Top

Hint

Swipe to navigate through the chapters of this book

Published in:

Read chapter Read first chapter

2021 | OriginalPaper | Chapter

3. Using Public-Private Data to Understand Compliance with Mobility Restrictions in Sierra Leone

Authors : Innocent Ndubuisi-Obi Jr, Ziyu Ran, Yanchao Li, Chenab Ahuja Navalkha, Sarah Williams, Lily Tsai

Published in: Urban Informatics and Future Cities

Publisher: Springer International Publishing

Abstract

This research investigates the potential for using call detail records (CDRs) data to determine public compliance to two government mandated confinement measures in Sierra Leone: a three day lockdown and fourteen day inter district travel restriction during the first wave of the COVID19 pandemic in April 2020. We use a distance-based mobility indicator, the average distance travelled per district per day to determine compliance to government mandates. The measure is used to proxy the change in mobility compared to a baseline period for both inter- and intra-district trips in Sierra Leone. Our results show significant compliance across all districts in Sierra Leone. We also show that the intensity of compliance is influenced by poverty and population. Our work demonstrates how using CDR-based mobility analysis was carried out in Sierra Leone during the COVID19 crisis to aid policy makers in understanding the effectiveness of their COVID19 mitigation measures.

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 69.000 Bücher
über 500 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 50.000 Bücher
über 380 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 58.000 Bücher
über 300 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

previous chapter Smart Governance and COVID-19 Control in Wuhan, China

next chapter Development of a Spatio-Temporal Analysis Method to Support the Prevention of COVID-19 Infection: Space-Time Kernel Density Estimation Using GPS Location History Data

Bargain O, Aminjonov U (2020) Poverty and COVID-19 in Developing Countries. Groupe de Recherche en Economie Théorique et Appliquée (GREThA). Available at: https://ideas.repec.org/p/grt/bdxewp/2020-08.html

Caceres N, Romero LM, Benitez FG (2020) Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys. Transportmetrica A: Transp Sci 16(3):574–601. https://doi.org/10.1080/23249935.2020.1720857 CrossRef

Cottrill CD et al (2013) Future mobility survey: experience in developing a smartphone-based travel survey in Singapore. Transp Res Record: J Transp Res Board 2354(1):59–67. https://doi.org/10.3141/2354-07 CrossRef

Doyle C et al (2019) Predicting complex user behavior from CDR based social networks. Inf Sci 500:217–228. https://doi.org/10.1016/j.ins.2019.05.082 CrossRef

Iacus S et al (2020) Mapping Mobility Functional Areas (MFA) using mobile positioning data to inform COVID-19 policies: a European regional analysis. Available at: https://op.europa.eu/publication/manifestation_identifier/PUB_KJNA30291ENN. Accessed 26 October 2020

Jiang S, Ferreira J, Gonzalez MC (2017) Activity-based human mobility patterns inferred from mobile phone data: a case study of Singapore. IEEE Trans Big Data 3(2):208–219. https://doi.org/10.1109/TBDATA.2016.2631141 CrossRef

Leo Y et al (2016) Socioeconomic correlations and stratification in social-communication networks. J R Soc Interface 13(125):20160598. https://doi.org/10.1098/rsif.2016.0598 CrossRef

Liu L et al (2009) Understanding individual and collective mobility patterns from smart card records: a case study in Shenzhen. In: 2009 12th International IEEE conference on intelligent transportation systems. 2009 12th International IEEE Conference on Intelligent Transportation Systems (ITSC), St. Louis: IEEE, pp. 1–6. https://doi.org/10.1109/itsc.2009.5309662

McDonald SM (2016) Ebola: a big data disaster privacy, property, and the law of disaster experimentation. The Centre for Internet and Society, Bengaluru and Delhi, India

Östh J, Shuttleworth I, Niedomysl T (2018) Spatial and temporal patterns of economic segregation in Sweden’s metropolitan areas: a mobility approach. Environ Plann A: Econ Space 50(4):809–825. https://doi.org/10.1177/0308518X18763167 CrossRef

Phithakkitnukoon S, Smoreda Z, Olivier P (2012) Socio-geography of human mobility: a study using longitudinal mobile phone data. PLoS ONE. Edited by Y. Moreno, 7(6):e39253. https://doi.org/10.1371/journal.pone.0039253

Ravallion M (2020) Could pandemic lead to famine?. Project Syndicate, 15 April. Available at: https://www.project-syndicate.org/commentary/covid19-lockdowns-threaten-famine-in-poor-countries-by-martin-ravallion-2020-04

Santamaria C et al (2020) Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data: a European regional analysis. Available at: https://op.europa.eu/publication/manifestation_identifier/PUB_KJNA30290ENN. Accessed 26 October 2020

Silm S, Ahas R, Mooses V (2018) Are younger age groups less segregated? Measuring ethnic segregation in activity spaces using mobile phone data. J Ethnic Migr Stud 44(11):1797–1817. https://doi.org/10.1080/1369183X.2017.1400425 CrossRef

Wang Z, He SY, Leung Y (2018) Applying mobile phone data to travel behaviour research: a literature review. Travel Behav Soc 11:141–155. https://doi.org/10.1016/j.tbs.2017.02.005 CrossRef

Wesolowski A et al (2012) Quantifying the impact of human mobility on malaria. Science (New York, N.Y.), 338(6104), pp. 267–270. https://doi.org/10.1126/science.1223467

Williams NE et al (2015) Measures of human mobility using mobile phone records enhanced with GIS data. PLOS ONE. Edited by S. Gómez, 10(7):e0133630. https://doi.org/10.1371/journal.pone.0133630

Xu Y et al (2018) Human mobility and socioeconomic status: analysis of Singapore and Boston. Comput Environ Urban Syst 72:51–67. https://doi.org/10.1016/j.compenvurbsys.2018.04.001 CrossRef

Yechezkel M et al (2020) Human mobility and poverty as key drivers of COVID-19 transmission and control. preprint. Epidemiology. https://doi.org/10.1101/2020.06.04.20112417

Zheng Y, Xie X (2011) Learning travel recommendations from user-generated GPS traces. ACM Trans Intell Syst Technol 2(1):1–29. https://doi.org/10.1145/1889681.1889683 CrossRef

Zhou C, Xu Z, Huang B (2010) Activity recognition from call detail record: relation between mobile behavior pattern and social attribute using hierarchical conditional random fields. In: 2010 IEEE/ACM Int’l conference on green computing and communications & Int’l conference on cyber, physical and social computing. Int’l conference on cyber, physical and social computing (CPSCom), Hangzhou, China: IEEE, pp 605–611. https://doi.org/10.1109/greencom-cpscom.2010.141

Title: Using Public-Private Data to Understand Compliance with Mobility Restrictions in Sierra Leone
Authors: Innocent Ndubuisi-Obi Jr
Ziyu Ran
Yanchao Li
Chenab Ahuja Navalkha
Sarah Williams
Lily Tsai
Publisher: Springer International Publishing
Book: Urban Informatics and Future Cities
Print ISBN: 978-3-030-76058-8

Electronic ISBN: 978-3-030-76059-5

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-76059-5_3

Springer Professional

Hint

Swipe to navigate through the chapters of this book

Abstract

Please log in to get access to this content

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner