Journals / Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2018 / Cilt: 8 - Sayı: 1
Comparative Analysis with Binary Logistic Regression of Using Public Transportation
- Pages
- 113–123
- DOI
- —
Abstract
The purpose of this study is to determine the parameters that affect the using of public transportationfor individuals living in the cities which have the different level of development. Within the scope of the studyaccording to the index of development Ankara, Erzurum, Bayburt are selected respectively as developed,developing, underdeveloped provinces in Turkey. The sample size is calculated using central district population ofthis provinces. Household transportation survey was applied doing a field study between February-April in 2015.The data set which is obtained from the result of the survey is suitable for the purpose of the study and variablesof the statistical model are determined. Using public transportation is selected as dependent variables. Due todependent variable has qualitative and binary response (yes-no, all-nothing) binary logistic regression analysis isapplied. As independent variables sex, age, education level, ownership a driving license, trip purpose, trip time ischosen in this model. As a result, binary logistic regression model results which are composed separately for eachthe different three provinces are compared. The ownership of the driving license, trip purpose, trip time variablesare the significant for using public transportation in Ankara, education level, ownership of the driving license, trippurpose, trip time are significant in Erzurum, gender, trip time are significant in Bayburt as statistically. WhileErzurum which is selected from developing province group has the highest rate of using public transportation,Bayburt which is selected from underdeveloped province group has the lowest rate of using public transportation.
Özet
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