Integrating mobility service satisfaction into the object case of best-worst scaling method to weight attributes of MaaS bundles: findings based on samples from three cities of China

To design an effective MaaS bundles, the weights of attributes of MaaS bundles should be first identified. The object case of best-worst scaling (i.e. BWS case 1) method is adopted, and a factor representing the degree of mobility service satisfaction is introduced to modify the weights of attributes of MaaS bundles. Based on such a modification, latent classes exploded logit models are established and estimated using samples from three cities of China. The estimation results confirm the advantage of considering people’s satisfaction toward mobility services in the model and show that heterogeneous weights of the attributes of MaaS bundles are found not only in the samples from different cities but also in the sample from a same city. These findings confirm the validity of the modified model of BWS case 1 and suggest the MaaS providers to offer tailored mobility services for specific socio-demographic groups.