The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public

Şimşekoğlu, Nordfjærn b, and Rundmo, 2015, in Transport Policy

doi:10.1016/j.tranpol.2015.05.019
Location Norway
Population General
Sample size 546
Factor analysis type principal components, varimax rotation
Stepwise regression nan
Removal of insignificant variables yes
Reviewed by MWC

Abstract

The present study aims to identify clusters of transport users and to examine the role of transport priorities, travel mode use attitudes, and car use habit on travel mode use. An additional aim is to test whether such factors predict intentions to use public transport and reported use of public transport. Data were collected via a self-completion questionnaire survey conducted in June and August 2013. Participants included a total of 1039 people who were randomly selected from the urban regions of Norway using the Norwegian population registry. Due to missing data on travel mode use variables the analyses were conducted with 546 observed cases. Two clusters of transport users were identified; individuals who primarily use public and health-promoting transport (e.g. public transportation users, bicyclists) and car users. Logistic regression analysis showed that older age, strength of the car use habit, and priorities of flexibility (e.g. prioritize being able to choose the exact time of travel) increased the odds of car use. Structural Equation Modeling showed that priority of convenience, priority of safety and security, and favorable attitudes towards public transport use were positive predictors of intentions to use public transportation, while car use habit was a negative predictor of both intentions to use public transportation and reported public transportation use. Traffic safety campaigns aiming to increase public transportation use in the urban Norwegian public could focus on increasing the attractiveness of public transport, particularly by improving flexibility of such transport.

Factors

Variable Pattern loading
nan () nan
Variable Pattern loading
nan () nan
Variable Pattern loading
nan () nan
Variable Pattern loading
nan () nan
Variable Pattern loading
nan () nan
Variable Pattern loading
nan () nan

Models

Dependent variable Car use cluster membership
Model type Logistic regression
Sample size 546.0
R2 nan
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
Sex 0.84 >0.05
Age 1.03 <0.05
Travel time from home to nearest transport service 1.01 >0.05
Travel time from your workplace/school/educational institution to the nearest public transport service 0.99 >0.05
Distance between your home and your workplace/school/educational institution 0.99 >0.05
Education 1.34 >0.05
Access to private car 0.29 >0.05
Income 1.2 >0.05
Priority of safety and security 0.9 >0.05
Priority of convenience 0.88 >0.05
Priority of flexibility 1.27 <0.05
Self-determined attitudes 0.97 >0.05
Social status related attitudes 0.7 >0.05
Car use habit 10.94 0
Source variable Target variable Effect p-value Effect type
Priority of flexibility Intentions to use public transport -0.03 >0.001 direct_effect
Priority of convenience Intentions to use public transport 0.1 <0.001 direct_effect
Priority of safety and security Intentions to use public transport 0.1 <0.001 direct_effect
Attitudes Self-determined attitudes 0.8 <0.001 direct_effect
Attitudes Social status related attitudes 0.49 <0.001 direct_effect
Attitudes Intentions to use public transport 0.22 <0.001 direct_effect
Car use habit Intentions to use public transport -0.3 <0.001 direct_effect
Car use habit Public transportation use in last two weeks -0.23 <0.001 direct_effect
Intentions to use public transport Public transportation use in last two weeks 0.45 <0.001 direct_effect
Age Public transportation use in last two weeks -0.16 <0.001 direct_effect
Gender Public transportation use in last two weeks 0.05 >0.001 direct_effect
Distance home-public transport Public transportation use in last two weeks -0.04 >0.001 direct_effect
Distance work-public transport Public transportation use in last two weeks -0.01 >0.001 direct_effect

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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