Sensing Pollution on Online Social Networks: A Transportation Perspective

Rita Tse, Yubin Xiao, Giovanni Pau, Serge Fdida, Marco Roccetti, Gustavo Marfia

研究成果: Article同行評審

15 引文 斯高帕斯(Scopus)

摘要

Transportation policy and planning strategies, as well as Intelligent Transportation Systems (ITS), can all play important roles in decreasing pollution levels and their negative effects. Interestingly, limited effort has been devoted to exploring the potential of social network analysis in such context. Social networks provide direct feedback from people and, hence, potentially valuable information. A post telling how a person feels about pollution at a given time at a given location, could be useful to policy-makers, planners or environmentally-aware ITS designers. This work verifies the feasibility of sensing air pollution from social networks and of integrating such information with real sensors feeds, unveiling how people advertise such phenomenon, acting themselves as smart objects, and how online posts relate to true pollution levels. This work explores a new dimension in pollution sensing for the benefit of environmental and transportation research in future smart cities, confronting over 1,500,000 posts and pollution readings obtained from governmental on-the-field sensors over a one-year span.

原文English
頁(從 - 到)688-707
頁數20
期刊Mobile Networks and Applications
21
發行號4
DOIs
出版狀態Published - 1 8月 2016

指紋

深入研究「Sensing Pollution on Online Social Networks: A Transportation Perspective」主題。共同形成了獨特的指紋。

引用此