Scipediacontent: Scipediacontent moved page Draft Content 782095017 to Zhang et al 2017e

2021-02-16T10:30:35Z

Scipediacontent moved page Draft Content 782095017 to Zhang et al 2017e

Scipediacontent: Created page with " == 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 activitie..."

2021-02-16T10:30:31Z

Created page with " == 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 activitie..."

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== 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.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1007/s11036-017-0832-y http://dx.doi.org/10.1007/s11036-017-0832-y]

* [http://hdl.handle.net/11585/619240 http://hdl.handle.net/11585/619240]

* [https://hal.sorbonne-universite.fr/hal-01680558 https://hal.sorbonne-universite.fr/hal-01680558]

* [http://link.springer.com/article/10.1007/s11036-017-0832-y/fulltext.html http://link.springer.com/article/10.1007/s11036-017-0832-y/fulltext.html],
: [http://link.springer.com/content/pdf/10.1007/s11036-017-0832-y.pdf http://link.springer.com/content/pdf/10.1007/s11036-017-0832-y.pdf],
: [http://dx.doi.org/10.1007/s11036-017-0832-y http://dx.doi.org/10.1007/s11036-017-0832-y] under the license http://www.springer.com/tdm

* [https://dblp.uni-trier.de/db/journals/monet/monet23.html#TseZLP18 https://dblp.uni-trier.de/db/journals/monet/monet23.html#TseZLP18],
: [https://link.springer.com/article/10.1007/s11036-017-0832-y https://link.springer.com/article/10.1007/s11036-017-0832-y],
: [https://hal.archives-ouvertes.fr/hal-01680558 https://hal.archives-ouvertes.fr/hal-01680558],
: [http://doi.org/10.1007/s11036-017-0832-y http://doi.org/10.1007/s11036-017-0832-y],
: [https://doi.org/10.1007/s11036-017-0832-y https://doi.org/10.1007/s11036-017-0832-y],
: [https://academic.microsoft.com/#/detail/2593528756 https://academic.microsoft.com/#/detail/2593528756]

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Zhang et al 2017e - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 782095017 to Zhang et al 2017e

Scipediacontent: Created page with " == 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 activitie..."