Journal article icon

Journal article

Estimating local commuting patterns from geolocated Twitter data

Abstract:

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 exploring the type of measures that can be drawn from data stores such as mobile phone logs, Internet searches and contributions to social media platforms and the extent to which these measures are ...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1140/epjds/s13688-017-0120-x

Authors


More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Oxford college:
Hertford College
Role:
Author
Publisher:
EDP Sciences Publisher's website
Journal:
EPJ Data Science Journal website
Volume:
6
Issue:
1
Article number:
24
Publication date:
2017-10-02
Acceptance date:
2017-09-14
DOI:
ISSN:
2193-1127
Source identifiers:
734847
Keywords:
Pubs id:
pubs:734847
UUID:
uuid:c9f1af39-921c-4f40-95f5-42b1e0bd4f6b
Local pid:
pubs:734847
Deposit date:
2017-10-10

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP