Research on the Development Status of Chinese Municipal Construction Based on Multivariate Data Analysis
School of Management, Tianjin University of Technology, Tianjin 300384, China
| Abstract: | This article selects data on municipal construction in 31 provinces (municipalities, autonomous regions) in China in 2020, and selects ten indicators from three aspects: pipeline and water system engineering, road traffic engineering, and street greening engineering. Principal component analysis, factor analysis, and cluster analysis are used to comprehensively evaluate the level of municipal construction in China, and visualization is conducted using R language. The research results indicate that there are significant regional differences in the level of municipal construction among various provinces in China, with the overall characteristics of the south being better than the north and the east being better than the west. There is also a phenomenon of uneven development among multiple municipal construction indicators within each province and city. The level of municipal construction in various provinces and cities in China can be divided into five categories, namely high, medium high, medium low, and low level cities in municipal construction, and the classification of types and levels is basically consistent with the actual situation. At the end of the article, corresponding suggestions and measures were proposed to do a good job in street greening projects according to local conditions, reasonably plan urban municipal construction, cultivate and introduce high-quality professional talents, increase investment, and improve the financing system, in order to promote the improvement of municipal construction levels in various regions of China and achieve comprehensive development. |
| Keywords: | Factor Analysis; Cluster Analysis; Principal Component Analysis; R Language; Municipal Construction; Empirical Research |
| DOI: | 10.57237/j.wjms.2023.01.001 |
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Received: 24 February 2023
Accepted: 12 May 2023
Published Online: 25 May 2023
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