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Meta-analysis of Peer Effects on Smart Cities
Author(s) -
Fangyao Liu,
Yuejin Zhang,
Haotian Li,
Chen Zhang,
Wei Deng,
Yong Shi
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.12.062
Subject(s) - smart city , computer science , urban planning , population , data science , computer security , internet of things , sociology , civil engineering , engineering , demography
Smart city is a solution for urban planning. The urban population would grow to 6.4 billion by 2050. Smart city is an efficient planning method for future cities. Smart city uses data and technology to improve citizen’s lives and business. Smart city leaders are playing an insightful role in guiding other smart city followers. This research uses the peer effects concept from social science to investigate the relationship between smart city and its peers. This research focuses on the overall smart city peer effects. Also, based on the smart city development levels, three groups (High, medium, and low level) are studied. This research applies an ARMAX model to identify peer effects. The results show the overall and medium level peer effects exist.

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