PDF
(2932KB)
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.
Keywords
new technology integration
/
smart city
/
big data
/
practical innovation
Cite this article
Download citation ▾
Xiaohong CHEN.
The development trend and practical innovation of smart cities under the integration of new technologies.
Front. Eng, 2019, 6(4): 485-502 DOI:10.1007/s42524-019-0057-9
| [1] |
Albino V, Berardi U, Dangelico R M (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1): 3–21
|
| [2] |
Bibri S E, Krogstie J (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31: 183–212
|
| [3] |
Caird S P, Hallett S H (2019). Towards evaluation design for smart city development. Journal of Urban Design, 24(2): 188–209
|
| [4] |
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
|
| [5] |
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)
|
| [6] |
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
|
| [7] |
Cook D J (2012). How smart is your home? Science, 335(6076): 1579–1581
|
| [8] |
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
|
| [9] |
Diao X L (2015). “Internet+” promotes the transformation and upgrading of smart city construction. Communications World, (11): 23 (in Chinese)
|
| [10] |
Hammi B, Khatoun R, Zeadally S, Fayad A, Khoukhi L (2018). IoT technologies for smart cities. IET Networks, 7(1): 1–13
|
| [11] |
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
|
| [12] |
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
|
| [13] |
Kenneth J C, William A S (1994). Vignettes: Medical wisdom. Science, 265(5175): 1115
|
| [14] |
Kummitha R K R, Crutzen N (2017). How do we understand smart cities? An evolutionary perspective. Cities, 67: 43–52
|
| [15] |
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
|
| [16] |
Li J W, Gan D A (2001). The connotation, task and countermeasures of building digital city. China Industrial Economy, (10): 53–59 (in Chinese)
|
| [17] |
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
|
| [18] |
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
|
| [19] |
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
|
| [20] |
Ning B (2018). A number of scientific and technical problems in intelligent transportation. SCIENTIA SINICA Informationis, 48(9): 1264–1269 (in Chinese)
|
| [21] |
O’Grady M, O’Hare G (2012). How smart is your city? Science, 335(6076): 1581–1582
|
| [22] |
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)
|
| [23] |
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
|
| [24] |
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
|
| [25] |
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)
|
| [26] |
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
|
| [27] |
Tencent Research Institute (2018). The 2018 China “Internet+” Index Report. Available at: new.qq.com/omn/20190101/20190101A08H D5.html
|
| [28] |
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
|
| [29] |
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)
|
| [30] |
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
|
| [31] |
Zawieska J, Pieriegud J (2018). Smart city as a tool for sustainable mobility and transport decarbonisation. Transport Policy, 63: 39–50
|
| [32] |
Zhang P (2005). Practice of foreign water resources management and its reference to China. Zhihuai, 27(3): 6–7 (in Chinese)
|
RIGHTS & PERMISSIONS
Higher Education Press