Below is a collection of working papers, theses and journal articles produced by the WIN project. Almost all of these outputs are available open access.
Maximum interpolable gap length in missing smartphone-based GPS mobility data. Transportation, advance access.(2022).
Nonresponse analysis in a longitudinal smartphone-based travel study . Survey Research Methods, pp. 13-27.(2022).
Testing the Effects of Automated Navigation in a General Population Web Survey. Methods, Data, Analysis, pp. 107-128.(2022).
Sharing Data Collected with Smartphone Sensors: Willingness, Participation, and Nonparticipation Bias. Public Opinion Quarterly, advance access.(2021).
An app-assisted travel survey in official statistics. Possibilities and challenges. Journal of Official Statistics, vol. 37, 149-170.(2021).
Understanding Willingness to Share Smartphone-Sensor Data. Public Opinion Quarterly, Volume 84, Issue 3, 725-759.(2021).
Do shorter stated survey length and inclusion of a QR code in an invitation letter lead to better response rates?. Survey Methods: insights from the field.(2021).
Toepoel, V., Luiten, A., & Zandvliet, R. (2021). Response, willingness, and data donation in a study on accelerometer possession in the general population. Survey Practice, 14(1).
Active and passive measurement in mobile surveys. The Survey Statistician, 82, 14-26.(2020).
Smeets, L.S.M., Lugtig, P. & Schouten, J.G. “Automatic travel mode prediction in a national travel survey”. Master thesis. https://github.com/LaurentSmeets/Master-Thesis
Killaars, L, Mussman, O & Schouten, J.G. “Stop and go detection in GPS position data”. CBS discussion paper 2019. https://www.cbs.nl/-/media/_pdf/2020/01/stop-and-go-detection-in-gps-position-data.pdf
Lugtig, P., Toepoel, V., Haan, M., and Schouten, B. (2017). Het Waarneem Innovatie Netwerk. Stator, 3, 16-19.