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 i...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2017-10-01
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Series: | EPJ Data Science |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1140/epjds/s13688-017-0120-x |