- 學位論文
單車起訖矩陣推估與旅次特性分析:以臺大校園為例
Bicycle Origin-Destination Matrix Estimation and Travel Characteristics Analysis: The Case of NTU Campus
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摘要
近年來，國立臺灣大學校園內私有單車的數量持續增加，引發了許多問題，例如處處可見的停車亂象、學生離校後棄置的單車，以及尖峰時段的車流堵塞。學校采取了一些措施，例如引進YouBike 2.0為教職員和學生提供另一種選擇，只是過多的私有單車數依舊是造成問題的根本原因，不只造成教職員生困擾，也增加拖吊處理的金錢成本與衍生的碳排放。若要能使臺大校園的交通環境永續發展，則減少私有單車數必定是不可避免。但在探討臺大校園中合理的單車數量是多少前，現今校園內以私有單車為代步工具有多少占比？又有多少人會選擇共享單車？此外，他們的起訖矩陣，旅次特性又是如何？這些都是需要先釐清的重要先備知識。 本研究透過建立校園路網模型，以及交通量指派後的比例矩陣結合起訖矩陣，再以實際觀測流量反推實際的起訖矩陣流量分布，藉以根據旅次特性分析校園內的行人、私有單車以及共享單車的占比，以及隨著旅次長度變化，各運具的占比變化，進而推估共享單車可能的替代率。
並列摘要
In recent years, the increasing number of private bikes on the campus of National Taiwan University (NTU) has raised various issues, such as chaotic parking situations, abandoned bikes by students after leaving the campus, and traffic congestion during peak hours. The university has taken some measures, such as introducing YouBike 2.0 as an alternative for faculty and students. However, the excessive number of private bikes remains the fundamental cause of these problems, causing inconvenience to faculty and students, increasing the financial cost of towing, and resulting in carbon emissions. To achieve sustainable development in the transportation environment on the NTU campus, reducing the number of private bikes is inevitable. However, before discussing the reasonable number of bikes on the NTU campus, it is crucial to understand the current proportion of private bikes used as means of transportation, as well as the usage of bike-sharing systems. Additionally, their origin-destination matrix and trip characteristics need to be clarified, as these are important preliminary knowledge. This research establishes a campus road network model and combines the proportion matrix resulting from traffic assignment with the origin-destination matrix to infer the actual flow distribution based on observed traffic flows. By analyzing trip characteristics, the proportion of pedestrians, private bikes, and bike sharing system on the campus can be determined. Moreover, the variations in the proportion of each mode of transportation with changes in trip lengths can be evaluated, leading to an estimation of the potential substitution rate for bike sharing system.
參考文獻
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