A Study on the Estimaion Approach for the key Parameters in Traffic Impact Assessment

• Main Authors: Liu, Wen-Cheng, 劉文晟
• Other Authors: Huang, Tai-Sheng
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/95838483441893871155

碩士 === 國立交通大學 === 交通運輸研究所 === 97 === 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.