Quality Indicator Set for Household Travel Surveys

High quality social-science surveys in general and surveys in travel behavior in particular are paramount for preparing decision-making processes, implementing integrative transport planning approaches, and for transportation modelling. Quantitative and qualitative indicators are necessary to determ...

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Bibliographic Details
Published in:Transportation research procedia (Online) 2018, Vol.33, p.219-226
Main Authors: Hubrich, Stefan, Wittwer, Rico, Gerike, Regine
Format: Article
Language:English
Subjects:
bias
Classical Test Theory
household travel survey
Measures
nonsampling error
Psychometric Properties of Tests
quality indicator
sampling error
survey quality
Total Survey Error
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Summary:High quality social-science surveys in general and surveys in travel behavior in particular are paramount for preparing decision-making processes, implementing integrative transport planning approaches, and for transportation modelling. Quantitative and qualitative indicators are necessary to determine the accuracy of the survey results. Based on an interdisciplinary overview of existing quality assessment approaches, this paper develops a Quality Indicator Set framework for systematically monitoring and assessing the quality of household travel surveys. 24 indicators are derived and classified along the three areas of Collection Quality, Content Quality, and Application Quality. For each indicator, the desired direction for improving quality and units for its measurement are given. No composite indicator is derived in order to keep the developed framework transparent, flexible and adaptable to each individual case study. The functionality of the developed Quality Indicator Set framework is demonstrated with the help of two exemplary applications. The provided Quality Indicator Set framework is applicable to traditional mixed-method household travel surveys but also to innovative approaches such as smartphone-based tracking of travel behavior and also to non-transport social science surveys.
ISSN:2352-1465
2352-1465
DOI:10.1016/j.trpro.2018.10.098