| Title |
Social Network Based Crowd Sensing for Intelligent Transportation and Climate Applications |
| ID_Doc |
41700 |
| Authors |
Tse, R; Zhang, LF; Lei, P; Pau, G |
| Title |
Social Network Based Crowd Sensing for Intelligent Transportation and Climate Applications |
| Year |
2018 |
| Published |
Mobile Networks & Applications, 23, 1 |
| DOI |
10.1007/s11036-017-0832-y |
| Abstract |
In recent years, the growing prevalence of social networks makes it possible to utilize human users as sensors to inspect city environment and human activities. Consequently, valuable insights can be gained by applying data mining techniques to the data generated through social networks. In this work, a practical approach to combine data mining techniques with statistical analysis is proposed to implement crowd sensing in a smart city. A case study to analyze the relationship between weather conditions and traffic congestion in Beijing based on tweets posted on Sina Weibo platform is presented to demonstrate the proposed approach. Following the steps of data pre-processing and topic determination, we applied Granger Causality Test to study the causal relationships between weather conditions, traffic congestion and human outdoor activity. The mediation analysis is also implemented to verify human outdoor activity as a mediator variable significantly carrying the influence of good weather to traffic congestion. The result demonstrates that outdoor activity serves as a mediator transmitting the effect of good weather on traffic congestion. In addition, the causes of negative emotion are also studied. |
| Author Keywords |
Smart city; Social networks; Data mining; Weather condition; Traffic congestion; Mediation analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000426896700021 |
| WoS Category |
Computer Science, Hardware & Architecture; Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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