Understanding Travelers' Willingness to Participate in Crowd-Sourced Parcel Delivery Based on a Stated Adaptation Choice Experiment

This study explores factors influencing travelers' willingness to participate in Crowd-sourced Parcel Delivery (CPD), an emerging concept blending passengers and parcel delivery services. To assess the feasibility and potential of crowdshipping, a stated adaptation choice experiment was conducted, offering two unlabeled options adapted with the reported trips of respondents, plus the possibility of rejecting the request. A random parameter logit model is employed to capture the variation in preference across individuals, providing insights into the heterogeneity of different types of travelers. The results reveal that socio-demographics, trip characteristics (such as transport modes and the number of trip legs), and CPD attributes (such as detours and monetary incentives) significantly influence CPD acceptance. These findings offer valuable guidance for designers and planners in the initial development of CPD platforms and can help to foster the success and future growth of crowdshipping initiatives.

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Publication Details

Published
2025-09-08
DOI
https://doi.org/10.1109/mt-its68460.2025.11223522
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
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article

Understanding Travelers' Willingness to Participate in Crowd-Sourced Parcel Delivery Based on a Stated Adaptation Choice Experiment

Melvin Wong, Soora Rasouli, Dayong Zhou
Urban and Freight Transport Logistics
article

Understanding Travelers' Willingness to Participate in Crowd-Sourced Parcel Delivery Based on a Stated Adaptation Choice Experiment

Melvin Wong, Soora Rasouli, Dayong Zhou
article en

Abstract

This study explores factors influencing travelers' willingness to participate in Crowd-sourced Parcel Delivery (CPD), an emerging concept blending passengers and parcel delivery services. To assess the feasibility and potential of crowdshipping, a stated adaptation choice experiment was conducted, offering two unlabeled options adapted with the reported trips of respondents, plus the possibility of rejecting the request. A random parameter logit model is employed to capture the variation in preference across individuals, providing insights into the heterogeneity of different types of travelers. The results reveal that socio-demographics, trip characteristics (such as transport modes and the number of trip legs), and CPD attributes (such as detours and monetary incentives) significantly influence CPD acceptance. These findings offer valuable guidance for designers and planners in the initial development of CPD platforms and can help to foster the success and future growth of crowdshipping initiatives.

Eindhoven University of Technology (NL)
Openalex Percentile: Top 63%
Urban and Freight Transport Logistics
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