交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (6): 222-227.

• 案例分析 • 上一篇    下一篇

误差分析下的居民出行抽样调查结论可靠性研究

石飞,王宇*   

  1. 南京大学建筑与城市规划学院,南京210093
  • 收稿日期:2016-05-13 修回日期:2016-07-07 出版日期:2016-12-25 发布日期:2016-12-26
  • 作者简介:石飞(1978-),男,江苏扬州人,副教授,博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(51308281);国家留学基金/ China Scholarship Council(201606195038).

Reliability Study of Resident Trip Survey Conclusions Based on Error Analysis

SHI Fei,WANG Yu   

  1. School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
  • Received:2016-05-13 Revised:2016-07-07 Online:2016-12-25 Published:2016-12-26

摘要:

居民出行调查是城市交通规划中最为重要的调查门类之一,当前主要通过问卷、入户和抽样的方式完成,而抽样率直接影响调查结论的精度或误差大小.首先介绍了与误差分析相关的概念和方法,如绝对误差、有效数字和误差传递等,并建立了可靠性评判标准.然后基于南京市江南八区2011 年和2012 年的居民出行调查信息及主要结论,分析人均出行次数和居民出行方式结构数据的可靠性.结论显示:就目前采纳的样本量和抽样率调查居民出行特征所得到的关键结论并不可靠,难以反映各自的近似准确值,也难以比较不同年份的数据大小关系;指出满足精度要求的调查抽样率应高达9%.最后指出相关导则中的抽样率推荐值缺乏科学性.

关键词: 城市交通, 抽样率, 误差, 居民出行调查, 可靠性

Abstract:

Resident trip survey is one of the most important survey categories of urban transportation planning, which is mainly conducted via questionnaires, household and sampling surveys at present, whose sampling rate can directly affect the precision or the size of error when arriving at the conclusions of the surveys. This paper firstly introduced the concepts and methods relating to error analysis, such as absolute error, significant digits and error propagation etc., and established the reliability evaluation criteria. Based on the information and main conclusions of the resident trip survey in downtown area of Nanjing in 2011 and 2012, it analyzes the reliability of the data of average numbers and mode structures of resident trip. The results shows that: the key conclusions are not reliable under the current adopted sampling size and sampling rate to investigate resident trip characteristics, and it is difficult to reflect their respective approximate value, as well as to compare the magnitude of the data between different years; the survey sampling rate to meet the precision requirement should be as high as 9%. Finally it is pointed out that the recommended values of sampling rate in some guidelines are lack of scientific support.

Key words: urban traffic, sampling rate, error, resident trip survey, reliability

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