The Circular Economy, Big Data Analytics, and the Transformation of Urban Slums in Sub-Saharan Africa

D. Cordes, G. Morrison
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引用次数: 0

Abstract

Sub-Saharan Africa is currently experiencing growth in the number of people living in poverty, and the situation is worsening due to climate change and the COVID-19 pandemic. Cities are increasingly under stress because of urbanization and the demand for low-cost housing. Slum dwellers face daunting social, environmental, and economic challenges. Geospatial analysis of remote sensing, demographic, economic, social, and environmental data is being used to delineate slums. The application of circular economy guidelines for an intelligent transformation of slums combines technical and social innovation that reaches beyond the slums to the whole urban ecosystem. Examples of contributions to the circular economy are provided. Finally, some ideas are introduced on how the internet of things can improve access to goods and services and strengthen interconnectedness through the ability to participate more readily in the social dialogue of the city. The city of Accra in Ghana, West Africa, is discussed as a potential slum city to functional intelligent city transformation.
循环经济、大数据分析与撒哈拉以南非洲城市贫民窟的转型
撒哈拉以南非洲地区的贫困人口正在增加,而且由于气候变化和2019冠状病毒病大流行,情况正在恶化。由于城市化和对低成本住房的需求,城市面临越来越大的压力。贫民窟居民面临着严峻的社会、环境和经济挑战。正在利用遥感、人口、经济、社会和环境数据的地理空间分析来划定贫民窟。将循环经济指导方针应用于贫民窟的智能改造,将技术和社会创新结合起来,超越贫民窟,延伸到整个城市生态系统。提供了对循环经济的贡献的例子。最后,介绍了物联网如何通过更容易参与城市社会对话的能力来改善商品和服务的获取,并加强互联性的一些想法。讨论了西非加纳阿克拉市作为一个潜在的贫民窟城市向功能性智能城市的转型。
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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