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The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network
16 references·0 citing·41 second hop
The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network (2022)The fallacy of the closest antenna: Towar…Transport mode detection based on mobile phone network data: A systematic review (2019)Transport mode detection base…Inferring dynamic origin-destination flows by transport mode using mobile phone data (2019)Inferring dynamic origin-dest…Location based services: ongoing evolution and research agenda (2018)Location based services: ongo…On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)On data processing required t…Applying mobile phone data to travel behaviour research: A literature review (2017)Applying mobile phone data to…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Urban sensing: Using smartphones for transportation mode classification (2014)Urban sensing: Using smartpho…Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Urban Sensing Using Mobile Ph…Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Exploring Universal Patterns …Estimating human trajectories and hotspots through mobile phone data (2014)Estimating human trajectories…Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records (2013)Understanding monthly variabi…AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data (2013)AllAboard: A System for Explo…Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Evaluating passive mobile positioning data for tourism surveys: An Estonian case study (2007)Evaluating passive mobile pos…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…Evaluating the experiences and benefits gained by tourists visiting a socio-industrial heritage museum: An application of ASEB grid analysis to blists hill open-air museum, the ironbridge gorge museum, United Kingdom (1995)Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set (2000)First and Repeat Visitor Behaviour: GPS Tracking and GIS Analysis in Hong Kong (2011)The use of tracking technologies in tourism research: the first decade (2016)Big data in tourism research: A literature review (2018)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. 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References

  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2014Development of origin–destination matrices using mobile phone call data508 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2017Applying mobile phone data to travel behaviour research: A literature review368 cited
  • 2014Urban Sensing Using Mobile Phone Network Data: A Survey of Research334 cited
  • 2014Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data329 cited
  • 2007Evaluating passive mobile positioning data for tourism surveys: An Estonian case study320 cited
  • 2018Location based services: ongoing evolution and research agenda317 cited
  • 2017On data processing required to derive mobility patterns from passively-generated mobile phone data248 cited
  • 2013Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records247 cited
  • 2014Estimating human trajectories and hotspots through mobile phone data212 cited
  • 2019Transport mode detection based on mobile phone network data: A systematic review205 cited
  • 2019Inferring dynamic origin-destination flows by transport mode using mobile phone data

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183 cited
  • 2014Urban sensing: Using smartphones for transportation mode classification139 cited
  • 2013AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data123 cited
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