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

Pakshir, Amir Hossein (2010) Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques. Masters thesis, Universiti Teknologi Malaysia, Faculty of Civil Engineering.

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Abstract

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.

Item Type:Thesis (Masters)
Additional Information:Supervisor : Assoc. Prof. Dr. Johnnie Ben-Edigbe; Thesis (Sarjana Kejuruteraan (Awam - Pengangkutan dan Jalanraya)) - Universiti Teknologi Malaysia 2010
Uncontrolled Keywords:transportation--planning, traffic estimation, trip generation
Subjects:H Social Sciences > HE Transportation and Communications
T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:16324
Deposited By: Ms Zalinda Shuratman
Deposited On:28 Aug 2012 02:43
Last Modified:19 Feb 2014 03:14

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