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Bicycle Trip Assignment:

Bicycle Trip Assignment:. Energy Consumption as Travel Cost Variable. Olena Tokmylenko MCRP candidate 2013 Clemson University. Source: Los Angeles Bicycle Plan . What we think people experience. What people actually experience . Model Structure. gender. age. athleticism. slope.

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Bicycle Trip Assignment:

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  1. Bicycle Trip Assignment: Energy Consumption as Travel Cost Variable OlenaTokmylenko MCRP candidate 2013 Clemson University

  2. Source: Los Angeles Bicycle Plan

  3. What we think people experience What people actually experience

  4. Model Structure gender age athleticism slope riders mass wind resistance Physiological conditions etc. distance speed power

  5. Level of proficiency

  6. Wingate Anaerobic Test Classification of Peak Power and Anaerobic Capacity for Female and Male NCAA Division I Collegiate Athletes

  7. Human Power • Aerobic Capacity vs Anaerobic capacity • Functional Threshold Power • Critical Power

  8. Bicycling Power Where

  9. Characteristics of five types of bicycle and rider Source: “Bicycling Science” David G. Wilson

  10. Constant parameters Metric Measurement System U.S. Measurement System

  11. Bicycling Power

  12. Types of bicyclists Utilitarian Recreational

  13. Model Assumptions • Utilitarian cyclists • Different level of skills with a stress to average • Decision is made and origins and destinations are known

  14. Model Structure gender age athleticism slope riders mass wind resistance Physiological conditions etc. distance speed power

  15. Conclusion • One of the most important factor that affect bicycling power expenditure can be addressed by planners while designing infrastructure • The results of the model can minimize the cost of data collection and enrich behavior models • The effective planning based on travel time and energy expenditure can provide better experience to the cyclists

  16. Next Steps • Propose classes of cyclist based on their power level • Apply slope-speed-power relationship to the road network to determine travel time • Measure energy expenditure of the riders • Test the model on real city network

  17. Questions? For questions or propositions contact : OlenaTokmylenko otokmyl@clemson.edu

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