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GREEN METRICS: INTERNET OF THINGS BASED ECOLOGICAL MONITORING AND MANAGEMENT FOR SUSTAINABLE URBAN LIVING IN KYIV.
- Source :
-
Economic Science for Rural Development Conference Proceedings . 2024, Issue 58, p220-230. 11p. - Publication Year :
- 2024
-
Abstract
- Given the importance of the ecological component as part of the Internet of Things (IoT) green city platform, it is necessary to constantly monitor the ecological situation in the cities and sub-urban areas. The Kyiv city (Ukraine) has been chosen as a test subject for the study. As a part of sustainability process management systems, we focused on modelling and analysis of the green city service systems. Objective of the study is to research and compare various economic and ecological data from large cities; outline the scope of the green city model that is used for web service design, which is part of larger internet of things sustainable information system platform. The following categories of data had been processed, but not limited to the total cost of the system, the total loss of a natural resource, the amount of investment in restoration or maintenance, the cost of natural materials, oxygen supply, the price of conversion for the exploitation or destruction of a natural resource, land prices dynamics, the tax on the restoration of the territory, the total economic benefit from the territory and the volume of CO2 emissions. Green City e-service platform has been constructed to enable the users to calculate the net cost, losses associated with natural resources available, and replenishment costs, both per unit of area and per unit of time. One of the most important outcomes of the service presented in this paper is the correlation between the urbanization processes (the increase in pollution, densification of buildings, the formation of agglomerations, new transportation, and infrastructure development) and their impact on the overall state of local ecosystems. The presented process management and monitoring service can further be enhanced to create a dynamic forecasting and situational assessment system as part of a green city management platform. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16913078
- Issue :
- 58
- Database :
- Academic Search Index
- Journal :
- Economic Science for Rural Development Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 180145154
- Full Text :
- https://doi.org/10.22616/ESRD.2024.58.022