Research Article
BibTex RIS Cite

Comparison of passenger wait and travel time perceptions at bus stops

Year 2023, , 598 - 607, 31.08.2023
https://doi.org/10.18185/erzifbed.1113137

Abstract

Passenger's perceived time is important in improving the public transport system. Since it is only possible to reach these values with a survey, it is very difficult to obtain them. Therefore, studies on this subject are very few and valuable. In the study, passengers' perceived waiting time and travel time values were determined at bus stop. In order to obtain these values, a survey was conducted with the passengers. The linear relationship between waiting time and travel time data was examined and a model was created. The data obtained with the basic regression model, which is the basis of machine learning, is divided into 20% test and 80% training data. The estimation was made with 85% success with the tested data.

Thanks

I would like to thank the Municipality of Isparta and Private Public Buses Operator for allowing the survey.

References

  • Doğan, G., and M. Özuysal. 2017. “Toplu Ulaşımda Bekleme Süresini Etkileyen Faktörlerin Incelenmesi: Güvenilirlik, Yolcu Bilgilendirme Sistemi ve Fiziksel Koşullar.” Teknik Dergi 28(3):7927–54.
  • Durrande‐Moreau, A. 1999. “Waiting for Service: Ten Years of Empirical Research.” International Journal of Service Industry Management 10(2):171–94.
  • Forsyth, E., and D. Silcock. 1985. “Real Time Information for Passengers on the London Underground. .” PTRC SAM Seminar J 157–71.
  • Hall, R. W. 2001. “Passenger Waiting Time and Information Acquisition Using Automatic Vehicle Location for Verification.” Transportation Planning and Technology 24(3):249–69.
  • Hui, M. K., and D. K. Tse. 1996. “What to Tell Consumers in Waits of Different Lengths: An Integrative Model of Service Evaluation.” Journal of Marketing 60:81–90.
  • Infopolis2. 1998. Review of Current Passenger Information Systems.
  • Katz, K., B. Larson, and R. Larson. 1991. “Prescription for the Waiting-in-Line Blues: Entertain, Enlighten and Engage.” Sloan Management Review 32(2):44–53.
  • Moreau, A. 1992. “Public Transport Waiting Times as Experienced by Customers: Marketing Research Involving the Grenoble System .” Public Transport International 41(3):52–68.
  • Pavelescu, F. M. 2004. “Features of the Ordinary Least Square (OLS) Method. Implications for the Estimation Methodology. .” Journal for Economic Forecasting 1(2):85–101.
  • Schweiger, C. 2003. Real Time Bus Arrival Information Systems.
  • Todhunter I, Pearson K. 1886. A History of the Theory of Elasticity and of the Strength of Materials from Galilei to the Present Time. Cambridge: Cambridge University Press. Vol. I.
  • Wardman, M., J. Hine, and S. G. Stradling. 2001. Interchange and Travel Choice.
Year 2023, , 598 - 607, 31.08.2023
https://doi.org/10.18185/erzifbed.1113137

Abstract

References

  • Doğan, G., and M. Özuysal. 2017. “Toplu Ulaşımda Bekleme Süresini Etkileyen Faktörlerin Incelenmesi: Güvenilirlik, Yolcu Bilgilendirme Sistemi ve Fiziksel Koşullar.” Teknik Dergi 28(3):7927–54.
  • Durrande‐Moreau, A. 1999. “Waiting for Service: Ten Years of Empirical Research.” International Journal of Service Industry Management 10(2):171–94.
  • Forsyth, E., and D. Silcock. 1985. “Real Time Information for Passengers on the London Underground. .” PTRC SAM Seminar J 157–71.
  • Hall, R. W. 2001. “Passenger Waiting Time and Information Acquisition Using Automatic Vehicle Location for Verification.” Transportation Planning and Technology 24(3):249–69.
  • Hui, M. K., and D. K. Tse. 1996. “What to Tell Consumers in Waits of Different Lengths: An Integrative Model of Service Evaluation.” Journal of Marketing 60:81–90.
  • Infopolis2. 1998. Review of Current Passenger Information Systems.
  • Katz, K., B. Larson, and R. Larson. 1991. “Prescription for the Waiting-in-Line Blues: Entertain, Enlighten and Engage.” Sloan Management Review 32(2):44–53.
  • Moreau, A. 1992. “Public Transport Waiting Times as Experienced by Customers: Marketing Research Involving the Grenoble System .” Public Transport International 41(3):52–68.
  • Pavelescu, F. M. 2004. “Features of the Ordinary Least Square (OLS) Method. Implications for the Estimation Methodology. .” Journal for Economic Forecasting 1(2):85–101.
  • Schweiger, C. 2003. Real Time Bus Arrival Information Systems.
  • Todhunter I, Pearson K. 1886. A History of the Theory of Elasticity and of the Strength of Materials from Galilei to the Present Time. Cambridge: Cambridge University Press. Vol. I.
  • Wardman, M., J. Hine, and S. G. Stradling. 2001. Interchange and Travel Choice.
There are 12 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

Buket Çapalı 0000-0003-1917-1654

Early Pub Date August 24, 2023
Publication Date August 31, 2023
Published in Issue Year 2023

Cite

APA Çapalı, B. (2023). Comparison of passenger wait and travel time perceptions at bus stops. Erzincan University Journal of Science and Technology, 16(2), 598-607. https://doi.org/10.18185/erzifbed.1113137