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

doi:10.1007/s42524-019-0057-9

Front. Eng

2019, Vol. 6

Issue (4) : 485-502 https://doi.org/10.1007/s42524-019-0057-9

RESEARCH ARTICLE

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

Xiaohong CHEN(

)

Institute of Big Data and Internet Innovation, Hunan University of Technology and Business, Changsha 410205, China; Business School, Central South University, Changsha 410083, China

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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

Corresponding Author(s): Xiaohong CHEN

Just Accepted Date: 10 October 2019 Online First Date: 22 November 2019 Issue Date: 05 December 2019

Cite this article:

Xiaohong CHEN. The development trend and practical innovation of smart cities under the integration of new technologies[J]. Front. Eng, 2019, 6(4): 485-502.

URL:

https://academic.hep.com.cn/fem/EN/10.1007/s42524-019-0057-9
https://academic.hep.com.cn/fem/EN/Y2019/V6/I4/485

Fig.1 “2N41” conceptual framework of smart cities.

Fig.2 Overall framework of the construction of a smart city under the integration of new technologies.

Fig.3 Overall trend of smart city development.

Fig.4 Ping An smart government solution.

Fig.5 Operation process of smart city construction based on open data (source: Fudan University digital and mobile governance laboratory).

Fig.6 Spatial traceability analysis of potential sources of PM_2.5 in the Chang-Zhu-Tan urban agglomeration.

Fig.7 Temporal variation of four major heavy metal contents in Xiangjiang River (Each line represents a city in Hunan. CS, ZZ, XT, YY, HY, CZ, YZ and LD means Changsha, Zhuzhou, Xiangtan, Yueyang, Hengyang, Chenzhou, Yongzhou, and Loudi, respectively.).

Fig.8 Smart city strategy index.

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