Estimating local commuting patterns from geolocated Twitter data
The emergence of large stores of transactional data generated by increasing use of digital devices presents a huge opportunity for policymakers to improve their knowledge of the local environment and thus make more informed and better decisions. A research frontier is hence emerging which involves e...
Hlavní autoři: | McNeill, G, Bright, J, Hale, S |
---|---|
Médium: | Journal article |
Vydáno: |
EDP Sciences
2017
|
Podobné jednotky
-
Estimating local commuting patterns from geolocated Twitter data
Autor: Graham McNeill, a další
Vydáno: (2017-10-01) -
Where in the world are you? Geolocation and language identification in twitter
Autor: Graham, M, a další
Vydáno: (2014) -
Estimating traffic disruption patterns with volunteered geographic information
Autor: Camargo, CQ, a další
Vydáno: (2020) -
Commuter Mobility Patterns in Social Media: Correlating Twitter and LODES Data
Autor: Andreas Petutschnig, a další
Vydáno: (2021-12-01) -
Twitter user geolocation method based on single-point toponym matching and local toponym filtering
Autor: Jin XUE, a další
Vydáno: (2023-08-01)