{"title":"确定体育场地人均指标的分析模型","authors":"M. Salimi","doi":"10.37043/jura.2022.14.1.6","DOIUrl":null,"url":null,"abstract":"In the history of contemporary urbanization, the use of the per capita concept is one of Reinhard Laumeister’s innovations, a founder of modern urban engineering in Germany, and it was triggered in 1876. Since then, the concept of per capita in its various dimensions has been the basis of many sciences in urban planning. Per capita, as the standard and privileging share of citizens, encompasses urban utilities, and the per capita determination is, in fact, the first step in normative planning. In terms of the use of sports places and spaces, per capita is as a determining parameter for the status and perspective of the future, which is always considered by planners and managers, especially at macro and national levels. Although there are many uses for the per capita indicator in sports places and spaces, there are no consistent scientific and methodological methods for calculating it. Therefore, the present study aims to provide an analytical model in order to determine the per capita index of sports places and spaces. The underlying information of the research in two spatial and descriptive sections was analyzed in the GIS software. After the division and network distribution of the boundary by the Thiessen Networks analytic function in the Arc GIS, the per capita of each polygon was separately calculated using the presented formula and the population of related blocks. Finally, with the qualitative per capita achieved in the previous stage, the study area was classified, based on the need for the development of indoor pools, to three (privileged, semi-privileged, and deprived) spectrums.","PeriodicalId":54010,"journal":{"name":"Journal of Urban and Regional Analysis","volume":"1 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AN ANALYTICAL MODEL FOR DETERMINING THE PER CAPITA INDEX OF SPORTS PLACES AND SPACES\",\"authors\":\"M. Salimi\",\"doi\":\"10.37043/jura.2022.14.1.6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the history of contemporary urbanization, the use of the per capita concept is one of Reinhard Laumeister’s innovations, a founder of modern urban engineering in Germany, and it was triggered in 1876. Since then, the concept of per capita in its various dimensions has been the basis of many sciences in urban planning. Per capita, as the standard and privileging share of citizens, encompasses urban utilities, and the per capita determination is, in fact, the first step in normative planning. In terms of the use of sports places and spaces, per capita is as a determining parameter for the status and perspective of the future, which is always considered by planners and managers, especially at macro and national levels. Although there are many uses for the per capita indicator in sports places and spaces, there are no consistent scientific and methodological methods for calculating it. Therefore, the present study aims to provide an analytical model in order to determine the per capita index of sports places and spaces. The underlying information of the research in two spatial and descriptive sections was analyzed in the GIS software. After the division and network distribution of the boundary by the Thiessen Networks analytic function in the Arc GIS, the per capita of each polygon was separately calculated using the presented formula and the population of related blocks. Finally, with the qualitative per capita achieved in the previous stage, the study area was classified, based on the need for the development of indoor pools, to three (privileged, semi-privileged, and deprived) spectrums.\",\"PeriodicalId\":54010,\"journal\":{\"name\":\"Journal of Urban and Regional Analysis\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Urban and Regional Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37043/jura.2022.14.1.6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Urban and Regional Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37043/jura.2022.14.1.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
AN ANALYTICAL MODEL FOR DETERMINING THE PER CAPITA INDEX OF SPORTS PLACES AND SPACES
In the history of contemporary urbanization, the use of the per capita concept is one of Reinhard Laumeister’s innovations, a founder of modern urban engineering in Germany, and it was triggered in 1876. Since then, the concept of per capita in its various dimensions has been the basis of many sciences in urban planning. Per capita, as the standard and privileging share of citizens, encompasses urban utilities, and the per capita determination is, in fact, the first step in normative planning. In terms of the use of sports places and spaces, per capita is as a determining parameter for the status and perspective of the future, which is always considered by planners and managers, especially at macro and national levels. Although there are many uses for the per capita indicator in sports places and spaces, there are no consistent scientific and methodological methods for calculating it. Therefore, the present study aims to provide an analytical model in order to determine the per capita index of sports places and spaces. The underlying information of the research in two spatial and descriptive sections was analyzed in the GIS software. After the division and network distribution of the boundary by the Thiessen Networks analytic function in the Arc GIS, the per capita of each polygon was separately calculated using the presented formula and the population of related blocks. Finally, with the qualitative per capita achieved in the previous stage, the study area was classified, based on the need for the development of indoor pools, to three (privileged, semi-privileged, and deprived) spectrums.