Identifying Vulnerable Communities for Targeted Emergency Planning in Al Haouz, Marrakech, Morocco

Abstract. This study develops a data-driven framework to identify vulnerable communes and select pilot sites for field surveys in the Al Haouz region. Six indicators—population density, elderly rate, children rate, number of households, disability rate, and availability of survey data—were integrated using the Entropy Weighting Method. A composite vulnerability score and spatial mapping were produced, highlighting priority communes. Seven communes were selected for field data collection, ensuring geographic diversity and feasibility. This approach supports an objective and scalable emergency planning process for disaster-prone regions, particularly for earthquakes.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-01-15
DOI
https://doi.org/10.5194/isprs-archives-xlviii-4-w17-2025-115-2026
Primary Topic
Disaster Management and Resilience
Type
article
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article

Identifying Vulnerable Communities for Targeted Emergency Planning in Al Haouz, Marrakech, Morocco

Mehdi Maanan, Zineb El Faraj, Safia Loulad, Hakima Zair et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Disaster Management and Resilience
article

Identifying Vulnerable Communities for Targeted Emergency Planning in Al Haouz, Marrakech, Morocco

Mehdi Maanan, Zineb El Faraj, Safia Loulad, Hakima Zair, Safaâ Meknassi, Hassan Rhinane
article en

Abstract

Abstract. This study develops a data-driven framework to identify vulnerable communes and select pilot sites for field surveys in the Al Haouz region. Six indicators—population density, elderly rate, children rate, number of households, disability rate, and availability of survey data—were integrated using the Entropy Weighting Method. A composite vulnerability score and spatial mapping were produced, highlighting priority communes. Seven communes were selected for field data collection, ensuring geographic diversity and feasibility. This approach supports an objective and scalable emergency planning process for disaster-prone regions, particularly for earthquakes.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-4/W17-2025
University of Hassan II Casablanca (MA)
Climate action
Openalex Percentile: Top 89%
Disaster Management and Resilience
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Identifying Vulnerable Communities for Targeted Emergency Planning in Al Haouz, Marrakech, Morocco — Mehdi Maanan, Zineb El Faraj, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2026) | TGRS Research Map | TGRS