Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/2396
Title: LONGITUDINAL DATA FOR MODELING URBAN MOBILITY ON LONG TERM
Authors: Krakutovski, Zoran 
Zafirovski, Zlatko 
Nedevska, Ivona
Keywords: urban mobility; forecast; longitudinal data; model
Issue Date: May-2016
Publisher: Faculty of Technical Sciences Bitola
Conference: First International Conference "Transport in Today's Society" Bitola 2016
Abstract: The usage of longitudinal data for modelling urban mobility is crucial when the analysis and forecast model would consider temporal modifications of behaviour of population in studied urban area. This paper treats the modelling and forecast of urban mobility on long term based on pseudo-longitudinal data. The analysis and investigated data are related to the urban area Lille in France. The examined data are carried out in 1976, 1987 and 1998, according to the standard methodology for mobility survey of households in France. The longitudinal data are made from repetitive surveys which makes possible to get insight in the behaviour dynamics. The decomposition of temporal effects into an effect of age and an effect of generation (cohort) makes possible to draw the sample profile during the life cycle and to estimate its temporal deformations. This is the origin of the age-cohort model for forecasting of urban mobility on long term.
URI: http://hdl.handle.net/20.500.12188/2396
ISBN: ISBN 978 9989 786 79 2
Appears in Collections:Faculty of Civil Engineering: Conference papers

Files in This Item:
File Description SizeFormat 
BITOLA 2016 Zvanje VP Final.pdf5.37 MBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s)

7
checked on Feb 19, 2020

Download(s)

14
checked on Feb 19, 2020

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.