Rico Wittwer

In recent years, awareness of the methodological implications of hierarchical data structures on statistics has noticeably increased in the field of travel behavior research based on Household Travel Surveys (HTSs). Addressing methodological challenges such as data harmonization, the influence of hierarchically structured data on the analysis, and the effects of survey-specific elements like clustering on accuracy is essential from both methodological and analytical perspectives.

Details Original language German Number of pages 58 Publication status Published - 2024 No renderer: customAssociatesEventsRenderPortal,dk.atira.pure.api.shared.model.researchoutput.WorkingPaper

The planning and evaluation of cycling infrastructure increasingly depend on demand-oriented data sources, including digital datasets such as GPS trajectories. While these new forms of data offer substantial analytical potential, their non-probabilistic nature raises concerns regarding data quality and representativeness, particularly when applied to modelling cycling behavior or assessing policy interventions.