A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant

A trip generation manual and database are important for transportation planners and engineers to forecast new trip generation for any new development. Nowadays, many petrol stations have fast-food restaurant outlets. However, this land use category has yet to be included in the Malaysian Trip Genera...

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Autores principales: Shafida Azwina Mohd Shafie, Lee Vien Leong, Ahmad Farhan Mohd Sadullah
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/7fff0ffd604447cda30d48561f772637
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spelling oai:doaj.org-article:7fff0ffd604447cda30d48561f7726372021-11-25T19:04:33ZA Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant10.3390/su1322128152071-1050https://doaj.org/article/7fff0ffd604447cda30d48561f7726372021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12815https://doaj.org/toc/2071-1050A trip generation manual and database are important for transportation planners and engineers to forecast new trip generation for any new development. Nowadays, many petrol stations have fast-food restaurant outlets. However, this land use category has yet to be included in the Malaysian Trip Generation Manual. Therefore, this study attempted to develop a new trip generation model for the new category of “petrol station with convenience store and fast-food restaurant”. Significant factors influencing the trip generation were also determined. Manual vehicle counts at the selected sites were conducted for 3 h during morning, afternoon and evening peak hours. Regression analysis was used in this study to develop the model. A simple trip generation model based on the independent variable number of restaurant seats showed a greater value for the coefficient of determination, R<sup>2</sup>, compared with the independent variables gross floor area in thousand square feet and number of pumps. The multivariable trip generation model using three independent variables generated the highest R<sup>2</sup> among all of the models but was still below a satisfactory level. Further study is needed to improve the model for this new land use category. We must ensure more accuracy in trip generation estimation for future planning and development.Shafida Azwina Mohd ShafieLee Vien LeongAhmad Farhan Mohd SadullahMDPI AGarticletrip generationland usepetrol stationfast-food restaurantmultiple linear regressionsustainable transportationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12815, p 12815 (2021)
institution DOAJ
collection DOAJ
language EN
topic trip generation
land use
petrol station
fast-food restaurant
multiple linear regression
sustainable transportation
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
spellingShingle trip generation
land use
petrol station
fast-food restaurant
multiple linear regression
sustainable transportation
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Shafida Azwina Mohd Shafie
Lee Vien Leong
Ahmad Farhan Mohd Sadullah
A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
description A trip generation manual and database are important for transportation planners and engineers to forecast new trip generation for any new development. Nowadays, many petrol stations have fast-food restaurant outlets. However, this land use category has yet to be included in the Malaysian Trip Generation Manual. Therefore, this study attempted to develop a new trip generation model for the new category of “petrol station with convenience store and fast-food restaurant”. Significant factors influencing the trip generation were also determined. Manual vehicle counts at the selected sites were conducted for 3 h during morning, afternoon and evening peak hours. Regression analysis was used in this study to develop the model. A simple trip generation model based on the independent variable number of restaurant seats showed a greater value for the coefficient of determination, R<sup>2</sup>, compared with the independent variables gross floor area in thousand square feet and number of pumps. The multivariable trip generation model using three independent variables generated the highest R<sup>2</sup> among all of the models but was still below a satisfactory level. Further study is needed to improve the model for this new land use category. We must ensure more accuracy in trip generation estimation for future planning and development.
format article
author Shafida Azwina Mohd Shafie
Lee Vien Leong
Ahmad Farhan Mohd Sadullah
author_facet Shafida Azwina Mohd Shafie
Lee Vien Leong
Ahmad Farhan Mohd Sadullah
author_sort Shafida Azwina Mohd Shafie
title A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
title_short A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
title_full A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
title_fullStr A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
title_full_unstemmed A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
title_sort trip generation model for a petrol station with a convenience store and a fast-food restaurant
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/7fff0ffd604447cda30d48561f772637
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