An On-Demand Dynamic Taxi Crowdshipping Model for Urban Parcel Delivery

IF 1.1 4区工程技术 Q4 MANAGEMENT

Transportation Journal Pub Date : 2023-04-01 DOI:10.5325/transportationj.62.2.0177

Amirhossein Baghestani, S. Najafabadi, Mahdieh Allahviranloo

引用次数: 0

Abstract

Abstract:In this article, a dynamic crowdshipping model is presented to use the vacant space of taxis to deliver parcels while serving passengers. A mixed integer linear programming (MILP) model within a rolling horizon framework that periodically updates input information is formulated. The objective function aims to maximize the number of matched trips while controlling the total travel time in the system. The developed model is tested using the taxi ridership and the household travel survey data in New York City, ensuring the credibility of the proposed model in addressing the goals of the study and its potential application to mitigate transportation externalities.

查看原文本刊更多论文

城市包裹配送的按需动态出租车拥挤运输模型

摘要：本文提出了一种动态众包模型，在为乘客服务的同时，利用出租车的空闲空间运送包裹。建立了滚动时域框架内的混合整数线性规划（MILP）模型，该模型周期性地更新输入信息。目标函数旨在最大化匹配行程的数量，同时控制系统中的总行程时间。使用纽约市的出租车乘客量和家庭出行调查数据对所开发的模型进行了测试，确保了所提出的模型在实现研究目标方面的可信度及其在缓解交通外部性方面的潜在应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Transportation Journal Multiple-

CiteScore

2.40

自引率

4.30%

发文量

期刊介绍： Transportation Journal is devoted to the publication of articles that present new knowledge relating to all sectors of the supply chain/logistics/transportation field. These sectors include supply chain/logistics management strategies and techniques; carrier (transport firm) and contract logistics firm (3PL and 4PL) management strategies and techniques; transport economics; regulation, promotion, and other dimensions of public policy toward transport and logistics; and education.