文献类型：期刊文献

英文题名：Resource Scheduling and Strategic Management of Smart Cities under the Background of Digital Economy

作者：Yin, Qing[1,2];Liu, Gang[1]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Henan Univ Anim Husb & Econ, Zhengzhou 450000, Henan, Peoples R China

年份：2020

卷号：2020

外文期刊名：COMPLEXITY

收录：;EI(收录号：20205109623633);WOS:【SSCI(收录号:WOS:000597936600004)，SCI-EXPANDED(收录号:WOS:000597936600004)】；

基金：This work was supported by the project of the National Social Science Fund (No. 17BGL030) and Youth Scientific Research and Innovation Fund Project of Henan University of Animal Husbandry and Economy (No. XKYCXJJ2017006).

语种：英文

外文关键词：Digital storage - Information management - Environmental technology - Accident prevention - Strategic planning - Research and development management - Scheduling

摘要：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.