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A combined destination and route choice model for a bicycle sharing system

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Abstract

This paper studies the supply variables that influence the destination and route choices of users of a bicycle sharing system in the Chilean city of Santiago. A combined trip demand logit model is developed whose explanatory variables represent attributes relating to the topology of the possible routes and other characteristics such as the presence of bikeways, bus service and controlled intersections. The data for the explanatory variables and system users were collected through field surveys of the routes and interviews conducted at the system stations. The results of the model show that proximity to stops on the Santiago Metro and the existence of bikeways are the main factors influencing destination and route choices. Also indicated by the model estimates are gender differences, a preference for tree-lined routes and an avoidance of routes with bus services. Finally, the outcomes reveal considerable potential for the integration of bicycle sharing systems with Metro transit.

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References

  • Abrahamsson, T., Lundqvist, L.: Formulation and estimation of combined network equilibrium models with applications to Stockholm. Transp. Sci. 33, 80–100 (1999)

    Article  Google Scholar 

  • Akar, G., Clifton, K.J.: Influence of individual perceptions and bicycle infrastructure on decision to bike. Transp. Res. Rec.: J. Transp. Res. Board 2140(1), 165–172 (2009)

    Article  Google Scholar 

  • Anas, A.: The estimation of multinomial logit models of joint location and mode choice from aggregated data. J. Reg. Sci. 21, 223–242 (1981)

    Article  Google Scholar 

  • Ben-Akiva, M., Bierlaire, M.: Discrete choice methods and their applications to short term travel decisions. Handbook of Transportation Science, pp. 5–33. Springer, US (1999)

    Chapter  Google Scholar 

  • Bekhor, S., Ben-Akiva, M.E., Ramming, M.S.: Evaluation of choice set generation algorithms for route choice models. Ann. Oper. Res. 144(1), 235–247 (2006)

    Article  Google Scholar 

  • Bovy, P.H.L., Bekhor, S., Prato, C.G.: The factor of revisited path size: alternative derivation. Transp. Res. Rec. 2076, 132–140 (2008)

    Article  Google Scholar 

  • Boyce, D., Bar-Gera, H.: Validation of multiclass urban travel forecasting models combining origin-destination, mode, and route choices. J. Reg. Sci. 43, 517–540 (2003)

    Article  Google Scholar 

  • Broach, J., Dill, J., Gliebe, J.: Where do cyclists ride? A route choice model developed with revealed preference GPS data. Transp. Res. Part A 46, 1730–1740 (2012)

    Google Scholar 

  • Castillo-Manzano, J.I., Sánchez-Braza, A.: Managing a smart bicycle system when demand outstrips supply: the case of the university community in Seville. Transportation 40(2), 459–477 (2013)

    Article  Google Scholar 

  • De Cea, J., Fernandez, J.E., De Grange, L.: Combined models with hierarchical demand choices: a multi-objective entropy optimization approach. Transport Rev. 28, 415–438 (2008)

    Article  Google Scholar 

  • DeGruyter, C.: Exploring bicycle level of service in a route choice context. Transport Eng. Aust 9(1), 5–11 (2003)

    Google Scholar 

  • De Grange, L., Boyce, D., González, F., Ortúzar, J.D.: Integration of spatial correlation into a combined travel model with hierarchical levels. Spat. Econ. Anal. 8, 71–91 (2013)

    Article  Google Scholar 

  • Dell’Olio, L., Ibeas, A., Moura, J.L.: Implementing bike-sharing systems. Proc. ICE-Municipal Eng. 164(2), 89–101 (2011)

    Article  Google Scholar 

  • Dill, J.: Bicycling for transportation and health: the role of infrastructure. J. Public Health Policy 30, 95–110 (2009)

    Article  Google Scholar 

  • Donoso, P., De Grange, L., González, F.: A Maximum entropy estimator for the aggregate hierarchical logit model. Entropy 13, 1425–1445 (2011)

    Article  Google Scholar 

  • Florian, M., Wu, J.H., He, S.: A multi-class multi-mode variable demand network equilibrium model with hierarchical logit structures. In: Gendreau, M., Marcotte, P. (eds.) Transportation and Network Analysis: Current Trends, pp. 119–133. Kluwer, Dordrecht (2002)

    Chapter  Google Scholar 

  • García, R., Marín, A.: Network equilibrium with combined modes: models and solution algorithms. Transp. Res. 39B, 223–254 (2005)

    Article  Google Scholar 

  • Garrard, J., Rose, G., Lo, S.K.: Promoting transportation cycling for women: the role of bicycle infrastructure. Prev. Med. 46(1), 55–59 (2008)

    Article  Google Scholar 

  • Ham, H., Tschangho, J.K., Boyce, D.: Implementation and estimation of a combined model of interregional, multimodal commodity shipments and transportation network flows. Transp. Res. 39B, 65–79 (2005)

    Article  Google Scholar 

  • Handy, S.L., Xing, Y., Buehler, T.J.: Factors associated with bicycle ownership and use: a study of six small US cities. Transportation 37(6), 967–985 (2010)

    Article  Google Scholar 

  • Heinen, E., Van Wee, B., Maat, K.: Commuting by bicycle: an overview of the literature. Transport Rev. 30(1), 59–96 (2010)

    Article  Google Scholar 

  • Hood, J., Sall, E., Charlton, B.: A GPS-based bicycle route choice model for San Francisco, California. Transp. Lett. 3(1), 63–75 (2011)

    Article  Google Scholar 

  • Hunt, J.D., Abraham, J.E.: Influences on bicycle use. Transportation 34(4), 453–470 (2007)

    Article  Google Scholar 

  • Martens, K.: Promoting bike-and-ride: the Dutch experience. Transp. Res. Part A 41(4), 326–338 (2007)

    Google Scholar 

  • Menghini, G., Carrasco, N., Schüssler, N., Axhausen, K.W.: Route choice of cyclists in Zurich. Transp. Res. Part A 44(9), 754–765 (2010)

    Google Scholar 

  • Lathia, N., Ahmed, S., Capra, L.: Measuring the impact of opening the London shared bicycle scheme to casual users. Transp. Res. Part C 22, 88–102 (2012)

    Article  Google Scholar 

  • Lin, J.R., Yang, T.H.: Strategic design of public bicycle sharing systems with service level constraints. Transp. Res. Part E 47(2), 284–294 (2011)

    Article  Google Scholar 

  • Ortúzar, J., Iacobelli, A., Valeze, C.: Estimating demand for a cycle-way network. Transp. Res. 34A, 353–373 (2000)

    Google Scholar 

  • Ortúzar, J., De, D., Willumsen, L.G.: Modeling Transport. Wiley, Chichester (2011)

    Book  Google Scholar 

  • Park, H., Lee, Y.J., Shin, H.C., Sohn, K.: Analyzing the time frame for the transition from leisure-cyclist to commuter-cyclist. Transportation 38(2), 305–319 (2011)

    Article  Google Scholar 

  • Parkin, J., Wardman, M., Page, M.: Estimation of the determinants of bicycle mode share for the journey to work using census data. Transportation 35(1), 93–109 (2008)

    Article  Google Scholar 

  • Prato, C.G.: Meta-analysis of choice set generation effects on route choice model estimates and predictions. Transport 27(3), 286–298 (2012)

    Article  Google Scholar 

  • Pucher, J., Dill, J., Handy, S.: Infrastructure, programs, and policies to increase bicycling: an international review. Prev. Med. 50, S106–S125 (2010)

    Article  Google Scholar 

  • Raveau, S., Muñoz, J.C., De Grange, L.: A topological route choice model for metro. Transp. Res. 45A, 138–147 (2011)

    Google Scholar 

  • Sener, I.N., Eluru, N., Bhat, C.R.: An analysis of bicycle route choice preferences in Texas, US. Transportation 36(5), 511–539 (2009)

    Article  Google Scholar 

  • Shaheen, S.: Hangzhou public bicycle: understanding early adoption and behavioral response to bikesharing in Hangzhou, China. Transp. Res. Rec. 2247, 34–41 (2011)

    Article  Google Scholar 

  • Shaheen, S., Guzman, S., Zhang, H.: Bikesharing across the globe. In: Pucher, J., Buehler, R. (eds.) City Cycling, pp. 183–209. MIT press, Cambridge (2012)

    Google Scholar 

  • Stinson, M.A., Bhat, C.R.: Commuter bicyclist route choice: analysis using a stated preference survey. Transp. Res. Rec.: J. Transp. Res. Board 1828(1), 107–115 (2003)

    Article  Google Scholar 

  • Van der Zijpp, N.J., Fiorenzo Catalano, S.: Path enumeration by finding the constrained K-shortest paths. Transp. Res. Part B 39(6), 545–563 (2005)

    Article  Google Scholar 

  • Winters, M., Teschke, K.: Route preferences among adults in the near market for bicycling: findings of the Cycling in Cities study. Am. J. Health Promot. 25(1), 40–47 (2010)

    Article  Google Scholar 

  • Winters, M., Davidson, G., Kao, D., Teschke, K.: Motivators and deterrents of bicycling: comparing influences on decisions to ride. Transportation 38(1), 153–168 (2011)

    Article  Google Scholar 

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Acknowledgments

This research was supported by FONDECYT Grant No. 11121199 and Centre for Sustainable Urban Development CEDEUS (Conicyt/Fondap/15110020).

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Authors and Affiliations

  1. Department of Industrial Engineering, Diego Portales University, Ejercito 441, Santiago, Chile

    Felipe González, Carlos Melo-Riquelme & Louis de Grange

Authors
  1. Felipe González
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  2. Carlos Melo-Riquelme
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  3. Louis de Grange
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Corresponding author

Correspondence to Felipe González.

Appendix

Appendix

The parameter values for two additional models containing different subsets of the set of possible explanatory variables are presented here together with the values for the “best” set discussed in the main text (See Table 5).

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González, F., Melo-Riquelme, C. & de Grange, L. A combined destination and route choice model for a bicycle sharing system. Transportation 43, 407–423 (2016). https://doi.org/10.1007/s11116-015-9581-6

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