台灣高速鐵路(Taiwan High Speed Rail, THSR)為平衡區域發展之考量，其部分站點位於較偏遠的地區，增加了旅次總時間，因此其接駁系統的整合扮演關鍵要角。為此，高鐵公司持續以補助計畫支持接駁公車的免費營運，然補助為一龐大支出。考量到前述轉乘時間與營運成本問題，本研究欲以多目標規劃達成高鐵在時間上的無縫轉乘，透過建立一數學模式同時考慮政府、旅客及業者等三個公共運輸系統中的利害關係人，重新產製高鐵接駁公車的時刻表。本研究將此問題建構為一搶占式目標規劃問題(Preemptive Goal Program)，以順序式線性目標規劃方法(Sequential Linear Goal Programming, SLGP)求解。本研究共設計四個情境：基本模式、固定時點模式、定期車優先模式以及直達車優先模式，並根據目標優先性的不同，設計旅客導向實驗與業者導向實驗，以臺南市高鐵接駁公車H31路為基準，比較不同模式、不同實驗中的旅客轉乘等候時間與成本效益。根據結果，四個模式的等候時間及成本效益皆優於原始接駁公車班表；若將兩種實驗相比，業者導向實驗的成本效益高出許多，發車班次數也較貼近現況、更利於營運者實施，因此本研究建議，在產製接駁系統班表時，在已限制旅客最長等候時間的條件下，可提升業者最小化成本的目標優先性，滿足業者需求，同時讓學術研究的成果與現實條件接軌。

Several stations of Taiwan High Speed Rail, abbreviated as THSR, are located in suburban areas to achieve a balance between urban and rural regions, increasing the total time of trips. Therefore, its transfer system plays a decisive role. THSR company keeps supporting the operation of free feeder bus through subsiding but it’s a huge expenditure. Considering transfer time and operation costs, this study wants to achieve time seamless transfer of high speed rail using multi-objective programming and rearranges the timetable of the feeder bus by constructing four mathematical models. The models consider the expectations of three stakeholders involved in public transportation. The study formulates the problem as a preemptive goal program and solves it by sequential linear goal programming method. The four models are basic model, fix time spot model, daily train priority model and express train priority model. The study also constructs two kinds of experiment named passenger-oriented experiment and operator-oriented experiment that distinguished by the different priority sequences. The condition of H31 route, the feeder bus of HSR in Tainan City, is used to set the factors in those models. This paper compares the transfer waiting time of passengers and cost efficiency in different models and experiments. According to the results, the two performance indexes of four models are better than original bus timetable. The cost efficiency of operator-oriented experiment is higher than another one with a departure number closer to current situation. Therefore, when arranging the timetable of transfer systems, the study suggests that the priority of minimizing operators’ costs can be lifted under the condition that the maximum waiting time is limited. This can satisfy operators’ requirement and make results of academic studies meet reality.

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