Enhancing Property Valuation in Ruwa, Harare, Zimbabwe, using Kobo Collect and GIS

Manuel Ndebele; Elvis Benhura

doi:10.36948/ijfmr.2023.v05i06.8969

Enhancing Property Valuation in Ruwa, Harare, Zimbabwe, using Kobo Collect and GIS

Author(s)	Manuel Ndebele, Elvis Benhura
Country	Zimbabwe
Abstract	The escalating urbanization of Ruwa, a burgeoning suburb on the outskirts of Harare, Zimbabwe, has catalyzed an exigent demand for precise property valuation. Traditional valuation methods have struggled amidst the challenges of manual data collection, data inaccuracies, and protracted analyses. To address these constraints, a pioneering solution emerged at the crossroads of modern data collection and geospatial analysis. The fusion of Kobo Collect and Geographic Information Systems (GIS) presents a transformative avenue to surmount these challenges. The conventional practices faced hurdles marked by manual data collection's limitations. Inherent subjectivity and potential errors from pen-and-paper surveys posed challenges to data integrity. Moreover, as Ruwa underwent rapid changes, the inability to update data in real-time diminished valuation accuracy. Slow analysis processes also constrained timely access to property valuation insights. The integration of Kobo Collect and GIS provides a solution aligned with Ruwa's urban evolution. Kobo Collect's agile data collection forms, accessible on mobile devices, amplify data accuracy and practicality. The assimilation of GIS adds a spatial layer, and geotagging properties, and facilitates spatial analyses, unraveling intricate interplays of property values and geographic context. The outcomes encompass heightened data accuracy, as digital data entry minimizes errors. Efficiency gains result from real-time data entry and expedited analyses. Spatial insights from GIS analysis divulge patterns influencing property values. Stakeholders, empowered with informed decision-making capabilities, envision strategic urban planning and property development. The endeavor was not without challenges. Technical training ensured optimal tool utilization, while data privacy measures secured sensitive information.
Keywords	Property valuation, Kobo Collect, GIS integration, Data accuracy, Spatial analysis
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-12-26
Cite This	Enhancing Property Valuation in Ruwa, Harare, Zimbabwe, using Kobo Collect and GIS - Manuel Ndebele, Elvis Benhura - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8969
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.8969
Short DOI	https://doi.org/gs98wc

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Enhancing Property Valuation in Ruwa, Harare, Zimbabwe, using Kobo Collect and GIS

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