Title
Examining commuting patterns using Floating Car Data and circular statistics : exploring the use of new methods and visualizations to study travel times Examining commuting patterns using Floating Car Data and circular statistics : exploring the use of new methods and visualizations to study travel times
Author
Faculty/Department
Faculty of Applied Economics
Faculty of Law
Publication type
article
Publication
London ,
Subject
Economics
Source (journal)
Journal of transport geography. - London
Volume/pages
48(2015) , p. 41-51
ISSN
0966-6923
ISI
000363821800005
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
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.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000363821800005&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000363821800005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000363821800005&DestLinkType=CitingArticles&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848