MaaS对空巴联程出行的影响机理与配置优化

聚焦交通强国战略下联程运输与出行服务重大需求，针对城际空巴联程设施、票务、信息、服务等方面现存突出问题，引入出行即服务（Mobility as a Sevice, MaaS）新模式，采用“数据支撑-乘客画像-行为建模-配置优化-案例实证”的总体技术路线展开研究。基于空巴联程设施供给、客运需求、票务支付、信息服务、出行行为、MaaS意向感知等多源数据，考虑MaaS方式整合、票务一体、信息共享、设施连续、服务便捷、保障可靠等特性，综合运用智能算法、决策模型、瓶颈诊断、满意度建模、多目标优化等方法，挖掘空巴联程出行乘客画像与模式特征，构建MaaS影响下的空巴联程出行行为模型，实现MaaS下空巴联程出行属性配置优化。预期成果为深度揭示MaaS对空巴联程出行潜在作用机理，诊断联程出行瓶颈、优化联程出行资源配置、大力提升联程出行效率提供科学的理论依据和分析方法。

The newly announced China's national transportation development strategy attaches significant importance to the integration of travel services. However, the current intercity air-bus service, one of the leading airport transport mode, face great challenges in integration facility as well as joint ticketing and information system. To make the door-to-door air travel more efficient, we introduce Mobility as a Service (MaaS) to make an integrated intercity air-bus service. Based on the categorization of the passengers, we model their travel behavior and further explore the influence of the optimization of the links in the entire air-bus trip chain under the concept of MaaS according to the integration trip bottleneck judgment. Based on the multi-source data of the joint facilities supply, passenger flow demand, ticket payment, and information service of air-bus service, as well as the travel behavior of passengers, we flexibly apply intelligent algorithm, decision model, bottleneck judgement, satisfaction modeling, and multi-objective optimization to categorize the air-bus passengers based on their characteristics considering the integration of services and joint ticket payment under the MaaS conception. An air-bus intercity travel behavior model is then built, based on which measures to improve air–bus service quality with MaaS are proposed. The expected results of this project provide theoretical basis and scientific analysis for revealing the potential influence mechanism of MaaS on intercity air-bus trip by judging the bottleneck of the integrated trip chain and optimizing the trip resource allocation. The results can be applied in specific cases to help improve the trip efficiency of the passengers.