journey to work and carbon emissions kaitie fernandez maryville college budhendra bhaduri...
DESCRIPTION
3Managed by UT-Battelle for the U.S. Department of Energy Background Homes Schools Gas stations (regional) Shop Banks (state) Work Cleaners Gas stations (regional) Energy challenges – Regional to national vs. local Useful insight – Characterizing interactions between humans, energy, and transportation networks Success of strategies – Understanding complexity and consequences of proposed systemsTRANSCRIPT
Journey to Work and Carbon Emissions
Kaitie FernandezMaryville College
Budhendra BhaduriComputational Sciences and Engineering DivisionAugust 2009
2 Managed by UT-Battellefor the U.S. Department of Energy
Overview• Background
• Explanation of Problem
• Methodology Used
• Calculated Results
• Concluding Analysis
• Acknowledgments
3 Managed by UT-Battellefor the U.S. Department of Energy
Background
HomesSchools
Gas stations(regional)
Shop
Banks(state)
Work
Cleaners
Gas stations(regional)
• Energy challenges– Regional to national vs.
local
• Useful insight– Characterizing interactions
between humans, energy, and transportation networks
• Success of strategies– Understanding complexity and
consequences of proposed systems
4 Managed by UT-Battellefor the U.S. Department of Energy
Managing and reducing our carbon footprint• Modeling and simulation
– LandScan USA– Behavior observation over
large spatial and temporal scales
5 Managed by UT-Battellefor the U.S. Department of Energy
Project Objectives
• Prove or disprove proposed hypothesis– 80% of Americans work in the same county they live in or an
adjacent county
• Determine the number of links and nodes– By county and surrounding counties
• Observe all if any patterns between workers and links and nodes
• Relate findings to carbon emissions
6 Managed by UT-Battellefor the U.S. Department of Energy
Methods• ArcMap
– Model Builder– Writing scripts
• LandScan USA– Worker commute
model– Links and nodes
model
• Microsoft Access– Managing data– Queries
7 Managed by UT-Battellefor the U.S. Department of Energy
Journey to WorkPercent Total
<49
50 - 74
75 - 84
85 - 90
91 - 94
95 - 97
98 - 100
Journey to work results
8 Managed by UT-Battellefor the U.S. Department of Energy
Links by County and Adjacent CountiesNumber of Links
<35000
35001 - 75000
75001 - 115000
115001 - 155000
155001 - 195000
195001 - 135000
>135000
Nodes by County and Adjacent CountiesNumber of Nodes
<25000
25001 - 55000
55001 - 85000
85001 - 115000
115001 - 145000
145001 - 175000
>175000
9 Managed by UT-Battellefor the U.S. Department of Energy
Graphical data representation
Percent of Workers100959085807570656055504540
Num
ber o
f Lin
ks
1,300,000
1,200,000
1,100,000
1,000,000
900,000
800,000
700,000
600,000
500,000
400,000
300,000
200,000
100,000
0
• Pike County, Pennsylvania
– 67%– 42,103 links
• San Jacinto County, Texas
– 69%– 48,103 links
• Franklin County, Indiana– 75%– 52,509 links
10 Managed by UT-Battellefor the U.S. Department of Energy
Review
• Reason for Study
• Methods
• Results
11 Managed by UT-Battellefor the U.S. Department of Energy
Questions?
12 Managed by UT-Battellefor the U.S. Department of Energy
Acknowledgements
• Budhendra Bhaduri
• Marie Urban
• Amy Rose
• Cheng Liu
13 Managed by UT-Battellefor the U.S. Department of Energy
• http://www.apta.com/links/state_local/tx.cfm• Remember for looking up more about carbon emissions
tomorrow!