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CITY OF MINNEAPOLIS Proactive Sidewalk Inspection Snow & Ice Transportation & Public Works Committee June 11, 2019 1 Outline Background Public Outreach/Conversation Inspections Methodology 2018-19 Pilot


  1. CITY OF MINNEAPOLIS Proactive Sidewalk Inspection Snow & Ice Transportation & Public Works Committee June 11, 2019 1

  2. Outline • Background • Public Outreach/Conversation • Inspections • Methodology • 2018-19 Pilot Project Data • Next Steps 2

  3. Background • 2017 Pilot to shorten inspection workflow • Pedestrian and Bicycle Winter Maintenance Study • Proactive sidewalk inspection pilot project • 311/PW Internal Audit Star Tribune 2019 3

  4. Public Outreach/Conversation • Major public outreach in November 2018 • Proactive inspection generated 70 media requests • Series of other public outreach activities November – March Multi-cultural radio conversations, videos, flyers, social media, city website 4

  5. Inspections 5

  6. Methodology • Divided city into 4 quadrants by existing boundaries • Grids within each quadrant are part of a national system created for multi-agency use. • Randomly inspected grids within each quadrant

  7. Inspections Inspections • Grids randomly 1) Nov 30 2) Dec 4 selected 3) Dec 31 4) Jan 29 5) Feb 14 • Proactive Inspection 6) Feb 28 7) March 6 included 35,386 parcels • 130,000 Parcels in Minneapolis

  8. Proactive Sidewalk Inspection Process

  9. 2018-19 Pilot project data 9

  10. Total Compliance Rate 1,323 - 4% 34,063 558 765 96% 35,386 42% 58% Properties inspected Compliant properties Cleared after NOV Notice of Violation (NOV) Cleared by contractor

  11. Compliance by Quadrant B C D 8% A 2% 3% 5% 92% 98% 97% 95% A B C D

  12. Compliance by Inspection Inspection 1: November 30 (Avg. 89%) 1600 1439 1400 1305 1249 1252 1178 1122 1200 Number of Properties 1000 800 601 600 533 600 502 400 127 134 200 99 74 67 84% 90% 91% 94% 89% 0 A-7587 B-8184 C-7777 D-7972 D-8078 Properties Inspected Compliant Properties Violations Compliance

  13. Compliance by Inspection Inspection 2: December 4 (Avg. 97%) 1200 1078 1054 994 976 1000 800 708 703 587 600 538 365 360 400 200 136 135 49 24 18 98% 1 92% 5 98% 5 99% 99% 99% 0 A-7485 A-7588 B-7880 C-7474 D-7871 D-8074 Properties Inspected Compliant Properties Violations Compliance

  14. Compliance by Inspection Inspection3: December 31 (Avg. 97%) 1200 1140 1136 1078 1054 1000 927 923 800 600 400 262 261 188 184 200 120 108 24 12 4 4 4 1 100% 100% 98% 100% 90% 98% 0 A-7781 B-8285 C-7474 C-7478 D-8072 D-8374 Properties Inspected Compliant Properties Violations Compliance

  15. Compliance by Inspection Inspection 4: January 29 (Avg. 97%) 1600 1438 1415 1400 1263 1169 1200 1018 1004 994 987 1000 793 773 800 600 437 427 400 200 94 20 23 97% 14 7 98% 10 98% 93% 99% 99% 0 A-7584 B-8082 C-7778 D-7974 D-8074 D-8171 Properties Inspected Compliant Properties Violations Compliance

  16. Compliance by Inspection Inspection 5: February 14 (Avg. 98%) 1400 1325 1295 1252 1250 1206 1200 1118 1000 912 900 833 825 800 600 400 200 88 100% 29 29 30 12 8 99% 100% 2 99% 93% 98% 0 0 A-7582 B-7984 B-8382 C-7671 D-7972 D-7977 Properties Inspected Compliant Properties Violations Compliance

  17. Compliance by Inspection Inspection 6: February 28 (Avg. 96%) 1600 1487 1476 1400 1302 1294 1200 997 1000 873 866 812 800 600 437 430 397 397 400 200 131 61 87% 99% 0 99% 100% 93% 11 8 98% 7 0 A-7685 B-7982 C-7477 D-8075 D-8171 D-8177 Properties Inspected Compliant Properties Violations Compliance

  18. Compliance by Inspection Inspection 7: March 6 (Avg. 97%) 1800 1540 1600 1540 1400 1334 1260 1200 1018 1017 1000 863 856 800 600 463 412 361 349 400 100% 200 90 90 74 51 100% 7 12 0 0 1 89% 100% 94% 99% 97% 0 A-7684 B-8080 B-8282 B-8286 C-7775 D-7874 D-8379 Properties Inspected Compliant Properties Violations Compliance

  19. Random Selection 4 grids were randomly selected twice during the season. Compliance rates improved

  20. Next steps 20

  21. Expand proactive inspection • Double the number of grids to be inspected in 2019-2020 winter season • Reprioritize resources

  22. Build list of support resources 22

  23. Improve Data Collection

  24. Thank you 24

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