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  4. Using Logistic Regression to Predict Access to Essential Services: Electricity and Internet in Nouakchott, Mauritania
 
research article

Using Logistic Regression to Predict Access to Essential Services: Electricity and Internet in Nouakchott, Mauritania

Abdem, Seyid Abdellahi Ebnou
•
Chenal, Jerome  
•
Diop, El Bachir
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December 1, 2023
Sustainability

This study employs a logistic regression model to offer an in-depth understanding of disparities in the access to essential urban services, specifically focusing on electricity and Internet services, in Nouakchott, Mauritania. Through a comprehensive analysis of demographic, geographic, and socioeconomic data, we identify key determinants of access to these utilities. Our findings reveal that the geographic location within the city, particularly in the western regions, and home ownership, significantly bolster the likelihood of having electricity. Conversely, women are found to be disadvantaged in this regard. For Internet access, income level and education, particularly at the Bachelor's level, emerged as significant predictors. This research not only sheds light on the intricate landscape of service provision in Nouakchott but also offers actionable insights for equitable development. These results empower both policymakers and citizens, marking a step toward transforming Nouakchott into a smarter, more inclusive urban environment.

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Type
research article
DOI
10.3390/su152316197
Web of Science ID

WOS:001116305800001

Author(s)
Abdem, Seyid Abdellahi Ebnou
Chenal, Jerome  
Diop, El Bachir
Azmi, Rida
Adraoui, Meriem
Koumetio, Cedric Stephane Tekouabou
Date Issued

2023-12-01

Publisher

MDPI

Published in
Sustainability
Volume

15

Issue

23

Article Number

16197

Subjects

Life Sciences & Biomedicine

•

Urban Services

•

Electricity Access

•

Internet Access

•

Logistic Regression

•

Nouakchott

•

Mauritania

•

West Africa

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SHS-ENS  
Available on Infoscience
February 23, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/205192
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