Prediction of human active mobility in rural areas: development and validity tests of three different approaches.
Klous, Gijs Kretzschmar, Mirjam E E Coutinho, Roel A Heederik, Dick J J Huss, Anke
Klous, Gijs
Kretzschmar, Mirjam E E
Coutinho, Roel A
Heederik, Dick J J
Huss, Anke
Citations
Altmetric:
Series / Report no.
Open Access
Type
Article
Language
en
Date of publication
2019-11-26
Year of publication
Research Projects
Organizational Units
Journal Issue
Title
Prediction of human active mobility in rural areas: development and validity tests of three different approaches.
Translated Title
Published in
J Expo Sci Environ Epidemiol 2019
Abstract
Estimated and measured hours/week spent on active mobility had low correspondence, even the best predicting estimation method based on self-reported data, resulted in a R2 of 0.09 and Cohen's kappa of 0.07. A visual check indicated that, although predicted routes to work appeared to match GPS measured tracks, only a small proportion of active mobility was captured in this way, thus resulting in a low validity of overall predicted active mobility.