Using Data Mining for Infrastructure and Safety Violations Discovery in Cities

Doron Laadan, Eyal Arviv, Michael Fire
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引用次数: 1

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.
基于数据挖掘的城市基础设施与安全违规发现
在城市规划和维护中,快速识别基础设施违规行为(如消防栓丢失或放错地方)的能力对于维护城市安全至关重要;它甚至可以拯救生命。在这项工作中,我们的目标是提供对此类违规行为的分析,并展示数据驱动方法在快速定位和解决这些违规行为方面的潜力。我们根据比尔谢瓦市消防栓、防空洞和其他公共设施的公共记录进行了一项分析研究。我们的分析结果与一个交互式探索工具一起呈现,该工具允许轻松地探索和识别城市周围违反规定的不同设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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