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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| Format: | Thesis |
| Language: | English |
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2010
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| Online Access: | http://eprints.utm.my/16324/5/AmirHosseinPakshirMFKA2010.pdf |
| _version_ | 1796855521475559424 |
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| author | Pakshir, Amir Hossein |
| author_facet | Pakshir, Amir Hossein |
| author_sort | Pakshir, Amir Hossein |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T18:29:43Z |
| format | Thesis |
| id | utm.eprints-16324 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:29:43Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | utm.eprints-163242017-09-19T06:12:27Z http://eprints.utm.my/16324/ Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques 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 NonPeerReviewed application/pdf en http://eprints.utm.my/16324/5/AmirHosseinPakshirMFKA2010.pdf 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. |
| spellingShingle | HE Transportation and Communications TA Engineering (General). Civil engineering (General) Pakshir, Amir Hossein Comparative assessment of road network trip distribution using growth factor and gravity modeling techniques |
| title | 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_short | 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 |
| topic | HE Transportation and Communications TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/16324/5/AmirHosseinPakshirMFKA2010.pdf |
| work_keys_str_mv | AT pakshiramirhossein comparativeassessmentofroadnetworktripdistributionusinggrowthfactorandgravitymodelingtechniques |