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Title:

Applying Multilevel MNL Model to Analyse Land Use Influence Mode Choice Behaviour in Taiwan

Accession Number:

01590274

Record Type:

Component

Abstract:

This study introduced a multilevel MNL model to explore the unobserved spatial heterogeneity and the impact of land use and public transport provision at district and city/county levels on mode choice between car, motorbike and public transport in Taiwan. The study found that the unobserved spatial heterogeneity does exert significant effects on mode choice behaviour. In addition, by comparing the results from a single-level MNL model and the multilevel MNL model, it was shown that the multilevel MNL model has a better fit but also provides evidence that neglecting the spatial autocorrelation and spatial heterogeneity could create misleading results. This study also found that, in Taiwan, higher population density at the district and city/county levels is associated with a higher probability of choosing public transport over the car and motorbike. However, more diversified land uses and more grid-like street patterns are associated with a higher probability of motorbike use. These results may contribute to planning motorbike management strategies, amongst others, for Southeast Asian countries.

Supplemental Notes:

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values. Alternate title: Applying Multilevel MNL Model to Analyze Land Use and Public Transport Provision Influence on Mode Choice Behavior

Monograph Accession #:

01584066

Report/Paper Numbers:

16-3632

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Liu, Chien-Pang
Titheridge, Helena

Pagination:

21p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Maps; References; Tables

Geographic Terms:

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-3632

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:35PM