Examining factors that keep residents with high transit preference away from transit-rich zones and associated behavior outcomes

Wolday, Cao, Næss, 2018, in Journal of Transport Geography

doi:10.1016/j.jtrangeo.2017.12.009
Location Oslo, Norway
Population General
Sample size 1904
Factor analysis type nan, nan rotation
Stepwise regression no
Removal of insignificant variables yes
Reviewed by LCM

Factors

Models

Dependent variable Likelihood of choosing transit-rich zones
Model type Binary logit
Sample size 1081.0
R2 nan
Adjusted R2
Pseudo R2 (Nagelkerke) 0.426
AIC nan
BIC nan
Log-likelihood at zero nan
Log-likelihood at constants nan
Log-likelihood at convergence nan
Variable Coefficient p-value
Nice view -0.2936 0.001
Proximity to relatives and friends -0.1736 0.036
Proximity to workplace 0.2087 0.015
Proximity to train/metro 0.2956 0.001
Proximity to bus/streetcar 0.241 0.019
Private garden -0.7557 0
Architecture 0.2759 0.001
Familiar neighborhood 0.3444 0
Proximity to shops 0.2794 0.013
Easy access to shopping mall -0.2596 0.006
Distance to major road/rail line -0.1769 0.035
Opportunities for physical exercise -0.2291 0.008
Respondent's age -0.0208 0
Household size -0.3344 0
Education 0.4562 0
Driver's license -0.9078 0.001
Constant 1.0792 0.055
Dependent variable Likelihood of choosing transit-poor zones
Model type Binary logit
Sample size 537.0
R2 nan
Adjusted R2
Pseudo R2 (Nagelkerke) 0.138
AIC nan
BIC nan
Log-likelihood at zero nan
Log-likelihood at constants nan
Log-likelihood at convergence nan
Variable Coefficient p-value
Personal gross annual income -0.1473 0.003
Children aged 7-17 in the household 0.3488 0.026
Age 0.0151 0.021
Preference for private garden 0.5097 0
Constant -3.0289 0

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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