居民出行调查数据扩样及校核方法应用研究

Study on Resident Trip Survey Sample Expansion and Verification

居民出行调查是构建宏观交通模型和科学制定交通发展战略、方案的重要数据来源,调查过程中随机抽样的困难和沉默需求的增加使得对扩样方法要求越来越高.提出了扩样方法总体思路,分别从户扩样、户拥车调整、人扩样、人口调整和出行扩样等几个方面进行组合扩样.在户拥车和人口调整中分别采用了循环扩样方法,使不同指标误差均在合理范围内.在出行扩样中考虑了分目的沉默需求比例,并结合公交IC卡大数据,对公交出行量和OD分布进行校核.最后将方法应用于佛山顺德区的居民出行调查结果扩样,扩样结果验证了扩样方法的有效性.研究成果可为居民出行调查数据扩样及校核提供思路和方法,对利用居民出行调查数据研究城市总体出行特征具有重要意义.

Resident trip surveys(RTS)are an important data source for establishing macroscopic traffic models and scientifically formulating transport development strategies and plans.The difficulty of random sampling and the increase of silent demand in the survey have made the requirements of sampling expansion methods increasingly higher.The general idea of the sample expansion method is put forward,and the combined expansion is carried out from several aspects such as household expansion,household vehicle adjustment,population expansion,population adjustment and trip expansion.In the household car ownership and population adjustment,the method of cyclic expansion was adopted to control the deviation of different indicators within a reasonable range.In the trip expansion,the proportion of silent demand with different purposes was considered,and the big data of transit IC card was used to verify the bus passenger volume and OD distribution.Finally,this method was applied to the expansion of resident trip survey in Shunde District,Foshan,and the results verified the effectiveness of the sample expansion method.The research results can provide ideas and methods for the expansion and verification of resident trip survey data,and are of great significance to the use of residents’travel survey data to study the overall travel characteristics of the city.