Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran


BACKGROUN AND OBJECTIVES: Ride-hailing is a term to describe booking rides and paying for car services through a smartphone app with a Transportation Network Company. As an innovation in the ride-hailing investigation in Iran, this paper is sought to analyze the influence of individual's demographic characteristics on their travel mode choice between ride-hailing, traditional taxi and private car. For this purpose, questionnaires in six different statuses have been designed, and 414 questionnaires have been completed in 22 districts of Tehran metropolitan region.
METHODS: To check the utility of choosing private car and traditional taxi compared to ride-hailing, on short, medium, and, long travel distances with commuting and non-commuting purposes in the peak hours of morning and evening, the six multinomial logit models have been done by considering the ride-hailing option as reference alternative, and the private car and traditional taxi options as the first and second `
FINDING:Initially, six logit models were generated, which fitted models are all appropriate. All of the variables used in these models in choosing private car or traditional taxis compared to ride-hailing in different models were statistically significance. But, gender, household dimension, and individuals' educational level didn’t affect the individual's choice.
CONCLUSION: The results showed that ride-hailing is more acceptable to younger people, and high-income people attract more to it. Therefore, ride-hailing services can be considered as a wealthy phenomenon and for the young generation. In addition, given the 67% response of individuals incline to use ride-hailing services in a shared way, because of the interest of individuals to use this mode of travel due to its lower cost in some situations, which can be considered as a separate mode of transportation.


Main Subjects

Agyemang, E., (2017). Mode choice for long distance trips: Evidence from the Greater Accra Metropolitan Area of Ghana. J. Transp. Geogr., 64: 150-157 (8 pages).

Alemi, F.; Circella, G.; Mokhtarian, P.; Handy, S., (2018). Exploring the latent constructs behind the use of ridehailing in California. J. Cho. Modell., 29: 47-62, (16 pages).

Alemi, F.; Circella, G.; Mokhtarian, P.; Handy, S., (2019). What drives the use of ridehailing in California? Ordered probit models of the usage frequency of Uber and Lyft. Transp. Res. Part C., 102: 233-248 (16 pages).

Antolín, F., (2018). Dealing with correlation in discrete choice Models. Ecole Polytechnique Federal De Lausanne., Switzerland.

Ben-Akiva, M.E.; Lerman, S.R., (1985). Discrete choice analysis: Theory and application to travel demand. MIT press, Massachusetts, USA.

Clewlow, R.; Mishra, G., (2017). Disruptive transportation: The adoption, utilization, and impacts of ridesourcing in the US.  Institute of Transportation Studies, University of California, Davis, CA, USA.

Cochran, W.G., (1963). Sampling techniques, 2nd Edition ed. Wiley, New York, USA.

Cohen, J.; Cohen, P.; West, S.G.; Aiken, L.S., (2002). Applied multiple regression/correlation analysis for the behavioral sciences, 3rd Edition. Routledge, USA.

Contreras, S.D.; Paz A., (2018). The effects of   ride-hailing companies on the taxicab industry in Las Vegas, Nevada. Transp. Res. Part A., 115: 63-70 (8 pages).

Conway, M.W.; Salon, D.; King, A.D., (2018). Trends in taxi use and the advent of ridehailing, 1995-2017: evidence from the US national household travel survey. Urban sci., 2(3): 79-102 (23 pages).

Dias, F.F.; Lavieri, P.S.; Garikapati, V.M; Astroza, S.; Pendyala, R.M.; Bhat, C.R., (2017). A behavioral choice model of the use of car-sharing and ride-sourcing services. Transp., 44: 1307–1323 (17 pages).

Etminani- Ghasrodashti, R.; Hamidi, S., (2019). Individuals’ demand for ride-hailing services: Investigating the combined effects of attitudinal factors, land use, and travel attributes on demand for app-based taxis in Tehran, Iran. J. Sustainability., 11(20): 5755-5773 (19 pages).

Gilibert, M.; Ribas, I.; Rosen, C.; Siebeneich, A., (2020). On-demand shared ride-hailing for commuting purposes: Comparison of Barcelona and Hanover case studies. Transp. Res. Procedia., 47: 323-330 (8 pages).

Goulias, K.G., (2002). Transportation systems planning: Methods and applications. CRC Press, Boca Raton, Florida, USA.

Habib, K.N., (2019). Mode choice modelling for hailable rides: an investigation of the competition of uber with other modes by using an integrated non-compensatory choice model with probabilistic choice set formation. Transp. Res. Part A., 129: 205-216 (12 pages).

Hensher, D.A.; Rose, J.M.; Greene, W.H., (2015). Applied choice analysis, 2nd Edition. Cambridge University Press, New York, USA.

Hosmer, D.W.; Lemeshow, S., (2004). Applied logistic regression, 3rd Edition. Wiley Publication, New York, USA.

Hu, B.; Shao, J.; Palta, M., (2006). Pseudo-R2 in logistic regression model. Stat. Sin., 16: 847-860 (14 pages).

Lavieri, P.S.; Bhat, C.R., (2019). Investigating objective and subjective factors influencing the adoption, frequency, and characteristics of ride-hailing trips. Transp. Res. Part C., 105: 100-125 (25 pages).

Mahmoudifard, S.M.; Kermanshah, A.H.; Shabanpour, R.; Mohammadian, A., (2017). Assessing public opinions on Uber as a ridesharing transportation system: Explanatory analysis and results of a survey in Chicago area. 96th annual meeting of the transportation research board (TRB), Washington D.C., USA.

McFadden, D., (1974). Conditional logit analysis of qualitative choice behavior. Zarembka", P. (ed.): Frontiers in Econometrics. Academic Press, USA.

Ortúzar, J.d.D.; Willumsen, L.G., (2011). Modelling transport, 4th Edition. Wiley, UK.

Rayle, L.; Dai, D.; Chan, N.; Cervero, R.; Shaheen, S., (2016) Just a better taxi? A survey-based comparison of taxis, transit and ridesourcing services in San Francisco. Transp. Policy., 45: 168-178 (11 pages).

Sheffi, Y., (1985). Urban transportation networks: Equilibrium analysis with mathematical programming methods. Englewood Cliffs, New Jerssy, USA.

Sikder, S., (2019). Who uses ride-hailing services in the United States?. Transp. Res. Rec. J. Transp. Res. Board., 2673(12): 40-54 (15 pages).

Souza Silva, L.A.; Andrade, M.O.; Maia, M.L.A., (2018). how does the ride-hailing systems demand affect individual transport regulation? Res. Transp. Econ., 69: 600-606 (7 pages).

Tang, B.-J.; Li, X.-Y.; Yu, B.; Wei, Y.-M., (2019). How app-based ride-hailing services influence travel behavior: An empirical study from China. Int. J. Sustainable Transp., 14(7): 1-15 (15 pages).

Tirachini, A.; Río, M., (2019). Ride-hailing in Santiago de Chile: Users’ characterization and effects on travel behaviour. Transp. Policy., 82: 46-57 (12 pages).

Train, K.E., (2009). Discrete choice methods with simulation, 2nd Edition. Cambridge University Press, New York, USA.

Tutz, G., (2002). Regression for categorical data. Cambridge University Press, Munich.

Young, M.; Farber, S., (2019). The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey. Transp. Res. Part A., 119: 382-392 (11 pages).


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