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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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| รหัสดีโอไอ | |
| 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. |