Assessing effects of bus service quality on passengers’ taxi-hiring behavior

Hong-Wei Wang
Center for ITS and UAV Applications, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China
Zhong-Ren Peng
Center for ITS and UAV Applications, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China; Dept of Urban and Regional Planning, University of Florida, United States
Qing-Chang Lu
Center for ITS and UAV Applications, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China
Daniel (Jian) Sun
Center for ITS and UAV Applications, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China
Cong Bai
Center for ITS and UAV Applications, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, China

Abstract

Due to low quality of bus service in a congested road network, some bus-waiting travelers would take taxis instead in order to save time or get to their destinations on time. However, the correlation between bus service quality and passengers’ taxi-hiring behavior is essentially unknown. This paper aims to assess the effects of bus service quality on taxi-hiring behavior based on historical data from the Global Position Systems (GPS) equipped buses and taxis in the city of Shenzhen, China. The taxi-hiring behavior is captured by analyzing the taxi-data, such as the origins of passenger pick-up, destinations of passengers drop-off, and taxi paths from the taxi movement data. The quality of bus service is assessed based on the bus location information. Parametric, semiparametric and nonparametric models are developed to explore the effects of bus service quality on taxi-hiring behavior. The results indicate that bus speed, headway and stoppage time are the core factors affecting passengers’ taxi-hiring behavior. Availability of metro, time of the day and bus route directions are the secondary important factors. This study shows that when buses run with relatively low and stable speed, taxi-hiring behavior is sensitive to the slight change of bus speed. More passengers would like to take taxis when bus speed starts to decline, or speed or stoppage time of buses tends to be irregular. However, the effects of bus headway on taxi-hiring behavior are more complicated. A specific turning point (coefficient of variability of mean headway ≈ 0.7) in the relationship between taxi-hiring behavior and bus headway is shown in this paper. Based on data mining and model development, this research presents details on attributes of bus service that drive passengers to switch to taxis and how changes in those attributes encourage modal shift from buses to taxis.

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References

Alonso, B.; Moura, J. L.; Dell’Olio, L.; Ibeas, Á. 2011. Bus stop location under different levels of network congestion and elastic demand, Transport 26(2): 141–148. http://doi.org/10.3846/16484142.2011.584960

Carslaw, D. C.; Beevers, S. D.; Tate, J. E. 2007. Modelling and assessing trends in traffic-related emissions using a generalised additive modelling approach, Atmospheric Environment 41(26): 5289–5299. http://doi.org/10.1016/j.atmosenv.2007.02.032

Dell’Olio, L.; Ibeas, Á.; Dominguez, A.; Gonzalez, F. 2012. Passenger preference analysis: light rail transit or bus versus car, Transport 27(3): 276–285. http://doi.org/10.3846/16484142.2012.719839

Dell’Olio, L.; Ibeas, Á.; Cecin, P. 2011a. The quality of service desired by public transport users, Transport Policy 18(1): 217–227. http://doi.org/10.1016/j.tranpol.2010.08.005

Dell’Olio, L.; Ibeas, Á.; Cecín, P.; Dell’Olio, F. 2011b. Willingness to pay for improving service quality in a multimodal area, Transportation Research Part C: Emerging Technologies 19(6): 1060–1070. http://doi.org/10.1016/j.trc.2011.06.004

Fan, W.; Machemehl, R. B. 2002. Characterizing bus transit passenger waiting times, in 2nd Material Specialty Conference of the Canadian Society for Civil Engineering, 5–8 June 2002, Montreal, Quebec, Canada, 1–10.

French, J. L.; Kammann, E. E.; Wand, M. P. 2001. [Semiparametric nonlinear mixed-effects models and their applications]: comment, Journal of the American Statistical Association 96(456): 1285–1288. http://doi.org/10.1198/016214501753381913

Gu, S. C.; Luo, G. Z.; Zhang, Y. B. 2010. The way home is crowded and sad, Shenzhen Special Zone Daily 8. Available from Internet: http://sztqb.sznews.com/html/2010-08/02/content_1178035.htm (in Chinese).

Hanaoka, S.; Qadir, F. M. 2009. Passengers’ perceptions and effects of bus-holding strategy using automatic vehicle location technology, Journal of Advanced Transportation 43(3): 301–319. http://doi.org/10.1002/atr.5670430304

Hastie, T. J.; Tibshirani, R. J. 1990. Generalized Additive Models. Chapman and Hall/CRC. 352 p.

Lai, W.-T.; Chen, C.-F. 2011. Behavioral intentions of public transit passengers: the roles of service quality, perceived value, satisfaction and involvement, Transport Policy 18(2): 318–325. http://doi.org/10.1016/j.tranpol.2010.09.003

Lei, D. 2009. Buses, cannot move!, Shenzhen Evening News 3. Available from Internet: http://wb.sznews.com/html/2009-03/23/content_558803.htm (in Chinese).

Li, B.; Zheng, J. Y.; Hu, J. W. 2009. Ten thousand people wait buses at Meilinguan station, Shenzhen Economic Daily 12. Available from Internet: http://szsb.sznews.com/html/2009-12/15/content_890742.htm (in Chinese).

Litman, T. 2013. Understanding Transport Demands and Elasticities How Prices and Other Factors Affect Travel Behavior. Victoria Transport Policy Institute, Canada. 76 p. Available from Internet: http://www.vtpi.org/elasticities.pdf

Osuna, E. E.; Newell, G. F. 1972. Control strategies for an idealized public transportation system, Transportation Science 6(1): 57–72. http://doi.org/10.1287/trsc.6.1.52

Redman, L.; Friman, M.; Gärling, T.; Hartig, T. 2013. Quality attributes of public transport that attract car users: a research review, Transport Policy 25: 119–127. http://doi.org/10.1016/j.tranpol.2012.11.005

Rojo, M.; Gonzalo-Orden, H.; Dell’Olio, L.; Ibeas, Á. 2012. Relationship between service quality and demand for inter-urban buses, Transportation Research Part A: Policy and Practice 46(10): 1716–1729. http://doi.org/10.1016/j.tra.2012.07.006

Rose, J. M.; Hensher, D. A. 2014. Demand for taxi services: new elasticity evidence, Transportation 41(4): 717–743. http://doi.org/10.1007/s11116-013-9482-5

Ruppert, D.; Wand, M.; Carroll, R. J. 2003. Semiparametric Regression. Cambridge University Press. 404 p.

Salek, M.-D.; Machemehl, R. B. 1999. Characterizing Bus Transit Passenger Wait Times. Report No SWUTC/99/167211-1. Southwest Region University Transportation Center, Texas Transportation Institute, The Texas A&M University System. 230 p. Available from Internet: http://static.tti.tamu.edu/swutc.tamu.edu/publications/technicalreports/167211-1.pdf

Shively, T. S.; Kockelman, K.; Damien, P. 2010. A Bayesian semi-parametric model to estimate relationships between crash counts and roadway characteristics, Transportation Research Part B: Methodological 44(5): 699–715. http://doi.org/10.1016/j.trb.2009.12.019

Shively, T. S.; Sager, T. W. 1999. Semiparametric regression approach to adjusting for meteorological variables in air pollution trends, Environmental Science & Technology 33(21): 3873–3880. http://doi.org/10.1021/es990286b

Sun, D.; Peng, Z.-R.; Shan, X.; Chen, W.; Zeng, X. 2011. Development of web-based transit trip-planning system based on service-oriented architecture, Transportation Research Record: Journal of the Transportation Research Board 2217: 87–94. http://doi.org/10.3141/2217-11

TRB. 2013. Transit Capacity and Quality of Service Manual. TRB’s Transit Cooperative Highway Research Program (TCRP) Report 165. Transportation Research Board (TRB), Washington, DC. Available from Internet: http://www.trb.org/Main/Blurbs/169437.aspx

Wan, W.; Birch, J. B. 2011. A semiparametric technique for the multi-response optimization problem, Quality and Reliability Engineering International 27(1): 47–59. http://doi.org/10.1002/qre.1106

Wood, S. N. 2006. Generalized Additive Models: an Introduction with R. Chapman and Hall/CRC. 410 p.

Wood, S. N. 2003. Thin plate regression splines, Journal of the Royal Statistical Society: Series B (Statistical Methodology) 65(1): 95–114. http://doi.org/10.1111/1467-9868.00374

Wood, S. N.; Augustin, N. H. 2002. GAMs with integrated model selection using penalized regression splines and applications to environmental modelling, Ecological Modelling 157(2–3): 157–177. http://doi.org/10.1016/S0304-3800(02)00193-X

Xiao, H.; Xu, J. H. 2012. More than ten million people take buses every day in Shenzhen, Shenzhen Economic Daily 10. Available from Internet: http://szsb.sznews.com/html/2012-10/29/content_2254119.htm (in Chinese).

Xie, L. W.; Chen, J. J.; Luo, J. J. 2013. Waiting 1 hour to get on the buses, the reporters of the crystal news experienced the worst buses, The Crystal News 11. Available from Internet: http://jb.sznews.com/html/2013-11/05/content_2673778.htm (in Chinese).
How to Cite
Wang, H.-W., Peng, Z.-R., Lu, Q.-C., Sun, D. (Jian), & Bai, C. (2017). Assessing effects of bus service quality on passengers’ taxi-hiring behavior. OJS Journal B, 33(2), 446–460. https://doi.org/10.3846/16484142.2016.1275786