Inferring and Modeling Migration Flows Using Mobile Phone Network Data
© 2013 IEEE. Estimating migration flows and forecasting future trends is important, both to understand the causes and effects of migration and to implement policies directed at supplying particular services. Over the years, less research has been done on modeling migration flows than the efforts all...
Saved in:
Main Authors: | Soranan Hankaew, Santi Phithakkitnukoon, Merkebe Getachew Demissie, Lina Kattan, Zbigniew Smoreda, Carlo Ratti |
---|---|
Format: | Journal |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85075789712&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67763 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Trip Distribution Modeling Using Mobile Phone Data: Emphasis on Intra-Zonal Trips
by: Merkebe Getachew Demissie, et al.
Published: (2018) -
Methods for inferring route choice of commuting trip from mobile phone network data
by: Pitchaya Sakamanee, et al.
Published: (2020) -
Understanding human mobility patterns in a developing country using mobile phone data
by: Merkebe Getachew Demissie, et al.
Published: (2019) -
Inferring social influence in transport mode choice using mobile phone data
by: Santi Phithakkitnukoon, et al.
Published: (2018) -
Inferring social influence in transport mode choice using mobile phone data
by: Santi Phithakkitnukoon, et al.
Published: (2018)