Cycle commuting intention: A model based on theory of planned behaviour and social identity

Lois, Moriano, Rondinella, 2015, in Transportation Research Part F: Traffic Psychology and Behaviour

doi:10.1016/j.trf.2015.05.003
Location Vitoria-Gasteiz, Spain
Population General
Sample size 595
Factor analysis type confirmatory factor analysis, unknown rotation
Stepwise regression no
Removal of insignificant variables no
Reviewed by LCM

Abstract

Although cycling as a mode of transport can provide various important benefits to cities and their transport systems, it accounts for only a small proportion of commuter trips in southern Europe. The aim of this study was to develop a new model based on Ajzen's (1991) theory of planned behaviour (TPB), but including social identity as an additional predictor variable to improve the explanatory capability of the TPB. We conducted a telephone survey of a representative sample of 595 non-cycle commuters in the Spanish city of Vitoria-Gasteiz, which has a moderate proportion of bicycle users (6.9%). Confirmatory factor analysis to test the model showed satisfactory overall measurement fit, and all sub-scales had high reliability and validity coefficients. The findings demonstrated the value of incorporating social identity into the TPB to capture motivational factors relevant to cycle commuting. The relationships between the factors in the model indicated that there is a strong link between identifying as 'a cyclist' and perceived self-efficacy with respect to cycling. Furthermore, the results suggest that a more specific measure of perceived self-efficacy, targeting concrete behaviours could be used to inform development of initiatives to promote urban cycling. Our data also revealed that, excluding control variables such as journey time, economic cost and distance, the psychosocial variables included in the model predicted 32% of the variance in car users' intention to start commuting by bicycle. © 2015 Elsevier Ltd. All rights reserved.

Factors

Models

Dependent variable Behavioral intention to change to commuting by bicycle
Model type Logistic regression
Sample size 299.0
R2 0.32
Adjusted R2
Pseudo R2 (nan) nan
AIC nan
BIC nan
Log-likelihood at zero nan
Log-likelihood at constants nan
Log-likelihood at convergence nan
Variable Odds_ratio p-value
Attitude 1.109 0.001
Subjective norms 1.025 0.109
Self-efficacy 0.916 0.651
Social identity 1.502 0.008
Leisure (habit) 1.084 0.82
Sport (habit) 0.499 0.024
Routine journeys (habit) 1.709 0.228
Gender 0.894 0.803
Age 0.961 0.051
Dependent variable Behavioral intention to change to commuting by bicycle
Model type Logistic regression
Sample size 118.0
R2 0.43
Adjusted R2
Pseudo R2 (nan) nan
AIC nan
BIC nan
Log-likelihood at zero nan
Log-likelihood at constants nan
Log-likelihood at convergence nan
Variable Odds_ratio p-value
Attitude 1.241 0.004
Subjective norms 1.009 0.759
Self-efficacy 0.558 0.186
Social identity 0.9 0.73
Leisure (habit) 1.498 0.437
Sport (habit) 1.417 0.457
Routine journeys (habit) 2.943 0.101
Gender 0.427 0.432
Age 0.934 0.03

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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