Modeling package delivery acceptance in Crowdshipping systems by Public Transportation Passengers: A latent class approach

• DOI: 10.1016/j.tbs.2023.100716
• Publication Date: 2023-11-28T18:38:13Z
• Authors: Seyed Sina Mohri; Neema Nassir; Patricia Sauri La...; Russell G. Thomps...

The subject of this research is to model the probability accepting package delivery tasks in Crowd-Shipping (CS) systems focusing on shipping packages by Public Transportation (PT) passengers. Real-world implementation such a PT-based CS initiative requires proper grasp behavior crowd shippers, receivers, and senders, among which crowdshippers are at center attention. Given survey data collected from 2,208PT passengers Sydney metropolitan area, study constructs for task acceptance PT who express willingness participate as crowdshippers. A Latent Class (LC) choice developed estimated explore different classes participant characteristics preferences tasks, under levels offered incentive, weight, required detour distance destination. As key finding, identifies three classes, namely "leisurely", "avid", "skeptical" users with class sizes 19%, 53%, 28%, respectively. Leisurely tend be majorly employed relatively higher ages lower trip frequency per month. This shows potential desire take long they not logistically burdensome. Avid users, forming largest population, mostly younger less sensitive difficulty might accept even minimum incentives (around AU$3). Skeptical displaying high month income, unwilling unless get compensated well.