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Academic Journal of Humanities & Social Sciences, 2023, 6(24); doi: 10.25236/AJHSS.2023.062421.

Research on the Typical Correlation Analysis Model of Input and Output in Smart Cities


Weihang Zhu

Corresponding Author:
Weihang Zhu

Faculty of Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong Special Administrative Region, China


Based on the typical correlation between input and output of smart cities in China and abroad, this paper summarizes the effective parts extracted from a large number of current smart city construction practices. By identifying the key core elements of smart cities, the article identifies key directions for investment in smart cities in new urban areas. The paper establishes investment indicators for smart cities and post evaluation indicators for smart city output, and builds an "input-output" prediction model to study the input-output relationship of smart cities. The article deepens the interactive relationship between investment in smart city construction and the output of construction achievements, providing an effective basis for pre evaluating the implementation effect of smart city construction. This model can determine the key points of resource allocation for smart city builders when formulating smart city construction plans and plans, and provide reference for pre evaluation of construction effectiveness for smart city construction decision-makers.


Smart city; Input and output analysis; Key element analysis; canonical correlation analysis

Cite This Paper

Weihang Zhu. Research on the Typical Correlation Analysis Model of Input and Output in Smart Cities. Academic Journal of Humanities & Social Sciences (2023) Vol. 6, Issue 24: 128-133. https://doi.org/10.25236/AJHSS.2023.062421.


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