| Title |
Data-driven Spatial Features Analysis Using Share of Voice in Commercial Area |
| ID_Doc |
41311 |
| Authors |
Wang, SM; Yang, W |
| Title |
Data-driven Spatial Features Analysis Using Share of Voice in Commercial Area |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/WOCC53213.2021.9603244 |
| Abstract |
Smart city strategies are now incorporating new data analytic resources and techniques to respond to the demands created in the urban networks' processes. This research offers new insight into a data-driven approach to knowing the city phenomena based on open data. With the contribution of emerging big data technologies, we explore the real-time virtual settings of the Share of Voice (SOV) data collected from the Google reviews and check-in statistics during "popular times" from online searches and collected business establishment tallies during opening hours. The purpose of this research is to shed light on a more comprehensive method for the employment of technical tools along with established theories involving urban configuration. This research contributes to the interdisciplinary study of urban spatial features from data-driven intelligent city planning and development. |
| Author Keywords |
Data-driven Analysis; Share of Voice; Open Data; Google Review; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000858956300022 |
| WoS Category |
Engineering, Electrical & Electronic; Optics; Telecommunications |
| Research Area |
Engineering; Optics; Telecommunications |
| PDF |
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