860","DOIUrl":"10.1016/j.tre.2024.103860","url":null,"abstract":"<div><div>Manufacturer encroachment becomes increasingly more prevalent and incurs channel competition and product competition. This paper investigates an effective encroachment format (i.e., direct selling or agent selling) to ease channel competition, and analyzes how providing vertically differentiated products (i.e., easing product competition) affects the effectiveness of easing channel competition in improving the manufacturer’s profit. Our analysis shows that the double marginalization effect of the direct channel caused by agent selling may produce a positive effect, easing channel competition. On this basis, we find that adopting quality differentiation can generate a synergy (mitigation) effect to strengthen (reduce) the effectiveness (ineffectiveness) of easing channel competition in improving the manufacturer’s profit. In addition, adopting quality differentiation enhances (reduces) the manufacturer’s preference for direct selling (non-encroachment). Further, we explore the strategic interplay between partners. We uncover that encroachment always hurts the retailer, while the retailer can prevent encroachment under quality differentiation strategy (i.e., an anti-encroachment behavior). Furthermore, although anti-encroachment causes strategy conflict between partners, Pareto improvement can achieve consistency. Interestingly, the selfish behavior of the manufacturer or retailer that pursues solely maximizing individual profit leads to an encroachment trap or an anti-encroachment trap, that is, a non-optimal result occurs. Remarkably, although anti-encroachment may be ineffective, can generate an anti-encroachment potential or an anti-encroachment threat to reduce the loss of encroachment. In particular, the manufacturer’s countermeasures (i.e., changing the equilibrium encroachment strategy) may form a deterrence to force the retailer to abandon anti-encroachment.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103860"},"PeriodicalIF":8.3,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698264","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}
Pub Date : 2024-11-22DOI: 10.1016/j.tre.2024.103867
Rico Kötschau, Ninja Scherr, Christian Tilk, Jan Fabian Ehmke
The demand for last-mile parcel delivery services is expected to increase. Great efforts are therefore being made to develop new ideas for more efficient last-mile delivery. One of the more recent concepts are Mobile Parcel Lockers (MPL), which can be easily repositioned to meet the actual daily demand for deliveries. In this work, we introduce the Mobile Home Delivery Parcel Locker (MHDPL) problem. Therein, a single vehicle can provide both, MPL service and Attended Home Deliveries (AHD), the current industry standard. Hence, the MHDPL problem integrates two characteristics: the simultaneous delivery of many customers as with MPLs, and the delivery of particularly remote customers in a short time as with AHDs. We present a mathematical formulation and propose an Iterated Local Search (ILS) as a solution approach. Since our ILS works on a time-space network, we introduce new problem and network-specific operators. The performance of the ILS is evaluated and the efficiency of the new service is analyzed in terms of various instance and customer characteristics, comparing it to dedicated MPL and AHD services. Our computational analysis reveals that the combination of services has economic potential and satisfies customer preferences more effectively. According to our study, an average MHDPL vehicle can serve 21% more customers than a comparable AHD vehicle.
对最后一英里包裹递送服务的需求预计会增加。因此，人们正在努力开发新的理念，以提高最后一英里投递的效率。最近提出的一个概念是移动包裹柜（MPL），它可以很容易地重新定位，以满足每天实际的投递需求。在这项工作中，我们引入了移动家庭递送包裹柜（MHDPL）问题。在这个问题中，一辆车既可以提供 MPL 服务，也可以提供目前的行业标准--上门送货服务 (AHD)。因此，MHDPL 问题综合了两个特点：与 MPL 一样，可同时为许多客户送货；与 AHD 一样，可在短时间内为特别偏远的客户送货。我们给出了一个数学公式，并提出了一种迭代局部搜索（ILS）的求解方法。由于我们的 ILS 在时空网络上运行，因此我们引入了新的问题和网络专用算子。我们评估了 ILS 的性能，并根据各种实例和客户特征分析了新服务的效率，同时将其与专用 MPL 和 AHD 服务进行了比较。我们的计算分析表明，服务组合具有经济潜力，能更有效地满足客户的偏好。根据我们的研究，MHDPL 车辆平均可比同类 AHD 车辆多服务 21% 的客户。
{"title":"Mobile home delivery parcel lockers","authors":"Rico Kötschau, Ninja Scherr, Christian Tilk, Jan Fabian Ehmke","doi":"10.1016/j.tre.2024.103867","DOIUrl":"10.1016/j.tre.2024.103867","url":null,"abstract":"<div><div>The demand for last-mile parcel delivery services is expected to increase. Great efforts are therefore being made to develop new ideas for more efficient last-mile delivery. One of the more recent concepts are Mobile Parcel Lockers (MPL), which can be easily repositioned to meet the actual daily demand for deliveries. In this work, we introduce the Mobile Home Delivery Parcel Locker (MHDPL) problem. Therein, a single vehicle can provide both, MPL service and Attended Home Deliveries (AHD), the current industry standard. Hence, the MHDPL problem integrates two characteristics: the simultaneous delivery of many customers as with MPLs, and the delivery of particularly remote customers in a short time as with AHDs. We present a mathematical formulation and propose an Iterated Local Search (ILS) as a solution approach. Since our ILS works on a time-space network, we introduce new problem and network-specific operators. The performance of the ILS is evaluated and the efficiency of the new service is analyzed in terms of various instance and customer characteristics, comparing it to dedicated MPL and AHD services. Our computational analysis reveals that the combination of services has economic potential and satisfies customer preferences more effectively. According to our study, an average MHDPL vehicle can serve 21% more customers than a comparable AHD vehicle.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103867"},"PeriodicalIF":8.3,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698265","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}
Pub Date : 2024-11-21DOI: 10.1016/j.tre.2024.103871
Qing Li , Feixiong Liao , Wei Xu , Hai-Jun Huang
Shared privately-owned autonomous vehicles (SPAVs) are expected to be a primary alternative to existing car-sharing and on-demand mobility services when fully automated vehicles are soon to be privatized. In this paradigm, PAV owners make decisions on whether/when/where/for how long to share their PAVs, which would make a dynamic fleet of SPAVs. To improve the effectiveness of such a mobility system, a certain fleet of shared business-owned autonomous vehicles (SBAVs) may also be required. This study proposes a bi-level programming model considering the hybrid ownership of shared autonomous vehicles (SAVs). The upper level optimizes the fleet size of SBAVs and rental price of SAVs involving an endogenous fleet of SPAVs, and the lower level involves an SAV self-relocation strategy and attends to travelers’ daily activity-travel scheduling behaviors. A memetic algorithm involving iterative adjustments of the supply and demand sides is developed for the bi-level model. Results from numerical examples indicate that SBAVs provided by the operator complement SPAVs to serve the mobility demand to improve system performance, while PAVs owners adapt sharing behaviors and daily schedules to reduce activity-travel disutilities.
当全自动驾驶汽车即将私有化时，共享私人拥有的自动驾驶汽车（SPAVs）有望成为现有汽车共享和按需移动服务的主要替代品。在这种模式下，私人自动驾驶汽车的所有者将决定是否/何时/何地/多长时间共享他们的私人自动驾驶汽车，这将形成一个动态的私人自动驾驶汽车车队。为了提高这种交通系统的效率，可能还需要一定数量的共享商业自主车辆（SBAV）。本研究提出了一种考虑到共享自动驾驶汽车（SAVs）混合所有权的双层编程模型。上层优化 SBAV 的车队规模和 SAV 的租赁价格，涉及内生的 SPAV 车队；下层涉及 SAV 的自我定位策略，并关注旅行者的日常活动-旅行调度行为。针对双层次模型开发了一种涉及供需双方迭代调整的记忆算法。数值示例的结果表明，运营商提供的 SBAV 与 SPAV 相辅相成，共同满足移动需求，从而提高系统性能，而 PAV 的所有者则调整共享行为和日常日程安排，以减少活动-旅行的不便利性。
{"title":"Fleet sizing and pricing for hybrid ownership of shared autonomous vehicles in a multimodal transportation system","authors":"Qing Li , Feixiong Liao , Wei Xu , Hai-Jun Huang","doi":"10.1016/j.tre.2024.103871","DOIUrl":"10.1016/j.tre.2024.103871","url":null,"abstract":"<div><div>Shared privately-owned autonomous vehicles (SPAVs) are expected to be a primary alternative to existing car-sharing and on-demand mobility services when fully automated vehicles are soon to be privatized. In this paradigm, PAV owners make decisions on whether/when/where/for how long to share their PAVs, which would make a dynamic fleet of SPAVs. To improve the effectiveness of such a mobility system, a certain fleet of shared business-owned autonomous vehicles (SBAVs) may also be required. This study proposes a bi-level programming model considering the hybrid ownership of shared autonomous vehicles (SAVs). The upper level optimizes the fleet size of SBAVs and rental price of SAVs involving an endogenous fleet of SPAVs, and the lower level involves an SAV self-relocation strategy and attends to travelers’ daily activity-travel scheduling behaviors. A memetic algorithm involving iterative adjustments of the supply and demand sides is developed for the bi-level model. Results from numerical examples indicate that SBAVs provided by the operator complement SPAVs to serve the mobility demand to improve system performance, while PAVs owners adapt sharing behaviors and daily schedules to reduce activity-travel disutilities.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103871"},"PeriodicalIF":8.3,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684337","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}
Pub Date : 2024-11-20DOI: 10.1016/j.tre.2024.103854
Yanli Tang , Suresh P. Sethi , Yulan Wang
When adopting a dual-channel strategy, a supplier who initially provides the goods for an e-commerce platform’s reselling scheme typically has two direct-sale options: (i) retail channel encroachment by opening an independent store or (ii) commission channel encroachment through selling on the platform’s online marketplace. The supplier receives all retail revenue in the former but incurs a channel entry cost. In the latter, the supplier pays the platform commission based on the resulting sales revenue, and the platform may share its demand information with the supplier. We consider two quantity leadership structures: supplier-led and platform-led. First, we show that the platform employs a linear quantity decision rule in equilibrium when there is information asymmetry. Second, a quantity-leader platform always shares its information with the supplier via the commission channel, whereas a quantity-follower platform may not have any incentive to do so. Third, regardless of who the quantity leader is, the supplier always encroaches via the commission channel if the retail-channel entry cost is high and encroaches via the retail channel if that cost is low. Quantity leadership significantly impacts the supplier’s encroachment channel selection only when the retail-channel entry cost is moderate. In this situation, a quantity-leader supplier prefers retail (commission) encroachment, whereas a quantity-follower supplier prefers commission (retail) encroachment when the commission rate is low (high). Last, we consider an extended model that focuses on the simultaneous quantity competition game, and our results characterize the conditions where the supplier is less likely to choose the commission channel in a simultaneous game than in a sequential game.
在采用双渠道战略时，最初为电子商务平台转售计划提供商品的供应商通常有两种直销选择：(i) 通过开设独立商店蚕食零售渠道，或 (ii) 通过在平台的在线市场上销售蚕食佣金渠道。在前者中，供应商获得所有零售收入，但会产生渠道进入成本。在后者中，供应商根据销售收入向平台支付佣金，平台可能会与供应商共享需求信息。我们考虑了两种数量领导结构：供应商主导型和平台主导型。首先，我们表明，当存在信息不对称时，平台在均衡状态下采用线性数量决策规则。其次，数量领导平台总是通过佣金渠道与供应商共享信息，而数量跟随平台可能没有任何动力这样做。第三，无论数量领先者是谁，如果零售渠道进入成本高，供应商总是通过佣金渠道蚕食；如果成本低，供应商则通过零售渠道蚕食。只有当零售渠道进入成本适中时，数量领先者才会对供应商的蚕食渠道选择产生重大影响。在这种情况下，数量领先的供应商更倾向于零售（佣金）侵占，而数量跟随的供应商在佣金率低（高）时更倾向于佣金（零售）侵占。最后，我们考虑了一个扩展模型，该模型侧重于同步数量竞争博弈，我们的结果描述了在同步博弈中供应商选择佣金渠道的可能性小于顺序博弈的条件。
{"title":"Supplier and platform led games of supplier encroachment","authors":"Yanli Tang , Suresh P. Sethi , Yulan Wang","doi":"10.1016/j.tre.2024.103854","DOIUrl":"10.1016/j.tre.2024.103854","url":null,"abstract":"<div><div>When adopting a dual-channel strategy, a supplier who initially provides the goods for an e-commerce platform’s reselling scheme typically has two direct-sale options: (i) <em>retail channel encroachment</em> by opening an independent store or (ii) <em>commission channel encroachment</em> through selling on the platform’s online marketplace. The supplier receives all retail revenue in the former but incurs a channel entry cost. In the latter, the supplier pays the platform commission based on the resulting sales revenue, and the platform may share its demand information with the supplier. We consider two quantity leadership structures: supplier-led and platform-led. First, we show that the platform employs a linear quantity decision rule in equilibrium when there is information asymmetry. Second, a quantity-leader platform always shares its information with the supplier via the commission channel, whereas a quantity-follower platform may not have any incentive to do so. Third, regardless of who the quantity leader is, the supplier always encroaches via the commission channel if the retail-channel entry cost is high and encroaches via the retail channel if that cost is low. Quantity leadership significantly impacts the supplier’s encroachment channel selection only when the retail-channel entry cost is moderate. In this situation, a quantity-leader supplier prefers retail (commission) encroachment, whereas a quantity-follower supplier prefers commission (retail) encroachment when the commission rate is low (high). Last, we consider an extended model that focuses on the simultaneous quantity competition game, and our results characterize the conditions where the supplier is less likely to choose the commission channel in a simultaneous game than in a sequential game.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103854"},"PeriodicalIF":8.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684335","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}
Pub Date : 2024-11-19DOI: 10.1016/j.tre.2024.103857
Yuhao Cao , Xuri Xin , Pisit Jarumaneeroj , Huanhuan Li , Yinwei Feng , Jin Wang , Xinjian Wang , Robyn Pyne , Zaili Yang
Being a fundamental link in the global supply chain and logistics system, the global container shipping network (GCSN) is highly interconnected, which causes the network resilience challenges by the cascading failures triggered by extreme events (e.g., COVID-19 and regional conflicts). Within this dynamic process, the load redistribution behaviour is the core countermeasure for the propagation of cascading failures, however the diversified mechanism has not been systematically studied. To fill in these gaps, this study aims to develop a pioneering resilience analysis framework against cascading failures, to comprehensively explore the impact of port disruptions on the shipping network resilience. By pioneering the influence analysis of port betweenness, weight, and connectivity on load determination and target selection, a port importance assessment method is applied as the foundation for load redistribution decisions. Based on the global service routes data from 2020 to 2023, the GCSN resilience against the sequential cascading failures of 686 ports worldwide is quantified by three metrics. A scenario analysis is conducted to simulate the effects of cascading failures triggered by 5 historical port disruption events (e.g., the COVID-19 port lockdowns and the 2024 bridge collision at Baltimore port) on resilience of the network. Determining the identified critical capacity threshold is pivotal for effectively enhancing the system’s resilience and preventing the likelihood of cascading failures. Additionally, this study offers cutting-edge perspectives to the global shipping industry stakeholders. It presents distinct strategies and preferences, offering actionable advice for port authorities in their risk response decisions. Moreover, this study delivers an economic rationale and critical evaluations, instrumental for the strategic maintenance, planning and augmentation of port infrastructures to prevent unforeseen risks.
{"title":"Data-driven resilience analysis of the global container shipping network against two cascading failures","authors":"Yuhao Cao , Xuri Xin , Pisit Jarumaneeroj , Huanhuan Li , Yinwei Feng , Jin Wang , Xinjian Wang , Robyn Pyne , Zaili Yang","doi":"10.1016/j.tre.2024.103857","DOIUrl":"10.1016/j.tre.2024.103857","url":null,"abstract":"<div><div>Being a fundamental link in the global supply chain and logistics system, the global container shipping network (GCSN) is highly interconnected, which causes the network resilience challenges by the cascading failures triggered by extreme events (e.g., COVID-19 and regional conflicts). Within this dynamic process, the load redistribution behaviour is the core countermeasure for the propagation of cascading failures, however the diversified mechanism has not been systematically studied. To fill in these gaps, this study aims to develop a pioneering resilience analysis framework against cascading failures, to comprehensively explore the impact of port disruptions on the shipping network resilience. By pioneering the influence analysis of port betweenness, weight, and connectivity on load determination and target selection, a port importance assessment method is applied as the foundation for load redistribution decisions. Based on the global service routes data from 2020 to 2023, the GCSN resilience against the sequential cascading failures of 686 ports worldwide is quantified by three metrics. A scenario analysis is conducted to simulate the effects of cascading failures triggered by 5 historical port disruption events (e.g., the COVID-19 port lockdowns and the 2024 bridge collision at Baltimore port) on resilience of the network. Determining the identified critical capacity threshold is pivotal for effectively enhancing the system’s resilience and preventing the likelihood of cascading failures. Additionally, this study offers cutting-edge perspectives to the global shipping industry stakeholders. It presents distinct strategies and preferences, offering actionable advice for port authorities in their risk response decisions. Moreover, this study delivers an economic rationale and critical evaluations, instrumental for the strategic maintenance, planning and augmentation of port infrastructures to prevent unforeseen risks.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103857"},"PeriodicalIF":8.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684359","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}
Pub Date : 2024-11-17DOI: 10.1016/j.tre.2024.103861
Shiqi Fan , Stephen Fairclough , Abdul Khalique , Alan Bury , Zaili Yang
Decision making (DM) is essential and proven to be a natural and inherent part of the success of transport systems, particularly given the fast growth of autonomous systems in transport. It is critical but remains challenging to understand and predict DM performance in transport, because operators’ mental states have not been effectively considered in complex DM processes such as ship anti-collision operations. This paper proposes an advanced decision support methodology that pioneers the incorporation of objective neurophysiological and subjective data to analyse functional connectivity in the brain and predict DM performance in ship navigation. Experiments were conducted using a functional Near-Infrared Spectroscopy (fNIRS) technology to explore the functional connectivity of two groups (low workload and high workload) and predict their DM performance in a ship collision avoidance situation. It brings brain science into transport engineering and the results generate new contributions to the existing knowledge, including (1) the establishment of a methodology to detect different workload levels in safety–critical transport systems using psychophysiological measurement; (2) analysis of brain’s functional connectivity of different groups of decision makers (e.g., seafarers) with high and low workload tasks; (3) an advanced methodology to assess human reliability in complex scenarios and predict operational behaviours; (4) pioneering a human-centred approach to predict DM performance and demonstrate its feasibility in shipping. From a practical perspective, stakeholders can utilise the findings of this study to rationally evaluate human performance in transport system operations, aiding in operator qualification and certification processes. Furthermore, it is critical for adaptive automation regarding DM support in safety–critical systems.
{"title":"Towards advanced decision-making support for shipping safety: A functional connectivity analysis","authors":"Shiqi Fan , Stephen Fairclough , Abdul Khalique , Alan Bury , Zaili Yang","doi":"10.1016/j.tre.2024.103861","DOIUrl":"10.1016/j.tre.2024.103861","url":null,"abstract":"<div><div>Decision making (DM) is essential and proven to be a natural and inherent part of the success of transport systems, particularly given the fast growth of autonomous systems in transport. It is critical but remains challenging to understand and predict DM performance in transport, because operators’ mental states have not been effectively considered in complex DM processes such as ship anti-collision operations. This paper proposes an advanced decision support methodology that pioneers the incorporation of objective neurophysiological and subjective data to analyse functional connectivity in the brain and predict DM performance in ship navigation. Experiments were conducted using a functional Near-Infrared Spectroscopy (fNIRS) technology to explore the functional connectivity of two groups (low workload and high workload) and predict their DM performance in a ship collision avoidance situation. It brings brain science into transport engineering and the results generate new contributions to the existing knowledge, including (1) the establishment of a methodology to detect different workload levels in safety–critical transport systems using psychophysiological measurement; (2) analysis of brain’s functional connectivity of different groups of decision makers (e.g., seafarers) with high and low workload tasks; (3) an advanced methodology to assess human reliability in complex scenarios and predict operational behaviours; (4) pioneering a human-centred approach to predict DM performance and demonstrate its feasibility in shipping. From a practical perspective, stakeholders can utilise the findings of this study to rationally evaluate human performance in transport system operations, aiding in operator qualification and certification processes. Furthermore, it is critical for adaptive automation regarding DM support in safety–critical systems.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103861"},"PeriodicalIF":8.3,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662097","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}
Pub Date : 2024-11-16DOI: 10.1016/j.tre.2024.103864
Xinmou Zhang , Sandun C. Perera , Jian-Jun Wang , Tao Cai , Varun Gupta
The increasing prevalence of chronic diseases necessitates efficient and accessible healthcare delivery models, making telehealth platforms a promising solution. Telehealth has significantly improved chronic patients’ health by providing convenient, accessible, and personalized care, ultimately reducing hospital readmissions and improving patient outcomes. This research investigates the strategic collaboration between a physical hospital and an internet enterprise in developing a telehealth platform for chronic disease patients’ follow-up visits. We examine how government reimbursement policies and revenue-sharing contracts affect this collaborative model’s optimal pricing and performance. Using a four-stage sequential game theory model, we analyze two specific revenue-sharing contracts: capacity-based and volume-based. The study considers both homogeneous and differentiated reimbursement mechanisms, examining their influence on hospital profits, social welfare, and patient choice. Our findings demonstrate that volume-based contracts facilitate mutually beneficial collaborations, while capacity-based contracts favor hospital profitability. Homogeneous reimbursement has a limited feasible range and results in lower hospital profits and moderate social welfare. Differentiated reimbursement, coupled with the volume-based contract, maximizes social welfare by providing increased reimbursement for online patients and mitigating perceived value differences. This highlights the need for governments to prioritize differentiated reimbursement and volume-based contracts for robust and socially beneficial telehealth platforms. However, enhancing patient trust in the telehealth platform’s medical quality remains crucial for healthcare supply chain development under homogeneous reimbursement.
{"title":"Coordinating telehealth platform with revenue-sharing contracts under different reimbursement mechanisms","authors":"Xinmou Zhang , Sandun C. Perera , Jian-Jun Wang , Tao Cai , Varun Gupta","doi":"10.1016/j.tre.2024.103864","DOIUrl":"10.1016/j.tre.2024.103864","url":null,"abstract":"<div><div>The increasing prevalence of chronic diseases necessitates efficient and accessible healthcare delivery models, making telehealth platforms a promising solution. Telehealth has significantly improved chronic patients’ health by providing convenient, accessible, and personalized care, ultimately reducing hospital readmissions and improving patient outcomes. This research investigates the strategic collaboration between a physical hospital and an internet enterprise in developing a telehealth platform for chronic disease patients’ follow-up visits. We examine how government reimbursement policies and revenue-sharing contracts affect this collaborative model’s optimal pricing and performance. Using a four-stage sequential game theory model, we analyze two specific revenue-sharing contracts: capacity-based and volume-based. The study considers both homogeneous and differentiated reimbursement mechanisms, examining their influence on hospital profits, social welfare, and patient choice. Our findings demonstrate that volume-based contracts facilitate mutually beneficial collaborations, while capacity-based contracts favor hospital profitability. Homogeneous reimbursement has a limited feasible range and results in lower hospital profits and moderate social welfare. Differentiated reimbursement, coupled with the volume-based contract, maximizes social welfare by providing increased reimbursement for online patients and mitigating perceived value differences. This highlights the need for governments to prioritize differentiated reimbursement and volume-based contracts for robust and socially beneficial telehealth platforms. However, enhancing patient trust in the telehealth platform’s medical quality remains crucial for healthcare supply chain development under homogeneous reimbursement.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103864"},"PeriodicalIF":8.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662070","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}
Pub Date : 2024-11-16DOI: 10.1016/j.tre.2024.103850
Jingyuan Tian , Fu Jia , Lujie Chen , Xinjie Xing
The International Sustainability Standards Board’s (ISSB’s) validation of Scope 3 greenhouse gas emissions disclosure requirements represents a pivotal advancement in sustainability reporting. This study examines the implications of this validation for US-listed manufacturing firms’ stock valuations, taking into account the moderating effect of supplier complexity. Employing the event study methodology and cross-sectional regression analysis, our study reveals a positive market response to the ISSB’s validation. Moreover, we observe that supplier concentration complexity and supplier spatial complexity mitigate this positive impact, while supplier horizontal complexity does not exert a significant effect on this positive impact. This highlights the critical role of supply chain optimization in fostering sustainable business practices. Our study contributes to the literature by empirically assessing the impact of Scope 3 emissions disclosure on firm performance and exploring the moderating role of supplier complexity, thereby enhancing our understanding of sustainability disclosures within supply chain operations. Our findings offer crucial insights for manufacturers, investors, and policymakers as they navigate the complex dynamics between sustainability disclosures, supply chain management, and stock valuations.
{"title":"The Impact of ISSB’s Scope 3 GHG Emissions Validation on US Manufacturers’ Stock Valuations: Analyzing the Role of Supplier Complexity","authors":"Jingyuan Tian , Fu Jia , Lujie Chen , Xinjie Xing","doi":"10.1016/j.tre.2024.103850","DOIUrl":"10.1016/j.tre.2024.103850","url":null,"abstract":"<div><div>The International Sustainability Standards Board’s (ISSB’s) validation of Scope 3 greenhouse gas emissions disclosure requirements represents a pivotal advancement in sustainability reporting. This study examines the implications of this validation for US-listed manufacturing firms’ stock valuations, taking into account the moderating effect of supplier complexity. Employing the event study methodology and cross-sectional regression analysis, our study reveals a positive market response to the ISSB’s validation. Moreover, we observe that supplier concentration complexity and supplier spatial complexity mitigate this positive impact, while supplier horizontal complexity does not exert a significant effect on this positive impact. This highlights the critical role of supply chain optimization in fostering sustainable business practices. Our study contributes to the literature by empirically assessing the impact of Scope 3 emissions disclosure on firm performance and exploring the moderating role of supplier complexity, thereby enhancing our understanding of sustainability disclosures within supply chain operations. Our findings offer crucial insights for manufacturers, investors, and policymakers as they navigate the complex dynamics between sustainability disclosures, supply chain management, and stock valuations.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103850"},"PeriodicalIF":8.3,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662069","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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号