Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10009070,
  title    = {Quantifying Mobility of Urban Inhabitant Based on Social Media Data},
  author    = {Yuyun and  Fritz Akhmad Nuzir and  Bart Julien Dewancker},
  country   = {Japan},
  institution={The University of Kitakyushu},
  abstract  = {Check-in locations on social media provide information about an individual’s location. The millions of units of data generated from these sites provide knowledge for human activity. In this research, we used a geolocation service and users’ texts posted on Twitter social media to analyze human mobility. Our research will answer the questions; what are the movement patterns of a citizen? And, how far do people travel in the city? We explore the people trajectory of 201,118 check-ins and 22,318 users over a period of one month in Makassar city, Indonesia. To accommodate individual mobility, the authors only analyze the users with check-in activity greater than 30 times. We used sampling method with a systematic sampling approach to assign the research sample. The study found that the individual movement shows a high degree of regularity and intensity in certain places. The other finding found that the average distance an urban inhabitant can travel per day is as far as 9.6 km.
},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {12},
  number    = {6},
  year      = {2018},
  pages     = {401 - 405},
  ee        = {http://waset.org/publications/10009070},
  url       = {http://waset.org/Publications?p=138},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 138, 2018},
}