Developing a route filtering system for street network development by integrating GIS and space syntax: a case study from tehran, Iran

Abstract

Throughout the urban development process over the last seven decades in Tehran, Iran many self-generated neighbourhoods have developed, in which the majority of the residents are low-income families. The main spatial attribute of these deprived neighbourhoods in space syntax terms is spatial isolation from the surrounding, more affluent areas, which is accompanied by inadequate urban infrastructure and a lack of accessibility and permeability. This paper discusses a method of developing a route filtering system for identifying the most suitable streets for the creation of a pedestrian-friendly network, using an example of a deprived area, in order to integrate it with the surrounding urban fabric. The theory of ‘Natural Movement’ formed the basis of the research, the spatial pattern being analysed through Space Syntax using Depthmap software and GIS. The results showed that it is possible to identify the underlying spatial pattern using this approach and this could form a very cost effective basis for developing a pedestrian friendly street network, in order to release the deprived area from its spatial isolation.