A Dynamic Assessment Method for Urban Eco-environmental Quality Evaluation

With the rapid development of urbanization, urban environmental problems become a big challenge for urban socio-economic development planning. In this paper, a new Dynamic Assessment method, which integrates technique for order preference by similarity to ideal solution, Entropy weight for time series data analysis, Grey relational analysis and Clustering, is proposed for urban eco-environmental quality assessment of the Yangtze River Delta and Pearl River Delta in China. A sensitivity analysis is also conducted to identify the influence of weight or value changes of factors. The urban eco-environmental quality ranking by the proposed method is consistent with the Chinese city competitiveness rankings in 2009 by the Chinese Academy of Social Sciences. It is much easier and more efficient to obtain the urban eco-environmental quality ranking by the proposed method than by field studies and surveys.