{"title":"基于网络分析法的城市更新区域选择指标开发研究——以公州为例","authors":"Yeon-Jun Jeong, Kyung-Hwan Lee","doi":"10.5762/KAIS.2017.18.1.115","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to develop an indicator for the selection of urban regeneration areas through an analytical network process. Therefore, this study derived five criteria and 58 indicators based on previous studies. Five criteria and 16 indicators were derived by taking into account the region and city characteristics of Gong-ju. Next, a survey from 63 urban regeneration experts was performed. The weight values of the criteria were calculated using the super decisions 2.0 program. As a result, population characteristics (0.244) was the most important criteria, followed by the industry economy (0.218), condition of promotion policy (0.193), social culture (0.188), and physical environment (0.158). These results will be used to select potential urban regeneration areas, and will contribute to overall effective urban regeneration.","PeriodicalId":438644,"journal":{"name":"Journal of the Korea Academia Industrial Cooperation Society","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study on the indicator development for the selection of urban regeneration areas through analytic network process : a case study of Gong-ju\",\"authors\":\"Yeon-Jun Jeong, Kyung-Hwan Lee\",\"doi\":\"10.5762/KAIS.2017.18.1.115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study was to develop an indicator for the selection of urban regeneration areas through an analytical network process. Therefore, this study derived five criteria and 58 indicators based on previous studies. Five criteria and 16 indicators were derived by taking into account the region and city characteristics of Gong-ju. Next, a survey from 63 urban regeneration experts was performed. The weight values of the criteria were calculated using the super decisions 2.0 program. As a result, population characteristics (0.244) was the most important criteria, followed by the industry economy (0.218), condition of promotion policy (0.193), social culture (0.188), and physical environment (0.158). These results will be used to select potential urban regeneration areas, and will contribute to overall effective urban regeneration.\",\"PeriodicalId\":438644,\"journal\":{\"name\":\"Journal of the Korea Academia Industrial Cooperation Society\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Korea Academia Industrial Cooperation Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5762/KAIS.2017.18.1.115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korea Academia Industrial Cooperation Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5762/KAIS.2017.18.1.115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A study on the indicator development for the selection of urban regeneration areas through analytic network process : a case study of Gong-ju
The purpose of this study was to develop an indicator for the selection of urban regeneration areas through an analytical network process. Therefore, this study derived five criteria and 58 indicators based on previous studies. Five criteria and 16 indicators were derived by taking into account the region and city characteristics of Gong-ju. Next, a survey from 63 urban regeneration experts was performed. The weight values of the criteria were calculated using the super decisions 2.0 program. As a result, population characteristics (0.244) was the most important criteria, followed by the industry economy (0.218), condition of promotion policy (0.193), social culture (0.188), and physical environment (0.158). These results will be used to select potential urban regeneration areas, and will contribute to overall effective urban regeneration.