Abstract
The rapid emergence of ride-sourcing services makes it challenging for public managers and researchers to understand and quantify their impacts. This study evaluates the influence of socioeconomic and attitudinal factors, individuals' perception of modes of transport, lifestyle characteristics, and travel options in the adoption of ride-sourcing services in the city of São Paulo, Brazil. Models of multiple indicators and multiple causes were used to assess how observed variables affect the attitudinal latent variables. The observed variables Gender and Income were the only exogenous variables affecting attitudes. Subsequently, sequential hybrid models of discrete choice were used to model the adoption of ride-sourcing services. Thus, we conclude that gender, education, age, being pro-technology, and sharing economy indirectly influence ride-sourcing adoption.
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