Abstract
This paper, taking 30 pilot smart cities as the research objects, firstly presents a reasonable and comprehensive evaluation index system of smart city development from six aspects. Secondly, factor analysis method was used to reduce the dimension of 23 indicators, and 7 common factors and their weights were obtained. The total score of 30 cities’ development status is ranked by the use of common factor and index data. The K-means clustering method makes cluster analysis on 30 cities, and divides each city into 4 categories according to the development situation of the indicators. Finally, based on the evaluation results, the author gives some suggestions on the construction of smart city.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
