To analyze the main influencing factors and pathways of low altitude travel intention, a structural equation model was constructed based on travel intention model and value risk analysis. The interaction mechanism between travel preference, travel characteristics, perceived value, and perceived risk on low altitude aircraft travel intention was quantified. The path coefficients were solved using unweighted least squares method, and the mediating effects of perceived value, perceived risk, and other factors on travel preference were analyzed. Additionally, a multi group model invariance analysis of individual information such as gender and age on travelers was conducted. Finally, the fuzzy set qualitative comparative analysis (fsQCA) method was used to analyze the configuration of the antecedent variables of travel intention. The results showed that the chi square degree of freedom ratio, RMSEA (root mean square error of approximation) value, and CFI(comparative fit index) value of the structural model were 3.803, 0.063, and 0.938, respectively, which passed the model validation. Perceived value (0.38) is the most important factor affecting travel intention. Travel characteristics (0.08) have a positive direct impact on travel intention, while perceived risk (-0.22) has a negative direct impact. However, travel preferences have no significant impact on travel intention; Travel preferences have a negative effect on travel willingness, but travel characteristics and perceived value have a masking effect on travel preferences, while perceived risk has a mediating effect on them; The pre tax annual income in the individual information of travelers has a moderating effect on the model. As the travel distance increases, the high-income group is more willing to use low altitude aircraft than the low-income group. At the same time, the high-income group is more sensitive to the perceived risks of low altitude aircraft in terms of technological maturity and accident severity. fsQCA analysis shows that there are three configurations that can form travel intention, among which configuration 3 (type of travel characteristics&perceived value) has the highest sample coverage, explaining 48.9% of the sample cases. When travelers are necessary to travel during peak hours and have a positive understanding of low altitude travel comfort, privacy, etc., they will develop a low altitude travel tendency. The research findings can provide data support for the promotion and policy formulation of low altitude aircraft.