Michael Fire

Senior Academic

Using Data Mining for Infrastructure and Safety Violations Discovery in Cities

Doron Laadan, Eyal Arviv, Michael Fire

In city planning and maintenance, the ability 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 results of our analysis are presented along with an interactive exploration tool, which allows for easy exploration and identification of the different facilities around the city that violate regulations.

Publication language English
Publication status Published - 28.09.2020
Article Number 9239035

Keywords

Data-Mining
Data-Science
Smart-Cities

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Transportation
Urban Studies
Artificial Intelligence
Energy Engineering and Power Technology

Sustainable Development Goals

SDG 11 - Sustainable Cities and Communities