Study On The Smart City Assessment System

Smart city is a product of social development and progress of the information technology,research on Evaluation of wisdom city can provide the basis for the relevant departments to analyzethe situation of city development around the wisdom, has the vital significance. The currentrepresentative wisdom city evaluation index system of existing indicators are too subjective, thedimension is not full, do not pay attention to the weight distribution, lack of scientific and otherdefects. Make up the existing index system based on the consideration of many defects, this paperbased on the summary of the current intelligent city connotation and evaluation index system ofresearch results, construct the index system by using the quantitative study on the comprehensiveevaluation method in the field of statistics.This paper selects ten representative "wisdom city evaluation index system at home andabroad", will be appropriate to add some indexes of index reorganization plus, as a basic indexsource, using AHP was first built index system; data collection in major cities of the correspondingindex, and the normalization processing, will be used as indicators of screening, testing, weightcalculation and evaluation model of training sample library reference value. Then, the normalizedreference data to construct feature selection model for screening and optimization, and uses theSVM-RFE model to test the screening results of feature selection. Through the above steps, finallyobtains a set of5dimensions (level indicator),14factors (two indicators),66measures (three levelindex) index system construction. Then the index data screening optimized neural network modelwas constructed to calculate the weight of each index. The results show that, in five dimensionsinfluence the outcome evaluation of smart city, dimensions of modern industrial system accountsfor the contribution of the highest degree, achieve the contribution of42.37%, followed by themunicipal infrastructure and public services21.47%15.25%14.15%, the ecological environmentlivable, and social management6.76%. Finally, using the above the trained neural networkcomprehensive evaluation index system and model to evaluate the development level of wisdomcity in5cities in China in2013, the evaluation results were analyzed, and put forward thecorresponding suggestion.