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Urban Rhythms and Travel Behaviour: Spatial and Temporal Phenomena of Daily Travel
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  • 2015The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection135 cited
  • 2019The impacts of residential relocation on commute habits: A qualitative perspective on households’ mobility behaviors and strategies71 cited
  • 2017Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation68 cited
  • 2017Who are bike sharing schemes members and do they travel differently? The case of Lyon’s “Velo’v” scheme65 cited
  • 2011Place Rank: Valuing Spatial Interactions62 cited
  • 2020Tracing the Sars-CoV-2 Impact: The First Month in Switzerland61 cited
  • 2012Things in motion, things in practices: How mobile practice networks facilitate the travel and use of leisure objects59 cited
  • 2018Trends in integrated land use/transport modeling: An evaluation of the state of the art56 cited
  • 2018Automatic Trip Detection with the Dutch Mobile Mobility Panel: Towards Reliable Multiple-Week Trip Registration for Large Samples51 cited
  • 2016Understanding the role of contrasting urban contexts in healthy aging: an international cohort study using wearable sensor devices (the CURHA study protocol)48 cited
  • 2014Tracking daily travel; Assessing discrepancies between GPS-derived and self-reported travel patterns46 cited
  • 2016Effects of neighborhood types & socio-demographics on activity space44 cited

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2018
Understanding the interplay between social and spatial behaviour
44 cited
  • 2014An examination of recent trends in multimodal travel behavior among American motorists43 cited
  • 2011A multilevel investigation of differential individual mobility of working couples with children: a case study of Hong Kong38 cited
  • 2021The impact of COVID-19 on daily lives of transnational people based on smartphone data: Estonians in Finland31 cited