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Counting Calories Spatially: Optimizing Cross-US Counting Calories Spatially: Optimizing Cross-US

Counting Calories Spatially: Optimizing Cross-US - PowerPoint Presentation

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Counting Calories Spatially: Optimizing Cross-US - PPT Presentation

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 ID: 669700

route analysis east west analysis route west east calorie wind meters expenditure temperature factor directional length gradient modified virginia

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Slide1

Counting Calories Spatially: Optimizing Cross-USRunning Routes

Pennsylvania State University Capstone Project (GEOG 596B)Andrew FurneAdvisor: Dr. Todd BacastowSlide2

Table of Contents

Background: Explorers to RunnersDestination: Connect the FleetsStudy FactorsResearch ObjectivesGoogle MapsTreadmill Calorie ExpenditureDirectional Analysis (Gradient)Directional Analysis (Wind)

Analysis Factor (Temperature)

Final Results: Route Comparison

Research Objectives: Answered

Future StudySlide3

Background: Explorers to Runners

To date, there have been 266 Runners to complete the

t

rek. In 2011 alone, there were 24 runners.Slide4

Destination: Connect the Fleets

Third Fleet

San Diego, CA

Second Fleet

Virginia Beach, VASlide5

Study Factor:Fuel / Food EfficiencySlide6

Study Factor:Gradient (Uphill and Downhill)Slide7

Study Factor: Wind (Headwinds / Tailwinds)Slide8

Study Factor: Wind (Headwinds / Tailwinds)Slide9

Study Factors: Temperature (Internal / External)Slide10

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?Slide11

Google Maps:San Diego to Virginia BeachSlide12

Treadmill Calorie Expenditure

Convert Units.7.5 mph = 201 meters/minute160lbs = 72.7273 kg30 meters = .1493 minutesOxygen Used (mL/kg/min)(.2 x Speed) + (.9 x Speed x Slope) + 3.5Calories/MinutemL/kg/min x Weight x 3.5 /200

Calorie Expenditure per 30 meter cell

Calories/Minute x Time in MinutesSlide13

Treadmill Calorie Expenditure:Route Analysis

Calorie Expenditure: 3,350,998 kcals

Length: 346,038 MetersSlide14

Directional Analysis (Gradient): Backlink and Aspect

N

NE

E

SE

S

NW

W

SW

D

LL

L

UL

U

LR

R

UR

Backlink

AspectSlide15

Directional Analysis (Gradient): Incline and Decline

30

40

50

60

70

20

10

80

3

4

5

6

7

2

1

8

Incline (Value 11)

Decline (Value 15)

Backlink

Aspect

EAST

WESTSlide16

Directional Analysis (Gradient): Decline Modification

Decline

Slope

Incline

.57

10%

1.70

.51

20%

2.62

.71

30%

3.68

.83

35%

4.24

1

40%

4.95

1.2

45%

5.57Slide17

Directional Analysis (Gradient)Route Analysis

West to East -

Calorie Expenditure: 3,156,370 kcals

Length: 345,715 Meters

East to West -

Calorie Expenditure: 3,189,252 kcals

Length: 349,865 MetersSlide18

Directional Analysis (Wind):Backlink and Wind Direction

N

NNE

NE

ENE

E

ESE

SE

SSE

S

NNW

NW

WNW

W

WSW

SW

SSW

D

LL

L

UL

U

LR

R

UR

BacklinkSlide19

Directional Analysis (Wind): Headwind and Tailwind

3

3

4

5

5

5

6

7

7

3

2

1

1

1

8

7

30

40

50

60

70

20

10

80

Headwind (Value

5

5)

Tailwind (Value 5

1

)

WEST

EAST

Wind Effect

Headwinds = .95 (+5%)

Tailwinds = 1.08 (-8%)

< 10 MPH = 1.00 (No Effect)Slide20

Directional Analysis (Wind):Route Analysis

West to East -

Calorie Expenditure: 3,080,250kcals

Length: 345,206 Meters

East to West -

Calorie Expenditure: 3,134,995 kcals

Length: 344,611 MetersSlide21

Analysis Factor (Temperature):Month of AugustSlide22

Analysis Factor (Temperature):Over 60 degrees - MPH to MPerMin

Temperature (F)

Meters per Minute

Temperature (F)

Meters per Minute

60

26.8

95

20.56

65

25.93

100

19.67

70

25.03

105

18.78

75

24.14

110

17.88

80

23.25

115

16.99

85

22.35

120

16.09

90

21.46

125

15.20

Decrease Runner’s pace by 30 seconds per mile for each 5 degrees over 60Slide23

Analysis Factor (Temperature):Pace Modification for 1 MPH

AugustSlide24

Analysis Factor (Temperature):Treadmill Equation Modified Slide25

Analysis Factor (Temperature):Route Analysis

Calorie Expenditure: 3,165,146 kcals

Length: 345,741.00 MetersSlide26

Final Results: Route Comparison

Route Analysis

Calorie Expenditure

Length in Meters

Treadmill Only

West to East / East to West

3,350,998

346,038

Incline and Decline Modified West to East

3,156,370

345,715

Incline and Decline Modified East to West

3,189,252

349,865

Wind Modified

West to East

3,080,250

345,206

Wind Modified

East to West

3,134,995

344,611

Temperature Modified

West to East

3,165,146

345,741Slide27

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.Slide28

Future StudyData.

More accurate data.Criteria.Gather more accurate statistics.Test on local areasCrowd-SourcingModel.Automate the analysis.Web Service.

Publish the model as a service.Slide29

Questions?