Abstract
The Nigerian real estate market is among the least transparent globally, characterized by undocumented transactions, unreliable market data, and inadequate property registration systems. This lack of transparency fosters corruption, reduces market efficiency, hinders
socio-economic development, and deters foreign direct investment in the property sector. This study addresses these challenges by exploring the potential integration of Geographic Information Systems (GIS) and Artificial Intelligence (AI) for real estate data capture, storage, analysis, and management to enhance market transparency in Nigeria. It evaluates the current state of transparency in Nigeria's property market and identifies key factors contributing to its opacity. Additionally, the study examines the opportunities that GeoAI
presents for improving market transparency. Insights from this research will be valuable for implementing GeoAI technology in other countries facing similar challenges related to real estate market transparency.
More Information
Divisions: | School of Built Environment, Engineering and Computing |
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Status: | Unpublished |
Refereed: | Yes |
Uncontrolled Keywords: | GeoAI; market transparency; Nigerian real estate market; property data; management |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Adebayo, Adejimi |
Date Deposited: | 18 Mar 2025 14:56 |
Last Modified: | 28 Mar 2025 12:31 |
Event Title: | 4th International Land Management Conference |
Event Dates: | 27-28 Feb 2025 |
Item Type: | Conference or Workshop Item (Paper) |
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