A study of an app-coordinated, demand-responsive transit service in Wuxi, China, examined how early users’ views of the service related to their intention to use it. The researchers considered features including personalization, convenience, service quality, price fairness and privacy protection.

Among 147 active early adopters, trust in the platform was the only statistically significant close predictor of behavioral intention in the full model. Personalization was linked to convenience, which was linked to service quality; service quality and perceived privacy protection were both linked to trust.