Toward Sustainable Urban Drainage Planning? Geospatial Assessment of Urban Vegetation Density under Socioeconomic Factors for Quito, Ecuador

Q3 Social Sciences
René Ulloa-Espíndola, Elisa Lalama-Noboa, Jenny Cuyo-Cuyo
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引用次数: 0

Abstract

Natural or anthropogenic urban vegetation is an important resource for urban planning, risk assessment, and sustainable development of a city. Quito is a megadiverse city due to its location and topography, but the socioeconomic diversity generates more contrasting conditions of certain behaviors and habits related to urban infrastructure. The contrasts of vegetation and green spaces in the different sectors of Quito also reflect the diversity of the city. This study examines the effects of socioeconomic conditions on the loss or increase of urban vegetation. The exploratory regression method (spatial) and logit model (non-spatial) were used to explain the socioeconomic effects on urban vegetation density at the level of urban parishes. On the one hand, the Normalized Difference Vegetation Index (NDVI) was calculated as the dependent variable based on the 2021 sentinel images. On the other hand, the independent variables were structured based on the socioeconomic level, the land valuation areas of Quito (AIVAS), and the quality of life index. This article contributes to establishing baseline information that helps structure the conditions, strategies, and investments to design and implement plans and programs for urban drainage, ecosystem benefits, and sustainable development in the city of Quito.
迈向可持续的城市排水规划?社会经济因素下基多城市植被密度地理空间评价
自然或人为的城市植被是城市规划、风险评估和可持续发展的重要资源。由于其地理位置和地形,基多是一个超级多样化的城市,但社会经济的多样性产生了与城市基础设施相关的某些行为和习惯的更多对比条件。基多不同地区的植被和绿地的对比也反映了城市的多样性。本研究探讨了社会经济条件对城市植被减少或增加的影响。采用探索性回归方法(空间)和logit模型(非空间)在城市教区层面解释了城市植被密度的社会经济效应。一方面,基于2021年前哨影像计算归一化植被指数(NDVI)作为因变量;另一方面,根据社会经济水平、基多土地估价区(AIVAS)和生活质量指数构建自变量。本文有助于建立基线信息,帮助构建条件、战略和投资,以设计和实施基多城市排水、生态系统效益和可持续发展的计划和方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Geographies
Human Geographies Social Sciences-Geography, Planning and Development
CiteScore
1.10
自引率
0.00%
发文量
7
审稿时长
8 weeks
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