Data availability

The supplementary materials include three complementary files that support the reproducibility and transparency of the proposed methodological framework. The file "AHPG_PCAF_Inferential.py" contains the complete Python script that executes the study's statistical and inferential workflow, construction of the AHP-G and PCA-F vulnerability indices, multivariate analyses, Spearman's correlation, Wilcoxon test, Bland–Altman analysis, Beta regression, and Bayesian modeling. The file AHPG_PCAF_Inferential.xlsx provides the complete statistical outputs generated during the analyses, including the correlation matrix, KMO statistic, Bartlett’s test, eigenvalues, communalities, vulnerability indices, and inferential model parameters. Finally, df.xlsx is the consolidated database used in the study, containing the demographic, socioeconomic, urban infrastructure, and flood-susceptibility variables used to construct the socio-environmental vulnerability indices.本研究的补充材料包含三份配套文件，用以支撑所提出的方法学框架的可复现性与透明度。文件"AHPG_PCAF_Inferential.py"包含完整的Python脚本，可执行本研究的统计与推断流程，涵盖AHP-G与PCA-F脆弱性指数构建、多变量分析、斯皮尔曼相关性分析、威尔科克森检验、布兰德-奥特曼分析、贝塔回归以及贝叶斯建模。文件"AHPG_PCAF_Inferential.xlsx"收录了分析过程中生成的全部统计结果，包括相关矩阵、KMO统计量、巴特利特球形检验、特征值、公因子方差、脆弱性指数以及推断模型参数。最后，df.xlsx为本研究使用的整合型数据库，包含用于构建社会环境脆弱性指数的人口统计学、社会经济、城市基础设施以及洪水易感性变量。