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

Author

Listed:
  • Shafida Azwina Mohd Shafie

    (School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Pulau Pinang, Malaysia)

  • Lee Vien Leong

    (School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Pulau Pinang, Malaysia)

  • Ahmad Farhan Mohd Sadullah

    (School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal 14300, Pulau Pinang, Malaysia)

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, R 2 , 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 2 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.

Suggested Citation

  • Shafida Azwina Mohd Shafie & Lee Vien Leong & Ahmad Farhan Mohd Sadullah, 2021. "A Trip Generation Model for a Petrol Station with a Convenience Store and a Fast-Food Restaurant," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12815-:d:683130
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    References listed on IDEAS

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    1. David E. Boyce & Huw C.W.L. Williams, 2015. "Forecasting Urban Travel," Books, Edward Elgar Publishing, number 13829.
    2. Llorca, Carlos & Ji, Joanna & Molloy, Joseph & Moeckel, Rolf, 2018. "The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor," Research in Transportation Economics, Elsevier, vol. 72(C), pages 27-36.
    3. Tuzmen Semih & Sipahi Seyhan, 2011. "A Multi-Criteria Factor Evaluation Model For Gas Station Site Selection," Journal of Global Management, Global Research Agency, vol. 2(1), pages 12-21, July.
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