| Issue |
E3S Web Conf.
Volume 489, 2024
4th International GIRE3D Congress “Participatory and Integrated Management of Water Resources in Arid Zones” (GIRE3D 2023)
|
|
|---|---|---|
| Article Number | 04017 | |
| Number of page(s) | 8 | |
| Section | Numerical Modeling, Remote Sensing, Geomatic & Application of Intelligence Artificielle | |
| DOI | https://doi.org/10.1051/e3sconf/202448904017 | |
| Published online | 09 February 2024 | |
Fit-For-Purpose Cadaster Architecture for Moroccan Land-Use Planner: Proposal and Perception
1 Systems Engineering Laboratory, Kenitra ENSA, Ibn Tofail University, Morocco
2 Natural Resources Geosciences Laboratory, Kenitra Faculty of Sciences, Ibn Tofail University, Morocco
* Corresponding author: youssef.rissouni@gmail.com
The influx of foreign investment in Morocco necessitates a robust and integrated land information system to support informed decision-making and ensure sustainable growth. The fit-for-purpose cadastre emerges as a promising solution, offering transparency, efficiency, and data-driven land management. However, its full potential remains untapped due to persistent challenges: fragmented data across government agencies, opaque information exchange mechanisms, and outdated infrastructure.
This research delves into these challenges by investigating the perspectives of diverse stakeholders crucial to successful cadastre implementation: land tenure specialists, public policymakers, spatial planners, and investors. Through in-depth interviews, we illuminate the current state of land information management in Morocco, pinpoint critical roadblocks hindering transparency, efficiency, and sustainability, and propose a multi-pronged approach to unlock the transformative potential of a fit-for-purpose cadastre system.
Key words: Big Data Analytics / Fit-for-purpose Cadastre / Land Information Management / Data Governance / Sustainable Development
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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