Work

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

Year: 2026

Type: article

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.

Source: The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

DOI: 10.5194/isprs-archives-xlviii-4-w17-2025-115-2026

Authors: Zineb El Faraj, Hakima Zair, Hassan Rhinane, Safaâ Meknassi, Safia Loulad, Mehdi Maanan

Institution: University of Hassan II Casablanca

Language: English

Topic: Disaster Management and Resilience

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W7124290178