Abstract
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.
Highlights
The results show that the level of smart growth in Oxford is higher than that in Fengzhen
Smart growth is the future trend of urban development
From the above study we can find the advantage of smart growth
Summary
The concept of agricultural information entropy is used to describe the uncertainty of the source He used mathematical language to clarify the relationship between probability and information redundancy [2]. In addition to the use of information entropy model, we use the DEA model (data envelopment analysis) to solve a problem about Which indicator is more potential. Rhodes first proposed a method called Data Envelopment Analysis (DEA) to evaluate the relative effectiveness of departments ( Known as DEA effective) Their first model was named CCR model. From the point of view of the production function, this model is used to study the “ideal” and “effective” method with multiple inputs, especially the “production sector” with multiple outputs In the latter part of the content we will use the BBC model to solve the problem [8]
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