Influences of Pedestrian Network on Pedestrian Crashes Considering Spatial Interactions

Abstract

Heading to the human-oriented society, walking is promoted trip mode. Walking is most fundamental travel behavior of human that occur most frequently in our daily lives. However, pedestrians are most vulnerable road users among others. Paying attentions to pedestrian-vehicular crashes, physical factors effecting the pedestrian behavior are considered in this study. A pedestrian start from an origin, walk on a path, and end up at a destination. This study focused on the geographic characteristics of these factors that leads to exposure to crashes. Using Geographically Weighted Poisson Regression instead of the traditional regression model, crash frequencies in Dongs of Seoul are analyzed based on the network characteristics in each Dong. Ratio of high-order roads connected to intersections, ratio of high-order roads length, ratio of crosswalks, and average block length were considered as independent variables. The built model revealed that it better fits than traditional model. Signs of four coefficients provided different relationship and result for each Dong. Dongs with same coefficient signs were grouped and gave possibility of interpretation. It is suggested that stakeholders to seek for countermeasures based on varying coefficients of independent variables.