{"title":"基于gis的印尼泗水公立学校选址的多标准决策分析方法","authors":"D. H. Prasetyo, J. Mohamad, R. Fauzi","doi":"10.1139/GEOMAT-2018-0017","DOIUrl":null,"url":null,"abstract":"Surabaya is one of the old cities of Indonesia and has been inhabited since the Colonial era. It has been continuously growing until today leading to expansion of its area to the south, east, and west. Unfortunately, it has not been supported by the addition of new public schools, particularly at the secondary and high school levels. This research aimed to help the government by determining the suitability level of the whole area of the city for locating a new school and for evaluating current school locations. This research proposed six spatial factors: administration, population, transportation, land-use, student flow, and public preferences. Each factor was represented as raster file built from primary and secondary tabular and spatial data. Each factor then was weighted from the multi-criteria decision analysis step using the analytical hierarchy process method. The results show recommended and non-recommended areas in Surabaya for locating a new school building. This research integrated GIS analysis, web-GIS application, public participation, and MCDA to identify the best solution for this case.","PeriodicalId":35938,"journal":{"name":"Geomatica","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1139/GEOMAT-2018-0017","citationCount":"13","resultStr":"{\"title\":\"A GIS-based multi-criteria decision analysis approach for public school site selection in Surabaya, Indonesia\",\"authors\":\"D. H. Prasetyo, J. Mohamad, R. Fauzi\",\"doi\":\"10.1139/GEOMAT-2018-0017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Surabaya is one of the old cities of Indonesia and has been inhabited since the Colonial era. It has been continuously growing until today leading to expansion of its area to the south, east, and west. Unfortunately, it has not been supported by the addition of new public schools, particularly at the secondary and high school levels. This research aimed to help the government by determining the suitability level of the whole area of the city for locating a new school and for evaluating current school locations. This research proposed six spatial factors: administration, population, transportation, land-use, student flow, and public preferences. Each factor was represented as raster file built from primary and secondary tabular and spatial data. Each factor then was weighted from the multi-criteria decision analysis step using the analytical hierarchy process method. The results show recommended and non-recommended areas in Surabaya for locating a new school building. This research integrated GIS analysis, web-GIS application, public participation, and MCDA to identify the best solution for this case.\",\"PeriodicalId\":35938,\"journal\":{\"name\":\"Geomatica\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1139/GEOMAT-2018-0017\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geomatica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1139/GEOMAT-2018-0017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomatica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1139/GEOMAT-2018-0017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
A GIS-based multi-criteria decision analysis approach for public school site selection in Surabaya, Indonesia
Surabaya is one of the old cities of Indonesia and has been inhabited since the Colonial era. It has been continuously growing until today leading to expansion of its area to the south, east, and west. Unfortunately, it has not been supported by the addition of new public schools, particularly at the secondary and high school levels. This research aimed to help the government by determining the suitability level of the whole area of the city for locating a new school and for evaluating current school locations. This research proposed six spatial factors: administration, population, transportation, land-use, student flow, and public preferences. Each factor was represented as raster file built from primary and secondary tabular and spatial data. Each factor then was weighted from the multi-criteria decision analysis step using the analytical hierarchy process method. The results show recommended and non-recommended areas in Surabaya for locating a new school building. This research integrated GIS analysis, web-GIS application, public participation, and MCDA to identify the best solution for this case.
GeomaticaSocial Sciences-Geography, Planning and Development
CiteScore
1.50
自引率
0.00%
发文量
7
期刊介绍:
Geomatica (formerly CISM Journal ACSGC), is the official quarterly publication of the Canadian Institute of Geomatics. It is the oldest surveying and mapping publication in Canada and was first published in 1922 as the Journal of the Dominion Land Surveyors’ Association. Geomatica is dedicated to the dissemination of information on technical advances in the geomatics sciences. The internationally respected publication contains special features, notices of conferences, calendar of event, articles on personalities, review of current books, industry news and new products, all of which keep the publication lively and informative.