Mr. AYOUB OUCHLIF
Urban Management and Legal Affairs, Souss Massa Regional Agency for Urban Planning and Housing, Agadir, Souss-Massa, Morocco
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Academic Career Length
3Years (2024-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications28 June 2024
Book Chapter
AYOUB OUCHLIFHHHicham Hajji
Hicham Hajji
HKHamid Khalifi
Hamid KhalifiKAKenza Aitelkadi
Kenza Aitelkadi
The El Haouz 2023 earthquake caused extensive damage and displaced many people. A strategic roadmap is necessary for successful adoption of advanced technologies in the post-earthquake context. Land prospection is a critical step in reconstruction, but it can encounter obstacles such as limited land availability, geological and environmental risks, and social and economic constraints. This study explores the potential of geospatial artificial intelligence (GeoAI) in modernizing land prospection in post-earthquake contexts. A systematic review of literature identified previous GeoAI applications in post-earthquake interventions. The findings indicate that GeoAI can significantly contribute to land selection by providing accurate and real-time information on terrain features, hazards, and limitations. The study proposes a methodological framework for integrating GeoAI into post-earthquake land selection challenges based on lessons learned from prior experiences. The implications of this study are significant for decision-makers, practitioners, and researchers in the field. Request access from your librarian to read this chapter's full text.
2 October 2025
Book Chapter
17 January 2025
Book Chapter
AYOUB OUCHLIFOKOumaima Kabba
Oumaima Kabba
MGMajda Guendour
Majda Guendour
HHHicham Hajji
Hicham Hajji
KAKenza Aitelkadi
Kenza Aitelkadi
In this study, the authors aim to explore the potential of machine learning (ML) in real estate valuation, particularly in Morocco where challenges include intelligent and sustainable valuation methods and transitioning to smart urban planning aligned with the eleventh sustainable development goal. To tackle these, they analyzed, processed, and tested seven ML architectures using real estate ads from Casablanca and Rabat collected over three months (April to June 2022). Support vector regression (SVR) led with 92.6% accuracy, followed by neural networks at 90%, then random forest, gradient boosting, XGBoost, and ridge and lasso regressions. SVR, a validated model, produced predictions depicted in an interactive thematic map showing their distribution across the two cities, underscoring the influence of digital real estate on conventional valuation methods.
About Me
Ayoub Ouchlif is currently a PhD student in Engineering Sciences at the Research Unit in Geospatial Technologies for Intelligent Decision-Making, IAV Hassan II, Rabat, Morocco. He simultaneously serves as Head of the Legal Affairs and Territorial Monitoring Division within the Department of Urban Management and Legal Affairs at the Urban Agency of Taroudannt-Tiznit-Tata, having previously held the position of Head of the GIS and Outreach Service in the same agency's Department of Urban Planning and Land Affairs. His academic background combines a Baccalaureate in Life and Earth Sciences, a University Diploma in Computer Engineering (EST Meknes), a Professional Bachelor's degree in Geoinformation and Territorial Modeling (Faculty of Sciences, Meknes), and a specialized Master's degree in Geospatial Sciences and Land Governance (School of Geomatic Sciences and Topographic Engineering, IAV Hassan II). Prior to joining the public sector, he worked in the private sector across environmental impact assessment, agricultural mapping, GIS software development, and topography. His current research interests focus on geospatial data governance, Spatial Data Lakehouse architectures, and territorial decision-support systems for public planning institutions.