Examining commuting patterns using Floating Car Data and circular statistics : exploring the use of new methods and visualizations to study travel timesExamining commuting patterns using Floating Car Data and circular statistics : exploring the use of new methods and visualizations to study travel times
Faculty of Applied Economics
Faculty of Law
Government and Law
Faculteit Toegepaste Economische Wetenschappen
Journal of transport geography. - London
48(2015), p. 41-51
In this paper, we focus on the spatial distribution of travel time differences between car and public transport during peak and off-peak hours using geospatial methods and circular statistics. To that end, we combine two origin-destination matrices: one contains the number of simulated commuting trips and the other contains accurate travel times measured using either Floating Car Data or transit data. The combination of both matrices reveals that differences in travel time during peak and off-peak hours are high for intra-city commuting and low for inter-city commuting.