[Objective] Under the urgent needs of global warming and energy structure transformation, the development of low-altitude economy has become an important path to promote the green and low-carbon transformation in the transportation sector. As a new solution for low-altitude traffic, the large-scale application of electric vertical take-off and landing vehicle (eVTOL) needs to systematically analyze the “demand-technology” coordination mechanism of its scene application. However, how to deconstruct the adaptation logic of scenario demand and technology supply, and accurately identify the interaction mechanism between market preference and technology bottleneck is the focus of attention. By quantifying the characteristics of market demand and the trend of technology supply, it can provide theoretical support for policy formulation and industrial layout. [Methods] This study conducted a meta-analysis of published eVTOL-related literature to examine the influence mechanisms of variables such as passenger age, gender, and attitude on eVTOL attractiveness and scenario-specific moderating effects. Latent Dirichlet allocation (LDA) topic modeling was applied to extract effective patent texts related to eVTOL from the incoPat database, identifying the evolutionary trends of technological topics. [Results] (1) On the demand side, in terms of the impact mechanism, passengers’ attitudes and family monthly income significantly positively drive eVTOL.
Attractiveness, travel cost and time negatively inhibit eVTOL attractiveness ; as far as the moderating effect is concerned, the influence of passenger attitude in urban scenes is the most sensitive. In the airport scene, the most obvious is the positive impact of passenger age and family monthly income. In the scenic spot scene, the influence of passengers’ attitude and travel cost is the most significant. (2) On the supply side, the evolution of patent topics demonstrated a three-stage pattern: the technology incubation stage focused on comprehensive technological deployment in urban scenarios, the technology deepening stage shifted toward systematic breakthroughs in endurance bottlenecks, and the intelligent transformation stage prioritized in-depth expansion of intelligent capabilities. [Conclusion] (1) eVTOL attractiveness is significantly and positively driven by attitude and income, yet negatively constrained by travel cost and time. The influence mechanisms exhibit scenario heterogeneity—airport scenarios highlight time-value premium effects, while tourism scenarios are primarily driven by experience value. (2) Technological evolution follows a progressive pattern of “basic architecture construction→endurance bottleneck breakthrough→intelligent system advancement,” demonstrating coordinated co-evolution with scenario demands.