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Title:

Modeling the Propensity to Join Carsharing Using Hybrid Choice and Latent Variable Models and Mixed Internet/Paper Survey Data

Accession Number:

01519975

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Carsharing is a sustainable, alternative transportation mode, easily implemented at local level. Its service combines characteristics from both private and public transportation, rendering it attractive to specific groups of commuters. In order to increase the demand for carsharing and optimize its operation, the characteristics of the potential users should be investigated. In this paper, the propensity of people to join a carsharing scheme is being modeled using mixed Internet and paper survey data. An ordered logit model is developed, with dependent variable the stated propensity of young Greeks to join carsharing and explanatory demographic characteristics and travel attributes. The satisfaction of the commuters about the current travel patterns is considered as latent variable in the modeling framework. The aim of combining the two datasets is to measure the difference of the variance of the error term generated from the paper and Internet respondents, who are prone to be positive in their responses in order to satisfy the interviewer. This is verified in the current research by the positive sign of the scale parameter applied at the utility function of the Internet-based data. The use of latent classes enhances the model estimation, by measuring the parameters that determine the respondents’ unobserved, underlying behaviors. The results show that people who use taxi for social activity, are of medium to low income and environmental conscious, are more willing to joint the scheme. The results are compared with a 2013 study, in order to identify the advantages of using this advanced modeling framework.

Supplemental Notes:

This paper was sponsored by TRB committee AP020 Emerging and Innovative Public Transport and Technologies.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-2512

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Efthymiou, Dimitrios
Antoniou, Constantinos

Pagination:

19p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-2512

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:52PM