Abstract: 【Objective】To address the difficulties in analyzing the relationships among influencing factors and in quantifying their weights in shared parking research, this study, based on a systematic classification of influencing factors, proposes a comprehensive fuzzy DEMATEL–ISM–AHP analytical model grounded in triangular fuzzy theory. 【Method】The causal relationships among 18 influencing factors in the shared parking system are analyzed, their impact levels are identified, and their comprehensive weights are calculated. 【Result】The results indicate that the 18 factors can be classified into fundamental, indirect, and direct influence layers according to their influence mechanisms. Among them, laws and regulations, regulatory intensity, and policy support constitute the fundamental driving forces of the system, while factors such as usage convenience and parking demand belong to the direct influence layer. The comprehensive weight analysis further shows that government institutional design plays a critical role in the shared parking system. 【Conclusion】The findings suggest that the development of shared parking systems is largely constrained by institutional design, and the proposed integrated model can effectively reduce the uncertainty of subjective evaluations, providing scientific and quantitative decision support for the healthy and stable development of shared parking systems.