Development of a decision support system of city's social infrastructure accessibility based on GIS-technologies

Author:

Tashkin Artem O.ORCID, ,Hollay Aleksandr V.ORCID,

Abstract

There are three main problems of interaction people with limited mobility with social infrastructure facilities (SIF): the first is physical, the second is the inaccessibility of information about the SIF, and the third is social. The accessibility of SIF and information about it can be ensured through use electronic maps of urban areas and SIF (digital city). These circumstances determine the relevance of the deve¬lopment and creation of a geoinformation support system for decision support in the field of social infrastructure accessibility for people with limited mobility. An original approach to the development and creation of technology to meet the needs for obtaining formalized spatial data, as a social tool for geographic orientation, an information and reference system for supporting decision-making in the field of social development is proposed. The purpose of the study is to develop a system for managing and monitoring the city’s social infrastructure facilities. Materials and methods. The conceptual model of the system was developed using GIS technologies and the theory of formal concept analysis (FCA). The online version is implemented using PHP, JavaScript. Results. The paper presents a methodology for implementing a decision support system. An Internet version of the system has been implemented. The system functionality and interface were tested with the involvement focus groups of people, interested in using the development. Conclusion. A system for managing and monitoring city’s social infrastructure facilities has been deve¬loped and implemented. The work is useful in the field of municipal management of social infrastructure, as well as for people with disabilities and researchers.

Publisher

FSAEIHE South Ural State University (National Research University)

Subject

Psychiatry and Mental health

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatial Data Mining Based on Urban Underground Pipe Networks;2023 4th International Conference on Computers and Artificial Intelligence Technology (CAIT);2023-12-13

2. Decision support models and methods to analysis and development in the IT services and equipment repair organizational and production processes management field;Yugra State University Bulletin;2023-07-19

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