<![CDATA[Land price modeling plays a key role in supporting spatial planning and sustainable development. This study focuses on Syiah Kuala District, Banda Aceh, where post-2004 tsunami residential growth has transformed land-use patterns and prices that have not yet been systematically mapped or analyzed. This study used a quantitative deductive approach, employing the Hedonic Pricing Model (HPM) and multiple linear regression to examine the influence of 14 predictor variables on land prices based on 61 observation points from the 2025 NJOP dataset. Spatial network analysis measured distances between sample points and facilities. The results indicate that the regression model is statistically significant, with moderate explanatory power and an Adjusted R-square of 0.375. Distance to supermarkets (X4) and hospitals (X10) emerged as the most significant determinants, both with negative coefficients, indicating that land closer to these facilities commands higher prices because of access to essential services. Public facility variables and disaster risk (X14) were not statistically significant. These findings suggest that accessibility and hazard exposure alone cannot fully explain land price variation in post-tsunami Banda Aceh. Future research should consider risk perception, institutional trust, and adaptive capacity.]]>
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