Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/2396
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dc.contributor.authorKrakutovski, Zoranen_US
dc.contributor.authorZafirovski, Zlatkoen_US
dc.contributor.authorNedevska, Ivonaen_US
dc.date.accessioned2019-07-02T13:18:52Z-
dc.date.available2019-07-02T13:18:52Z-
dc.date.issued2016-05-
dc.identifier.isbnISBN 978 9989 786 79 2-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/2396-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherFaculty of Technical Sciences Bitolaen_US
dc.subjecturban mobility; forecast; longitudinal data; modelen_US
dc.titleLONGITUDINAL DATA FOR MODELING URBAN MOBILITY ON LONG TERMen_US
dc.typeProceeding articleen_US
dc.relation.conferenceFirst International Conference "Transport in Today's Society" Bitola 2016en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Civil Engineering-
crisitem.author.deptFaculty of Civil Engineering-
Appears in Collections:Faculty of Civil Engineering: Conference papers
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