AN ANALYTICAL MODEL FOR DETERMINING THE PER CAPITA INDEX OF SPORTS PLACES AND SPACES

IF 0.8 Q3 GEOGRAPHY Journal of Urban and Regional Analysis Pub Date : 2022-01-25 DOI:10.37043/jura.2022.14.1.6
M. Salimi
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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.
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确定体育场地人均指标的分析模型
在当代城市化史上,人均概念的使用是德国现代城市工程创始人Reinhard Laumeister的创新之一,并于1876年启动。从那时起,不同维度的人均概念一直是城市规划中许多科学的基础。人均,作为公民的标准和特权份额,包括城市公用事业,而人均确定实际上是规范规划的第一步。就体育场所和空间的使用而言,人均是未来地位和前景的决定因素,规划者和管理者总是会考虑这一点,尤其是在宏观和国家层面。尽管体育场所和空间的人均指标有很多用途,但目前还没有统一的科学方法来计算。因此,本研究旨在提供一个分析模型,以确定体育场所和场所的人均指标。在GIS软件中分析了研究的两个空间和描述性部分的基本信息。在Arc GIS中使用Thiessen Networks分析函数对边界进行划分和网络分布后,使用所提出的公式和相关区块的人口分别计算每个多边形的人均数。最后,根据前一阶段实现的人均质量,根据室内游泳池开发的需要,将研究区域划分为三个(特权、半特权和贫困)范围。
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来源期刊
CiteScore
1.80
自引率
28.60%
发文量
16
审稿时长
16 weeks
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