Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques

Growth factor and gravity model techniques are useful in sequential forecasting of ravel demand on any road network. Both have commonalities in terms of independent parameters, however, growth factors relies on historic growth rate for prediction while gravity model relies on socio-economic variable...

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Main Author:	Pakshir, Amir Hossein
Format:	Thesis
Language:	English
Published:	2010
Subjects:	HE Transportation and Communications
Online Access:	http://eprints.utm.my/id/eprint/16324/5/AmirHosseinPakshirMFKA2010.pdf
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id	my-utm-ep.16324
record_format	uketd_dc
spelling	my-utm-ep.163242017-09-19T06:12:27Z Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques 2010-12 Pakshir, Amir Hossein HE Transportation and Communications TA Engineering (General). Civil engineering (General) Growth factor and gravity model techniques are useful in sequential forecasting of ravel demand on any road network. Both have commonalities in terms of independent parameters, however, growth factors relies on historic growth rate for prediction while gravity model relies on socio-economic variables or friction factor. Trip distribution is an iterative procedure. Based on the data from recent trip generation study in Skudai town, Malaysia, the number of trips generated by one zone and attracted to another zone would be computed using both the growth factor and gravity model techniques. The outcomes would then be compared and contrasted. It is hoped that the project would shed light on the advantages and disadvantages of these technique, in essence point to the appropriate method employable in a given situation. 2010-12 Thesis http://eprints.utm.my/id/eprint/16324/ http://eprints.utm.my/id/eprint/16324/5/AmirHosseinPakshirMFKA2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HE Transportation and Communications HE Transportation and Communications
spellingShingle	HE Transportation and Communications HE Transportation and Communications Pakshir, Amir Hossein Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques
description	Growth factor and gravity model techniques are useful in sequential forecasting of ravel demand on any road network. Both have commonalities in terms of independent parameters, however, growth factors relies on historic growth rate for prediction while gravity model relies on socio-economic variables or friction factor. Trip distribution is an iterative procedure. Based on the data from recent trip generation study in Skudai town, Malaysia, the number of trips generated by one zone and attracted to another zone would be computed using both the growth factor and gravity model techniques. The outcomes would then be compared and contrasted. It is hoped that the project would shed light on the advantages and disadvantages of these technique, in essence point to the appropriate method employable in a given situation.
format	Thesis
qualification_level	Master's degree
author	Pakshir, Amir Hossein
author_facet	Pakshir, Amir Hossein
author_sort	Pakshir, Amir Hossein
title	Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques
title_short	Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques
title_full	Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques
title_fullStr	Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques
title_full_unstemmed	Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques
title_sort	comparative assessment of road network trip distribution using growth factor and gravity modeling techniques
granting_institution	Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department	Faculty of Civil Engineering
publishDate	2010
url	http://eprints.utm.my/id/eprint/16324/5/AmirHosseinPakshirMFKA2010.pdf
_version_	1747815015929348096

Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques

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