智慧城市
结构方程建模
成熟度(心理)
城市规划
能力成熟度模型
智能增长
计算机科学
土木工程
工程类
计算机安全
心理学
物联网
机器学习
发展心理学
程序设计语言
软件
作者
Clément Nicolas,Jinwoo Kim,Seokho Chi
出处
期刊:Journal of urban planning and development
[American Society of Civil Engineers]
日期:2021-02-15
卷期号:147 (2)
被引量:10
标识
DOI:10.1061/(asce)up.1943-5444.0000670
摘要
The development paths of smart cities are highly dependent on urban-specific contextual conditions. To be successful in managing smart city projects, it is important to understand the dynamics of urban development, which involve both controllable enablers (e.g., digital, physical, and human infrastructure) and immutable urban contexts (e.g., geographic, demographic, and structural variables) at the municipal level. Although many studies investigated the management-related dynamics intrinsically associated with the development of smart cities, they less considered the influence of urban contextual elements. Thus, it is still challenging to understand how contextual factors specifically affect the dynamics of smart city developments. To address this issue, the authors build upon structural equation modeling (SEM) to quantify the manageable dynamics of smart cities and to assess the maturity level of enablers and the degree of achievement of performance objectives in 50 smart cities. Then, the research analyzed the evolution trends of these evaluation scores under the influences of urban contextual variables. The results demonstrated the particular effects of economic development, geographical region, density, and size of smart cities on their maturation. This paper presents data-driven specifications that formulate the most favorable smart city developmental conditions to help practitioners to improve the planning of future smart city projects.
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