Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone

Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone

In recent years, researchers have demonstrated that digital footprints from mobile phones can be exploited to generate data that are useful for transport planning, disaster response, and other development activities—thanks mainly to the high penetr...

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Bibliographic Details
Main Authors: Matekenya, Dunstan, Espinet Alegre, Xavier, Arroyo Arroyo, Fatima, Gonzalez, Marta
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
URBAN TRANSPORT
RESILIENT TRANSPORT
MOBILE DATE
BIG DATA
CDRs
DISASTER RESPONSE
URBAN PLANNING
POVERTY
MOBILITY
Online Access:http://documents.worldbank.org/curated/en/224761611175801192/Using-Mobile-Data-to-Understand-Urban-Mobility-Patterns-in-Freetown-Sierra-Leone
http://hdl.handle.net/10986/35033

Internet

http://documents.worldbank.org/curated/en/224761611175801192/Using-Mobile-Data-to-Understand-Urban-Mobility-Patterns-in-Freetown-Sierra-Leone
http://hdl.handle.net/10986/35033

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