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Title:

Selectivity Correction in Discrete-Continuous Models for the Willingness to Work as Crowd-Shippers and Travel Time Tolerance

Accession Number:

01661233

Record Type:

Component

Abstract:

The objective of this study is to understand the different behavioral considerations that govern the choice of people to engage in a crowd-shipping market. Using novel data collected by the researchers in the US, the researchers develop discrete-continuous models. A binary logit model has been used to estimate crowd-shippers’ willingness to work, and an ordinary least-square regression model has been employed to calculate crowd-shippers’ maximum tolerance for shipping and delivery times. A selectivity-bias term has been included in the model to correct for the conditional relationships of the crowd-shipper’s willingness to work and their maximum travel time tolerance. The results show socio-demographic characteristics (e.g. age, gender, race, income, and education level), transporting freight experience, and number of social media usages significant influence the decision to participate in the crowd-shipping market. In addition, crowd-shippers pay expectations were found to be reasonable and concurrent with the literature on value-of-time. Findings from this research are helpful for crowd-shipping companies to identify and attract potential shippers. In addition, an understanding of crowd-shippers - their behaviors, perceptions, demographics, pay expectations, and in which contexts they are willing to divert from their route - are valuable to the development of business strategies such as matching criteria and compensation schemes for driver-partners.

Supplemental Notes:

This paper was sponsored by TRB committee AT015 Standing Committee on Freight Transportation Planning and Logistics. Alternate title: Modeling the Willingness to Work as Crowdshippers.

Report/Paper Numbers:

18-02610

Language:

English

Authors:

Le, Tho V
Ukkusuri, Satish V

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

Subject Areas:

Freight Transportation; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-02610

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:37AM