Success determinants of on-demand microtransit services: a case study of Kussbus in Luxembourg

Analyzing the success determinants of on-demand microtransit services and understanding historical user rides provide valuable insights for operators to improve further operation. This study first summarizes the barriers, failure factors, and success determinants of microtransit services and proposes a new methodology based on discrete Bayesian Networks (BNs) to model user’s sequential rides, predicting the time until his/her next ride based on completed ride experience and alternative modes. A hybrid structure learning method is proposed to firstly design an expert BN based on prior casual de... Mehr ...