GISG 110: Intro to GIS Final Project Presentation


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This presentation involves geocoding intersections to conclude whether or not red light cameras were effective in reducing accidents in the City of San Diego, CA.

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GISG 110: Intro to GIS Final Project Presentation

  1. 1. Red Light Enforcement Program in San Diego Alvin Hernandez / Steve Ruge GISG 110 Final Project Tuesday, January 26, 2010
  2. 2. RLEP <ul><li>Red Light Enforcement Program – the official name given to the red light camera program by the city of San Diego. Throughout this presentation we will be using RLEP to substitute for the program. This program is also referenced to (by the city) as the Red Light Photo Safety Program. </li></ul>
  3. 3. A Brief History of RLEP <ul><li>Authorized by California Vehicle Code Section 21455.5 in 1996 </li></ul><ul><li>San Diego’s most recent program started preparation on November 25, 2002 and the first intersection went “live” in June, 2003 </li></ul><ul><li>Right: Former Mayor Dick Murphy activates the first camera at “A” St/10 th Ave </li></ul>
  4. 4. RLEP Study Area in Relation to San Diego County
  5. 5. RLEP Equipment in General <ul><li>Left: The red light enforcement camera is shown mounted to the left of the green signal. Inset shows a close up of the camera itself. </li></ul><ul><li>Right: Signage warning you that the intersection is “photo enforced.” Inset shows the detail of the sign. </li></ul>
  6. 6. RLEP Intersections
  7. 8. Intersection 1: “A” St & 10 th Ave <ul><li>Council District 2, Centre City area </li></ul><ul><li>40,500 trips daily through intersection, 109 pedestrian crossings </li></ul><ul><li>Has issued citations for 154 of the 184 days the camera has been in operation </li></ul><ul><li>First intersection activated in RLEP </li></ul>
  8. 10. Intersection 2: 54 th St & Montezuma Rd <ul><li>Council District 7, College Area </li></ul><ul><li>31,000 daily trips through intersection, 39 pedestrian crossings </li></ul><ul><li>Near San Diego State University (SDSU) </li></ul><ul><li>Issued 63 tickets in 89 days of operation </li></ul>
  9. 12. Intersection 3: Black Mountain Rd & Mira Mesa Blvd <ul><li>Council District 5, Mira Mesa </li></ul><ul><li>82,100 daily trips through intersection, 79 pedestrian crossings </li></ul><ul><li>High rate of rear-end collisions </li></ul><ul><li>Near a shopping center </li></ul><ul><li>Issued 239 tickets in its 110 days of operation </li></ul>
  10. 14. Intersection 4: La Jolla Village Dr & Towne Centre Dr <ul><li>Council District 1, University </li></ul><ul><li>79,000 daily trips through intersection, 87 pedestrian crossings </li></ul><ul><li>University Town Center area of San Diego </li></ul><ul><li>Office Buildings and Shopping Centers </li></ul><ul><li>Lowest ticket generator at 36 tickets in 89 days of operation </li></ul>
  11. 16. RLEP Statistics
  12. 17. Red Light Camera Days In Operation at Each Intersection <ul><li>The intersection of “A”/10 th was the first to get the red light cameras (in operation 184 days) </li></ul><ul><li>Black Mountain/Mira Mesa was the next </li></ul><ul><li>The two final cameras were turned on the same day – 54 th /Montezuma and La Jolla Village/Towne Centre </li></ul>
  13. 19. Accidents One Year Prior to RLEP <ul><li>This map shows the total number of accidents at each intersection one year prior to the beginning of the RLEP </li></ul><ul><li>Black Mountain/Mira Mesa was the most problematic intersection at 10 . </li></ul>
  14. 21. Accidents To Date Since RLEP <ul><li>This map shows the number of accidents since the RLEP was in place </li></ul><ul><li>All intersections showed reductions in total accidents </li></ul><ul><li>The greatest reduction occurred at La Jolla Village/Town Centre (from 9 to 2) </li></ul>
  15. 23. Rear End Collisions Before RLEP <ul><li>Number of rear end collisions one year prior to RLEP </li></ul><ul><li>Again Black Mountain/Mira Mesa and La Jolla Village/Town Centre lead the way (5 and 4 each) </li></ul>
  16. 25. Rear End Collisions Since RLEP <ul><li>Surprisingly, all intersections except 54 th /Montezuma showed reductions of exactly 2 rear-end collisions since the RLEP began </li></ul><ul><li>“ A”/10 th had the best record in reducing rear end collisions from 2 to 0 </li></ul><ul><li>54 th /Montezuma stayed the same at 1 </li></ul><ul><li>Our hypothesis was that rear-end collisions would increase after the RLEP due to drivers slamming on their brakes to avoid the camera taking their photograph </li></ul>
  17. 27. Accidents Due To Red Light Violations Before RLEP <ul><li>This map shows the number of accidents due to red light violations one year before the RLEP began </li></ul><ul><li>Black Mountain/Mira Mesa and “A”/10 th seem to be the most problematic areas with 3 accidents each </li></ul>
  18. 29. Accidents due to Red Light Violations since RLEP <ul><li>Accidents due to red light violations dropped to 0 at all four intersections once the RLEP began </li></ul><ul><li>We had expected there to be some accidents but it appears the cameras are forcing drivers to pay more attention to the intersections </li></ul>
  19. 31. Total Days Camera In Operation vs. Citations Issued
  20. 34. ArcMap Tools Used In This Project <ul><li>6 Layer Files </li></ul><ul><ul><li>City </li></ul></ul><ul><ul><li>Major Streets & Freeways </li></ul></ul><ul><ul><li>National Parks </li></ul></ul><ul><ul><li>Airports </li></ul></ul><ul><ul><li>Lakes </li></ul></ul><ul><ul><li>Geocoding Results for 4 Intersections </li></ul></ul><ul><li>One layer background (Blue Pacific Ocean) </li></ul><ul><li>Annotation (text “Pacific Ocean”) </li></ul><ul><li>Labeling (Geocoding Results) </li></ul><ul><li>One Homemade Table made in Microsoft Excel and exported as a Text File into ArcMap </li></ul><ul><ul><li>RLEP Statistics </li></ul></ul><ul><ul><li>Locations of Cameras </li></ul></ul><ul><li>Geocoding 4 addresses </li></ul><ul><li>Layout Skills (map legend, North Arrow, scale, and map headers) </li></ul>
  21. 35. GIS-Related Lessons/Skills <ul><li>Managing layer files and background for layer files (Pacific Ocean) </li></ul><ul><li>Practice Geocoding </li></ul><ul><li>Labeling & Annotating Skills </li></ul><ul><li>Final Output </li></ul><ul><ul><li>North Arrow </li></ul></ul><ul><ul><li>Scales for appropriate views </li></ul></ul><ul><ul><li>Legends </li></ul></ul>
  22. 36. Geocoding <ul><li>geocoding </li></ul><ul><li>The process of finding the location of a street address on a map. The location can be an x,y coordinate or a feature such as a street segment, postal delivery location, or building. In GIS, geocoding requires a reference dataset that contains address attributes for the geographic features in the area of interest. </li></ul>
  23. 37. Geocoding Process in ArcMap <ul><li>We learned a lot about Geocoding with ArcMap </li></ul><ul><li>It took several tries before all four intersections would geocode correctly. We had to include zip codes with our intersections before all four would map </li></ul><ul><li>One the geocoding worked it worked great consistently </li></ul>
  24. 38. Sources <ul><li>RLEP Statistical Data: Courtesy of the City of San Diego Manager’s Report to the City Council, Red Light Photo Enforcement Program – Status Report ; Report Number 04-056; March 17, 2004 located at </li></ul><ul><li>RLEP Location Data: Courtesy of the City of San Diego downloadable PDF brochure Safe Lights for San Diego located at </li></ul><ul><li>Quick Statistics: Courtesy of the City of San Diego downloadable Microsoft Word document Red Light Photo Enforcement Fact Sheet located at </li></ul><ul><li>Equipment Photos and Additional RLEP Location Data: Courtesy of the City of San Diego website Red Light Safety Program located at </li></ul><ul><li>Zip Codes for Intersections (used in Geocoding): Courtesy of Google Maps located at </li></ul><ul><li>Photo of Former Mayor Murphy Activating First Camera: Courtesy of the City of San Diego Mayor’s Website. Image located at </li></ul><ul><li>City of San Diego Seal and Slogan: Courtesy of the City of San Diego Website Homepage located at </li></ul>