Analyzing consumer switching intentions toward low-altitude flying vehicles in Shenzhen: A Push, Pull, Mooring, and SEM ANN Approach

Low-altitude flying vehicles are a new form of urban transportation that can help reduce traffic congestion and improve travel efficiency. Understanding consumer switching intentions toward this new transport mode is important for supporting the growth of low-altitude mobility in Shenzhen. The purpose of this study is to examine how push, pull, and mooring effects influence consumers’ switching intentions toward low-altitude flying vehicles. This study uses a hybrid structural equation modeling (SEM) and artificial neural network (ANN) approach to analyze the proposed relationships. Survey data were collected from 1063 respondents in Shenzhen, China. The results show that push and pull effects have a positive effect on switching intention, while mooring effects have a negative effect and also weaken the influence of push and pull effects. These findings help explain consumer switching behavior and provide useful guidance for policymakers and industry stakeholders to promote the adoption of low-altitude flying vehicles.