Socialmedia2traffic: derivation of traffic information from social media data

HIGHLIGHTS

• who: Mohammed Zia and colleagues from the HeiGIT gGmbH, Schloss-Wolfsbrunnenweg, Heidelberg, Germany GIScience Research Group, Heidelberg University, Im Neuenheimer Feld, Heidelberg, Germany have published the article: SocialMedia2Traffic: Derivation of Traffic Information from Social Media Data, in the Journal: (JOURNAL) of 13/09/2022
• what: In this study, the possibility of using geo-tagged social media data along with an adapted and approximated road betweenness centrality measure and land-use land-cover point of interest (POI) feature spaces was explored as a potential proxy for vehicle traffic congestion. The authors propose a context-free way . . .
  

   

  

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