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Title:

How Different Are Crowd-shipping Users and Non-users?

Accession Number:

01664144

Record Type:

Component

Abstract:

This study distinguishes between crowd-shipping users and non-users using the information of 533 individuals obtained from an online survey conducted in June 2016. The authors develop a proportional test analysis and a binary logit model to explore how and to what extent the attitudes, preferences, and characteristics of crowd-shipping users differ from non-users. The authors examine that crowd-shipping is more prevalent among men, young, and full-time employed individuals. The results of elasticity and sensitivity analyses indicate a one percent increase in the population density increases the chance of using the crowd-shipping by 0.25%. Respondents who agree that crowd-shipping is an eco-friendly system are 83.74% more likely to use it, whereas having no trust toward the system decreases the chance of using it by 60.31%. These likelihoods, however, vary in different population segments. Highly educated individuals who have reservations about trying crowd-shipping because of trust issues are 20% less likely to become a crowd-shipper than less educated individuals. The findings inform crowd-shipping companies of the potential customers, and who should be targeted for user recruitment efforts.

Supplemental Notes:

This paper was sponsored by TRB committee AT025 Standing Committee on Urban Freight Transportation. Alternate title: How Different Are Crowdshipping Users and Nonusers?

Report/Paper Numbers:

18-05587

Language:

English

Authors:

Punel, Aymeric
Ermagun, Alireza
Stathopoulos, Amanda

Pagination:

7p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Subject Areas:

Freight Transportation; Society

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05587

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:25AM