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Title:

A Latent Class Transition Model of Interactions Between the Built Environment, Travel Attitudes and Travel Behavior

Accession Number:

01658043

Record Type:

Component

Abstract:

Travel-related attitudes and dissonance between people’s attitudes and the characteristics of the residential built environment are believed to play an important role in the effectiveness of land use policies that aim to influence travel behaviour. To date, research on the nature and directions of causality on the links between these variables has been hindered by the lack of longitudinal approaches. This article presents a longitudinal latent class transition model. Relationships between the distance to the nearest railway station, travel mode-related attitudes and travel behaviour are analysed. Results reveal mixed patterns with consonant and dissonant classes at different distances from the railway station. The authors found no gradual increases in favourable attitudes for public transport or cycling at closer proximity to the railway station and subgroups that use these sustainable modes of transportation more often live up to three kilometres from the nearest railway station. These patterns remain relatively stable over time. This implies that it is not necessary to densify within close proximity to railway stations to encourage sustainable travel behaviour. Developing bicycle-friendly neighbourhoods up to three kilometres from a railway station, and providing good connections by public transport and bicycle, is also effective.

Supplemental Notes:

This paper was sponsored by TRB committee ADD30 Standing Committee on Transportation and Land Development. Latent Class Transition Model of Interactions Between the Built Environment, Travel Attitudes, and Travel Behavior: This is an alternate title.

Report/Paper Numbers:

18-00519

Language:

English

Authors:

van de Coevering, Paul
Maat, Kees
van Wee, Bert

Pagination:

18p

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:

Latent class models

Subject Areas:

Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-00519

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:08AM