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How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach

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This study aims to understand how self-assessed health status relates to preferences for cycling infrastructure. An integrated latent class and latent variable choice model is fitted using responses to a stated preference experiment from a panel of New York City residents (N = 801). Estimates show that people with stated good physical health tend to have preference parameters similar to those of experienced cyclists. This result means that the provision of cycling infrastructure with the purpose of attracting non-cyclists also has the potential of attracting those with worse health outcomes. This result suggests a double benefit coming from car use reduction and lower health spending.

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  • Aldred, R., Elliott, B., Woodcock, J., Goodman, A.: Cycling provision separated from motor traffic: a systematic review exploring whether stated preferences vary by gender and age. Transp. Rev. 1647, 1–27 (2016)

    Google Scholar 

  • Araghi, Y., Kroesen, M., Molin, E., Van Wee, B.: Revealing heterogeneity in air travelers’ responses to passenger-oriented environmental policies: a discrete-choice latent class model. Int. J. Sustain. Transp. 10(9), 765–772 (2016)

    Article  Google Scholar 

  • Bahamonde-Birke, F., Kunert, U., Link, H., Ortúzar, J.D.D.: About attitudes and perceptions: finding the proper way to consider latent variables in discrete choice models. Transportation 42(6), 1–19 (2015)

    Google Scholar 

  • Beharry-Borg, N., Scarpa, R.: Valuing quality changes in Caribbean coastal waters for heterogeneous beach visitors. Ecol. Econ. 69(5), 1124–1139 (2010)

    Article  Google Scholar 

  • Bhat, C.R.: An endogenous segmentation mode choice model with an application to intercity travel. Transp. Sci. 31(1), 34–48 (1997)

    Article  Google Scholar 

  • Buehler, R., Dill, J.: Bikeway networks: a review of effects on cycling. Transp. Rev. 36(1), 9–27 (2016)

    Article  Google Scholar 

  • Chorus, C.G., Kroesen, M.: On the (im-)possibility of deriving transport policy implications from hybrid choice models. Transp. Policy 36, 217–222 (2014)

    Article  Google Scholar 

  • Daly, A., Hess, S., de Jong, G.: Calculating errors for measures derived from choice modelling estimates. Transp. Res. Part B Methodol. 46(2), 333–341 (2012)

    Article  Google Scholar 

  • El Zarwi, F., Vij, A., Walker, J.L.: A discrete choice framework for modeling and forecasting the adoption and diffusion of new transportation services. Transp. Res. Part C Emerg. Technol. 79, 207–223 (2017)

    Article  Google Scholar 

  • Ferguson, M., Mohamed, M., Higgins, C.D., Abotalebi, E., Kanaroglou, P.: How open are Canadian households to electric vehicles? A national latent class choice analysis with willingness-to-pay and metropolitan characterization. Transp. Res. Part D Trans. Environ. 58(2017), 208–224 (2018)

    Article  Google Scholar 

  • Hess, S., Palma, D.: Apollo: a flexible, powerful and customisable freeware package for choice model estimation and application. J. Choice Model. 32, 1–43 (2019)

    Article  Google Scholar 

  • Hess, S., Shires, J., Jopson, A.: Accommodating underlying pro-environmental attitudes in a rail travel context: application of a latent variable latent class specification. Transp. Res. Part D Transp. Environ. 25, 42–48 (2013)

    Article  Google Scholar 

  • Ho, K.A., Acar, M., Puig, A., Hutas, G., Fifer, S.: What do Australian patients with inflammatory arthritis value in treatment? A discrete choice experiment. Clin. Rheumatol. 39(4), 1077–1089 (2020)

    Article  Google Scholar 

  • Hurtubia, R., Nguyen, M.H., Glerum, A., Bierlaire, M.: Integrating psychometric indicators in latent class choice models. Transp. Res. Part A Pol. Prac. 64, 135–146 (2014)

    Article  Google Scholar 

  • Kamakura, W., Russell, G.: A probabilistic choice model for market segmentation and elasticity structure. J. Mark. Res. 26(4), 379–390 (1989)

    Article  Google Scholar 

  • Kroesen, M., Chorus, C.: The role of general and specific attitudes in predicting travel behavior-a fatal dilemma? Travel Behav. Soc. 10, 33–41 (2018)

    Article  Google Scholar 

  • Krueger, R., Vij, A., Rashidi, T.H.: Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour. Transportation 45(3), 789–825 (2018)

    Article  Google Scholar 

  • Lindström, M.: Means of transportation to work and overweight and obesity: a population-based study in southern Sweden. Prev. Med. 46(1), 22–28 (2008)

    Article  Google Scholar 

  • Nello-Deakin, S.: Environmental determinants of cycling: Not seeing the forest for the trees? J. Transp. Geogr. 85(2019), 102704 (2020)

    Article  Google Scholar 

  • Palma, D., Ortúzar, J., d. D., Rizzi, L. I., Guevara, C. A., Casaubon, G., and Ma, H.: Modelling choice when price is a cue for quality a case study with Chinese wine consumers. J. Choice Model. 19, 24–39 (2016)

  • Pucher, J., Buehler, R.: Making cycling irresistible: lessons from the Netherlands. Denmark and Germany. Transp. Rev. 28(4), 495–528 (2008)

    Article  Google Scholar 

  • Riiser, A., Solbraa, A., Jenum, A.K., Birkeland, K.I., Andersen, L.B.: Cycling and walking for transport and their associations with diabetes and risk factors for cardiovascular disease. J. Transp. Health 11(2017), 193–201 (2018)

    Article  Google Scholar 

  • Rossetti, T., Guevara, C.A., Galilea, P., Hurtubia, R.: Modeling safety as a perceptual latent variable to assess cycling infrastructure. Transp. Res. Part A Policy Prac. 111(February), 252–265 (2018)

    Article  Google Scholar 

  • Rozier, M.D., Ghaferi, A.A., Rose, A., Simon, N.J., Birkmeyer, N., Prosser, L.A.: Patient preferences for bariatric surgery: findings from a survey using discrete choice experiment methodology. JAMA Surg. 154(1), 1–10 (2019)

    Article  Google Scholar 

  • Shen, J.: Latent class model or mixed logit model? A comparison by transport mode choice data. Appl. Econ. 41(22), 2915–2924 (2009)

    Article  Google Scholar 

  • Stinson, M. A., Bhat, C. R.: A comparison of the route preferences of experienced and inexperienced bicycle commuters. Transportation Research Board 84th Annual Meeting, (512), (2005)

  • Tsirimpa, A., Polydoropoulou, A., Antoniou, C.: Development of a latent variable model to capture the impact of risk aversion on travelers’ switching behavior. J. Choice Model. 3(1), 127–148 (2010)

    Article  Google Scholar 

  • Walker, J., Ben-Akiva, M.: Generalized random utility model. Math. Soc. Sci. 43(3), 303–343 (2002)

    Article  Google Scholar 

  • Walker, J., Li, J.: Latent lifestyle preferences and household location decisions. J. Geogr. Syst. 9, 77–101 (2007)

    Article  Google Scholar 

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This research was supported by the Center for Transportation, Environment, and Community Health, CTECH (data collection); the National Science Foundation Award No. SES-2031841 (methodology); and the Chilean National Agency for Research and Development’s Scholarship Program (ANID) / Doctorado Becas Chile / 2019 / 72200167 (graduate research assistant support). On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Project conceptualization was done by both authors. Material preparation and data collection was performed by Ricardo A. Daziano. Model estimation was performed by Tomás Rossetti. A first draft of the manuscript was written by Tomás Rossetti and Ricardo A. Daziano edited it. All authors read and approved the final manuscript.

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Correspondence to Tomás Rossetti.

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Rossetti, T., Daziano, R. How does self-assessed health status relate to preferences for cycling infrastructure? A latent class and latent variable approach. Transportation 50, 913–928 (2023).

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