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

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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.

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References

  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):180–191

    Article  Google Scholar 

  2. Yang C, Feng Z (2018) The organizational of smart city simulation model. Sci Technol 24(20):47–54

    Google Scholar 

  3. Fei W, Lei S (2018) Review of intelligent city assessment research at home and abroad. Mod Urban Res 6:85–90

    Google Scholar 

  4. Shi J (2018) Introduction of network security architecture model in smart city public transportation. Inf Secur Commun Priv 6:74–84

    Google Scholar 

  5. Wan C (2018) Fine urban governance under the background of smart city. Urban Rural Dev 19:44–46

    Google Scholar 

  6. Batty M, Hudson-Smith A (2016) Visual analytics about smart cities and big data in urban design. Urban Des 3:6–15

    Google Scholar 

  7. Li D, Yao Y, Shao Z (2012) The concept, supporting technology and application of small city. J Eng Stud 12:313–317

    Google Scholar 

  8. Zhou Q, Xia Q (2017) Application of digital survey and visual analysis in town planning. Planners 4:101–108

    Google Scholar 

  9. Caird S (2018) City approaches to smart city evaluation and reporting: case studies in the United Kingdom. Urban Res Pract 2:159–179

    Article  Google Scholar 

  10. Yang L, Liu L (2016) Research on IcT reference framework and evaluation index of smart city. Inf Technol Stand 8:63–67

    Google Scholar 

  11. Guo L (2013) Research on China’s smart city standard system. China Building Industry Press, Beijing

    Google Scholar 

  12. Gong P, Zhang L (2018) A comparative study on domestic and Overseas Evaluation Index system of smart city. Planners 34(11):96–100

    Google Scholar 

  13. Cui L, Yang K (2018) Construction of evaluation index system of smart city. Stat Decis 34(6):33–38

    MathSciNet  Google Scholar 

  14. Wan B (2015) Smart city infrastructure standard technical report. China Building Industry Press, Beijing

    Google Scholar 

  15. Qian Bin Hua (2013) A research on the smart city evaluation system. Future Dev 7:18–23

    Google Scholar 

  16. Deng X (2010) A study on the evaluation index system of the smart city. Dev Res 12:111–116

    Google Scholar 

  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 1:43–73

    Google Scholar 

  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 17–31

    Google Scholar 

  19. Gu T, Pung HK, Zhang DQ (2005) A service-oriented middleware for building context-awreness services. J Netw Comput Appl 28(1):1–18

    Article  Google Scholar 

  20. Gong B (2015) The discussion on evaluation index and the assessment method of smart city. Office Autom 1:38–42

    Google Scholar 

  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):165–170

    Google Scholar 

  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):322–332

    Article  Google Scholar 

  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 36:748–758

    Article  Google Scholar 

  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):9–19

    Article  Google Scholar 

  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):151–159

    Article  Google Scholar 

  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 122–126

  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 341–345

  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):187–198

    Article  Google Scholar 

Download references

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).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, 710072, People’s Republic of China

    Changhao Wang, Shining Li, Tao Cheng & Bingqi Li

  2. Shaanxi University of Science and Technology, Xi’an, 710021, People’s Republic of China

    Changhao Wang

Authors
  1. Changhao Wang
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  2. Shining Li
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  3. Tao Cheng
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  4. Bingqi Li
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Correspondence to Changhao Wang.

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Wang, C., Li, S., Cheng, T. et al. A construction of smart city evaluation system based on cloud computing platform. Evol. Intel. 13, 119–129 (2020). https://doi.org/10.1007/s12065-019-00259-w

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