Using GIS Analysis to Assess Urban Green Space in Terms of Real Estate Development

I. Coroian, M. Nap, I. Pop, F. Matei, T. Sălăgean, J. Deak, Silvia Chiorean, E. Șuba, I. Lupuț, Diana Ficior
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引用次数: 11

Abstract

Urban green spaces (UGS) contribute to the development of the ecosystem, especially in crowded urban areas such as cooling effect, air and noise pollution mitigation, recreation, aesthetic pleasure, quality of life and public health, as well as economic benefits, such as raising the price of the real state in the vicinity of UGS. The aim of the paper is to realize a study on green spaces and an urban distribution of the size of a systematic planning of functional and aesthetic qualities. This study examines the distribution and amount of green space, as well as the size and rates per capita are assessed. Even the distribution of distance and the accessibility of green areas throughout the city are closely linked to ensuring recreational needs. Spatial statistics using GIS have made possible the development of correct, coherent explanatory UGS variables such as distance, size, density, connectivity, sight and accessibility. The parks and all green spaces composed of polygons were digitized from the ArcGIS Attribute Table for the evaluation of per capita rates and the execution of a plan to combat the deficit of green spaces. In order to make an assessment of the green spaces, a comparative study of the area of interest from 2010 and 2020 was considered. According to the spatial analyses from ArcGis, during the 10 years, an intense real estate market was developed, affecting the distribution of green spaces per capita.
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基于GIS的房地产开发城市绿地评价
城市绿地(UGS)有助于生态系统的发展,特别是在拥挤的城市地区,如降温效果、空气和噪音污染缓解、娱乐、审美愉悦、生活质量和公共卫生,以及经济效益,如提高UGS附近房地产的价格。本文的目的是实现对城市绿地规模的研究和城市布局的功能与审美品质的系统规划。本研究考察了绿地的分布和数量,以及人均面积和比率进行了评估。甚至整个城市绿地的距离分布和可达性都与确保娱乐需求密切相关。利用地理信息系统的空间统计使得开发正确、连贯的解释性地理信息系统变量(如距离、大小、密度、连通性、视野和可达性)成为可能。公园和所有由多边形组成的绿地都从ArcGIS属性表中数字化,以评估人均比率和执行应对绿地短缺的计划。为了对绿色空间进行评估,对2010年和2020年的兴趣区域进行了比较研究。根据ArcGis的空间分析,在过去的10年里,房地产市场的激烈发展影响了人均绿地的分布。
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发文量
12
审稿时长
8 weeks
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