Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea
The purpose of this study was to analyze the current status and needs of infrastructure for basic life in Gwangjin district in Seoul, South Korea. In this study, we examined whether the national minimum standard was satisfied in terms of the infrastructure for basic life in the district. Specificall...
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| Format: | Article |
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MDPI AG
2021-01-01
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| Series: | Social Sciences |
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| Online Access: | https://www.mdpi.com/2076-0760/10/1/26 |
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| author | Wooseok Kang Narang Park Wookjae Heo |
| author_facet | Wooseok Kang Narang Park Wookjae Heo |
| author_sort | Wooseok Kang |
| collection | DOAJ |
| description | The purpose of this study was to analyze the current status and needs of infrastructure for basic life in Gwangjin district in Seoul, South Korea. In this study, we examined whether the national minimum standard was satisfied in terms of the infrastructure for basic life in the district. Specifically, we employed and compared the empirical utilities of two types of geographic datasets, 100-square-meter grids and 500-square-meter grids. The study compares the prediction accuracy between two types of geographic datasets by employing multivariate linear estimation using influential factors. The evaluation methods for prediction accuracy were to compare the root mean of squared error (RMSE) and mean of absolute error (MAE) from each dataset. The results were as follows: (a) the dataset with 100-square-meter grids showed more significant associations among influential factors and the infrastructure than the dataset with 500-square-meter grids; (b) the 100-square-meter grids showed better prediction accuracy compared with the 500-square-meter grids; and (c) in terms of basic level local government, it was more powerful to use the datasets with 100-square-meter grids for finding blind sides of infrastructure than the datasets with 500-square-meter grids. The results imply that it is necessary to adjust urban policy by using appropriate datasets, such as 100-square-meter grids. |
| first_indexed | 2024-03-09T04:38:48Z |
| format | Article |
| id | doaj.art-27a537dbcf5645159e19c148b51cf1af |
| institution | Directory Open Access Journal |
| issn | 2076-0760 |
| language | English |
| last_indexed | 2024-03-09T04:38:48Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Social Sciences |
| spelling | doaj.art-27a537dbcf5645159e19c148b51cf1af2023-12-03T13:24:23ZengMDPI AGSocial Sciences2076-07602021-01-011012610.3390/socsci10010026Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South KoreaWooseok Kang0Narang Park1Wookjae Heo2Korea Research Institute for Human Settlements, 5 Gukchaegyeonguwon-ro, Sejong-si 30149, KoreaSchool of Family and Consumer Sciences, Texas State University, San Marcos, TX 78666, USADepartment of Consumer Sciences, South Dakota State University, Brookings, SD 57006, USAThe purpose of this study was to analyze the current status and needs of infrastructure for basic life in Gwangjin district in Seoul, South Korea. In this study, we examined whether the national minimum standard was satisfied in terms of the infrastructure for basic life in the district. Specifically, we employed and compared the empirical utilities of two types of geographic datasets, 100-square-meter grids and 500-square-meter grids. The study compares the prediction accuracy between two types of geographic datasets by employing multivariate linear estimation using influential factors. The evaluation methods for prediction accuracy were to compare the root mean of squared error (RMSE) and mean of absolute error (MAE) from each dataset. The results were as follows: (a) the dataset with 100-square-meter grids showed more significant associations among influential factors and the infrastructure than the dataset with 500-square-meter grids; (b) the 100-square-meter grids showed better prediction accuracy compared with the 500-square-meter grids; and (c) in terms of basic level local government, it was more powerful to use the datasets with 100-square-meter grids for finding blind sides of infrastructure than the datasets with 500-square-meter grids. The results imply that it is necessary to adjust urban policy by using appropriate datasets, such as 100-square-meter grids.https://www.mdpi.com/2076-0760/10/1/26basic living infrastructurepopulation gridregression analysisland use area |
| spellingShingle | Wooseok Kang Narang Park Wookjae Heo Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea Social Sciences basic living infrastructure population grid regression analysis land use area |
| title | Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea |
| title_full | Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea |
| title_fullStr | Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea |
| title_full_unstemmed | Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea |
| title_short | Improvements in Evaluating Grids for Basic Living Infrastructure: The Case of Gwangjin District in Seoul, South Korea |
| title_sort | improvements in evaluating grids for basic living infrastructure the case of gwangjin district in seoul south korea |
| topic | basic living infrastructure population grid regression analysis land use area |
| url | https://www.mdpi.com/2076-0760/10/1/26 |
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