| Title |
Meta-analysis of Peer Effects on Smart Cities |
| ID_Doc |
38933 |
| Authors |
Liu, FY; Zhang, YJ; Li, HT; Zhang, C; Deng, W; Shi, Y |
| Title |
Meta-analysis of Peer Effects on Smart Cities |
| Year |
2019 |
| Published |
|
| DOI |
10.1016/j.procs.2019.12.062 |
| Abstract |
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. (C) 2020 The Authors. Published by Elsevier B.V. |
| Author Keywords |
Smart city; Peer effects; Meta-data analysis; ARMAX model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000514081500109 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
https://doi.org/10.1016/j.procs.2019.12.062
|