Working Paper

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

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collection.link.5
https://openknowledge.worldbank.org/handle/10986/9
collection.name.5
Policy Research Working Papers
dc.contributor.author
Matekenya, Dunstan
dc.contributor.author
Espinet Alegre, Xavier
dc.contributor.author
Arroyo Arroyo, Fatima
dc.contributor.author
Gonzalez, Marta
dc.date.accessioned
2021-01-21T17:24:34Z
dc.date.available
2021-01-21T17:24:34Z
dc.date.issued
2021-01
dc.date.lastModified
2022-08-07T12:10:02Z
dc.description.abstract
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 penetration rate of mobile phones even in low-income regions. Most recently, in the effort to mitigate the spread of COVID-19, these data can be used and explored to track mobility patterns and monitor the results of lockdown measures. However, as rightly noted by other scholars, most of the work has been limited to proofs of concept or academic work: it is hard to point to any real-world use cases. In contrast, this paper uses mobile data to obtain insight on urban mobility patterns, such as number of trips, average trip length, and relation between poverty, mobility, and areas of Freetown, the capital of Sierra Leone. These data were used in preparation of an urban mobility lending operation. Additionally, the paper describes good practices in the following areas: accessing mobile data from telecom operators, frameworks for generating origin and destination matrices, and validation of results.
en
dc.identifier
http://documents.worldbank.org/curated/en/224761611175801192/Using-Mobile-Data-to-Understand-Urban-Mobility-Patterns-in-Freetown-Sierra-Leone
dc.identifier.uri
http://hdl.handle.net/10986/35033
dc.language
English
dc.publisher
World Bank, Washington, DC
dc.relation.ispartofseries
Policy Research Working Paper;No. 9519
dc.rights
CC BY 3.0 IGO
dc.rights.holder
World Bank
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/igo
dc.subject
URBAN TRANSPORT
dc.subject
RESILIENT TRANSPORT
dc.subject
MOBILE DATE
dc.subject
BIG DATA
dc.subject
CDRs
dc.subject
DISASTER RESPONSE
dc.subject
URBAN PLANNING
dc.subject
POVERTY
dc.subject
MOBILITY
dc.title
Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone
en
dc.type
Working Paper
en
okr.date.disclosure
2021-01-20
okr.doctype
Publications & Research
okr.doctype
Publications & Research :: Policy Research Working Paper
okr.docurl
http://documents.worldbank.org/curated/en/224761611175801192/Using-Mobile-Data-to-Understand-Urban-Mobility-Patterns-in-Freetown-Sierra-Leone
okr.googlescholar.linkpresent
yes
okr.identifier.doi
10.1596/1813-9450-9519
okr.identifier.externaldocumentum
090224b0881eb024_1_0
okr.identifier.internaldocumentum
32765205
okr.identifier.report
WPS9519
okr.imported
true
en
okr.language.supported
en
okr.pdfurl
http://documents.worldbank.org/curated/en/224761611175801192/pdf/Using-Mobile-Data-to-Understand-Urban-Mobility-Patterns-in-Freetown-Sierra-Leone.pdf
en
okr.region.administrative
Africa
okr.region.administrative
Africa Western and Central (AFW)
okr.region.country
Sierra Leone
okr.statistics.combined
925
okr.statistics.dr
224761611175801192
okr.topic
Transport :: Transport Economics Policy & Planning
okr.topic
Information and Communication Technologies :: ICT Economics
okr.topic
Information and Communication Technologies :: Information Technology
okr.topic
Information and Communication Technologies :: Telecommunications Infrastructure
okr.topic
Poverty Reduction :: Migration and Development
okr.topic
Urban Development :: Transport in Urban Areas
okr.unit
Global Indicators Group, Development Economics; and the Transport and Digital Development Global Practice

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