Intelligent evaluation approach for smart city based on DEA model: Taking Wuhan, China as an example

Issue title: Special Section: Applications of intelligent & fuzzy theory in engineering technologies and applied science

Guest editors: Stanley Lima and Álvaro Rocha

Article type: Research Article

Authors: Kairui, Yang^{; *}

Affiliations: School of Public Administration, Henan University of Economics and Law, Zhengzhou, China

Correspondence: [*] Corresponding author. Yang Kairui, School of Public Administration, Henan University of Economics and Law, Zhengzhou, China. E-mail: abriham@126.com.

Abstract: This paper constructs evaluation index system of input-output of Smart City on the basis of the present evaluation researches of Smart City, urban information and urbanization from the view of input-output theory; and via utilizing related methods of Data Envelopment Analysis (DEA) takes intelligent evaluation research of the change of effectiveness and construction efficiency of Smart City construction in Wuhan among 2013–2016. The result reveals Smart City construction of Wuhan has got a certain achievements and relative efficiency. So, Wuhan should stress overall layout, achieve key breakthrough, exert local features and tamp human resources foundation, perfect relevant system, guarantee innovation enthusiasm, improve financing system and promote industrial innovation so as to improve cluster scale of urban construction input, technological innovation capability and promote the construction of Smart City.

Keywords: Input-output theory, evaluation index system, DEA, Malmquist productivity index

DOI: 10.3233/JIFS-169618

Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 2667-2677, 2018