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

Author

Listed:
  • Seyid Abdellahi Ebnou Abdem

    (Center of Urban Systems (CUS), University Mohammed VI Polytechnic (UM6P), Benguerir 43150, Morocco)

  • Jérôme Chenal

    (Center of Urban Systems (CUS), University Mohammed VI Polytechnic (UM6P), Benguerir 43150, Morocco
    Urban and Regional Planning Community (CEAT), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland)

  • El Bachir Diop

    (Center of Urban Systems (CUS), University Mohammed VI Polytechnic (UM6P), Benguerir 43150, Morocco)

  • Rida Azmi

    (Center of Urban Systems (CUS), University Mohammed VI Polytechnic (UM6P), Benguerir 43150, Morocco)

  • Meriem Adraoui

    (Center of Urban Systems (CUS), University Mohammed VI Polytechnic (UM6P), Benguerir 43150, Morocco)

  • Cédric Stéphane Tekouabou Koumetio

    (Center of Urban Systems (CUS), University Mohammed VI Polytechnic (UM6P), Benguerir 43150, Morocco)

Abstract

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.

Suggested Citation

  • Seyid Abdellahi Ebnou Abdem & Jérôme Chenal & El Bachir Diop & Rida Azmi & Meriem Adraoui & Cédric Stéphane Tekouabou Koumetio, 2023. "Using Logistic Regression to Predict Access to Essential Services: Electricity and Internet in Nouakchott, Mauritania," Sustainability, MDPI, vol. 15(23), pages 1-28, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16197-:d:1285329
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    References listed on IDEAS

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