Abstract
Smart city is a brand-new city form, in which information and communication technologies are utilized to sense, analyze, and integrate the key information of city operation core system, so that intelligent responses can be immediately and effectively taken to various demands including people’s livelihood, environmental protection, public safety, city services, and industrial and commercial activities. Digital economy is a mixed economy with the coexistence of multiple business models and diversified value creation models based on the information and communication technologies and in the digital economy, many things are undergoing huge changes, and their corresponding economic rules also need to be adjusted. On the basis of analyzing previous research works, this paper expounded the research status and significance of smart city’s resource scheduling and strategic management, elaborated the development background, current status, and future challenges of digital economy, introduced the methods and principles of city-level spatiotemporal data model and spatial full factor coding, formulated resource scheduling strategies for smart city based on digital economy, explored the dynamic fusion, storage, and update of smart city’s multisource heterogeneous data, conducted the information display and analysis of multilevel smart city, proposed strategic management approaches for smart city based on digital economy, analyzed the integrated implementation model of shared resource scheduling and people-oriented social management, and discussed the economic growth factors and standardization mechanism of smart city under the background of digital economy. The results of this study provide a reference for further research studies on the resource scheduling and strategic management of smart city under the background of digital economy.
Highlights
The transactions of management system usually have the characteristics of digitization, virtualization, concealment, and electronic payment in its multiple departments, which make it difficult to judge the consumption of trading venues and provide goods and services
Due to the different dimensions of the indicators in the evaluation index system for digital economy development, the orders of magnitude differ greatly and they tend to increase [9]. erefore, the initial data of the basic data is transformed into a comparable sequence and the calculation method is as follows: Pij where Pij is the data of the i-th index at the beginning of the jth year; Xij is the original data; and Yij is the value of the i-th index at the j-th year and the weight of each index is calculated as follows: n
I,j 1 where k is the fractal coefficient of the digital economy; pij is the proportion of the value of the i-th index in the j-year value of the indicator; and Sij is the information entropy of the i-th index in the j-th year
Summary
Smart city is a brand new city form which builds a smart and intelligent environment to support the city development; it utilizes cutting-edge information technology methods, such as the Internet of ings, cloud computing, optical networks, and mobile Internet, to integrate the scattered and fragmented information systems in a city into an organic whole with better synergy and regulation capabilities, so as to intelligently respond to various needs of public services, social management, industrial operations, and other activities [1]. e essence of a smart city is to make use of advanced information technology to realize smart management and operation of the city, thereby creating a better life for people in the city and promoting the harmonious and sustainable growth of the city [2]. e security of a smart city is a key indicator of its informationawareness layer. e analysis of city security characteristics is the basis for the construction of a smart city model, but this analysis model does not take into account factors such as the city environment, government services, and infrastructure. e construction of a new type of smart city includes four key elements of the open architecture of the Internet of ings, the city’s open information platform, the city operation command center, and cyberspace security. E essence of a smart city is to make use of advanced information technology to realize smart management and operation of the city, thereby creating a better life for people in the city and promoting the harmonious and sustainable growth of the city [2]. E essence of the digital economy lies in informatization, which is a completely new social and political and economic system that fully digitizes information and business activities, including the development of information technology such as information technology, traditional industries, infrastructure, and social life [7]. On the basis of analyzing previous research works, this paper expounded the research status and significance of smart city’s resource scheduling and strategic management, elaborated the development background, current status, and future challenges of digital economy, introduced the methods and principles of city-level spatiotemporal data model and spatial full factor coding, formulated resource scheduling strategies for smart city based on digital economy, explored the dynamic fusion, storage, and update of smart city’s multisource heterogeneous data, conducted the information display and analysis of multilevel smart city, proposed strategic management approaches for smart city based on digital economy, analyzed the integrated implementation model of shared resource scheduling and peopleoriented social management, and discussed the economic growth factors and standardization mechanism of smart city under the background of digital economy. e detailed section arrangement is as follows: Section 2 introduces the methods and principles of city-level spatiotemporal data model and spatial full factor coding; Section 3 formulates resource scheduling strategies for smart city based on digital economy; Section 4 proposes the strategic management approaches for smart city based on digital economy; Section 5 discusses the economic growth factors and standardization mechanism of smart city; Section 6 is conclusion
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