Choice-based crowdshipping: A dynamic task display problem

• Main Authors: ARSLAN, Alp, KILCI, Firat, CHENG, Shih-Fen, MISRA, Archan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Crowdsourced Delivery; Drivers' Autonomy; Choice models; Last-mile Logistics; Operations and Supply Chain Management; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7356; https://ink.library.smu.edu.sg/context/sis_research/article/8359/viewcontent/Choice_basedCrowdshipping_wp_202209.pdf
• Institution: Singapore Management University

This paper studies the integration of the crowd workforce into a generic last-mile delivery setting in which a set of known delivery requests should be fulfilled at a minimum cost. In this setting, the crowd drivers are able to choose to perform a parcel delivery among the available and displayed re...