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Towards sustainable smart cities: An empirical comparative assessment and development pattern optimization in China

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成果类型:
期刊论文
作者:
Li, Xia*;Fong, Patrick S. W.;Dai, Shengli;Li, Yingchun
通讯作者:
Li, Xia
作者机构:
[Li, Xia] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Hubei, Peoples R China.
[Fong, Patrick S. W.] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong 999077, Peoples R China.
[Li, Yingchun; Dai, Shengli] Cent China Normal Univ, Coll Publ Adm, Wuhan 430079, Hubei, Peoples R China.
通讯机构:
[Li, Xia] C
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
Assessment processing model;BP neural network;Development pattern;Principal component analysis;Sustainable smart city
期刊:
Journal of Cleaner Production
ISSN:
0959-6526
年:
2019
卷:
215
页码:
730-743
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71503099, 71871102]; Hubei Province Natural Science Fund of China [2015CFB396]; Hubei Chenguang Talented Youth Development Foundation
机构署名:
本校为第一且通讯机构
院系归属:
公共管理学院
信息管理学院
摘要:
Dramatically increased societal demands on the municipal services that contradict environmental protection and information processing capability oriented to resource utilization efficiency suffer from opposing simultaneous requirements. The smart city provides better solutions for urban areas which are increasing at an unprecedented speed. This paper presents an empirical study carried out to assess and analyze the development pattern of 35 smart cities in China using the principal component analysis (PCA) and back propagation (BP) neural network techniques. The proposed PCA-BP neural network ...

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