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

{"title":"Location analysis of parcel locker Network: Effects of spatial characteristics on operational performance","authors":"Bohao Ma,&nbsp;Chee-Chong Teo,&nbsp;Yiik Diew Wong","doi":"10.1016/j.tre.2024.103776","DOIUrl":"10.1016/j.tre.2024.103776","url":null,"abstract":"<div><p>Parcel lockers are automated self-collection stations commonly used for e-commerce deliveries. It has emerged as a promising solution that overcomes the operational and sustainability challenges arising from Last-Mile Delivery. In collaboration with a major Singapore-based parcel locker operator and using their nationwide operational data, we study the implications of parcel locker’s spatial accessibility on their operational performance, namely demands and users’ time-to-pickup. Instead of measuring spatial accessibility by straight-line distances, we extend the concept by incorporating a more comprehensive set of spatial factors with the adoption of the 5Ds walkability framework. The framework systematically depicts the interplay between spatial factors and individuals’ walking behaviors that are directly related to their parcel locker usage. Positive correlations between population size, street connectivity, availability of living amenities, and bus stops in proximity of parcel lockers versus the demands are observed. In a similar vein, significant correlations between availabilities of living amenities and transit facilities versus consumers’ time-to-pickup are noted. The findings support the positive contribution of trip comfort to parcel lockers’ demands, while also demonstrating the paradoxical effects of trip-chaining convenience, which boosts demand but delays the pickup process. The study contributes to the literature by establishing linkage between spatial measurements and operational performance of parcel lockers with real-life operational data, which complements prior research that primarily relies on survey data. Besides, the study is the first to characterize the time-to-pickup, a critical parameter for network design and delivery operations.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing multi-attribute pricing plans with time- and location-dependent rates for different carsharing user profiles","authors":"Masoud Golalikhani ,&nbsp;Beatriz Brito Oliveira ,&nbsp;Gonçalo Homem de Almeida Correia ,&nbsp;José Fernando Oliveira ,&nbsp;Maria Antónia Carravilla","doi":"10.1016/j.tre.2024.103760","DOIUrl":"10.1016/j.tre.2024.103760","url":null,"abstract":"<div><p>One of the main challenges of one-way carsharing systems is to maximize profit by attracting potential customers and utilizing the fleet efficiently. Pricing plans are mid or long-term decisions that affect customers’ decision to join a carsharing system and may also be used to influence their travel behavior to increase fleet utilization e.g., favoring rentals on off-peak hours. These plans contain different attributes, such as registration fee, travel distance fee, and rental time fee, to attract various customer segments, considering their travel habits. This paper aims to bridge a gap between business practice and state of the art, moving from unique single-tariff plan assumptions to a realistic market offer of multi-attribute plans. To fill this gap, we develop a mixed-integer linear programming model and a solving method to optimize the value of plans’ attributes that maximize carsharing operators’ profit. Customer preferences are incorporated into the model through a discrete choice model, and the Brooklyn taxi trip dataset is used to identify specific customer segments, validate the model’s results, and deliver relevant managerial insights. The results show that developing customized plans with time- and location-dependent rates allows the operators to increase profit compared to fixed-rate plans. Sensitivity analysis reveals how key parameters impact customer choices, pricing plans, and overall profit.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S136655452400351X/pdfft?md5=4d77f59ef555e9eb910f80c8646aab74&pid=1-s2.0-S136655452400351X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242357","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":"Green subsidy Strategies and fairness concern in a Capital-Constrained supply chain","authors":"Huamin Wu ,&nbsp;Jiaxiang Weng ,&nbsp;Guo Li ,&nbsp;Hong Zheng","doi":"10.1016/j.tre.2024.103693","DOIUrl":"10.1016/j.tre.2024.103693","url":null,"abstract":"<div><p>This study investigates a decentralized capital-constrained green supply chain consisting of a capital-constrained manufacturer and a retailer, wherein the manufacturer is dependent on the retailer by funding his operations and invests in green technology development to manufacture green products. To enhance the degree of product greening, the retailer may launch a subsidy to incentivize the manufacturer. We specifically consider three widely adopted green subsidy strategies by the retailer, namely, price-increasing strategy (Strategy PI), interest-reducing strategy (Strategy IR), and cost-sharing strategy (Strategy CS). Our results reveal that the preferred strategy for the retailer and manufacturer is either Strategy CS or IR, while Strategy PI cannot be the dominant strategy. In specific, when the interest-reducing proportion is low, both the manufacturer and retailer prefer Strategy CS; otherwise, Strategy IR will be preferred by both the retailer and manufacturer. Our study further studies the scenario in which the retailer has a fairness concern. The results indicate that such a concern can weaken the manufacturer’s incentive to improve the degree of product greening and strengthen the retailer’s incentive to embrace Strategy CS. More interestingly, the fairness concern can enhance the performance of the entire supply chain under certain conditions. Specifically, when the level of fairness concern is low, fairness concern is detrimental to the entire supply chain. However, when the level of fairness concern is high, fairness concern is beneficial for the entire supply chain.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142243109","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 interaction between manufacturer’s showroom deployment and online selling formats","authors":"Yan Chen ,&nbsp;Tao Zhang ,&nbsp;Gang Li ,&nbsp;Wei Wang","doi":"10.1016/j.tre.2024.103773","DOIUrl":"10.1016/j.tre.2024.103773","url":null,"abstract":"<div><p>Many manufacturers selling through online retail platforms are deploying physical showrooms to facilitate consumers’ learning about their products. To uncover the effects of the manufacturer-deployed showrooms on participants in a platform-based distribution channel, we establish a game-theoretic model wherein a manufacturer sells through an online retailer under either agency selling or wholesale selling, and consumers decide sequentially on showrooming and purchasing. We find that, firstly, despite the merits of showrooms in resolving consumers’ valuation uncertainty, the deployment of showrooms may unexpectedly engender more product returns (i.e., return exacerbation effect), which hurts the retailer under wholesale selling when the consumers’ travel cost is moderate. Second, the manufacturer under each selling format tends to benefit (suffer) from showrooms in the case of low (high) travel cost; in addition, the decrease in commission rate boosts the gain from showroom deployment, making the manufacturer under agency selling more likely to deploy showrooms, especially when the travel cost is moderate. Third, in anticipation of the manufacturer’s (not) deploying showrooms and the corresponding profit impacts, the channel members may adopt varying preferences for the selling format. Notably, they have aligned preferences for agency selling with medium low commission rate, while neither prefers agency selling with relatively high commission rate and travel cost. This study sheds light on the flourishing practice of manufacturer-deployed showrooms, clarifying their impacts on the platform-based distribution channel.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232937","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":"Manufacturers’ efforts and platform’s demand information sharing in eco-friendly actions","authors":"Xiaogang Lin ,&nbsp;Ying-Ju Chen ,&nbsp;Hui Xiong","doi":"10.1016/j.tre.2024.103775","DOIUrl":"10.1016/j.tre.2024.103775","url":null,"abstract":"<div><p>More and more consumers have an awareness of environmental protection, and platforms and manufacturers invest in eco-friendly operating and manufacturing to stimulate demand and fulfill their social responsibilities. Our paper investigates whether the platform should share her private demand information with two manufacturers in the reselling or agency selling. The manufacturers offer consumers two substitutable products through the platform. By incorporating eco-friendly efforts into our game-theoretic model, we show that information sharing always benefits manufacturers when the platform serves as a reseller. However, hiding information is preferable for the platform, considering the low efficiency of eco-friendly investment. For the platform, she is willing to disclose information to one or both manufacturers with relatively high efficiency. Nevertheless, the platform is willing to disclose information to both manufacturers (only one manufacturer) when the efficiency is low (high) in the agency selling. Moreover, when manufacturers compete more intensely on eco-friendly levels, the platform is more likely to disclose information to one or both manufacturers in the reselling, but more intense competition for eco-friendly levels prevents the platform from disclosing information to more manufacturers in the agency selling. Furthermore, both manufacturers’ eco-friendly levels always respond positively to the demand signal. Finally, we consider the disparity in carbon emissions between green and non-green manufacturers in the extension. We find that disclosing the demand information to both manufacturers is more efficient in reducing carbon emissions than sharing with only one manufacturer.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229287","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":"Parking policy design for managing morning commute with dedicated autonomous vehicle lane","authors":"Li-Jun Tian ,&nbsp;Zhe-Yi Tang ,&nbsp;Peng Liu ,&nbsp;Hai-Jun Huang","doi":"10.1016/j.tre.2024.103746","DOIUrl":"10.1016/j.tre.2024.103746","url":null,"abstract":"<div><p>The advent of autonomous vehicles (AVs) with self-parking capability puts forward new requirements for parking policy and management. In a transportation system with both general and dedicated AV lanes, this work aims to examine and compare the effectiveness of different parking policies on the morning commute. To be specific, three policies of parking space allocation, namely, first-come-first-service (FCFS), advanced reservation (AR), and their combination (CB), are proposed to guide the commuters’ travel choices. Commuters can drive regular vehicles (RVs) alone on the general lane or ridesharing shared autonomous vehicles (SAVs) on the dedicated AV lane. The occurrence conditions and the resultant SAV penetration rates for various scenarios under three parking policies are revealed. The area division for various scenarios with respect to two key parameters is presented, and the typical departure patterns are plotted as well. The numerical results clarify that the CB policy always has a better effect on the total travel cost than FCFS and AR policies. The optimal CB policy is quantified in terms of the optimal amount of all parking spaces and the proportion of unreserved parking spaces. These findings help to improve the spatial and temporal distribution of traffic flow and allocate transportation resources efficiently in the coming era of autonomous driving.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142229288","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 bi-level approach for optimal vehicle relocating in Mobility-On-Demand systems with approximate dynamic programming and coverage control","authors":"Yunping Huang ,&nbsp;Pengbo Zhu ,&nbsp;Renxin Zhong ,&nbsp;Nikolas Geroliminis","doi":"10.1016/j.tre.2024.103754","DOIUrl":"10.1016/j.tre.2024.103754","url":null,"abstract":"<div><p>For Mobility-on-Demand systems, the imbalance between vehicle supply and demand is a long-standing challenge, leading to losses of orders and long waiting times. Relocating idle vehicles to high-demand regions can enhance system efficiency, thus improving the quality of service. Enforcing vehicle relocation via either link-node or grid-based representation makes it hard to capture the interrelated dynamics with private vehicles while being computationally intensive. The macroscopic fundamental diagram (MFD) provides a powerful tool to model the interrelated dynamics while individual vehicle details may be absent in the regional-level representation. Therefore, we propose a bi-level rebalancing scheme to maximize the served orders in the system. The urban area is first partitioned into several subregions. For the upper level, the interrelated dynamics of private vehicles and on-demand vehicles are modeled based on the MFD. Then a stochastic programming problem is formulated and solved using Approximate Dynamic Programming (ADP) to determine the number of desired vehicles in each subregion and cross-border. For the lower level, a Voronoi-based distributed coverage control algorithm is implemented by each vehicle to obtain position guidance efficiently. The bi-level framework is evaluated on a simulator of the real road network of Shenzhen, China. Simulation results demonstrate that, compared to other policies, the proposed approach can serve more requests with less waiting time.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1366554524003454/pdfft?md5=7873a03ba427cc2855082f28eb638068&pid=1-s2.0-S1366554524003454-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142173213","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":"Enabling net-zero shipping: An expert review-based agenda for emerging techno-economic and policy research","authors":"Kannan Govindan ,&nbsp;Rubal Dua ,&nbsp;AHM Mehbub Anwar ,&nbsp;Prateek Bansal","doi":"10.1016/j.tre.2024.103753","DOIUrl":"10.1016/j.tre.2024.103753","url":null,"abstract":"<div><p>The topic of net-zero shipping is emerging as a global priority. Given the projected increase in the shipping sector’s contributions to climate change, understanding the emerging research challenges for enabling net-zero shipping is critical. We address this research need by outlining key techno-economic and policy research priorities for achieving effective and equitable net-zero shipping. We use a three-step approach to achieve it. We begin by translating contemporary media issues to techno-economic and policy research challenges, followed by corroborating these identified research challenges with academic literature, and finally prioritizing them by consulting an array of maritime experts in policy, technology, fuel, and infrastructure fields. Our results delineate eleven overarching themes, among which the top four prioritized research challenges based on expert input are: (i) cost-benefit analyses of port initiatives aimed at facilitating maritime climate action; (ii) the investment and techno-economic aspects of onboard carbon capture and alternative shipping fuels, along with green shipping corridors’ potential to facilitate alternative fuel adoption, and (iii &amp; iv) the complex interaction of climate, economic, and socio-political factors in shipping carbon pricing implementation as part of ongoing negotiations at the International Maritime Organization (IMO) and shipping’s inclusion in the EU Emissions Trading System (ETS). The outlined priorities are significant as they could guide future industrial and academic research in generating actionable recommendations for policymakers and industry stakeholders, thereby expediting the formulation of focused approaches for an effective and fair transition to net-zero shipping. In terms of future research, the dynamic nature of emerging issues in achieving net-zero shipping suggests that findings may necessitate ongoing updates.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1366554524003442/pdfft?md5=f572b119e9fc6a212a01bb526c05a866&pid=1-s2.0-S1366554524003442-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167375","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":"Generative AI usage and sustainable supply chain performance: A practice-based view","authors":"Lixu Li ,&nbsp;Wenwen Zhu ,&nbsp;Lujie Chen ,&nbsp;Yaoqi Liu","doi":"10.1016/j.tre.2024.103761","DOIUrl":"10.1016/j.tre.2024.103761","url":null,"abstract":"<div><p>The emergence of generative AI presents numerous potential solutions to address challenges in sustainable supply chain management (SCM). However, not all firms can effectively master the methods of using generative AI and realize potential benefits. To address this dilemma, we adopt a practice-based view (PBV) to examine generative AI usage’s effect on sustainable supply chain performance (SSCP). Analyzing survey data from 213 Chinese manufacturing firms, we identify a positive relationship between generative AI usage and SSCP. Moreover, two types of sustainable supply chain practices—green supply chain collaboration (GSCC) and circular economy implementation (CEI)——emerge as serial mediators connecting this relationship. We contribute to existing AI-enabled SCM research by elucidating the potential mediation mechanisms underlying the link between generative AI usage and SSCP. We also offer insightful implications for firms adapting to new norms in global SCM.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167374","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":"Freight train line planning for large-scale high-speed rail network: An integer Benders decomposition-based branch-and-cut algorithm","authors":"Shengdong Li ,&nbsp;Dajie Zuo ,&nbsp;Wenqing Li ,&nbsp;Yongxiang Zhang ,&nbsp;Li Shi","doi":"10.1016/j.tre.2024.103750","DOIUrl":"10.1016/j.tre.2024.103750","url":null,"abstract":"<div><p>This paper aims to study and address the problem of completely re-scheduling high-speed freight train line plans under the conditions of a large-scale network, particularly for direct freight trains between central network nodes. First, we constructed a line pool of candidate trains. Then, considering constraints such as flow balance, station capacity, and train transport capacity, we formulated an integer programming model with 0–1 variables. The objective is to minimize train operation costs and freight transfer fees, determining the origin and destination stations and the operating frequency of freight trains. To address the structural characteristics of the model, an integer Benders decomposition-based branch-and-cut algorithm (IBD-BCA) is proposed. This algorithm, within the framework of branch-and-bound, solves the master problem decomposed by Benders and adds two sets of integer Benders cuts to achieve the optimal solution of the model. To demonstrate the effectiveness and performance of the model and algorithm, numerical experiments were conducted based on actual data from the main high-speed railway network in China. The results show that the IBD-BCA in this study can obtain optimal solutions within a reasonable time and requires adding a relatively small number of cuts during the search process. Compared with branch-and-bound algorithms and direct solving using Gurobi, the IBD-BCA proposed maintains sufficient efficiency when dealing with large-scale problems. Additionally, sensitivity analyses of parameters such as capacity and costs validate the robustness and scalability of the presented model and algorithm.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142164140","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}