基于居住地分层的居民出行调查方法

Resident trip survey based on residential area stratification

首先对居民出行调查的主要结论形式——平均出行次数、出行方式结构与居住地特征之间的关系进行了详细的分析,发现相互之间有某种对应关系,若能按照居住地特征分层(或分类)开展出行调查,则样本极具代表性。然后,基于分层抽样,提出了一类新的居民出行调查方法,并对其中的抽样方法作了细致的研究,提出了总体及分层抽样率的确定公式。最后,以江苏昆山市老城区为例,讨论公式中的参数取值,得到了对应于3类居住地的出行调查抽样率大小,说明了本文方法的可操作性和相对于简单随机抽样方法的优势。

The relationships between the average trip times as well as the trip mode structure, as the main results of the resident trip survey（RTS）, with the residential area characteristics were analyzed in detail. It turn out that there are some corresponding correlations between them, and the samples would be highly representative if the RTS was performed according to the stratification of residential area characteristics. A new RTS approach was proposed and its sampling method was studied in detail. The formulas to determine the total and stratified sampling rates were given. Taking the old urban zone of Kunshan city, Jiangsu province, China, as an example, the evaluation of the parameters in the given formulas was discussed. The sampling rates of the RTS corresponding 3 types of resident area were obtained, demonstrating the superiority in operability of the stratified sampling over thetraditional random sampling.