1 / 29

Counting Calories Spatially: Optimizing Cross-US Running Routes

Counting Calories Spatially: Optimizing Cross-US Running Routes. Pennsylvania State University Capstone Project (GEOG 596B) Andrew Furne Advisor: Dr. Todd Bacastow. Table of Contents. Background: Explorers to Runners Destination: Connect the Fleets Study Factors Research Objectives

talon
Download Presentation

Counting Calories Spatially: Optimizing Cross-US Running Routes

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Counting Calories Spatially: Optimizing Cross-USRunning Routes Pennsylvania State University Capstone Project (GEOG 596B) Andrew Furne Advisor: Dr. Todd Bacastow

  2. Table of Contents • Background: Explorers to Runners • Destination: Connect the Fleets • Study Factors • Research Objectives • Google Maps • Treadmill Calorie Expenditure • Directional Analysis (Gradient) • Directional Analysis (Wind) • Analysis Factor (Temperature) • Final Results: Route Comparison • Research Objectives: Answered • Future Study

  3. Background: Explorers to Runners To date, there have been 266 Runners to complete the trek. In 2011 alone, there were 24 runners.

  4. Destination: Connect the Fleets Second Fleet Virginia Beach, VA Third Fleet San Diego, CA

  5. Study Factor:Fuel / Food Efficiency

  6. Study Factor:Gradient (Uphill and Downhill)

  7. Study Factor: Wind (Headwinds / Tailwinds)

  8. Study Factor: Wind (Headwinds / Tailwinds)

  9. Study Factors: Temperature (Internal / External)

  10. Research Objectives • What is the optimal route, based on energy (kilocalories) consumption, from San Diego to Virginia Beach? • Is the shortest walking route determined by Google Maps more energy efficient? • Does the direction of travel across the United States (East to West / West to East) make a difference? • Is the World Record running route across the United States more efficient than the determined route?

  11. Google Maps:San Diego to Virginia Beach

  12. Treadmill Calorie Expenditure • Convert Units. • 7.5 mph = 201 meters/minute • 160lbs = 72.7273 kg • 30 meters = .1493 minutes • Oxygen Used (mL/kg/min) • (.2 x Speed) + (.9 x Speed x Slope) + 3.5 • Calories/Minute • mL/kg/min x Weight x 3.5 /200 • Calorie Expenditure per 30 meter cell • Calories/Minute x Time in Minutes

  13. Treadmill Calorie Expenditure:Route Analysis Calorie Expenditure: 3,350,998 kcals Length: 346,038 Meters

  14. Directional Analysis (Gradient): Backlink and Aspect D N LR LL NW NE R L W E Aspect Backlink UR SW UL SE U S

  15. Directional Analysis (Gradient): Incline and Decline 30 3 20 2 40 4 WEST 1 EAST 10 50 5 Backlink Aspect 80 8 60 6 70 7 Incline (Value 11) Decline (Value 15)

  16. Directional Analysis (Gradient): Decline Modification

  17. Directional Analysis (Gradient)Route Analysis East to West - Calorie Expenditure: 3,189,252 kcals Length: 349,865 Meters West to East - Calorie Expenditure: 3,156,370 kcals Length: 345,715 Meters

  18. Directional Analysis (Wind):Backlink and Wind Direction D N NNW NNE LR LL NW NE WNW ENE R L W E Backlink WSW ESE UR UL SW SE SSE U SSW S

  19. Directional Analysis (Wind): Headwind and Tailwind 30 3 3 3 Headwind (Value 55) 20 2 4 40 EAST WEST 1 5 1 5 10 50 1 5 6 8 80 60 Tailwind (Value 51) 7 7 7 70 Wind Effect Headwinds = .95 (+5%) Tailwinds = 1.08 (-8%) < 10 MPH = 1.00 (No Effect)

  20. Directional Analysis (Wind):Route Analysis East to West - Calorie Expenditure: 3,134,995 kcals Length: 344,611 Meters West to East - Calorie Expenditure: 3,080,250kcals Length: 345,206 Meters

  21. Analysis Factor (Temperature):Month of August

  22. Analysis Factor (Temperature):Over 60 degrees - MPH to MPerMin Decrease Runner’s pace by 30 seconds per mile for each 5 degrees over 60

  23. Analysis Factor (Temperature):Pace Modification for 1 MPH August

  24. Analysis Factor (Temperature):Treadmill Equation Modified

  25. Analysis Factor (Temperature):Route Analysis Calorie Expenditure: 3,165,146 kcals Length: 345,741.00 Meters

  26. Final Results: Route Comparison

  27. Research Objectives: Answered • What is the optimal route, based on energy (kilocalories) consumption, from San Diego, California to Virginia Beach, Virginia? • The optimal route across the U.S. could not be determined due to unreasonable processing time. • Is the shortest walking route determined by Google Maps from San Diego, CA to Virginia Beach, VA more energy efficient, than the optimal route? • For the test area, the determined route with the shortest distance did not have the least calorie expenditure. Therefore, the shortest distance is not necessarily the most energy efficient. • Does the direction of travel across the United States (East to West or West to East) make a difference? • For the test area, the directional factors of gradient and wind for the month of March identified West to East as the optimal direction of travel. • Is the World Record running route across the United States more efficient than the determined route? • As discussed, this objective was eliminated due to the difficulty and time required to capture the route accurately and acquire the data.

  28. Future Study • Data. • More accurate data. • Criteria. • Gather more accurate statistics. • Test on local areas • Crowd-Sourcing • Model. • Automate the analysis. • Web Service. • Publish the model as a service.

  29. Questions?

More Related