本研究提出一個模型，將公車系統一般化成本以及旅客轉乘的滿意度納入考量。一直以來，政府持續推廣公共運輸的使用，但民眾的使用意願一直都不高。主要原因在於在旅客使用公共運輸時必須面對第一哩路以及最後一哩路的問題。不僅如此，旅客往往需要在不同運具間轉乘，轉乘過程造成的不便，往往使旅客轉而使用私人運具。
為了提升公共運輸的便利性，便有透過資訊科技整合公共運輸服務的概念被提出，被稱為MaaS（Mobility as a Service），MaaS的主要概念在於將過去各自分散運作的公共運輸甚至是私有運具加以整合。其中公車在公共運輸系統中扮演相當重要的角色，目前缺少模型來衡量公車業者加入MaaS後，與旅客的關係會如何變化，此部分可能造成相關單位未來在推廣MaaS或是新的運具時，可能會遭遇到同樣的障礙。
本研究整合過去研究討論過的公車營運成本，納入MaaS使用率以及可能影響公車一般化成本的參數，並使用快速非支配排序之基因演算法（NSGA-II）進行求解，提供公車業者以及相關單位透過調整相關營運模式以及相關參數在公車系統一般化成本以及旅客於運具間轉乘的滿意度進行量。
在模擬分析的章節中，本研究透過提供數個情境的模擬，並納入公車業者在加入MaaS平台後對成本的影響，並評估大眾運輸系統的各種營運指標來對於旅客轉乘滿意度的影響，希望更加貼近現實情況，並提供相關單位未來在進行公車營運模式或在新的地區推行MaaS時的策略依據。

The government has been promoting the use of public transport for a long time, but the public's willingness to use has not been high. The main reason is that the passengers often need to transfer between different modes, the inconvenience caused by the transfer often makes passengers turn to use private modes.
To enhance the convenience of public transport, the concept of integrating public transport services through information technology has been proposed, called Mobility as a Service (MaaS). Bus system plays an indispensable role in public transport. There is a lack of a new model to measure the relationship between bus operators and travelers after the MaaS platform enters the market. Such a missing part may cause the authorities to face dilemmas in promoting MaaS in the future. As a result, this study proposes a model considering the usage rate and related attributes of MaaS and solves it through NSGA-II, enabling bus operators and authorities to measure bus generalized cost and travelers’ transfer satisfaction by adjusting operating modes and related parameters.
This research provides simulations about bus operators on the generalized cost after joining the MaaS and assesses the impact of indicators of the public transport system on travelers’ transfer satisfaction. It is hoped to provide the strategic basis for the relevant authorities to implement MaaS in new areas. The conclusion of this research has practical implications for platform operators, bus operators, and administrative authorities.

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