Title |
Rational planning and urban governance based on smart cities and big data |
ID_Doc |
39506 |
Authors |
Xiao, XY; Xie, C |
Title |
Rational planning and urban governance based on smart cities and big data |
Year |
2021 |
Published |
|
DOI |
10.1016/j.eti.2021.101381 |
Abstract |
With the development of computer big data technology, people's needs for smart cities are gradually increasing. The construction of smart cities should not only give "smart" the things in the city, but also pay attention to improving the quality of the people in the city. This article uses the research object of the smart city construction model to study the advantages of smart city construction based on big data and rational planning theory and its impact on people's lives. This article differs from previous qualitative research on smart cities, from the perspective of quantitative research based on the dual difference method to assess whether smart cities can provide a new impetus to economic growth. The results of the research show that the construction of smart cities can significantly promote regional economic growth and the DID rate is stable between 0.054-0.059 and the construction of smart cities can promote regional economic growth by 5.4% to 5.9%. Improving the efficiency of urban enterprises, thus leading to regional economic development. Building a smart city requires residents to be able to live independently, seek development, serve others and serve society using media and information technology. There is a link between promoting the construction of smart cities and improving the media literacy of residents. Improving media information literacy of residents will help fully unleash the vitality of smart city construction. (C) 2021 Elsevier B.V. All rights reserved. |
Author Keywords |
Smart city; Big data theory; Rational planning; Urban governance |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000618241700010 |
WoS Category |
Biotechnology & Applied Microbiology; Engineering, Environmental; Environmental Sciences |
Research Area |
Biotechnology & Applied Microbiology; Engineering; Environmental Sciences & Ecology |
PDF |
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