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A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
- Source :
- Sustainability, Vol 13, Iss 12815, p 12815 (2021), Sustainability, Volume 13, Issue 22
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- 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, R2, 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 R2 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.
- Subjects :
- multiple linear regression
Computer science
media_common.quotation_subject
Geography, Planning and Development
petrol station
TJ807-830
Management, Monitoring, Policy and Law
TD194-195
Renewable energy sources
Transport engineering
fast-food restaurant
GE1-350
Gross floor area
sustainable transportation
Fast food restaurant
media_common
Variables
Land use
Environmental effects of industries and plants
Renewable Energy, Sustainability and the Environment
land use
Regression analysis
trip generation
Environmental sciences
Sustainable transport
Square (unit)
Trip generation
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Volume :
- 13
- Issue :
- 12815
- Database :
- OpenAIRE
- Journal :
- Sustainability
- Accession number :
- edsair.doi.dedup.....1142c32dd763b62d7a239435a8b22385