Abstract
Cycling in the United States has continued to increase, but relatively few empirical studies examine cycling behavior outside of commuting. A focus on commuting is potentially problematic as recreational cycling is the most common form of cycling in the US. In this study, cyclists who ride extensively on the roads primarily for recreation were surveyed. The results indicate that expert cyclists share many safety concerns with commuters (heavy traffic loads, high-speed traffic, and other hazardous conditions) but differ in other factors they consider during route planning. The data also suggest that computer applications do not meet expert cyclists’ route planning needs as they report a preference for getting route information from fellow cyclists or local bike shops and clubs. Therefore they seek advice from sources that are not always easily accessible. The development of successful technology to support bicycle route planning is an ongoing challenge. Bicycle route generation requires the incorporation of nuanced and dynamic information (e.g., traffic load by time of day). This study highlights a disconnect between the resources recreation cyclists use to plan new cycling routes and the resources available.
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References
Le, H.T.K., Buehler, R., Hankey, S.: Have walking and bicycling increased in the US? A 13-year longitudinal analysis of traffic counts from 13 metropolitan areas. Transp. Res. Part D 69, 329–345 (2019)
Winters, M., Davidson, G., Kao, D., Teschke, K.: Motivators and deterrents of bicycling: comparing influences on decisions to ride. Transportation 38, 153–168 (2011)
Xing, Y., Handy, S.L., Mokhtarian, P.L.: Factors associated with proportions and miles of bicycling for transportation and recreation in six small US cities. Transp. Res. Part D 15, 73–81 (2010)
Dill, J.: Bicycling for transportation and health: the role of infrastructure. J. Public Health Policy 30, S95–S110 (2009)
Rasmussen, M.G., Grontved, A., Blond, K., Overvad, K., Tjonneland, A., Jensen, M.K., Ostergaard, L.: Associations between recreational and commuter cycling, changes in cycling, and Type 2 Diabetes risk: a cohort study of Danish men and women. PLoS Med 13(7), e1002076 (2016)
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)
Buehler, R., Dill, J.: Bikeway networks: a review of effects on cycling. Transp. Rev. 36, 9–27 (2016)
Pucher, J., Buehler, R.: Why Canadians cycle more than Americans: a comparative analysis of bicycling trends and policies. Transp. Policy 13, 265–279 (2006)
Priedhorsky, R., Pitchford, D., Sen, S., Terveen, L.: Recommending routes in the context of bicycling: Algorithms, evaluation, and the value of personalization. In: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, New York, New York, US, pp. 979–988. Association for Computing Machinery (2012)
Aultman-Hall, L., Hall, F.L., Baetz, B.B.: Analysis of bicycle commuter routes using geographic information systems: implication for bicycle planning. Transp. Res. Rec. 1578, 102–110 (1996)
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)
Sener, I.N., Eluru, N., Bhat, C.R.: Who are bicyclists? Why and how much are they bicycling? Transp. Res. Rec. 2134, 63–72 (2009)
Reddy, S., Shilton, K., Denisov, G., Cenizal, C., Estrin, D., Srivastava, M.: Biketastic: sensing and mapping for better biking. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems, pp. 1817–1820. Association for Computing Machinery, New York (2010)
Google Maps. https://www.google.com/maps. Accessed 16 June 2020
Strava. https://www.strava.com. Accessed 16 June 2020
Garmin Connect. https://www.connect.garmin.com, last accessed 2020/6/16
Map My Ride. https://www.mapmyride.com. Accessed 16 June 2020
Ride with GPS. https://www.ridewithgps.com. Accessed 16 June 2020
Bikemap. https://www.bikemap.net. Accessed 16 June 2020
Komoot. https://www.komoot.com. Accessed 16 June 2020
Rainmaker, D.C.: Strava rolls out significant new routes feature (2020). https://www.dcrainmaker.com/2020/03/strava-rolls-out-significant-new-routes-feature.html. Accessed 16 June 2020
Still, M.L., Still, J.D.: Sharing the road: experienced cyclist and motorist knowledge and perceptions. In: Stanton, N. (ed.) AHFE 2019. AISC, vol. 964, pp. 291–300. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-20503-4_27
Sener, I.N., Eluru, N., Bhat, C.R.: An analysis of bicycle route choice preference in Texas. US. Transp. 36, 511–539 (2009)
Dey, B.K., Anowar, S., Eluru, N., Hatzopoulou, M.: Accommodating exogenous variable and decision rule heterogeneity in discrete choice models: application to bicyclist route choice. PLoS ONE 12(11), e020830 (2018)
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Still, M.L. (2020). Expert Cyclist Route Planning: Hazards, Preferences, and Information Sources. In: Stephanidis, C., Duffy, V.G., Streitz, N., Konomi, S., Krömker, H. (eds) HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments. HCII 2020. Lecture Notes in Computer Science(), vol 12429. Springer, Cham. https://doi.org/10.1007/978-3-030-59987-4_16
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