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.
Highlights
Land use and transportation are interdependent; it is very important to understand the relationship between land use and transportation in order to plan for a sustainable and safe transportation system [1]
The Malaysian Trip Generation Study Phase IV methodology was developed based on the Institute of Transportation Engineers’ (ITE) method
This study looked at multiple linear regression, using single linear regression as in the Malaysian Trip Generation Manual (MTGM)
Summary
Land use and transportation are interdependent; it is very important to understand the relationship between land use and transportation in order to plan for a sustainable and safe transportation system [1]. When land is developed or expanded, engineers and transport planners need to predict the vehicle trips to be generated with regard to the developments, bringing additional trips to the existing road network. An accurate prediction of trips is important to investigate the impact of the development on the performance of the existing road and junctions. From this estimate, a developer has to provide sufficient road facilities to accommodate the additional trips. It is impractical to use a trip generation model with demographic and socioeconomic variables for a traffic impact study if there was a lack of suitable data at the early stage of development. The study focuses on land use characteristics prevalent during this stage
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
