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首页> 外文期刊>International journal of urban sustainable development >Multi-level Cellular Automata-based housing allocation model for small cities in developing countries: a case study of Kasba-Tadla city, in Morocco
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Multi-level Cellular Automata-based housing allocation model for small cities in developing countries: a case study of Kasba-Tadla city, in Morocco

机译：基于多级元胞自动机的发展中国家小城市住房分配模型：以摩洛哥卡斯巴-塔德拉市为例

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摘要

Small cities in developing countries are under a set of transitions that imperil their sustainability and whose repercussions can reach the international level. Therefore, local decision-makers need specific geoprospective urban models to seek alternative pathways. This paper presents a housing allocation model, designed to meet the context of small cities in developing countries. It is a multi-level Cellular Automata that relies on a new apprehension of urbanisation process, implemented through raster irregular grid with time-step variation. The model application to reconstruct housing dynamics in Kasba-Tadla city in Morocco, between 1999 and 2016, confirmed its ability to mimic well the spatio-temporal allocation of housing settlements. The obtained results showed that the spatial allocation of informal settlements is not anarchic, but driven by flexible rules, and also revealed Kasba-Tadla city could have better negotiated the after 'Arab Spring' urban transformations if local decision-makers had foreknowledge.
机译：发展中国家的小城市正在经历一系列过渡，这些过渡损害了其可持续性，其影响可以达到国际水平。因此，地方决策者需要特定的地理预测城市模型来寻找替代途径。本文提出了一种住房分配模型，旨在满足发展中国家小城市的需求。它是一个多级元胞自动机，它依赖于对城市化过程的新认识，该过程通过具有时间步长变化的栅格不规则网格来实现。该模型在1999年至2016年之间重建了摩洛哥卡斯巴塔德拉市住房动态的模型应用程序，证实了其能够很好地模仿住房定居点的时空分配的能力。获得的结果表明，非正式住区的空间分配不是无政府主义的，而是由灵活的规则驱动的，并且还表明，如果当地决策者有先知的意识，卡斯巴-塔德拉市可以更好地就“阿拉伯之春”之后的城市转型进行谈判。

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