Outdoor Recycling Bin Placement Analysis and Recommendations
Analyzing campus foot traffic to determine strategic outdoor recycling bin locations. Progress includes creating walking route maps, analyzing population data, and assigning weights to frequented routes. Final recommendations due by May 2, 2014.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Location Analysis for Outdoor Recycling Bin Placement Prepared for:
Purpose Analyze campus foot traffic Determine optimal locations for outdoor recycling bins
Scope Final Recommendations by 2 May 2014
Considerations Data constraints: 23 buildings within study area 5 consecutive time periods
Progress 1. Create line map of walking routes 2. Plot points of origin and destination 3. Analyze network and identify frequent routes using campus population data
Subsequent Process 1. Assign weights to routes most frequently used 2. Identify areas of additional interest such as food courts and bus stops and apply additional weight to the routes they intersect 3. Verify foot traffic analysis through field work 4. Analyze effectiveness of existing bins and make recommendations for future bin placement
Appraisal No major problems Final recommendations submitted by 2 May 2014
Timeline Wk 1 Jan 27 Wk 2 Feb Wk 3 Feb 10 Wk 4 Feb 17 Wk 5 Feb 24 Wk 6 Mar Wk 7 Mar 10 Wk 8 Mar 17 Wk 9 Mar 24 Wk 10 Mar 31 Wk 11 Apr Wk 12 Apr 14 Wk 13 Apr 21 Wk 14 Apr 28 3 3 7 Data Collection Pre-Processing Data Analysis Interpretation
