Abstract:

The importance given to transportation investments all over the world is increasing day by day. Therefore, effective planning plays an important role in both new transportation investments and improvement of the existing transportation system. In transportation planning, one of the main goals for sustainable urbanization and sustainable mobility is to provide a transportation system that gives priority to pedestrian and public transportation. In this context, in many developed and developing countries, especially pedestrian safety is prioritized and practices and studies are developed. Accordingly, the use of environment- and pedestrian-friendly transportation systems is being expanded. Pedestrian characteristics and behaviors should be examined first in order to develop practices and policies that encourage pedestrian travel. In this study, socio-economic and demographic characteristics that affect other-purpose (socializing, entertainment, shopping, banking, sports, etc.) pedestrian travel behaviors are investigated. In this context, characteristics of 50 neighborhoods and approximately 21000 household surveys were used. With the help of Multiple Linear Regression (MLR), Ridge Regression (RR) and Liu Regression methods, models explaining the changes in the frequency of pedestrian travel for other purposes were produced. Three methods were evaluated in terms of Mean Squares of Error (HKO), Akaike Infırmation Criteria (AIC) and Bayesian Information Criteria (BIC). All three criterias showed that the RR produced more successful model. According to HKO, the RR and Liu models were found to be approximately 35% and 27% more successful than the MLR model, respectively.

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