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Comprehensive data validation of a combined weekly time use and travel survey
Transportation Research Part A: Policy and Practice ( IF 6.3 ) Pub Date : 2021-09-14 , DOI: 10.1016/j.tra.2021.08.011
Florian Aschauer 1 , Reinhard Hössinger 1 , Sergio Jara-Diaz 2, 3 , Basil Schmid 4 , Kay Axhausen 4 , Regine Gerike 5
Affiliation  

A well-known problem in Household Travel Surveys (HTS) is item-nonresponse, which occurs when complete trips are not reported or only partial information for trips is given. This article presents a comprehensive data validation effort (data completion and correction through immediate call-backs of the survey participants) on travel and non-travel information as part of a one-week Mobility-Activity-Expenditure Diary Survey. Validation recovered 2.5 percent reporting days of mobile persons with complete information on trips and increased the number of trips of pre-existing mobile reporting days by 3.5 percent. The characteristics of these trips confirm and extend the findings from item-nonresponse studies without validation: The majority of the new trips begin in the afternoon; they are mainly short and irregular; the most important trip purposes are home, work, shopping, and leisure. 37 percent of the new trips generated completely new tours; females seem to under-report less than men do. The analysis of the information on the time use (activities) between trips showed that the data was recorded with high accuracy and completeness even before validation. This study confirms typical item-nonresponse patterns and provides a solution for their mitigation through direct follow-up validation. The validation effort increased the time and cost of fieldwork by 12 percent.



中文翻译:

综合每周时间使用和旅行调查的综合数据验证

家庭旅行调查 (HTS) 中的一个众所周知的问题是项目无响应,当未报告完整的旅行或仅提供部分旅行信息时会发生这种情况。本文介绍了一项关于旅行和非旅行信息的综合数据验证工作(通过调查参与者的立即回电完成数据并进行更正),作为为期一周的出行活动 - 活动 - 支出日记调查的一部分。验证恢复了 2.5% 的具有完整旅行信息的移动人员的报告天数,并将预先存在的移动报告天数的旅行次数增加了 3.5%。这些旅行的特征证实并扩展了未经验证的项目无反应研究的结果:大多数新旅行在下午开始;它们主要是短的和不规则的;最重要的旅行目的是居家、工作、购物和休闲。37% 的新旅行产生了全新的旅行;女性似乎比男性少报。对旅行之间的时间使用(活动)信息的分析表明,即使在验证之前,数据的记录也具有很高的准确性和完整性。这项研究证实了典型的项目无响应模式,并通过直接后续验证提供了缓解它们的解决方案。验证工作使现场工作的时间和成本增加了 12 对旅行之间的时间使用(活动)信息的分析表明,即使在验证之前,数据的记录也具有很高的准确性和完整性。这项研究证实了典型的项目无响应模式,并通过直接后续验证提供了缓解它们的解决方案。验证工作使现场工作的时间和成本增加了 12 对旅行之间的时间使用(活动)信息的分析表明,即使在验证之前,数据的记录也具有很高的准确性和完整性。这项研究证实了典型的项目无响应模式,并通过直接后续验证提供了缓解它们的解决方案。验证工作使现场工作的时间和成本增加了 12 百分。

更新日期:2021-09-14
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