The Database Preparation and Analysis of Spatial Data with Geographic Information Systems (GIS) for General Solid Waste Management: A Case Study of Tha Kham Subdistrict, Bang Pakong District, Municipality Chachoengsao Province
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Creator Kusuma Piriyapun
Title The Database Preparation and Analysis of Spatial Data with Geographic Information Systems (GIS) for General Solid Waste Management: A Case Study of Tha Kham Subdistrict, Bang Pakong District, Municipality Chachoengsao Province
Publisher Department of Information ScienceFaculty of Humanities and Social Sciences, Khon Kaen University
Publication Year 2565
Journal Title Journal of Information Science
Journal Vol. 40
Journal No. 2
Page no. 67-94
Keyword Spatial database, Geographic Information System, Solid Waste Management, Spatial Distribution
URL Website https://www.tci-thaijo.org/index.php/jiskku/index
Website title Journal of Information Science
ISSN 2773-8841
Abstract Purpose: This study aimed at 1) developing a spatial database for solid waste management, 2) analyzing the distribution of industrial factories and trash bin locations in Tha Kham sub-district municipality, Chachoengsao Province.Methodology: Data collection of this study was conducted through the stakeholders' meetings, and the spatial data were gathered through the use of GPS, checked for processing and analyzed them with the index of the nearest neighboring spots using QGIS (freeware) program.Findings: The findings revealed that creation of a spatial database included 10 data layers: location of trash bins, landfill sites, landmarks, study areas boundaries, villages, water sources, roads, buildings, industrial factory locations and land use. When considering the distribution and location of trash bins of the factories through the analysis of the index of the nearest spots, it was found that the values of the distribution and locations were 0.55 and 0.18 respectively reflecting that the distribution was in the concentrated pattern.Applications of the study: This study provides useful data on the spatial database for sub-district municipalities and provincial administrative organizations and recommends them to apply the data in placing appropriate trash bin locations based on the population and density of industrial plants in order to reduce the amount of residual waste and formulate the measures and guidelines for developing smart cities and increasing the abilities of sustainable waste management.
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