Experimental research of passenger trip route choice probability
DOI:
https://doi.org/10.15587/1729-4061.2014.23140Keywords:
city passenger transport, passenger, travel line, alternative routes, probability, waiting time, regression modelAbstract
Solving a challenging task of designing or improving the system of public passenger transport is impossible without predicting the distribution of passenger traffic over sections of the route network. For comparison of alternative passenger routes, in addition to the parameters within the known function of routes attractiveness, it is proposed to use the initial and marginal probability of choice as static parameters and the actual waiting time of passenger vehicles at a bus stop as a dynamic parameter. The initial probability of choosing the trip route is the probability of choosing this route when the actual waiting time is equal to zero. The marginal probability of choosing the route is the probability of choosing the trip route in case of the deficit of total capacity opportunities for all alternative routes, which determines the distribution of passenger traffic on alternative routes in proportion to their transport possibilities. Experimental data were obtained by a questionnaire poll of a fixed group of respondents in April and May, 2012. The group included 50 students, 25 workers and 15 employees, who had a choice of three routes.
There were processed 1468 questionnaires. According to the results of experimental data processing, it was determined that the regression models have the feature of power functions. In addition, for routes whose initial probability is smaller than the marginal one, the probability of choosing this route when increasing the actual waiting time increases. Statistical processing of the results of the experiment showed that the initial probability of choosing the route depends on the function of the attractiveness of the route at a particular bus stop
References
- Доля, В. К. Теоретические основы и методы организации маршрутных автобусных перевозок пассажиров в крупных городах [Текст]: в 2 т.: дис. …канд. техн. наук 05.22.10 / В. К. Доля // Эксплуатация автомобильного транспорта. – Московский автомобильно-дорожный институт, 1993. – 301 с.
- Вдовиченко, В. О. Ефективність функціонування міської транспортної системи [Текст]: автореф. дис. … канд. техн. наук 05.22.01 / В. О. Вдовіченко // Транспортні системи. – Національний транспортний університет, 2004. – 20 с.
- Горбачов, П. Ф. Оцінка реакції пасажира на час очікування міського пасажирського транспорту [Текст] / П. Ф. Горбачов, Д. М. Копитков // Восточно-Европейский журнал передовых технологий. – 2008. – Т. 1, № 2 (31). – С. 40–42.
- Горбачов, П. Ф. Методика определения вида функции привлекательности пути следования в городе [Текст] : сб. научн. тр. / П. Ф. Горбачов // Автомобильный транспорт. – Харьков: ХНАДУ, 2007. – Вып. 20. – С. 122–124.
- Ben-Akiva, M. Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies) [Text] / M. E. Ben-Akiva, S. R. Lerman. – Massachusetts: MIT Press, 1985. – 10 p.
- Ben-Akiva, M. Discrete choice models with applications to departure time and route choice [Text] / M. E. Ben-Akiva, M. Bierlaire. – Handbook of Transportation Science, 2003. – 32 р.
- McFadden, D. Modeling the choice of residential location [Text] / D. McFadden. – Amsterdam: University of California, Berkeley and Yale University, 1977. – 34 p.
- Raveau, S. Sequential and Simultaneous Estimation of Hybrid Discrete Choice Model (Some New Findings) / S. Raveau, R. Alvarez-Daziano, M. Francisca Yanez // Transportation Research Record: Journal of the Transportation Research Board. – 2010. – Vol. 2156. – P. 131–139.
- Ke, Q. Passenger route choice model and algorithm in the urban rail transit network [Text] / Q. Ke, Z. Peng, Q. Zhi-peng // Journal of Industrial Engineering and Management. – 2013. – Vol. 6 (1). – P. 113–123.
- Vegano, C. Bus Use Behavior in Multi-Route Corridors [Text] / C. A. Vegano. – Massachusetts Institute of Technology, 2013. – 140 p.
- Dolya, V. K. (1993). Theoretical basics and methods for organization of passenger bus transportation in largest cities : in 2 vol. Exploitation of automobile transport. Moscow Automobile and Highway Institute, 301.
- Vdovichenko, V. O. (2004). Effectiveness of city transport system performance. Transport systems”. National transport university, 20.
- Gorbatchov, P. F., Kopytkov, D. M. (2008). Estimation of passenger reaction on waiting time of urban passenger transport. Eastern-European Journal of Enterprise Technologies, Vol. 1, № 2 (31), 40–42.
- Gorbatchov, P. F. (2007). Methodic of definition of kind of city travel line attractiveness function. Automobile transport: Collected science papers, 20, 122–124.
- Ben-Akiva, M., Lerman, S. (1985). Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies). Massachusetts, USA: MIT Press, 10.
- Ben-Akiva, M., Bierlaire, M. (2003). Discrete choice models with applications to departure time and route choice. Handbook of Transportation Science, 32.
- McFadden, D. (1977). Modeling the choice of residential location. Amsterdam: University of California, Berkeley and Yale University, 34.
- Raveau, S., Alvarez-Daziano, R., Francisca Yanez, M. (2010). Sequential and Simultaneous Estimation of Hybrid Discrete Choice Model (Some New Findings). Transportation Research Record: Journal of the Transportation Research Board, 2156, 131–139.
- Ke, Q., Peng, Z., Zhi-peng Q. (2013). Passenger route choice model and algorithm in the urban rail transit network. Journal of Industrial Engineering and Management, 6 (1), 113–123.
- Vegano, C. A. (2013). Bus Use Behavior in Multi-Route Corridors. Massachusetts, USA: MIT Press, 140.
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