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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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) |
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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 |
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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 |
work_keys_str_mv |
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