本研究探討週期性於固定地點舉辦且參與者多為使用私人運具的策劃性活動之參與者旅運選擇行為。本研究以問卷調查方式蒐集活動參與者之旅運選擇行為相關資料。針對策劃性活動的階層式的決策結構,本研究建構一個整合運具、出發時間、停車場、行駛路徑之複合選擇模式,並利用中觀運輸規劃軟體Cube建立一個參與策劃性活動之多重用路人多重運具/出發時間/停車場選擇之動態交通量模型。並且利用此模型模擬策劃性活動參與者的旅運選擇行為,探討各種不同的疏運計畫其對降低活動舉辦對該地區所帶來的交通影響。本研究以桃園市跨年晚會為例,以桃園區真實路網進行模擬,分析策劃性活動舉辦期間,各種不同的疏運計畫對整體路網及策劃性活動參與者與一般用路人的影響。
We focus on the travel choice behaviours of participants who attend planned special events (PSE) by private vehicles mainly. PSEs are periodically held at a fixed place. New Year’s Eve in Taoyuan County was used as a case study. We collect relevant information of travel behaviors of event participants by means of interview survey. Using Cube Voyager, a mesoscopic and systematic assessment tool is developed to explore participant behaviours of planned special event for mode and departure time window choices, evaluate event scenarios, and duplicate what happened during previous planned special events for a better understanding of the related issues. The simulation-based, multi-class, multi-modal traffic assignment model with departure time windows can be used to forecast the occurrence time and the level of traffic congestion produced by a planned special event. In this study, the 2015 New Year’s Eve celebration in Taoyuan City was used as a case study. Different types of traffic control plans were proposed to reduce the traffic impact of the planned special event. The impacts of a planned special event towards event participants and commuters and the mitigation measures for various traffic control plans are also established successfully in this study.