Wen Ji , Shenglin Liu , Ke Han , Yanfeng Li , Tao Liu
{"title":"混合乘车和物流车辆的共享乘车问题","authors":"Wen Ji , Shenglin Liu , Ke Han , Yanfeng Li , Tao Liu","doi":"10.1016/j.tre.2024.103758","DOIUrl":null,"url":null,"abstract":"<div><p>An extension of the Share-a-Ride Problem is proposed, which explores the coordination of ride-hailing vehicles (RVs) and logistic vehicles (LVs) for integrated passenger and parcel service. The goal is to investigate the extent to which RVs can increase profits and logistic companies can reduce operational costs, via information sharing and vehicle coordination. A new optimization problem, termed the <u>S</u>hare-<u>a</u>-<u>R</u>ide <u>p</u>roblem with <u>r</u>ide-hailing and <u>l</u>ogistic vehicles (SARP-RL), simultaneously determines the LV fleet size and passenger/parcel request assignment, assuming that passenger requests can only be served by RVs while parcel requests can be served by both RVs and LVs. The goal is to maximize the total RV profits while minimizing logistic costs. An exact solution framework is proposed by (1) generating all trips for the entire set of passenger and parcel requests via an efficient enumeration method; and (2) finding Pareto-optimal solutions of the bi-objective problem via an <span><math><mi>ɛ</mi></math></span>-constraint method. A case study of the Manhattan network demonstrates the solution characteristics of SARP-RL. The results indicate that: (a) the SARP-RL can increase total RV profits by 11.93%–27.65% and reduce logistic costs by 47.63%–81.06%. (b) The novel enumeration method achieves computational savings by over 80% compared to Alonso-Mora et al. (2017) approach. (c) Key factors influencing the performance of SARP-RL include the RV fleet size, spatial distribution of parcel requests, passenger/parcel request ratio, unit price of transport service, vehicle capacity, and passenger service requirements, which are quantitatively analyzed to offer managerial insights for real-world implementation.</p></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":null,"pages":null},"PeriodicalIF":8.3000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Share-a-Ride Problem with mixed ride-hailing and logistic vehicles\",\"authors\":\"Wen Ji , Shenglin Liu , Ke Han , Yanfeng Li , Tao Liu\",\"doi\":\"10.1016/j.tre.2024.103758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>An extension of the Share-a-Ride Problem is proposed, which explores the coordination of ride-hailing vehicles (RVs) and logistic vehicles (LVs) for integrated passenger and parcel service. The goal is to investigate the extent to which RVs can increase profits and logistic companies can reduce operational costs, via information sharing and vehicle coordination. A new optimization problem, termed the <u>S</u>hare-<u>a</u>-<u>R</u>ide <u>p</u>roblem with <u>r</u>ide-hailing and <u>l</u>ogistic vehicles (SARP-RL), simultaneously determines the LV fleet size and passenger/parcel request assignment, assuming that passenger requests can only be served by RVs while parcel requests can be served by both RVs and LVs. The goal is to maximize the total RV profits while minimizing logistic costs. An exact solution framework is proposed by (1) generating all trips for the entire set of passenger and parcel requests via an efficient enumeration method; and (2) finding Pareto-optimal solutions of the bi-objective problem via an <span><math><mi>ɛ</mi></math></span>-constraint method. A case study of the Manhattan network demonstrates the solution characteristics of SARP-RL. The results indicate that: (a) the SARP-RL can increase total RV profits by 11.93%–27.65% and reduce logistic costs by 47.63%–81.06%. (b) The novel enumeration method achieves computational savings by over 80% compared to Alonso-Mora et al. (2017) approach. (c) Key factors influencing the performance of SARP-RL include the RV fleet size, spatial distribution of parcel requests, passenger/parcel request ratio, unit price of transport service, vehicle capacity, and passenger service requirements, which are quantitatively analyzed to offer managerial insights for real-world implementation.</p></div>\",\"PeriodicalId\":49418,\"journal\":{\"name\":\"Transportation Research Part E-Logistics and Transportation Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2024-09-09\",\"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/S1366554524003491\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554524003491","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
The Share-a-Ride Problem with mixed ride-hailing and logistic vehicles
An extension of the Share-a-Ride Problem is proposed, which explores the coordination of ride-hailing vehicles (RVs) and logistic vehicles (LVs) for integrated passenger and parcel service. The goal is to investigate the extent to which RVs can increase profits and logistic companies can reduce operational costs, via information sharing and vehicle coordination. A new optimization problem, termed the Share-a-Ride problem with ride-hailing and logistic vehicles (SARP-RL), simultaneously determines the LV fleet size and passenger/parcel request assignment, assuming that passenger requests can only be served by RVs while parcel requests can be served by both RVs and LVs. The goal is to maximize the total RV profits while minimizing logistic costs. An exact solution framework is proposed by (1) generating all trips for the entire set of passenger and parcel requests via an efficient enumeration method; and (2) finding Pareto-optimal solutions of the bi-objective problem via an -constraint method. A case study of the Manhattan network demonstrates the solution characteristics of SARP-RL. The results indicate that: (a) the SARP-RL can increase total RV profits by 11.93%–27.65% and reduce logistic costs by 47.63%–81.06%. (b) The novel enumeration method achieves computational savings by over 80% compared to Alonso-Mora et al. (2017) approach. (c) Key factors influencing the performance of SARP-RL include the RV fleet size, spatial distribution of parcel requests, passenger/parcel request ratio, unit price of transport service, vehicle capacity, and passenger service requirements, which are quantitatively analyzed to offer managerial insights for real-world implementation.
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.