| Title | Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19 |
|---|---|
| ID_Doc | 37553 |
| Authors | Gavurova, B; Kelemen, M; Polishchuk, V |
| Title | Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19 |
| Year | 2022 |
| Published | |
| Abstract | The purpose of the paper is to create an information, fuzzy risk assessment model to support the decision-making of Municipality management for the establishment and management of measures in the safe mode (regular) of City, emergency and disaster situations, in the selected components of Smart City concept. Research on this topic was motivated by the need for support, especially in emergency situations, such as the COVID-19 pandemic. It is proposed that the evaluation be carried out at local level within the framework of the Smart City concept and selected components integrated into the entity, including the Smart Security, Smart Healthcare, and Smart Environment components supported by the Smart WebGIS subsystem. The model also assesses proposed solutions for self-government financing to ensure the acceptable risk, and economic impact of decisions on the city budget within the Smart Budget aspects of selected components. Decision-making is based on intellectual analysis, processing of fuzzy data and use of fuzzy inference. The output of the model is the assessment of the risk of the municipality subsystems, taking into account the threshold for the functioning of the municipality subsystems, the linguistic interpretation of the level of risk and the acceptability of the tolerable risk resource. The model algorithm was used to create a web application to support the Municipal management for the above-mentioned agenda, from safe time to pandemics. |
| https://doi.org/10.1016/j.seps.2022.101253 |
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