Understanding cyclists' perceptions, keys for a successful bicycle promotion

Transportation Research Part A: Policy and Practice

Volumn 63, Issue , 2014, Pages 1-11

  Fernández Heredia, Álvaro ^a   Monzón, Andrés ^b   Jara Díaz, Sergio ^c  

^a UNIVERSIDAD EUROPEA DE MADRID   (Spain)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^c UNIVERSITY OF CHILE   (Chile)

Author keywords

Cycling mobility; Cyclists' perceptions; Latent variables models

Indexed keywords

PUBLIC POLICY; TRANSPORTATION;

ATTITUDES AND PERCEPTIONS; CONFIRMATORY FACTOR ANALYSIS; LATENT VARIABLE; PSYCHOSOCIAL FACTORS; STRUCTURAL EQUATIONS MODELING;

BICYCLES;

CYCLE TRANSPORT; FACTOR ANALYSIS; MOBILITY; NUMERICAL MODEL; PERCEPTION;

EID: 84896763248     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2014.02.013     Document Type: Article

References (64)

1. Ajzen I. The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 1991, 50:179-211.
2. Akar, G., Clifton, K.J., 2009. The influence of individual perceptions and bicycle infrastructure on the decision to bike. In: Proceedings of Transport Research Board Annual Meeting, 2009, Washington, DC.
3. Allen-Munley C., Daniel J., Dhar S. Logistic model for rating urban bicycle route safety. Transp. Res. Rec.: J. Transp. Res. Board 2004, 1878:107-115.
4. Badland H., Schofield G. Understanding the relationships between private automobile availability, overall physical activity, and travel behavior in adults. Transportation 2008, 35:363-374.
5. Baltes M. Factors influencing nondiscretionary work trips by bicycle determined from 1990 U.S. census metropolitan statistical area data. Transp. Res. Rec.: J. Transp. Res. Board 1996, 1538:96-101.
6. Barnes G., Krizek K. Estimating bicycling demand. Transp. Res. Rec.: J. Transp. Res. Board 2005, 1939:45-51.
7. Ben-Akiva M., Mcfadden D., Train K., Walker J., Bhat C., Bierlaire M., Bolduc D., Boersch-Supan A., Brownstone D., Bunch D.S., Daly A., De Palma A., Gopinath D., Karlstrom A., Munizaga M.A. Hybrid choice models: progress and challenges. Mark. Lett. 2002, 13:163-175.
8. Bergström A., Magnusson R. Potential of transferring car trips to bicycle during winter. Transp. Res. Part A: Policy Pract. 2003, 37:649-666.
9. Bollen K.A. Structural Equations with Latent Variables 1989, John Willey and Sons, New York.
10. Börjesson M., Eliasson J. The value of time and external benefits in bicycle appraisal. Transp. Res. Part A: Policy Pract. 2012, 46:673-683.
11. Broach J., Dill J., Gliebe J. Where do cyclists ride? A route choice model developed with revealed preference GPS data. Transp. Res. Part A: Policy Pract. 2012, 46:1730-1740.
12. Carré J.R. Mobilité Urbaine Et Déplacements Non motorisés 1999, Institut National de Recherche sur les transports et leur Sécurité, Francia.
13. Cervero R., Duncan M. Walking, bicycling, and urban landscapes: evidence from the San Francisco Bay Area. Am. J. Publ. Health 2003, 93:1478-1483.
14. Cour Lund, B., 2009. Driver behaviour towards circulating cyclists at roundabouts A vehicle simulator study with concurrent collection of eye movements. In: Proceedings of Transport Research Board Annual Meeting, 2009, Washington, DC.
15. de Bruijn G., Kremers S.P.J., Schaalma H., van Mechelen W., Brug J. Determinants of adolescent bicycle use for transportation and snacking behavior. Prev. Med. 2005, 40:658-667.
16. Dill J., Voros K. Factors affecting bicycling demand: initial survey findings from the Portland, Oregon, Region. Transp. Res. Rec.: J. Transp. Res. Board 2007, 2031:9-17.
17. Dixon, R., Turner, R., 2007. Electronic vs. Conventional Surveys. Handbook of Research on Electronic Surveys and Measurements. Idea Group Inc (IGI), pp. 105-111.
18. Eash R. Destination and mode choice models for non-motorized travel. Transp. Res. Rec.: J. Transp. Res. Board 1999, 1674:1-8.
19. Ehrgott M., Wang J.Y.T., Raith A., van Houtte C. A bi-objective cyclist route choice model. Transp. Res. Part A: Policy Pract. 2012, 46:652-663.
20. Eriksson L., Forward S.E. Is the intention to travel in a pro-environmental manner and the intention to use the car determined by different factors?. Transp. Res. Part D: Transp. Environ. 2011, 16:372-376.
21. Ezzati M., Lopez A.D., Rodgers A., Murray C.J.L. Global and Regional Burden of Diseases Attributable to Selected Major Risk Factor 2004, World Health Organization.
22. Fujii S., Gärling T. Application of attitude theory for improved predictive accuracy of stated preference methods in travel demand analysis. Transp. Res. Part A: Policy Pract. 2003, 37:389-402.
23. Garrard J., Rose G., Lo S.K. Promoting transportation cycling for women: the role of bicycle infrastructure. Prev. Med. 2008, 46:55-59.
24. Gatersleben B., Appleton K.M. Contemplating cycling to work: attitudes and perceptions in different stages of change. Transp. Res. Part A: Policy Pract. 2007, 41(4):302-312.
25. Goldberguer A.S., Duncan O.D. Structural Equation Models in the Social Sciences 1973, Academic Press, New York.
26. Golob T.F. Structural equation modeling for travel behavior research. Transp. Res. Part B: Methodol. 2003, 37:1-25.
27. Golob T.F. Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project. Transp. Res. Part A: Policy Pract. 2001, 35:495-514.
28. Heinen E., van Wee B., Maat K. Commuting by bicycle: an overview of the literature. Transp. Rev. 2010, 30:59-96.
29. Hopkinson P., Wardman M. Evaluating the demand for new cycle facilities. Transp. Policy 1996, 3:241-249.
30. Hunt J., Abraham J. Influences on bicycle use. Transportation 2007, 34:453-470.
31. Hyodo T., Suzuki N., Takahashi K. Modeling of bicycle route and destination choice behavior for bicycle road network plan. Transp. Res. Rec.: J. Transp. Res. Board 2000, 1705:70-76.
32. Jöreskog K.G. A general approach to confirmatory maximum likelihood factor analysis. Psychometrika 1969, 34:183-202.
33. Kemperman, A., Timmermans, H., 2009. Influences of the built environment on walking and cycling of latent segments of the aging population. In: Proceedings of Transport Research Board Annual Meeting, 2009, Washington, DC.
34. Krizek K.J. Economic benefits of bicycling and bicycle facilities: an interpretive review and proposed methods. Essays on Transportation Economics 2007, 219-248. Physica-Verlag, Springer, Heidelberg.
35. Li Z., Wang W., Yang C., Ragland D.R. Bicycle commuting market analysis using attitudinal market segmentation approach. Transp. Res. Part A: Policy Pract. 2013, 47:56-68.
36. McClintock H., Cleary J. Cycle facilities and cyclists' safety. Transp. Policy 1996, 3:67-77.
37. Menghini G., Carrasco N., Schüssler N., Axhausen K.W. Route choice of cyclists in Zurich. Transp. Res. Part A: Policy Pract. 2010, 44:754-765.
38. Molino, J.A., Emo, A.K., 2009. Pedestrian and bicyclist exposure to risk: a methodology for estimation in an urban environment. In: Proceedings of Transport Research Board Annual Meeting, 2009, Washington, DC.
39. 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: Transp. Environ. 2005, 10:245-261.
40. Nankervis M. The effect of weather and climate on bicycle commuting. Transp. Res. Part A: Policy Pract. 1999, 33:417-431.
41. Natarajan, S., Demetsky, M.J., 2009. Selection and evaluation of bicycle and pedestrian safety projects. In: Proceedings of Transport Research Board Annual Meeting, 2009, Washington, DC.
42. Nkurunziza A., Maarseveen M.v., Zuidgeet M. Cycling potential demand and travel behaviour change in Dar-es-Salaam, Tanzania. Habitat Int. 2010, 36(1):78-84.
43. Noland R.B., Kunreuther H. Short-run and long-run policies for increasing bicycle transportation for daily commuter trips. Transp. Policy 1995, 2:67-79.
44. Noland R., Quddus M. Analysis of pedestrian and bicycle casualties with regional panel data. Transp. Res. Rec.: J. Transp. Res. Board 2004, 1897:28-33.
45. OECD, 2004. National policies to promote cycling. Organisation for economic cooperation and development. In: European Conference of the Ministers of Transport, Paris, France.
46. Ortúzar J.d.D., Iacobelli A., Valeze C. Estimating demand for a cycle-way network. Transp. Res. Part A 2000, 34:353-373.
47. Parki J., Wardman M., Page M. Estimation of the determinants of bicycle mode share for the journey to work using census data. Transportation 2008, 35:93-109.
48. Pendleton L.H., Shonkwiler J.S. Valuing bundled attributes: a latent characteristics approach. Land Econ. 2001, 77:118-129.
49. Pinjari A., Eluru N., Bhat C., Pendyala R., Spissu E. Joint model of choice of residential neighborhood and bicycle ownership: accounting for self-selection and unobserved heterogeneity. Transp. Res. Rec.: J. Transp. Res. Board 2008, 2082:17-26.
50. Pucher J., Buehler R. Making cycling irresistible: lessons from The Netherlands, Denmark and Germany. Transp. Rev. 2008, 28:495-528.
51. Pucher J., Dill J., Handy S. Infrastructure, programs, and policies to increase bicycling: an international review. Prev. Med. 2010, 50:106-125.
52. Rietveld P., Daniel V. Determinants of bicycle use: do municipal policies matter?. Transp. Res. Part A: Policy Pract. 2004, 38:531-550.
53. Rondinella, G., Fernandez-Heredia, A., Monzón, A., 2012. Analysis of perceptions of utilitarian cycling by level of user experience. In: Proceedings of Transport Research Board Annual Meeting, 2012, Washington, DC.
54. Saelens B.E., Sallis J.F., Frank L.D. Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures. Ann. Behav. Med. 2003, 25:80.
55. Shiva Nagendra S.M., Khare M. Principal component analysis of urban traffic characteristics and meteorological data. Transp. Res. Part D: Transp. Environ. 2003, 8:285-297.
56. Spearman C. General intelligence, objectively determined and measured. Am. J. Psychol. 1904, 15:201-293.
57. Stinson M., Bhat C. Commuter bicyclist route choice: analysis using a stated preference survey. Transp. Res. Rec.: J. Transp. Res. Board 2003, 1828:107-115.
58. Taylor D., Mahmassani H. Analysis of stated preferences for intermodal bicycle-transit interfaces. Transp. Res. Rec.: J. Transp. Res. Board 1996, 1556:86-95.
59. 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: Policy Pract. 2007, 41:287-301.
60. 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.
61. Vredin Johansson M., Heldt T., Johansson P. The effects of attitudes and personality traits on mode choice. Transp. Res. Part A: Policy Pract. 2006, 40:507-525.
62. Wardman M., Tight M., Page M. Factors influencing the propensity to cycle to work. Transp. Res. Part A: Policy Pract. 2007, 41:339-350.
63. World Health Organization Global Health Risks: Mortality and Burden of Disease Attributable to Selected Major Risks 2009, World Health Organization.
64. Zahran S., Brody S.D., Maghelal P., Prelog A., Lacy M. Cycling and walking: explaining the spatial distribution of healthy modes of transportation in the United States. Transp. Res. Part D: Transp. Environ. 2008, 13(7):462-470.