A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant
| Autor: | Lee Vien Leong, Shafida Azwina binti Mohd Shafie, Ahmad Farhan Mohd Sadullah |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
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 |
| Zdroj: | Sustainability, Vol 13, Iss 12815, p 12815 (2021) Sustainability Volume 13 Issue 22 |
| ISSN: | 2071-1050 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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