开普敦非正式住区发展的地理空间分析

IF 0.3 Q4 REMOTE SENSING
T Fisher, K Singh
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引用次数: 0

摘要

非正式住区对南非等发展中国家的城市增长产生了重大影响。此外,还与失业等消极的社会经济因素有关,而且缺乏有保障的土地保有安排。本研究的重点是发展对开普敦市内非正式住区发展的内部动态的地理空间理解。为了调查非正式住区是如何在当地建立和发展的,我们在2011-2019年期间对Imizamo Yethu、Langa和Siqalo的非正式住区进行了监测,使用图像分类来确定住区的发展、复杂性和紧凑性。由此开发的分类地图的总体精度在88%到96%之间。随后使用变化检测分析来确定所有三个地区每个非正式住区的地理空间趋势。线性回归与普通最小二乘分析相结合,发现驱动增长的主要空间趋势是密度化,密度化与开放空间可得性、失业、贫困和GDP相关。此外,沿主要正式的外部运输路线和非正式的内部运输网络确定了致密化。研究发现,在开普敦的宏观经济背景下,个体住区呈现出独特的内部地理空间发展动态,但在城市的微观经济背景下,这些动态往往有所不同。这种情况的解释变量包括倾斜的土地、就业机会和居民收入较高的邻近地区。在所有非正式住区中,开放空间被证明是最重要的因素,而GDP在解释小屋紧凑性方面发挥了最重要的作用。这项研究可用于促进这些非正式住区正规化进程中的政策和决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatial Analysis of Informal Settlement Development in Cape Town
Informal settlements are a major influence in the urban growth of developing countries such as South Africa. There are also associated with negative socio-economic factors such as unemployment and are lacking in terms of secure land tenure arrangements. This research focuses on developing a geospatial understanding of the internal dynamics of informal settlement development within the City of Cape Town. To investigate how informal settlements are established and developed in a local context, the informal settlements of Imizamo Yethu, Langa, and Siqalo were monitored for the period 2011-2019 using image classification to determine the development, complexity, and compactness of the dwellings. The overall accuracy of the classified maps thus developed ranged between 88 and 96%. Change detection analysis was subsequently used to identify the geospatial trends for each informal settlement across all three. The combination of linear regression and ordinary least squares analysis determined that the major spatial trend driving growth was densification, which was correlated with the availability of open space, unemployment, poverty, and GDP. Furthermore, densification was identified along the major formal external transport routes and informal internal transport networks. It was found that individual settlements present unique internal geospatial development dynamics in the macroeconomic context of Cape Town, but that these tend to differ in the microeconomic context of the city. Among the explanatory variables for this situation were sloped lands, employment opportunities, and neighbouring areas where the incomes of the residents were higher. Across all the informal settlements, open space proved to be the most significant factor, while GDP played the most influential role in explaining shack compactness over time. This study could be used to contribute to policy and decision-making in the formalisation process in these informal settlements.
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