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Research on Smart Growth of Sustainable Cities Based on Information Entropy and Super-Efficiency DEA Model

机译:基于信息熵和超级效率DEA模型的可持续城市智能成长研究

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Since the “smart growth” was put forward in the late 90s, it has become an accepted design idea and concept in the field of urban design in the world, and has been deeply studied and applied. In order to better promote “smart grown”, we set up an evaluation system, which consists of eleven indicators. In this paper, Oxford City and Fengzhen City are used as the objects of the study. Then smart growth evaluation model is established. The weight of the index is calculated by the entropy method. We use the model to evaluate the development plans of the two cities, from which to calculate the contribution of the indicators on the level of smart growth. Finally, we use the super-efficient data envelopment analysis model (DEA) to rank the importance of the indicators to the smart growth. The results show that the level of smart growth in Oxford is higher than that in Fengzhen. And “Multifunctional Building Density in Central City”, “The Density of Public Area in Central City” two indicators account for more than 36% weight. The contribution of the two indicators is also located in the top two indicators. Two cities focus on the direction of smart growth is also different. In summary, the differences between China and Western countries in urban planning are mainly focused on housing and public resources.
机译:自90年代后期提出“智能增长”以来,它已成为世界上城市设计领域的公认的设计理念和概念,并深入研究和应用。为了更好地促进“智能成长”,我们建立了一个评估系统,由11个指标组成。在本文中,牛津城和丰镇市被用作研究的目的。然后建立智能成长评估模型。索引的重量由熵方法计算。我们使用该模型来评估两个城市的发展计划,从中计算指标对智能增长水平的贡献。最后,我们使用超高效的数据包络分析模型(DEA)将指标的重要性对智能增长进行排名。结果表明,牛津智能增长水平高于凤镇。和“中部城市的多功能建筑密度”,“中心城市的密度”两个指标占36%以上的重量。两种指标的贡献也位于前两个指标中。两个城市专注于智能增长的方向也不同。总之,中国和西方国家在城市规划中的差异主要集中在住房和公共资源上。

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