Using Data Mining for Infrastructure and Safety Violations Discovery in Cities

Doron Laadan, Eyal Arviv, Michael Fire

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2020 IEEE International Smart Cities Conference, ISC2 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728182940
DOIs
StatePublished - 28 Sep 2020
Event2020 IEEE International Smart Cities Conference, ISC2 2020 - Piscataway, United States
Duration: 28 Sep 20201 Oct 2020

Publication series

Name2020 IEEE International Smart Cities Conference, ISC2 2020

Conference

Conference2020 IEEE International Smart Cities Conference, ISC2 2020
Country/TerritoryUnited States
CityPiscataway
Period28/09/201/10/20

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

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