Best Practices and Applications of GIS-Based Real Estate Databases: A Systematic Review

• Toh Ming Liang

  School of Built Environment, University of Technology Sarawak, Jalan University, 96000 Sibu, Sarawak, Malaysia

• Tan Yu Tian

  School of Built Environment, University of Technology Sarawak, Jalan University, 96000 Sibu, Sarawak, Malaysia

• Thah Lieng Hin

  School of Built Environment, University of Technology Sarawak, Jalan University, 96000 Sibu, Sarawak, Malaysia

• Nur Azwani Binti Adbullah

  School of Built Environment, University of Technology Sarawak, Jalan University, 96000 Sibu, Sarawak, Malaysia

• Zhang Yi Ke

  School of Built Environment, University of Technology Sarawak, Jalan University, 96000 Sibu, Sarawak, Malaysia

The real estate sector plays a vital role in economic development. However, decision-making in this sector remains complex due to the multifaceted nature of property valuation, management, and marketing. While Geographic Information Systems (GIS) offer powerful tools for spatial data integration and analysis, their full potential in real estate applications remains underexplored. This study addresses the gap by systematically reviewing best practices in GIS-based real estate databases by identifying the key applications and proposing the key aspects for the best-practice GIS database. This study employs a systematic literature review adhered to the PRISMA framework. A narrative synthesis approach was adopted to organise the application of GIS in real estate into three thematic categories, which are the property valuation, management, and marketing. This is to answer the first research question regarding the applications of GIS-based systems in real estate domains. Next, a conceptual model is proposed, emphasising the best practices in four criteria, viz., data integration and structure, functionality and features, technology and implementation, and data quality and maintenance. Thus, the conceptual model addresses the second research question regarding the best practices in developing and managing GIS-based real estate databases. This study serves as a stepping stone for future research that may explore the development of real estate GIS databases as well as the adoption barriers.

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