  This research aims at building a multivariate statistical model for assessing
users' perceptions of acceptance of ride-sharing services in Dhaka City. A
structured questionnaire is developed based on the users' reported attitudes
and perceived risks. A total of 350 normally distributed responses are
collected from ride-sharing service users and stakeholders of Dhaka City.
Respondents are interviewed to express their experience and opinions on
ride-sharing services through the stated preference questionnaire. Structural
Equation Modeling (SEM) is used to validate the research hypotheses.
Statistical parameters and several trials are used to choose the best SEM. The
responses are also analyzed using the Relative Importance Index (RII) method,
validating the chosen SEM. Inside SEM, the quality of ride-sharing services is
measured by two latent and eighteen observed variables. The latent variable
'safety & security' is more influential than 'service performance' on the
overall quality of service index. Under 'safety & security' the other two
variables, i.e., 'account information' and 'personal information' are found to
be the most significant that impact the decision to share rides with others. In
addition, 'risk of conflict' and 'possibility of accident' are identified using
the perception model as the lowest contributing variables. Factor analysis
reveals the suitability and reliability of the proposed SEM. Identifying the
influential parameters in this will help the service providers understand and
improve the quality of ride-sharing service for users.
