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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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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