4.5 Article

CityZones: A geospatial multi-tier software tool to compute urban risk zones

Journal

SOFTWAREX
Volume 23, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.softx.2023.101409

Keywords

Geospatial data; Urban emergency; Smart cities; OpenStreetMap

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CityZones is an online tool that evaluates the emergency response capability of an urban area and computes risk zones based on real data. It allows users to define Areas of Interest (AoI) on a map, which are categorized into low, medium, and high-risk levels. The tool calculates the risk zones within an AoI by considering the distances to hospitals, firefighters, policemen, and metro stations using the OpenStreetMap database. The computed risk zones can be exported and visualized for further analysis, and the tool also suggests ideal positions for emergency detection units within an AoI.
CityZones is an online tool to support when computing risk zones in a city, which is performed by mathematically evaluating the emergency response capability of an urban area using real data. The tool allows users to define polygonal Areas of Interest (AoI) on a map, which are categorised into low, medium, and high-risk levels. As urban emergencies in general will typically demand the assistance of hospitals (to attend victims), firefighters (for rescue operations and damages reduction), policemen (to control and manage critical situations), and even metro stations (for evacuation), the risk zones within an AoI will be computed according to the distances to such existing infrastructure, which is extracted from the OpenStreetMap database. The coordinates of an AoI are defined at the client-side and submitted to a server as a regular or irregular polygon, which is then stored in a GeoJSON file along with the computed classifications for further processing according to a multi-tier pipeline. Adopting a configurable square-based mathematical model to compute distances and relative risk levels, the risk zones are computed on-demand and exported to CSV files to be used by any application, with an additional representation for web-based visualisation. Moreover, as a practical exploitation of the computed maps, the CityZones tool also suggests ideal positions for sensors-based Emergency Detection Units (EDUs) within an AoI according to the chosen positioning algorithm, assuming that the computed risk zones indicate how severe an undetected emergency would be. While the CityZones tool is not intended to provide a mitigation approach at all, since it does not have knowledge about current emergency situations, it stands as a valuable pre-mitigation tool to be used in the planning phase of emergency management in smart cities, bringing an important contribution for practical applications in this area. & COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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