Skip to main content

Advertisement

SpringerLink
Log in

The development trend and practical innovation of smart cities under the integration of new technologies

  • Research Article
  • Published:
Frontiers of Engineering Management Aims and scope Submit manuscript

Abstract

Smart cities have rapidly developed in the context of the integration of new digital technologies such as big data, Internet of Things, artificial intelligence, blockchains, and virtual reality. These cities have conducted practical innovations and typical cases in many sectors, such as in government, transportation, environmental protection, energy, medical care, and logistics, and have produced many social, economic, and ecological benefits. However, there are still some problems that continue to hinder the construction of smart cities. This paper examines such problems in depth and proposes some relevant countermeasures and suggestions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Albino V, Berardi U, Dangelico R M (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1): 3–21

    Article  Google Scholar 

  • Bibri S E, Krogstie J (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31: 183–212

    Article  Google Scholar 

  • Caird S P, Hallett S H (2019). Towards evaluation design for smart city development. Journal of Urban Design, 24(2): 188–209

    Article  Google Scholar 

  • Cardoso J S, Cardoso M J (2007). Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment. Artificial Intelligence in Medicine, 40(2): 115–126

    Article  Google Scholar 

  • Chen G Q, Wu G, Gu Y D, Lu B J, Wei Q (2018a). The challenges for big data driven research and applications in the context of managerial decision-making: Paradigm shift and research directions. Journal of Management Sciences in China, 21(7): 1–10 (in Chinese)

    Google Scholar 

  • Chen X H, Yi G D, Liu J, Liu X, Chen Y (2018b). Evaluating economic growth, industrial structure, and water quality of the Xiangjiang River Basin in China based on a spatial econometric approach. International Journal of Environmental Research and Public Health, 15(10): 2095–2112

    Article  Google Scholar 

  • Cook D J (2012). How smart is your home? Science, 335(6076): 1579–1581

    Article  Google Scholar 

  • Cowley R, Joss S, Dayot Y (2018). The smart city and its publics: Insights from across six UK cities. Urban Research & Practice, 11(1): 53–77

    Article  Google Scholar 

  • Diao X L (2015). “Internet +” promotes the transformation and upgrading of smart city construction. Communications World, (11): 23 (in Chinese)

    Google Scholar 

  • Hammi B, Khatoun R, Zeadally S, Fayad A, Khoukhi L (2018). IoT technologies for smart cities. IET Networks, 7(1): 1–13

    Article  Google Scholar 

  • Huang A Q, Crow M L, Heydt G T, Zheng J P, Dale S J (2011). The future renewable electric energy delivery and management (FREEDM) system: The energy internet. Proceedings of the IEEE, 99(1): 133–148

    Article  Google Scholar 

  • Joshi M, Vaidya A, Deshmukh M (2018). Sustainable transport solutions for the concept of smart city. In: Gautam A, De S, Dhar A, Gupta J, Pandey A, eds. Sustainable Energy and Transportation. Energy, Environment, and Sustainability. Singapore: Springer, 21–42

    Chapter  Google Scholar 

  • Kenneth J C, William A S (1994). Vignettes: Medical wisdom. Science, 265(5175): 1115

    Article  Google Scholar 

  • Kummitha R K R, Crutzen N (2017). How do we understand smart cities? An evolutionary perspective. Cities, 67: 43–52

    Article  Google Scholar 

  • Lee J H, Phaal R, Lee S H (2013). An integrated service-device-technology roadmap for smart city development. Technological Forecasting and Social Change, 80(2): 286–306

    Article  Google Scholar 

  • Li J W, Gan D A (2001). The connotation, task and countermeasures of building digital city. China Industrial Economy, (10): 53–59 (in Chinese)

    Google Scholar 

  • Manousakas M, Papaefthymiou H, Diapouli E, Migliori A, Karydas A G, Bogdanovic-Radovic I, Eleftheriadis K (2017). Assessment of PM2.5 sources and their corresponding level of uncertainty in a coastal urban area using EPA PMF 5.0 enhanced diagnostics. Science of the Total Environment, 574: 155–164

    Article  Google Scholar 

  • Mogaji K A, Lim H S, Abdullah K (2015). Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster-Shafer model. Arabian Journal of Geosciences, 8(5): 3235–3258

    Article  Google Scholar 

  • Mohammadi M, Al-Fuqaha A (2018). Enabling cognitive smart cities using big data and machine learning: Approaches and challenges. IEEE Communications Magazine, 56(2): 94–101

    Article  Google Scholar 

  • Ning B (2018). A number of scientific and technical problems in intelligent transportation. SCIENTIA SINICA Informationis, 48(9): 1264–1269 (in Chinese)

    Article  Google Scholar 

  • O’Grady M, O’Hare G (2012). How smart is your city? Science, 335(6076): 1581–1582

    Article  Google Scholar 

  • Qi Y Q (2016). Research on Smart City Evaluation Algorithm Based on Analytic Hierarchy Process. Dissertation for the Master Degree. Beijing: Beijing University of Technology (in Chinese)

    Google Scholar 

  • Skouby K E, Lynggaard P (2014). Smart home and smart city solutions enabled by 5G, IoT, AAI and CoT services. In: 2014 International Conference on Contemporary Computing and Informatics (IC3I). Mysore: IEEE, 874–878

    Chapter  Google Scholar 

  • Souza J T D, Francisco A C D, Piekarski C M, Prado G F D (2019). Data mining and machine learning to promote smart cities: A systematic review from 2000 to 2018. Sustainability, 11(4): 1077–1090

    Article  Google Scholar 

  • Sun Q Y, Yang L Q, Zhang H G (2018). Smart energy—Applications and prospects of artificial intelligence technology in power system. Control and Decision, 33(5): 938–949 (in Chinese)

    Google Scholar 

  • Tang X B, Chen X H, Tian Y (2017). Chemical composition and source apportionment of PM2.5—A case study from one year continuous sampling in the Chang-Zhu-Tan urban agglomeration. Atmospheric Pollution Research, 8(5): 885–899

    Article  Google Scholar 

  • Tencent Research Institute (2018). The 2018 China “Internet +” Index Report. Available at: https://doi.org/new.qq.com/omn/20190101/20190101A08HD5.html

  • Trindade E P, Hinnig M P F, Moreira da Costa E, Marques J S, Bastos R C, Yigitcanlar T (2017). Sustainable development of smart cities: A systematic review of the literature. Journal of Open Innovation: Technology, Market, and Complexity, 3(1): 11–24

    Article  Google Scholar 

  • Wang R Y, Liang Q, Li G Q (2018). Virtual agglomeration: A new form of the spatial agglomeration under the deep integration of a new generation of information technology and the real economy. Management World, 34(2): 13–21 (in Chinese)

    Google Scholar 

  • Yamamura S, Fan L Y, Suzuki Y (2017). Assessment of urban energy performance through integration of BIM and GIS for smart city planning. Procedia Engineering, 180: 1462–1472

    Article  Google Scholar 

  • Zawieska J, Pieriegud J (2018). Smart city as a tool for sustainable mobility and transport decarbonisation. Transport Policy, 63: 39–50

    Article  Google Scholar 

  • Zhang P (2005). Practice of foreign water resources management and its reference to China. Zhihuai, 27(3): 6–7 (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha, 410205, China

    Xiaohong Chen

  2. Business School, Central South University, Changsha, 410083, China

    Xiaohong Chen

Authors
  1. Xiaohong Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaohong Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, X. The development trend and practical innovation of smart cities under the integration of new technologies. Front. Eng. Manag. 6, 485–502 (2019). https://doi.org/10.1007/s42524-019-0057-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42524-019-0057-9

Keywords

Search

Navigation