  A generalized additive mixed model was estimated to investigate the factors
that impact ridehailing driver trip request acceptance choices, relying on 200
responses from a stated preference survey in Seattle, US. Several policy
recommendations were proposed to promote trip request acceptance based on
ridehailing drivers willingness to accept compensation for undesired trip
features. The findings could be useful for transportation agencies to improve
ridehailing service efficiency, better fulfill urban mobility needs, and reduce
environmental burden.
