Synopsis of bicycle demand in the City of Toronto: Investigating the effects of perception, consciousness and comfortability on the purpose of biking and bike ownership

Transportation Research Part A: Policy and Practice

Volumn 70, Issue , 2014, Pages 67-80

  Habib, Khandker Nurul ^a   Mann, Jenessa ^a   Mahmoud, Mohamed ^a   Weiss, Adam ^a  

^a UNIVERSITY OF TORONTO   (Canada)

Author keywords

Bicyle demand; Bike ownership level; Integrated discrete choice model with latent variables; Utilitarian and recreational biking

Indexed keywords

PETROLEUM RESERVOIR EVALUATION;

BICYLE DEMAND; BIKE OWNERSHIP LEVEL; DISCRETE CHOICE; EMPIRICAL INVESTIGATION; EMPIRICAL MODEL; INTEGRATED ECONOMETRIC MODELS; LATENT VARIABLE; UTILITARIAN AND RECREATIONAL BIKING;

BICYCLES;

CYCLE TRANSPORT; DISCRETE CHOICE ANALYSIS; ECONOMETRICS; NUMERICAL MODEL; TRANSPORTATION PLANNING; TRANSPORTATION POLICY; URBAN TRANSPORT;

CANADA; ONTARIO [CANADA]; TORONTO;

EID: 84909982528     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2014.09.012     Document Type: Article

References (27)

1. Aptech Systems. 2013. Gauss User's Manual. http://www.aptech.com/.
2. Bagley M.N., Mokhtarian P.L. The impact of residential neighbourhood type on travel behavior: a structural equations modelling approach. Ann. Reg. Sci. 2002, 36:279-297.
3. Bhat C.R. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. Transport. Res. Part B: Methodol. 2003, 37(9):837-855.
4. Cervero R., Sarmiento O.L., Jacoby E., Gomez L.F., Neiman A. Influences of built environment on walking and cycling: lessons from Bogota. Int. J. Sustainable Transport. 2009, 3:203-226.
5. Fernandez-Heredia A., Monzon A., Jara-Diaz S. Understanding cyclists' perceptions, keys for a successful bicycle promotion. Transp. Res. Part A 2014, 63:1-11.
6. Habib K.M.N., Tian Y., Zaman H. Modelling commuting mode choice with explicit consideration of carpooling in the choice set formation. Transportation 2011, 38:587-604.
7. Habib K.M.N., Kattan L., Islam M.T. Models of personal attitude towards transit service quality. J. Adv. Transport. 2011, 45:271-285.
8. Habib, K.M.N., Han, X., Lin, W.H. 2013. Joint modelling of propensity and distance for walk trip generation. Forthcoming in Transportmetrica: doi. doi:10.1080/23249935.2013.778356.
9. Handy S., Xing Y., Buehler T.J. Factors associated with bicycle ownership and use: a study of six small US cities. Transportation 2010, 37:967-985.
10. Heinen E., Wee B.V., Maat K. Commuting by bicycle: an overview of the literature. Transport Rev. 2010, 30(1):59-96.
11. Hunt J.D., Abraham J.E. Influence of bicycle use. Transportation 2007, 34:453-470.
12. Kotz, S., Balakrishnan, N., Johnson, N.L., 2000. Bivariate and Trivariate Normal Distributions. Chapter 46 in Continuous Multivariate Distributions, Vol. 1: Models and Applications, second ed., New York: Wiley, pp. 251-348.
13. Li Z., Wang W., Liu P., Ragland D.R. Physical environment influencing bicyclist's perception of comfort on separated and on-street bicycle facilities. Transp. Res. Part D 2012, 17:256-261.
14. Li Z., Wang W., Liu P., Ragland D.R. Bicycle commuting market analysis using attitudinal market analysis approach. Transp. Res. Part A 2013, 47:56-68.
15. Marten K. The bicycle as a feedering mode: experiences from three European countries. Transp. Res. Part D 2004, 9:281-294.
16. McCormack G., Giles-Corti B., Lange A., Smith T., Martin K., Pikora T.J. An update of recent evidence of the relationship between objective and self-report measures of the physical environment and physical activity behaviors. J. Sci. Med. Sport 2004, 7:81-92.
17. Moudon A.V., Lee C., Cheadle A.D., Collier C.W., Johnson D., Schmid T.L., Weather R.D. Cycling and the built environment, a US perspective. Transp. Res. Part D 2005, 10(3):245-261.
18. Park H., Lee Y.J., Shin H.C., Sohn K. Analyzing the timeframe from transition from leisure-cyclist to commuter-cyclist. Transportation 2011, 38:305-319.
19. Pucher J., Dill J., Handy S. Infrastructure, programs and policies to increase bicycling: an international review. Prev. Med. 2010, 50:S106-S125.
20. Sallis J.F., Conway T.L., Dillon L.I., Frank L.D., Adams M.A., Cain K.L., Saelens B.E. Environmental and demographic correlates of bicycling. Prev. Med. 2013, 57:456-460.
21. Tilahun N.Y., Levinson D.M., Krizek K.J. Trails, lanes, or traffic: valuing bicycle facilities with an adaptive stated preference survey. Transp. Res. Part A 2007, 41:287-301.
22. Titze S., Stronegger W.J., Janschitz S., Oja P. Association of built-environment, social-environment and personal factors with bicycling as a mode of transportation among Austrian city dwellers. Prev. Med. 2008, 47:252-259.
23. Train K. Discrete Choice Model with Simulation 2009, Cambridge University Press. Second ed.
24. Pinjari A., Eluru N., Bhat C.R., Pendyala R., Spissu E. Joint model of choice of residential neighborhood and bicycle ownership: Accounting for self-selection and unobserved heterogeneity. Transport. Res. Rec. J. Transp. Res. Board 2008, 2082:17-26.
25. Walker, J.L., 2001. Extended Discrete Choice Models: Integrated Framework, Flexible Error Structures, and Latent Variables. PhD Thesis, MIT.
26. Wigan R. Bicycle ownership use and exposure: participation and activity patterns in Melbourne. Transp. Res. Part A 1984, 18(5/6):379-398.
27. Xing Y., Handy S., Mokhtarian P. Factors associated with proportions and miles of bicycling for transportation and recreation in six small US cities. Transp. Res. Part D 2010, 15:73-81.