Automated City Segmentation for Pollution Threshold Attribution: The Example of New Cairo

Abstract

Today the use of vehicles has greatly increased especially in cities where alternative transportation methods cannot really be relied on. Inevitably, this causes excessive increases in noise and air pollution. Our previous study [4] has exposed real-life measures of pollution levels in certain areas in Cairo, however, there is a lack in identifying certain maximum pollution thresholds to particular neighbourhoods or city segments. In this paper, we attempt to provide a solution to the pollution issue via threshold attribution and using New Cairo as an illustrative example. Our approach uses geographical coordinates and an input radius in meters to generate an interactive map. The map segments the city into different sections. Furthermore, we plot each section with corresponding pollution thresholds that appear when hovering over those areas. In Addition, we categorize each segment into one of three categories, where each category has a defined pollution threshold value.