This study aimed to analyze the factors and characteristics of the built environment that affect walking as a criterion for evaluating the quality level of urban space. It examined whether various built environment characteristics, such as accessibili...
This study aimed to analyze the factors and characteristics of the built environment that affect walking as a criterion for evaluating the quality level of urban space. It examined whether various built environment characteristics, such as accessibility, diversity, connectivity, urban form and regional properties, which are known to promote walking through previous studies, actually affect pedestrian traffic. In order to reflect the specific properties of microscopic space for a large number of points, the 2010 floating population survey data of Seoul Metropolitan City, which provided detailed related data, was used. Therefore, pedestrian volume and comprehensive variable data were collected and analyzed for a total of 5,433points across Seoul. In addition, in order to precisely analyze count data such as pedestrian volume, Poisson Regression was used instead of OLS, which was mainly used in previous studies. As a result, the optimal model was derived by comparing and analyzing the models composed of various complex variable groups. In addition, if only a single effect on the pedestrian volume is considered, the variables related to public transportation accessibility have the greatest influence. This study is significant in that it analyzed the complex interrelationships and effects of the factors that promote walking activity and pedestrian volume.