1 / 20

Applying Street Cleaning: Modeling to Represent Monitored Results

Applying Street Cleaning: Modeling to Represent Monitored Results. Caroline Burger, P.E. Earth Tech, Inc. Factors to Consider. 5-year Rainfall Files Winter Season Date Range Street Texture Street Cleaning Frequency Type of Street Cleaner Street Cleaner Productivity Parking Density

ira
Download Presentation

Applying Street Cleaning: Modeling to Represent Monitored Results

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Applying Street Cleaning:Modeling to Represent Monitored Results Caroline Burger, P.E.Earth Tech, Inc.

  2. Factors to Consider • 5-year Rainfall Files • Winter Season Date Range • Street Texture • Street Cleaning Frequency • Type of Street Cleaner • Street Cleaner Productivity • Parking Density • Parking Controls

  3. Duluth Minneapolis Green Bay Madison Milwaukee Rainfall Data Use 5-year rainfall files Use Winter Season Date Range Parameter files and Winter Season Information can be found on the USGS website

  4. Street Cleaning Frequency One Pass Every Week One Pass Every Two Weeks

  5. Type of Street Cleaner Mechanical Broom Regenerative Air Vacuum Assisted Vacuum Assisted & Regenerative Air Are Modeled the Same

  6. Street Cleaner Productivity Use “1. Coefficients based on street texture, parking density, and parking controls”

  7. Parking Densities None Medium Extensive None: No Parking Light: 1 or 2 cars per block Medium: Cars in approx. 50% of available parking Extensive: Cars in more than 90% of available parking

  8. Parking Controls Can the Street Cleaner Reach the Curb? If cars are not allowed to park on the street during cleaning times, or if streets are cleaned when cars are usually not on the streets, the answer is “yes”.

  9. Alleys Note: Alleys are considered streets in the SLU files. The model assumes street cleaning is applied to alleys. Therefore, if you do not want to model alleys as being cleaned, the alleys must be separated in the .dat file.

  10. Street Cleaning Efficiencies

  11. Street Cleaning Efficiencies Vacuum Assisted Street Cleaner Frequency: 1 / week

  12. Street Cleaning Efficiencies Medium Density Residential No Alleys Land Use

  13. Typical Community-Wide Results • Mechanical Broom = 3 – 6 % • Vacuum Assisted = 5 – 10 % • Street Cleaning Program • Downtown cleaned 1 / week • Remainder of city cleaned 1 / 2 weeks or 1 / month • Parking densities and parking controls varied based on land use

  14. “Spring Cleaning” • Aggressive Spring Cleaning Schedule • Once per week for at least 6 weeks • Schedule returns to normal after “Spring Clean-Up” • Start as soon as snow melts • Clean Entire community • Vacuum Assisted Cleaner • Average reduction 12 - 16 % community-wide

  15. Questions?

  16. Applying Street Cleaning Street Cleaning Form

  17. Applying Street Cleaning Winter Season Date Range Activates Calibrated Coefficients

  18. Applying Street Cleaning Street Source Area Only Output

  19. Applying Street Cleaning Downtown SLU File with Street Cleaning

  20. Applying Street Cleaning Downtown SLU File with Street Cleaning - Output

More Related