Land value results from the site's desirability and economic value, as well as the availability of essential
facilities. Understanding the spatial variation and determinants of prevailing land prices is crucial for urban
planners and policymakers, given that land value, infrastructure availability, and proximity to public services
are interrelated. To this end, we used 938 datasets of land lease prices per square meter from an online
source. Additionally, geographic coordinates for each neighborhood association, the lowest level of city
administration (Woredas), were collected from Google Earth. The data was analyzed using both statistical
and geostatistical methods. The results of the Hedonic Pricing Model (HPM) indicate that plot area, land
zone, land grade, building height, lease benchmark price, advance payment, and distance from the city center
significantly influence the land prices. On the other hand, the spatial autocorrelation analysis revealed
clusters of similar lease prices across various geographic areas of the city. High lease prices were
concentrated in the city center, while the clusters of low land prices were randomly distributed at the
periphery. The insights from this study contribute to the capture of land value resulting from public actions.
Besides, the findings have practical implications for urban planners in making site-selection decisions for
urban development projects and in fostering equitable and sustainable infrastructure provision. Moreover,
real estate buyers, developers, and appraisers have different interests in land marketing. Thus, the study's
findings are also crucial for understanding potential hot and cold areas of land value, as well as the driving
factors of land value variability across the city. EVERYBODY PLANS ... SOMETIMES. Cherish Heritage, Plan Now, Create a Better Future! Proceedings of REAL CORP 2026, 31st International Conference on Urban Development and Regional Planning in the Information Society, 851-861