566 / 2019-02-28 23:04:43

Influencing Factors of Pedestrians’ Travel Mode Around Metro Station: A Case Study of Yingkoudao Metro Station in Tianjin

logistic regression model,travel mode,built environment,state preference method

全体主题 > Urban Planning & Modeling

Taking pedestrians around Yingkoudao metro station in Tianjin as an ex-ample, this research aims to find main factors that influence pedestrians’ travel mode and quantify their impact. Firstly, pedestrians’ travel characteristics and modes are analyzed. Through the discussion of data from the sample questionnaire survey, a logistic regression model is established to analyze people’s travel modes. It is found that factors like travel aim, companions have significant influence on people’s travel mode. Then the state preference method is adopted to investigate the relation between built environment and slow traffic mode. By studying how street built environment impact on people’s walking and cycling choice through the binary logistic regression model, the influence was quantified and dis-cussed. The result shows that factors like average building floors and commerce ratio are of great influence on people’s choice and their concerns differ from various age groups.