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Title:

The Relationship Between Satisfaction with Life and Discretionary Travel: A Structural Equations Model Approach

Accession Number:

01558348

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper explores the relationship between satisfaction with life, social networks and discretionary travel behavior through the use of structural equation modeling (SEM). Discretionary travel, especially travel that can be considered to be made to perform social activity, tends to be non-regular and the trips are not necessarily cyclical in nature. That is, people may not always make these trips at the same time of the day or on the same day every week. The authors propose that these trips are likely to be avoided by individuals under adverse socioeconomic conditions, putting them at risk of being excluded and negatively affecting their well-being and satisfaction levels. The relationship between satisfaction with life and discretionary travel is explored aiming to discover whether unhappier individuals tend to make less non-mandatory trips and to understand the underlying factors of why this might happen. The results show that a relationship between subjective well-being and travel behavior exists, through both direct and indirect effects.

Supplemental Notes:

This paper was sponsored by TRB committee ADD20 Social and Economic Factors of Transportation. Alternate title: Relationship Between Satisfaction with Life and Discretionary Travel: Structural Equation Model Approach

Monograph Accession #:

01550057

Report/Paper Numbers:

15-5640

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

de Abreu e Silva, João
Pritchard, John Pelayo
Moura, Filipe

Pagination:

15p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Subject Areas:

Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-5640

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:54PM