ABSTRACT
In this paper, a qualitative analysis is made for influential factors with the ISM method and a three-influential-factors system is set up for the 21 influential factors in the longitudinal dimension, namely direct influential factors on the surface level, indirect influential factor on the middle level, and objective influential factor on the deep level. It also uses the AHP to quantitatively analyze the 14 direct influential factors on the surface level and to weight them horizontally and rank them according to importance, thus offering basic ideas and theoretical support to the research of the ordering-cars-online service platform. The primary factors for travelers to consider when choosing an ordering-cars-online service are individual income and trip feature. A reasonable pricing regulation made by operators and a reasonable congestion distribution discipline made by organizers are helpful for the operation of the ordering-cars-online model with high efficiency. For further research, individual travel data are expected to be used to support the established interaction effect system and the interaction system should be optimized further, thus offering decision references to government regulators and operators of the ordering-cars-online service platform.
