Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14172
Title: Refining synthetic population generation: development of a migration data model
Authors: Rayen, Thomas
Advisors: BELLEMANS, Tom
COOLS, Mario
Issue Date: 2012
Publisher: UHasselt Diepenbeek
Abstract: This study deals with the concept of synthetic data populations as input for traffic modeling purposes. The term 'synthetic' applies to a combination of data sets, often collected for other research purposes. Over the years, they have been growing in popularity in the field of transportation because they form an alternative to the extensive data collection process. A synthetic population for Belgium was developed containing socio-demographic variables of all inhabitants for the year 2001. These variables can be used to model transportation demand because socio-demographic characteristics influence travel behavior. There are 5 main components included in this model: birth and death processes, the forming of new couples, employment, drivers' license and income. From a demographic perspective, it's essential that migration is added to this equation. Three migration probabilities were calculated based on data of the Flemish Government: internal migration, immigration and emigration. A rand
Notes: master in de verkeerskunde-mobiliteitsmanagement
Document URI: http://hdl.handle.net/1942/14172
Category: T2
Type: Theses and Dissertations
Appears in Collections:Master theses

Files in This Item:
File Description SizeFormat 
07256902011324.pdf2.42 MBAdobe PDFView/Open
Show full item record

Page view(s)

16
checked on May 18, 2022

Download(s)

12
checked on May 18, 2022

Google ScholarTM

Check


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