OD调查抽样模拟试验及抽样率影响因素分析

OD调查主要目的之一是获得准确、可靠的OD矩阵,交通区划分的数目越多,则OD矩阵构成元素越多,即每次出行试验的结果越复杂,要得到可靠的OD矩阵需要的调查样本量也越大,而目前常用居民抽样率确定方法均未考虑交通小区划分数目的影响.本文编程模拟了OD调查抽样随机试验,并利用多元回归分析技术,量化分析了交通区数目、调查精度和OD矩阵元素不均匀程度对抽样样本量及抽样率的影响,证明随着交通区数目、调查精度和OD矩阵元素不均匀程度的增加,调查样本量也将大幅度增加.

The sampling simulated test of OD survey and the influencing factors analysis of sampling rate

The purpose of the OD survey is to get accurate and reliable OD matrix.If we take each trip of each resident as an experimental sample,it is easily to know that the more traffic area,the more complex the possible outcome of each experiment will be.So the more survey sample size will be needed to get reliable OD matrix.Expounded that the commonly used methods to confirm the sampling rate of the residents’ transportation survey don’t make the factors of traffic area included.Based on the random simulation test.Based on the random simulation test,quantitative analysis of the influence from the number of traffic areas,the precision of OD survey,and the irregularity of OD matrix elements was finished by using multiple regression analysis.Proved that with the increase of the number of traffic areas,the precision of OD survey,and the irregularity of OD matrix elements,Survey sample size will also greatly increase.