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