Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times

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Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times

Dewulf, Bart / Neutens, Tijs / Vanlommel, Mario / Logghe, Steven / De Maeyer, Philippe / Witlox, Frank / De Weerdt, Yves / Van de Weghe, Nico

Abstract

Abstract 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.

Highlights • Congestion and the use of public transport lead to a decrease in accessibility. • Between large cities public transport is a good substitute in terms of travel time. • Using new data and visualizations leads to a detailed view of commuting patterns.

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Document information

Title :

Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times

Contributors:

Dewulf, Bart (author) / Neutens, Tijs (author) / Vanlommel, Mario (author) / Logghe, Steven (author) / De Maeyer, Philippe (author) / Witlox, Frank (author) / De Weerdt, Yves (author) / Van de Weghe, Nico (author)

Published in:

Journal of Transport Geography ; 48 ; 41-51

Publication date :

2015-08-16

Size :

11 pages

ISSN :

0966-6923

DOI :

https://doi.org/10.1016/j.jtrangeo.2015.08.006

Type of media :

Article (Journal)