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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

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counting calories spatially optimizing cross us running routes

Counting Calories Spatially: Optimizing Cross-USRunning Routes

Pennsylvania State University

Capstone Project (GEOG 596B)

Andrew Furne

Advisor: Dr. Todd Bacastow

table of contents
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
background explorers to runners
Background: Explorers to Runners

To date, there have been 266 Runners to complete the

trek. In 2011 alone, there were 24 runners.

destination connect the fleets
Destination: Connect the Fleets

Second Fleet

Virginia Beach, VA

Third Fleet

San Diego, CA

research objectives
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?
treadmill calorie expenditure
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
treadmill calorie expenditure route analysis
Treadmill Calorie Expenditure:Route Analysis

Calorie Expenditure: 3,350,998 kcals

Length: 346,038 Meters

directional analysis gradient backlink and aspect
Directional Analysis (Gradient): Backlink and Aspect

D

N

LR

LL

NW

NE

R

L

W

E

Aspect

Backlink

UR

SW

UL

SE

U

S

directional analysis gradient incline and decline
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)

directional analysis gradient route analysis
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

directional analysis wind backlink and wind direction
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

directional analysis wind headwind and tailwind
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)

directional analysis wind route analysis
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

analysis factor temperature over 60 degrees mph to mpermin
Analysis Factor (Temperature):Over 60 degrees - MPH to MPerMin

Decrease Runner’s pace by 30 seconds per mile for each 5 degrees over 60

analysis factor temperature route analysis
Analysis Factor (Temperature):Route Analysis

Calorie Expenditure: 3,165,146 kcals

Length: 345,741.00 Meters

research objectives answered
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.
future study
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.