Evaluation and Analysis of High-Quality Development of New Urbanization Based on Intelligent Computing

Abstract

Urbanization construction is an important part of China’s economic development. New urbanization is a new development direction proposed by China in order to adapt to social development. China’s urbanization construction must be changed. The construction of new urbanization is not only committed to expanding the scale of cities and towns but also promotes the industrial upgrading of cities and towns and improves the efficiency of urban production to meet the needs of economic growth. Under China’s high-quality economic development model, various problems of ecological environment pollution and low productivity have emerged. New urbanization has become an effective strategy to promote high-quality economic development. The research results of this paper show that (1) the level of coordinated development among urbanization systems is low, and the population agglomeration and industrial economic development, urban land resource utilization, urban public welfare development, and urban ecological environment development are not coordinated during the process of population urbanization, it is necessary to strengthen the development capacity of the economy, space, society, and green urbanization, and only the coordinated development of various systems can promote the high-quality development of urbanization. (2) From 2006 to 2017, the urbanization development coefficient of the five northwestern provinces and regions has increased year by year, and the high-quality development level of urbanization has gradually increased. Except for the urbanization system development coefficient of urbanization from 2016 to 2017, which was higher than 0.3 and was in a relatively imbalanced stage, the coefficients of the other provinces were all lower than 0.2 in each year, which was in a highly imbalanced stage. (3) The loss value of the intelligent computing development evaluation model proposed in the article is the lowest among the detection models. When the number of iterations is 20, the final loss value of the article is 0.1. With the increase in the number of iterations, the accuracy rate is basically in a stable growth state, when the number of iterations is 20, and the accuracy rate reaches a peak value of 99%, which is close to 100%. The experimental results can also show that the performance of the intelligent computing development evaluation model structure is better than the evaluation of high-quality urbanization development.