LUCA-PV Model: A Predictive Framework for Condominium Value Appreciation Based on Location Accessibility and Urban Connectivity

Global metropolis has experienced an accelerated rise in condominium development over the past two decades, driven by rapid urbanization, land scarcity, and shifting lifestyles toward vertical housing. Regionally, the Philippines lags in the ASEAN real estate transparency index and faces rising urban congestion. A 2023 report by Numbeo ranked Metro Manila among the highest in Asia for commute times, averaging over 56 minutes per day. The integration of data-driven tools in urban real estate evaluation is still in its nascent stages, resulting in a market that relies heavily on developer claims rather than empirical benchmarks. This research addresses these challenges by proposing the LUCA-PV Framework (Location and Urban Connectivity Assessment for Property Value), a predictive model that aims to quantify how spatial variables affect condominium value appreciation. It offers both a theoretical contribution and a practical decision-making tool for developers, investors, and urban planners, particularly in the Philippine context where land use is increasingly contested and competitive. JEL Codes: Keywords: LUCA-PV Model, predictive framework, condominium value appreciation, location accessibility, urban connectivity.