Passengers changing to taxis in airport hubs are facing problems such as complicated transfer lines, long transfer distance and time, stranded at taxi stands, and imperfect emergency safeguard measures. Combining with the trend of smart passenger services under the development of new generation of information technology, this paper constructs a set of taxi operation and service evaluation index system reflecting unique attributes of the airport hub collection and distribution system. The index system considers the rationality of taxi infrastructure configuration, the matching of passenger service facilities, collection and distribution efficiency, transfer efficiency, etc. It also discusses index quantification and evaluation methods. Aiming at the real-time prediction of inbound flight passenger flow, taxi sharing rate and taxi capacity, the realization process of prediction models is proposed based on the big data method. Meanwhile, combining with the combing of comprehensive transportation operation information systems of hubs, it proposes to extract data from information systems to calculate some index values. The establishment of this index system can provide a strong reference for the evaluation of other transportation modes and the overall hub, and provide decision support for the optimization and improvement of taxi dispatch and overall operation and service of airport hubs.
Practical Application of Cloud Service Evaluation Index System
