Advertisement

A construction of smart city evaluation system based on cloud computing platform

  • Changhao WangEmail author
  • Shining Li
  • Tao Cheng
  • Bingqi Li
Special Issue
  • 33 Downloads

Abstract

Smart city is a complex systematic engineering. It not only needs planing, constructing, managing and running, but also requires evaluating, optimizing and adjusting, in order to keep the smart city construction prospective, reasonable and effective. The application of cloud computing platform can effectively improve the intellectualization of urban. According to the problems such as the blind construction and the unsatisfied results during the process of the smart city construction, we carry on the theoretical exploration about smart city evaluation system based on cloud platform and studying the indexes included in smart city and relation among them, and further propose the method of the smart city evaluation system. The core of the method is the smart city evaluation indexes system, evaluation method and optimization strategy and the feasibility of the method is verified by an example. Finally, we propose an application-oriented cloud computing platform architecture, it can improve the evaluation results and maximize the capacity of smart cities.

Keywords

Cloud computing Smart city Evaluation system Index value Index weight 

Notes

Acknowledgements

This work is supported by National Natural Science Foundation of China (NSFC) under Grant No. 61872434 and Key R&D Program of Shaanxi Province in 2017 (No. 2017ZDXM-GY-018).

References

  1. 1.
    Yang M, Mahmood M, Zhou X, Shafaq S, Zahid L (2018) Design and implementation of cloud platform for intelligent logistics in the trend of intellectualization. China Commun 14(10):180–191CrossRefGoogle Scholar
  2. 2.
    Yang C, Feng Z (2018) The organizational of smart city simulation model. Sci Technol 24(20):47–54Google Scholar
  3. 3.
    Fei W, Lei S (2018) Review of intelligent city assessment research at home and abroad. Mod Urban Res 6:85–90Google Scholar
  4. 4.
    Shi J (2018) Introduction of network security architecture model in smart city public transportation. Inf Secur Commun Priv 6:74–84Google Scholar
  5. 5.
    Wan C (2018) Fine urban governance under the background of smart city. Urban Rural Dev 19:44–46Google Scholar
  6. 6.
    Batty M, Hudson-Smith A (2016) Visual analytics about smart cities and big data in urban design. Urban Des 3:6–15Google Scholar
  7. 7.
    Li D, Yao Y, Shao Z (2012) The concept, supporting technology and application of small city. J Eng Stud 12:313–317Google Scholar
  8. 8.
    Zhou Q, Xia Q (2017) Application of digital survey and visual analysis in town planning. Planners 4:101–108Google Scholar
  9. 9.
    Caird S (2018) City approaches to smart city evaluation and reporting: case studies in the United Kingdom. Urban Res Pract 2:159–179CrossRefGoogle Scholar
  10. 10.
    Yang L, Liu L (2016) Research on IcT reference framework and evaluation index of smart city. Inf Technol Stand 8:63–67Google Scholar
  11. 11.
    Guo L (2013) Research on China’s smart city standard system. China Building Industry Press, BeijingGoogle Scholar
  12. 12.
    Gong P, Zhang L (2018) A comparative study on domestic and Overseas Evaluation Index system of smart city. Planners 34(11):96–100Google Scholar
  13. 13.
    Cui L, Yang K (2018) Construction of evaluation index system of smart city. Stat Decis 34(6):33–38MathSciNetGoogle Scholar
  14. 14.
    Wan B (2015) Smart city infrastructure standard technical report. China Building Industry Press, BeijingGoogle Scholar
  15. 15.
    Qian Bin Hua (2013) A research on the smart city evaluation system. Future Dev 7:18–23Google Scholar
  16. 16.
    Deng X (2010) A study on the evaluation index system of the smart city. Dev Res 12:111–116Google Scholar
  17. 17.
    Stratigea A, Leka A, Panagiotopoulou M et al (2017) In search of indicator s for assessing smart and sustainable cities and communities’ performance. Int J E-Plan Res 1:43–73Google Scholar
  18. 18.
    Monzon A (2015) Smart cities concept and challenges: bases for the assessment of smart city projects. In: Smart Greens 2015 and Vehits 2015, CCIS 579. Springer, Gewerbestrasse, pp 17–31Google Scholar
  19. 19.
    Gu T, Pung HK, Zhang DQ (2005) A service-oriented middleware for building context-awreness services. J Netw Comput Appl 28(1):1–18CrossRefGoogle Scholar
  20. 20.
    Gong B (2015) The discussion on evaluation index and the assessment method of smart city. Office Autom 1:38–42Google Scholar
  21. 21.
    Wang Z, Duan Y (2014) An AHP-based approach to evaluation indicator system of China’ s smart city. Sci Technol Manag Res 34(17):165–170Google Scholar
  22. 22.
    Gomes EHA, Dantas MAR, De Macedo DDJ, De Rolt CR, Dias J, Foschini L (2018) An infrastructure model for smart cities based on big data. Int J Grid Util Comput 9(4):322–332CrossRefGoogle Scholar
  23. 23.
    Hashem IAT, Chang V, Anuar NB, Adewole K, Yaqoob I, Gani A, Ahmed E, Chiroma H (2016) The role of big data in smart city. Int J Inf Manag 36:748–758CrossRefGoogle Scholar
  24. 24.
    Kuroki M, Niibori M, Ishida T (2018) Implementation of information collecting tools using mobile terminals useful for efficient infrastructure maintenance. Int J Space-Based Situat Comput 8(1):9–19CrossRefGoogle Scholar
  25. 25.
    Suzuki H, Koyama A (2018) An implementation and evaluation of IoT application development method based on real object-oriented model. Int J Space-Based Situat Comput 8(3):151–159CrossRefGoogle Scholar
  26. 26.
    Zhao X, Xie L, Wei L, Lin M, Zhang Z, Fan C (2016) A cloud computing platform for FY-4 based on resource scheduling technology. In: 2016 international conference on advanced cloud and big data, Chengdu, China, 13–16 Aug 2016, pp 122–126Google Scholar
  27. 27.
    Gupta R, Pradhan S, Haridas A, Karia DC (2018) Cloud based smart parking system. In: 2018 2nd international conference on inventive communication and computational technologies (ICICCT), Coimbatore, India, 20–21 April 2018, pp 341–345Google Scholar
  28. 28.
    Volpato F, Da Silva MP, Dantas MAR (2019) Ofquality: a quality of service management module for software-defined networking. Int J Grid Util Comput 10(2):187–198CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringNorthwestern Polytechnical UniversityXi’anPeople’s Republic of China
  2. 2.Shaanxi University of Science and TechnologyXi’anPeople’s Republic of China

Personalised recommendations