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Location Analysis for Outdoor Recycling Bin
PlacementPrepared for:
Municipal Solid Waste (MSW) and Recycling in
the U.S.• 26% of MSW recycled in 2011 • MSW taken to landfills decreased
from 89% to 54% in the last 30 years
• 45% of MSW that is recyclable is not recycled
Recycling
• Reduces greenhouse gas emissions• Reduces other pollutants• Reduces the need for landfills• Conserves resources• Produces economic benefit
Recycling and Texas State University
• Emerging Research University• over 35,000 students in 2013
• 44 outdoor recycling bins on campus• 8 purchased that have not been
placed
Objectives
• Short Term: Aid Texas State University Waste and Management by identifying potential locations for outdoor recycling bins to maximize the collection of recyclable materials.
Assist with determining traffic flow between campus buildings during different time periods of the day.
• Long Term: Texas State University Waste and Management will be able to maximize collection of recyclable materials, gain more outdoor recycling bins, and use and maintain a GIS that can assist with the growth and expansion of the recycling program.
Scope
Final Recommendations by 2 May 2014
Literature Review
• Study One: Asturias, Spain, by B. Adenso-Días and P.L. Gonzáles-Torre (2005)
Objective: Determine if walking distanceto bins affects recycling habits.
Process: Survey sample and Proximity
Results: The citizens that have recycling bins in close proximity are more willing to dispose of recyclable materials more frequently and separate more often.
Literature Review
• Study Two: Australia, report by the Department of Environment and Conservation (2005)
Objective: Determine where and how to place outdoor recycle bins.
Process: Traffic Flow and Proximity
Results: People will travel up to 12 meters (approximately 40 feet) to dispose of materials. Recycling bins and garbage bins should be clustered in areas of high traffic flow to negate contamination between bins.
Literature Review
• Study Three: Urban Modeling, by M. Batty (2009)
Objective: Determine which factors cause the highest frequency of traffic flow between buildings and then determine their respective weight.
Process: Spatial Interaction, Urban Modeling, and Urban Dynamics
Results: Distribution of activity occurs according to urban gravity. Based on this study we have decided to model Texas State University as a small city.
DataData Source
Campus Base Map – sidewalks, buildings, current outdoor recycling bins
Bob Stafford, Facilities Planning, Design, and Construction Department at Texas State University
Foot Traffic Network To be created by Dynamic Geo Solutions
Campus Building Populations Geography Department W Drive
Outdoor Recycle Containers Hardcopy Map – locations of new bins
Mario Garza, Recycling and Waste Management Department at Texas State University
GPS Data for New Outdoor Recycling Bins
To be created by Dynamic Geo Solutions
Software
ArcMap
Network Analyst Extension
Methodology1. Create line map of walking
routes2. Plot points of origin and
destination3. Analyze network and
identify frequent routes using campus population data
4. Assign weights to routes most frequently used
5. Identify areas of interest by relating weighted routes to location of current bins
6. Verify results through field work
BudgetData Collection (128 hours)$24.50/hour
$3,136.00
Pre-Processing Data and Manipulation (128 hours)$24.50/hour
$3,136.00
Data Analysis and Interpretation (172 hours)$28.00/hour
$4,214.00
System Management (98 hours)$28.00/hour
$2,768.50
Website Development (24 hours)$24.00/hour
$600.00
Software Licensing $1500.00
Total $15,354.50
Timeline
Wk 1
Wk 2
Wk 3
Wk 4
Wk 5
Wk6
Wk 7
Wk 8
Wk 9
Wk 10
Wk 11
Wk 12
Wk 13
Wk 14
Jan27
Feb 3
Feb 10
Feb 17
Feb 24
Mar 3
Mar 10
Mar 17
Mar 24
Mar 31
Apr 7
Apr 14
Apr 21
Apr 28
Data Collection
Pre-Processing
Data Analysis
Interpretation
Final Deliverables
• Final Report• Professional Poster
– Map of foot traffic and recycling bins– Map of potential areas for future bins
• Website• CD containing:
– Metadata– Final Report– Poster– PowerPoint Presentation
• Map of high foot traffic routes• Map of high to low priority areas• Map of most suitable locations for future bins
Conclusion
Fall 2012 Fall 201328,000
30,000
32,000
34,000
36,000
38,000
Undergraduate Student Enrollment
• Statistics• Network Analysis• Field Research