This study addresses the seismic risk and vulnerability of urban building clusters, which are crucial indicators for assessing urban seismic resilience. The research focuses on developing empirical vulnerability and risk models using real seismic loss data from typical building clusters. However, the existing models often rely on discrete data points within a city, neglecting the coupling effect of multiple intensity measures, which limits the accuracy of the established seismic hazard models. To address this, the study proposes a multidimensional parameter seismic risk and vulnerability model that considers updated damage states. Using field inspection data from the 2008 Wenchuan earthquake in China, an optimized hazard and vulnerability model was developed for all 8669 buildings in Dujiangyan city. An innovative structural vulnerability membership index was introduced to estimate the correlation between typical damage states, and vulnerability correlation parameter models were developed. An improved nonlinear vulnerability regression model considering hybrid intensity measures was proposed, and vulnerability comparison curves and matrices were generated based on empirical damage data. Additionally, an optimized seismic damage index calculation model was developed for five typical building portfolios in Dujiangyan city. The study highlights the importance of comprehensive consideration of macroseismic and instrumental intensity in evaluating urban earthquake resilience.This study addresses the seismic risk and vulnerability of urban building clusters, which are crucial indicators for assessing urban seismic resilience. The research focuses on developing empirical vulnerability and risk models using real seismic loss data from typical building clusters. However, the existing models often rely on discrete data points within a city, neglecting the coupling effect of multiple intensity measures, which limits the accuracy of the established seismic hazard models. To address this, the study proposes a multidimensional parameter seismic risk and vulnerability model that considers updated damage states. Using field inspection data from the 2008 Wenchuan earthquake in China, an optimized hazard and vulnerability model was developed for all 8669 buildings in Dujiangyan city. An innovative structural vulnerability membership index was introduced to estimate the correlation between typical damage states, and vulnerability correlation parameter models were developed. An improved nonlinear vulnerability regression model considering hybrid intensity measures was proposed, and vulnerability comparison curves and matrices were generated based on empirical damage data. Additionally, an optimized seismic damage index calculation model was developed for five typical building portfolios in Dujiangyan city. The study highlights the importance of comprehensive consideration of macroseismic and instrumental intensity in evaluating urban earthquake resilience.