{"title":"Integrating crowd-shipping into last-mile delivery: A two-stage stochastic optimization approach","authors":"Shixuan Tang , Wentao Huang , Sisi Jian","doi":"10.1016/j.tre.2025.104342","DOIUrl":null,"url":null,"abstract":"<div><div>Crowd-shipping has emerged as a cost-effective solution to meet the growing demand for urban last-mile delivery. This paper examines the integration of partial crowd-shipping into traditional parcel delivery from the perspective of a delivery company. We explicitly consider both crowd-shipping supply and parcel demand uncertainties, and formulate a parcel delivery problem with crowd-shipping in stochastic programming (PDPCS-SP) that aims to minimize the expected total operational costs. Given the computational complexity of the problem, we develop a heuristic algorithm based on an adaptive large neighborhood search (ALNS) to efficiently solve large-scale instances. Extensive numerical experiments demonstrate the effectiveness and efficiency of the proposed PDPCS-SP model and solution approach, highlighting the potential to enhance the sustainability and economic viability of last-mile delivery operations.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"203 ","pages":"Article 104342"},"PeriodicalIF":8.8000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554525003837","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Crowd-shipping has emerged as a cost-effective solution to meet the growing demand for urban last-mile delivery. This paper examines the integration of partial crowd-shipping into traditional parcel delivery from the perspective of a delivery company. We explicitly consider both crowd-shipping supply and parcel demand uncertainties, and formulate a parcel delivery problem with crowd-shipping in stochastic programming (PDPCS-SP) that aims to minimize the expected total operational costs. Given the computational complexity of the problem, we develop a heuristic algorithm based on an adaptive large neighborhood search (ALNS) to efficiently solve large-scale instances. Extensive numerical experiments demonstrate the effectiveness and efficiency of the proposed PDPCS-SP model and solution approach, highlighting the potential to enhance the sustainability and economic viability of last-mile delivery operations.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.