A Plan for Cities of Growth

This paper proposes reasonable metric to measure the success of smart growth of a city and obtain the wise plan for cities. The whole work is carried out by means of comprehensive analysis under some hypothesized settings. We set up five primary indicators: economic, society, environment, geographical conditions and demographics, each of which is subdivided into several secondary indicators. Analytic Hierarchy Process (AHP) Model is established to determine the weight of each indicator, which is adequately filled in the three-hierarchy structure. To overcome weakness of excess subjective factors in AHP, Fuzzy Synthetic Evaluation model is proposed to classify our indicators using data of 12 cities as samples. We divide scores into five levels in descending order: A, B, C, D and E. Combining the two models, the data is normalized, the eigenvalues and eigenvectors of judging matrix are calculated and the consistency test is conducted, which indicates robustness of our indicators classification.