CityZones Application Server is a web interface for the Maps-service, written by Ph.D candidate João Paulo Just Peixoto under supervision of Prof. Daniel G. Costa, Ph.D (FEUP) and Prof. Washington de Jesus Sant'Anna da Franca Rocha, Ph.D (UEFS). This work was also supported by a research intership period at FEUP (Porto, Portugal), with supersion of Prof. Paulo Portugal, Ph.D.

This web interface manages the interactions with the users when creating a polygonal AoI (Area of Interest) over any city, which is the geographical area to be considered when computing risk zones. Additionally, this web interface is also responsible to display the processed results according to a defined multi-tier architecture. The computed zones are obtained according to a mathematical model based on the definition of mitigation levels, which are an indirect indication of how hard is to respond (mitigate) to an ongoing emergency after the occurence of a critical event. Each zone is classified in one of three levels: 1 (green), 2 (yellow) and 3 (red), being red the highest risk and green the lowest. This behavior is based on the premise that the higher the risk level, the harder is to sucessfully perform a mitigation action in that zone (rescue, fire figthing, crisis control, etc).

To have a full understanding of this tool and its functionalities, read the published scientific papers at the following links:

• The CityZones complete tool, with an improved version of the RiskZones algorithms (2.0), 2023: CityZones: A geospatial multi-tier software tool to compute urban risk zones
• The positioning of EDUs for emergencies detection based on geospatial with CityZones: On the positioning of emergencies detection units based on geospatial data of urban response centres
• Use of CityZones with connectivity data for EDUs positioning in Barcelona: Exploiting geospatial data of connectivity and urban infrastructure for efficient positioning of emergency detection units in smart cities
• The RiskZones original algorithm (1.0), 2022: Optimizing the deployment of multi-sensors emergencies detection units based on the presence of response centers in smart cities
• Important definitions and a literature review of emergency-centered smart city solutions, 2022: A Survey of Emergencies Management Systems in Smart Cities

This work is financially supported by national funds through the FCT/MCTES (PIDDAC), under the project EXPL/EEI-COM/1089/2021 - CitySensAlarm - Creating safer and more resilient cities through the detection and management of urban emergencies based on optimized sensor networks.

Also this work was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.