Modifying the walk score based on daily social activities: residential neighborhood in Egypt as a case study

Abstract

Walkability has been linked to quality of life in many ways. The Walk Score is one of several methodologies aimed at assisting people in evaluating walkability. Despite the validation of this method, the amenity schedule around the day and the occupancy percentage in each amenity are not included in the calculation of the Walk Score, resulting in reduced accuracy. The research aims to improve the Walk Score methodology by inserting the amenity schedule around the day and the occupancy percentage in each amenity in the calculating method of the walk score, as the amenities do not have the same occupancy throughout the day. The research proposes a new method to calculate the Walk Score according to the time and occupancy for each amenity at the residential neighborhood level in Egypt. The research uses Salam New City as a case study to apply the new method to a residential neighborhood using the Urban Modelling Interference (Umi) plugin. Finally, the research proposes the Walk Score Model of Salam New City to calculate the Walk Score around the day. The new Walk Score model helps urban planners improve urban space design and the distribution of amenities.