TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Travel Mode Choice and Residential-Workplace Location Preference in Kunming: A Binomial-Logit Based Copula Analysis

Accession Number:

01478378

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Transport related environment deterioration, energy consumption and greenhouse gas emission is attracting the attention of many countries. In rapid developing countries like China, newly developed satellite towns around big cities attract people to move in by lower housing prices and better environment. However, longer commute distance tends to make people depend on motorized mode and causes environment and traffic problems. How many people will accept the separation of residential and work place? Does it have relationship with current travel mode and vehicle ownership? To answer these questions, it is important to understand the factors that affect travel mode choice and residential location choice. In this study, travel modes are categorized as private motorized transport, and other transport, which includes public transport, walk, bicycle and e-bike. Based on Logit model, which is widely used in mode choice and policy analysis, and copula method, newly used in dependence study, the authors try to explore the dependence between the travel mode and residential location choice implied by unobservable factors.

Supplemental Notes:

This paper was sponsored by TRB committee ABE90 Transportation in the Developing Countries.

Monograph Accession #:

01470560

Report/Paper Numbers:

13-4418

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Zhanqiong, He
Min, He
Sriboonchita, Songsak

Pagination:

14p

Publication Date:

2013

Conference:

Transportation Research Board 92nd Annual Meeting

Location: Washington DC, United States
Date: 2013-1-13 to 2013-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Candidate Terms:

Copula-based models

Geographic Terms:

Kunming (China)

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2013 Paper #13-4418

Files:

TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:51PM