Abstract

With the development of information science and technology such as big data and cloud computing, the proposal of smart city realizes the transformation of urban governance from growth mode to refine operation mode. Smart city is an advanced stage of urban informatization development and urban governance, which must have a certain development foundation and corresponding environmental protection, that is, the preparation for smart city construction. First of all, through literature research and expert interviews, the critical success factors influencing the construction of smart city are selected, and the evaluation index system of smart city construction readiness is established; Secondly, the objective and subjective weights of indicators are determined and combined by using CRITIC and G1 methods to design. Thirdly, the Bonferroni operator is used to build the evaluation model of smart city construction readiness, calculate and sort the final evaluation value of the scheme; Finally, taking 30 cities in the list of national smart cities as the object of empirical research, the results show that the evaluation model constructed by the text can fully consider the contrast strength and conflict between indicators, eliminate the interaction between indicators, make the evaluation more objective and reasonable, and provide decision-making reference for measuring the construction readiness of smart cities.

Highlights

  • With the rapid development and maturity of important supporting technologies such as the Internet of things, cloud computing and big data analysis [1], [2], urban governance and development usher in a new period of opportunity [3],[4]

  • The first step is to design the weight of indicators by combining subjective and objective with the CRITIC-G1 method, make the setting of index weight has rich experience of experts and scientific logic at the same time, the second step is to build the evaluation and calculation model of the readiness of smart city construction by using the Bonfreroni operator, considered the contrast and conflict between indicators, the third step is to apply this model to some pilot cities of smart city in China to verify the feasibility of the model

  • Aiming at the problem of multi-index information aggregation in smart city construction readiness evaluation, this paper proposes a smart city construction readiness evaluation method based on CRITIC-G1 and the Bonferroni operator

Read more

Summary

INTRODUCTION

With the rapid development and maturity of important supporting technologies such as the Internet of things, cloud computing and big data analysis [1], [2], urban governance and development usher in a new period of opportunity [3],[4]. 4) There are few researches on the evaluation of smart city construction readiness from the perspective of the overall development level of the city, which cannot measure whether the smart city construction and implementation process has achieved the expected goal and the gap between it and the goal with a dynamic perspective It is of great significance for the development and maturity of smart city to select scientific mathematical model for index weighting. CRITIC(Criteria Importance Though Intercrieria Correlation) is an objective weighting method based on the concepts of contrast intensity and index conflict It takes the variability of the indicators and the correlation of the indicators into account, comprehensively measures the weight of the indicators, and fully considers the amount of information and coordination of the smart city readiness evaluation indicators. This paper is engaged in the pre perspective of smart city construction readiness evaluation, which can analyze whether the current situation of urban development has reached the expected goal and the gap with the goal, and provide a certain decisionmaking reference for resource allocation and policy-making in smart city

LITERATURE REVIEW
SMART CITY READINESS ASSESSMENT RESEARCH FRAMEWORK
CONSTRUCT THE EVALUATION INDEX SYSTEM OF SMART CITY CONSTRUCT READINESS
DETERMINE WEIGHT OF EACH INDEX WITH CRITIC AND G1 METHOD
CASE STUDY
CONCLUSION
SUGGESTION
Full Text
Paper version not known

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 call

Disclaimer: 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.