基于工作地分类的居民出行调查方法

Resident Trip Survey Based on Working Area Stratification

对居民出行调查的主要结论形式——平均出行次数、出行方式结构和出行时间与工作地特征之间的关系进行了详细的分析,发现相互之间有明显对应关系,若能按照工作地特征分层(或分类)开展出行调查,则样本极具代表性.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.以温州市平阳县万全镇为例,讨论抽样率公式中的参数取值,得到了对应于7类工作地的出行调查抽样率大小,说明了本文方法的可操作性.并分析了本文所提出的调查方法相对于简单随机抽样法的优势.

The paper analyzes the relationships between the key indexes of the resident trip survey（RTS） and working area characteristics in terms of average trip times,trip mode structure and travel time.The corresponding correlations among them are identified,and the high sample representativeness is proven when the RTS is conducted with the stratification of working area characteristics.Based on the stratified sampling,a RTS approach is proposed and its sampling method is documented in detail.The formulas are developed to determine the total and stratified sampling rates.Taking the small town named Wanquan as an example,the formula parameter evaluation is discussed.The sampling rates of the RTS corresponding seven types of work area are obtained.The feasibility of the proposed method is illustrated,and the advantages over the traditional random sampling are presented.