Green Score: Developing a Measurement Model for Sustainable Pedestrian-Friendly Environment Based on Space Syntax

Pedestrian-oriented transportation has recently emerged as an important issue to supplement transportation modes as a method to reduce traffic accidents and environmental pollution. Compared to the increasing attention, practical studies considering the transportation environment in Korea are very limited. As a first step for studying the service level of pedestrian environment, it is necessary to develop an objective and systematic evaluation scheme. This paper aims to develop the ‘Green Score’, an evaluation system, which can be used to compute and evaluate the service level of pedestrian environment. In this study, we focused on pedestrian axes associated with vehicle crosses for the evaluation. We applied the depth-based index used in space syntax theory in assessing the space structure in terms of the connectivity. For setting the weight values of evaluation criteria obtained from survey, we employed AHP (Analytic Hierarchy Process). The computed scores using these criteria are classified and normalized according to the levels of pedestrian dependency and, finally, displayed on a map. The proposed Green Score system is expected to be applicable in the visualization of pedestrian movements and the evaluation of convenience levels of pedestrian environment.