交通衝擊關鍵參數推估方式之研究

Abstract

大型基地開發需要進行交通衝擊評估，掌握基地周邊交通狀況，確保基地在開發後完成對周邊交通不致造成交通擁擠的影響。而在交通衝擊評估中，對於相關旅次進出的估算，最常見的就是透過旅次發生率法，引用相關旅次進出參數，估算出進出基地之人旅次及車旅次，本研究即針對估算相關旅次進出之參數，整理出較具關鍵之參數，包含尖峰小時旅次產生率、運具使用比例及車輛平均乘載率，此三項參數即為本研究選定之交通衝擊關鍵參數。 本研究蒐集彙整台北市民國90至96年通過都市設計審議之住宅用地交通衝擊評估報告書作為樣本資料，並考慮時間、空間及建物使用別三項影響關係對關鍵參數的影響，分別分析其關鍵參數之特性及數字背後代表意義，進一步作相關趨勢分析，在有限的樣本資料狀況下，建立一套交通衝擊關鍵參數之推估方式，以作為交通衝擊評估之用。 本研究研擬之推估方式，若關鍵參數的樣本資料充足完整，則引用參數時只須進行小幅調整，即時間影響關係的調整；若關鍵參數樣本資料不足或是無任何樣本資料，則依序以下列各種推估方式進行估算：(1)在同一行政區內有相同土地使用、其他建物使用類別之樣本資料；(2)取相鄰或同群行政區相同土地使用及建物使用類別之樣本資料；(3)取相鄰或同群行政區相同土地使用不同建物使用類別之樣本資料；(4)取不同群組行政區相同土地使用及建物使用類別之樣本資料；(5)取不同群組行政區相同土地使用不同建物使用類別之樣本資料，而後依樣本資料之時間、空間及建物使用類別等影響關係進行調整，以獲得推估參數。

Large-scale site development ensures the traffic condition around the site without deterioration after development by traffic impact assessment. In traffic impact assessment, the most familiar method is trip generation, estimating people and vehicle trips. This research selects three parameters including peak-hour trip generation, modal split ratio and passenger as the key parameters in traffic impact assessment. In this study, the data be collected from traffic impact assessment report of the residential area during 2001 to 2007 in Taipei, and consider time, space and building usage of three influence relations upon the key parameter. Analyzing characteristic and numerical back representative's meaning of its key parameter respectively, make related trend analysis further to, under limited condition of the sample data, build up the estimation approach for the key parameters in traffic impact assessment. The estimation approach in this study, if the sample data of the key parameter is ample and complete, only must make a small adjustment, as time influence relation. If the shortage of the key parameters sample data or have no sample data, using the following estimation approach：(1)There is same land usage in the same administrative area, other building usage the sample data of the category; (2)Taking is close together or together flock land usage with same administrative area and building use a category of sample data; (3)Taking is close together or together the flock land with same administrative area use the sample data of different category of the building usage; (4)Take the sample data of the different flock of set administrative area same land usage and building usage category; (5)Take the sample data that the different flock of set administrative area same land uses a different category of the building usage, and then influence a relation to carry on adjustment according to the time, space and building usage category of sample data to acquire estimate parameters.