Using Data Mining for Infrastructure and Safety Violations Discovery in Cities

TL;DR

This paper demonstrates how data mining techniques can be used to identify infrastructure and safety violations in cities, using city data and an interactive tool to facilitate quick detection and response.

Contribution

It introduces a data-driven approach and an interactive tool for identifying city infrastructure violations, enhancing city safety management.

Findings

Successful analysis of city infrastructure data

Development of an interactive exploration tool

Potential for rapid violation detection

Abstract

In city planning and maintenance, the abilty to quickly identify infrastructure violations - such as missing or misplaced fire hydrants - can be crucial for maintaining a safe city; it can even save lives. In this work, we aim to provide an analysis of such violations, and to demonstrate the potential of data-driven approaches for quickly locating and addressing them. We conduct an analytical study based upon data from the city of Beer-Sheva's public records of fire hydrants, bomb shelters, and other public facilities. The result of our analysis are presented along with an interactive exploration tool, which allows for easy exploration and identification of different facilities around the city that viloate regulations.