Ishita Panday
The patterns of cycling demand for the Danish population are examined in this research. We examine the temporal stability of cycling demand preferences for various age cohorts in combination with residential city sizes using pseudopanels based on large-scale cross-sectional data. Demand for cycling is broken down into two effects. First, a "selection" impact in the population that explains the likelihood of being a biker, i.e., participating in cycling activities second, if the respondent is a cyclist, there is a conditional need for cycling kilometres. A Gamma Hurdle model is used to estimate the joint probability model. Three empirical findings stand out from the study's many others. First off, the timeframe shows a fall in total cycling demand in Denmark. It is also demonstrated that this is mostly a selection impact.
KeywordsCycling; Pseudo-panel analysis; Hurdle and selection models; Dynamic transport preferences; Transport geography; Econometrics
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