基于多元数据分析的中国市政建设发展现状研究
天津理工大学, 管理学院, 天津 300384
| 摘 要： | 本文选取2020年度中国31个省（直辖市、自治区）市政建设情况数据，从管道和水系工程、道路交通工程、街道绿化工程3个方面选取10个指标，利用主成分分析、因子分析和聚类分析对中国市政建设水平进行了综合评价，并通过R语言进行可视化。研究结果表明，中国各省市政建设水平存在明显区域差异，总体呈现出南方优于北方、东部优于西部的特点，且各省市内部多个市政建设指标之间也存在发展不均衡的现象，可将中国各省市政建设水平分为5类，分别为市政建设高、中高、中、中低、低水平城市，且类型等级划分与现实情况基本一致。文末提出了相应建议措施，因地制宜做好街道绿化工程，合理规划城市市政建设，培养引进高素质专业人才，加大投资力度，健全融资体系，以此来促进中国各地区提高市政建设水平，实现全面综合发展。 |
| 关 键 词： | 因子分析; 聚类分析; 主成分分析; R语言; 市政建设; 实证研究 |
| DOI： | 10.57237/j.wjms.2023.01.001 |
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收稿日期: 2023-02-24
接受日期: 2023-05-12
在线出版日期: 2023-05-25
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 |
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