This study proposes a multidimensional parameter seismic risk and vulnerability model that considers the comprehensive impact of macroseismic and instrumental intensity on the vulnerability of typical urban building portfolios. The model incorporates updated damage states and is based on field inspection data from the 2008 Wenchuan earthquake in China. An optimized hazard and vulnerability model was developed for Dujiangyan city, which includes all 8669 buildings. 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 from Dujiangyan city. An optimized seismic damage index calculation model was also developed considering five typical building portfolios in Dujiangyan city. The study highlights the importance of considering the coupling effect of multiple intensity measures in seismic risk and vulnerability models. It emphasizes the need for more accurate data to validate and optimize these models, as current data are mostly discrete points within a city. The proposed models aim to improve the evaluation accuracy of seismic hazard models and provide a basis for predicting and evaluating urban earthquake resilience. The study also discusses the use of various methods, including probability model theory, reliability algorithms, seismic risk models, soft computing technology, Bayesian models, empirical seismic fragility, and analytical seismic vulnerability, to assess and predict the features of seismic hazards, vulnerability, and economic loss of urban building portfolios. The study contributes to the understanding of seismic risk and vulnerability in urban building clusters and provides a reference for improving urban seismic resilience.This study proposes a multidimensional parameter seismic risk and vulnerability model that considers the comprehensive impact of macroseismic and instrumental intensity on the vulnerability of typical urban building portfolios. The model incorporates updated damage states and is based on field inspection data from the 2008 Wenchuan earthquake in China. An optimized hazard and vulnerability model was developed for Dujiangyan city, which includes all 8669 buildings. 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 from Dujiangyan city. An optimized seismic damage index calculation model was also developed considering five typical building portfolios in Dujiangyan city. The study highlights the importance of considering the coupling effect of multiple intensity measures in seismic risk and vulnerability models. It emphasizes the need for more accurate data to validate and optimize these models, as current data are mostly discrete points within a city. The proposed models aim to improve the evaluation accuracy of seismic hazard models and provide a basis for predicting and evaluating urban earthquake resilience. The study also discusses the use of various methods, including probability model theory, reliability algorithms, seismic risk models, soft computing technology, Bayesian models, empirical seismic fragility, and analytical seismic vulnerability, to assess and predict the features of seismic hazards, vulnerability, and economic loss of urban building portfolios. The study contributes to the understanding of seismic risk and vulnerability in urban building clusters and provides a reference for improving urban seismic resilience.