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City Intelligence Quotient Evaluation System Using Crowdsourced Social Media Data: A Case Study of the Yangtze River Delta Region, China
| Content Provider | MDPI |
|---|---|
| Author | Wu, Zhiqiang Li, Xiang Zhou, Xingang Yang, Tianren Lu, Ruiyao |
| Copyright Year | 2021 |
| Description | Despite the trending studies on smart city development, how to evaluate the smartness of a city remains unclear. This research aimed to design a smart city evaluation system, named the City Intelligence Quotient (CityIQ) evaluation system, which considers both the hard (e.g., physical infrastructure) and soft sides (e.g., citizens’ perspectives) of smart city development. Based on the two-level structure of the CityIQ evaluation system (i.e., five dimensions and twenty indicators), a list of keywords was defined for automated information scraping in leading social media platforms to obtain volunteered geographic information. Semantic analysis was then used to update the CityIQ evaluations in a timely manner. Fifteen major cities in the Yangtze River Delta region, China, were selected for the empirical study, in which their smartness indices were calculated, traced and compared. Finally, suggestions for collaborative smart agglomerations were put forward. With the CityIQ evaluation system, policy makers can be informed of up-to-date changes in urban smartness levels and, thus, design context-specific collaborative policies to promote smart agglomerations. |
| Starting Page | 702 |
| e-ISSN | 22209964 |
| DOI | 10.3390/ijgi10100702 |
| Journal | ISPRS International Journal of Geo-Information |
| Issue Number | 10 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-15 |
| Access Restriction | Open |
| Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Information and Library Science Smart City Evaluation System Social Media Data Crowdsourcing Citizens |
| Content Type | Text |
| Resource Type | Article |