Factors driving the adoption of mobility-management travel app: a bayesian structural equation modelling analysis

1 The increasing complexity and mobility demand of transport services strains the transportation system 2 especially in urban areas with limited possibilities to build new infrastructure. The solution to this 3 challenge requires changes in travel behavior. One of the proposed means to induce such change is 4 mobility-management travel apps. However, understanding the motivators underlying individuals’ 5 travel intentions is essential to design and evaluate their effectiveness. This paper aims to pinpoint and 6 understand the drivers that influence individual travel decisions when using such apps. The analytical 7 framework relies on goal frame theory in which individual’s motives to use the app are grouped into 8 three overarching goals namely, 1) gain, 2) hedonic and 3) normative goals. Furthermore, technophilia, 9 social trust and place attachment are incorporated in the framework as to better explain user-sided 10 heterogeneity. The case-study focuses on a hypothetical travel information system in Lisbon (Portugal) 11 through a technology-use preference survey to 227 travelers. Bayesian Structural equation models 12 revealed that the choice drivers are specific to individual users and depends on wide ranging factors 13 that go above traditional economic and socio-demographic methods. The study revealed that firstly, trip 14 efficiency improvement, enjoyment, social interaction and eco-friendly travel promotion are among 15 those motives explaining the adoption intention. Secondly, there are different intentions among 16 individuals depending on the users’ motives. Third, technophilia exerts a positive influence on adoption 17 intention. Fourth, the social dynamic behind the system, influence positively the use of the travel app. 18 19 20 21 22 23

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