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Identification of the Residential Areas for Urban Renewal Based on Big Data : Take Guangzhou as an example

机译:基于大数据的城市更新居住区识别-以广州为例

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摘要

Urban renewal is an important direction for urban development in China. Affected by urban diseases and lack of land resources, megacities urgently need to carry out urban renewal. The residential areas in Guangzhou also face problems such as low efficiency, poor quality, and insufficient vitality. This paper uses big data to identify the urban residential areas that is in urgent need of transformation and provides a reference for the planning and decision-making of Guangzhou urban renewal.
机译:城市更新是中国城市发展的重要方向。受城市疾病和土地资源缺乏的影响,特大城市迫切需要进行城市更新。广州的居住区还面临效率低,质量差,活力不足等问题。本文利用大数据来识别急需改造的城市居民区,为广州城市更新的规划与决策提供参考。

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