CRIS, GPS, and BLOS data collection tools for effective bicycle and pedestrian planning
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Transcript of CRIS, GPS, and BLOS data collection tools for effective bicycle and pedestrian planning
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CRIS, GPS, and BLOS: Data Collection Tools for Effective Bicycle and Pedestrian Planning
Lydia Kelly, Cecilio Martinez, Stephanie Velasquez
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Lydia Kelly Bicycle & Pedestrian Transportation Planner Phone: (210) 230-6911 Email: [email protected]
Stephanie Velasquez Regional Transportation Planner Phone: (210) 230-6908 Email: [email protected]
Cecilio Martinez Senior GIS & Web Analyst Phone: (210) 230-6905 Email: [email protected]
Presented by
825 South Saint Mary’s St. | San Antonio, Texas 78205 | Phone: 201-227-8651 | Fax:210-227-9321
www.sametroplan.org
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Lydia Kelly Bicycle & Pedestrian Transportation Planner Phone: (210) 230-6911 Email: [email protected]
Introduction and MPO Plans and Programs
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Agenda
§ What is an MPO and how it relates to active transportation
§ Programs and Studies
§ Data: Where it comes from; how it is used
§ Incorporating the Safety Program
§ Questions
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Metropolitan Planning Organization
Greater Bexar County Council of Cities
Northeast Partnership
Metropolitan Transit
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Transportation Policy Board Senator Jeff Wentworth Texas Legislator Representative Joe Farias Texas Legislator Mayor Chris Riley, Leon Valley Greater Bexar County Council of Cities Commissioner Kevin Wolff Bexar County Commissioner Sergio Rodriguez Bexar County Commissioner Tommy Adkisson (Chair) Bexar County Renne Green, Director Public Works Bexar County Councilman Carlton Soules San Antonio Councilman Cris Medina San Antonio Council Ray Lopez San Antonio Councilman Rey Saldaña San Antonio Majed Al Ghafry, Dir. Public Works San Antonio Mike Frisbie, Dir., CIMS Department San Antonio Councilman William Weeper, Selma Northeast Partnership Manuel Peláez, Board Member VIA Transit Mary Briseño, Board Member VIA Transit Mario Medina, District Engineer SA District,TxDOT Clay Smith, Planning Engineer SA District,TxDOT Dean Danos, Executive Director AACOG
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MPO Programs and Plan
Unified Planning Work Program: Budget and Planning Studies -‐ 2 years
Metropolitan Transportation Plan: Future goals, strategies and transportation projects for 25 years
Transportation Improvement Program: Funded transportation projects within 4 years
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Components of the Plans & Programs
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Active Transportation Programs
Walkable Community Program Walkable Community Workshops Pedestrian and Bicycle Safety Classes for children and adults Bike rodeos/related activities Defensive Driving Class Support
Walk & Roll Program Walk & Roll Rally Supports National Bike to Work Month Encourages businesses to support active transportation Encourages residents to “try” active transportation
Bicycle and Pedestrian Mobility Advisory Committees Monthly meetings 3 Bike Night meetings a year Agency Staff and Citizen Representation
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What is wrong with this picture?
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Elements desired for a Community
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The Benefits a Walkable Community
Transportation Benefits– reduced traffic congestion, improved safety, calms traffic, preserves road infrastructure.
Economic Benefits – increased retail sales (restaurants, lodging establishments, retail stores), job creation, and enhancement of nearby property values.
Environmental Benefits – improved air quality and energy conservation.
Social Benefits -‐ quality-‐of-‐life benefits from living in communities with more open space and greenways and that provide more opportunities for walking or cycling.
Health and Fitness Benefits– it is well recognized that Americans would benefit in many ways from a more active lifestyle. Bike lanes, sidewalks and trails promote healthy choices.
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Related Studies
Bicycle & Pedestrian Data Collection Project Phase I and Phase
II
San Antonio Regional
Bicycling Travel Patterns Survey
Pedestrian Safety Action
Plan
Mobility 2035 Plan Scenario Planning
Scoring for Surface Transportation Projects
Metro Mobility recognize active transportation projects
Safety Program
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Cecilio Martinez Senior GIS & Web Analyst Phone: (210) 230-6905 Email: [email protected]
Study Network and Data Elements
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The San Antonio – Bexar County Metropolitan Planning Organization (MPO) Planning area
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History
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History 1975
City of San Antonio’s Bicycle Master Plan
1975 San Antonio only had three bicycle corridors, which consisted of McAllister Park, a route connecting St. Mary's University, Trinity University, San Antonio College and Brackenridge Park, and a bike trail along the San Antonio River in the historic mission area.
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History
Bicycle Mobility Task Force
Full-time bicycle coordinators
Identify bicycling funding
1995
UPWP 94-2 San Antonio-Bexar County Bicycle Mobility Plan.
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History 1997
Community’s Bicycle Route Planning Workshop Proposed Bikeways
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History 2005
Adoption of the Bicycle Master Plan April 28, 2004 Consideration of a resolution to execute a Bicycle Master Plan for the City of San Antonio and Bexar County region as called for in the Unified Development Code (Development Services)
Approved by San Antonio City Council on April 21, 2005
Approved by Bexar County Commissioners Court by resolution on July 12, 2005
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Current
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Bicycle Network
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Total Percentage of the Bicycle Network
28. 6%
28.6% of Corridors Used From MPO Bicycle Mobility Plan (1994)
and Community-Based Bicycle Planning Study (1997)
+/- 5% margin of error
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Total Percentage of the Bicycle Network
56. 8%
28.2% of Corridors Used From 2001 Bicycle Route Suitability Study
+/- 5% margin of error
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Total Percentage of the Bicycle Network
62%
5.2% of Corridors Used From 2004 Existing and Funded Bicycle
Facilities and Accommodations
+/- 5% margin of error
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Total Percentage of the Bicycle Network
72.9%
10.9% of Corridors Used From 2005 Metropolitan Transportation Plan Update Public Involvement
+/- 5% margin of error
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Total Percentage of the Bicycle Network
77. 2%
4.3% of Corridors Used From 2005 Proposed Southside Initiative
and some City of San Antonio Prop 3 Hike and Bike Trails
4.3%
+/- 5% margin of error
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Total Percentage of the Bicycle Network
100%
22.8% of Corridors Used From 2005 The City of San Antonio’s
Major Thoroughfare Plan
+/- 5% margin of error
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How do we evaluate this network?
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What is Bicycle Level of Service (BLOS)?
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What is Bicycle Suitability and Bicycle Level of Service (BLOS)?
Bicycle level of service (BLOS) attempts to place a rating on the experience of bicycling on the transportation networks of collector, arterial, service and local roads. The rating ranges from A to F, good to bad respectively along the lines of the automobile level of service (LOS) model.
a1ln(Vol15/L) + a2SPt(1+10.38HV)2 + a3(1/PC5)2 - a4(We)2 + C
where: Vol15 = directional traffic (15 minutes time period) L = total number of through lanes SPt = effective speed limit (see below) SPt = 1.12ln(SPP -20) + 0.81 SPP = Posted speed limit HV = percentage of heavy vehicles PC5 = FHWA’s five point surface condition rating We = Average effective width of outside through lane
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Width of bike lane/paved shoulder Width of outside lane Traffic volume Traffic Speed % Trucks Presence of on-street parking Pavement Condition
Key Inputs for Bicycle Conditions Evaluation
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Basis for 2001 San Antonio study Basis for 2005 San Antonio update Part of the 2010 Highway Capacity Manual
BLOS
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Key Inputs for Bicycle Conditions Evaluation
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Orthophoto Imagery
Digital orthophoto is a computer-generated image of an aerial photograph or aerial digitial image in which displacements caused by camera orientation and terrain have been corrected and the image has been projected to a standardized map projection. In other words, digital orthophotos are special photos because they have been processed to be spatially accurate.
The MPO has access to imagery at 4 inch pixel resolution
Why Aerial Photography or Orthophoto Imagery?
The resolution number represents the distance covered by one pixel in the image. Therefore, a 4 inch image is an image where 1 pixel is equal to 4 inches.
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Aerial Photography
Our imagery is updated every year from our partnership with City of San Antonio, Bexar County Appraisal District and Bexar Metro 9-1-1. Which are part of the
Strategic Geospatial Coordination Committee or SGCC
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What can you collect using the Aerial Photography? 1. Number of Lanes = 2 3. Configuration = undivided 6. Total width of outside lane & shoulder = 18ft 7. Width of outside striped lane = 5ft 8. Width of Parking = 0 9. Percent of segment with occupied parking = 0 10. Width of Sidewalk = 6ft
Quickly Identify Geometrics
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Segment Split
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Right-Of Way
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RATING PAVEMENT CONDITION 5.0 (Very Good) Only new or nearly new pavements are likely to be smooth enough and free of cracks
and patches to qualify for this category.
4.0 (Good) Pavement, although not as smooth as described above, gives a first class ride and exhibits signs of surface deterioration.
3.0 (Fair) Riding qualities are noticeably inferior to those above; may be barely tolerable for high-speed traffic. Defects may include rutting, map cracking, and extensive patching.
2.0 (Poor) Pavements have deteriorated to such an extent that they affect the speed of free-flow traffic. Flexible pavement has distress over 50 percent or more of the surface. Rigid pavement distress includes joint spalling, patching, etc.
1.0 (Very Poor) Pavements that are in an extremely deteriorated condition. Distress occurs over 75 percent or more of the surface.
Pavement Condition
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Figure 7: Pavement Condition Ratings & Images
PCR 5.0 - Excellent New or nearly new pavements. Free of cracks, patches, or rutting.
PCR 4.0 - Good to Excellent Pavements exhibiting few, if any, visible signs of surface deterioration.
PCR 3.3 - Good Evidence of initial deterioration including hairline cracks and minor rutting.
PCR 2.4 - Fair to Poor Visible defects including moderate cracking, distortion, and rutting. Some patching may now be present.
PCR 1.2 - Poor Extremely deteriorated pavements. Defects include severe cracking, distortion, and rutting. Very extensive patching.
PCR 0.8 - Very Poor Pavement is completely deteriorated. No structural integrity.No salvage value.
Source http://www.state.me.us/mdot/systems_management/pvmnt-conditions.php
A visual example of the Pavement conditions descriptions
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Traffic Count
City of San Antonio Bexar County
Texas Department of Transportation
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Field Collection is most accurate
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2003
Bicycle Maps (Free) 2005 2009
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~1,000 miles of roadway studied ~34 miles of bicycle facilities existed ~10,000 copies
11% 10%
15%
37%
24%
3%
0%
5%
10%
15%
20%
25%
30%
35%
40%
Perc
enta
ge o
f Stu
dy N
etw
ork
Segm
ents
A B C D E F
Level of Service Grades
Bicycle Level of Service Distribution
2001 Bicycle Study with 2003 Bicycle Map
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~1,400 miles of roadway studied ~66 miles of bicycle facilities existed ~45,000 copies
2005 Bicycle Study with Bicycle Map
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~1,664 miles of roadway studied ~136 miles of bicycle facilities ~30,000 copies
2009 Bicycle Study with Bicycle Map
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Year Bicycle Network (Miles)
Bicycle Facilities
(Miles)
Number of Copies
2003 1,000 34 10,000
2005 1,400 66 45,000
2009 1,664 136 30,000
Bicycle Study Summary
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Progressive Studies
Bicycle & Pedestrian Data Collection Project Phase I and Phase II
San Antonio Regional Bicycling Travel Patterns Survey
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
Shoulders 4ft or Greater
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
Bicycle LOS “B” for all collector and local streets, as well as arterials within one mile of the existing/planned Linear Creekway system Bicycle LOS “C” for all other arterial street
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
CoSA: 10 ft. (11 ft. if along a VIA route or a road with significant horizontal curvature) TxDOT: 11 ft. Bexar Co.: 12 ft
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
CoSA: 10 ft. (11 ft. if along a VIA route or a road with significant horizontal curvature) TxDOT: 11 ft. Bexar Co.: 12 ft
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
Motor Vehicle LOS “C”
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
Motor Vehicle LOS “C”
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
Right-Of Way and Cross Section
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Bicycle & Pedestrian Data Collection Project Phase I and Phase II
1. Existing/Programmed Paved Shoulders or Bike Lanes
2. Bicycle LOS Threshold Met
3. Roadway Restripe Candidate
4. Road Diet Candidate
5. Add Paved Shoulders
6. Detailed Corridor Study Needed
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San Antonio Regional Bicycling Travel Patterns Survey
To gather data from residents to better understand bike travel in the region, including:
Estimated number of residents who bike The reasons people bike Where people bike The frequency that people bike Barriers to biking Perceptions of current conditions for biking in the region The types of biking improvements that are needed
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San Antonio Regional Bicycling Travel Patterns Survey
Profile of Bicyclists and Non-Bicyclists
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San Antonio Regional Bicycling Travel Patterns Survey
The GPS survey was administered to 208 bicyclists ◦ 152 randomly selected bicyclists ◦ 56 active bicyclists who were members of cycling clubs, etc.
The GPS device was carried by bicyclists for one week The GPS device recorded the routes used, speed, and other information that will help us better understand bike travel in the region
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San Antonio Regional Bicycling Travel Patterns Survey
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Progress
1975 2011
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iMap and Bicycle Information
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Stephanie Velasquez Regional Transportation Planner Phone: (210) 230-6908 Email: [email protected]
MPO’s Safety Program
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§ Efforts began in 2006 § Best Practices
§ Available crash data
§ 2009 began to work with TxDOT – safety data
§ Request from partner agencies for information about traffic and safety crash information for more informed decision making
§ 2010 release of the MPO’s Regional Safety Study using 2008 Crash Record Information System data
History
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§ Exceptional growth over the next 20 years, expecting 600,000 new residents.
§ Introducing CRIS and safety data to our region.
§ Budget constraints limit the ability for the needed transportation improvements making safety even more of a pressing issue.
§ Efforts to reduce the frequency and severity of crashes has long been underway, this study offers a more coordinated effort across local jurisdictions.
§ Priority for the MPO and Partner Agencies § Requests from City of San Antonio Public Works
§ San Antonio Police Department § Bicycle and Pedestrian Mobility Advisory Committees
Purpose of the 2010 Safety Study
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v Introduction v Transportation Safety in
the Planning Process v Regional Safety
Committee v Methodology v Legislative Information v Next Steps
v Regional Crash Assessment v Impaired Driving v Distracted Driving v Road Rage/Aggressive Driving v Cell Phone Use v Speeding v Bicycle Crashes v Pedestrian Crashes v Motorcycle Crashes
v Analysis
v Technical Appendix
2010 Safety Study Overview
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v Regional Crash Assessment
v Impaired Driving
v Distracted Driving
v Road Rage/Aggressive Driving
v Cell Phone Use
v Speeding
v Bicycle Crashes
v Pedestrian Crashes
v Motorcycle Crashes
On average, one bicyclist is involved in a crash with a vehicle every other day in our region.
Did you know? v The first automobile crash involving a cyclist in the United States occurred
in New York City in 1896, when a motor vehicle collided with a bicyclist. (www.cycling.org)
v Cyclists were the highest paid athletes in the U.S. until Babe Ruth joined the Yankees.(www.cycling.org)
v Helmet use has been estimated to reduce head injury risk by 85 percent.
v Twenty-onestates and the District of Columbia have helmet laws applying to young bicyclists; none ofthese laws applies to all riders. (www.helmets.org)
2010 Safety Study Overview
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2010 Safety Study Overview
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Analyzed accurate quantitative and qualitative data.
v Crash Records Information System
v Transportation Survey
v GIS
2010 Safety Study Overview
Methodology
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Crash Unit Person
Photo courtesy San Antonio Express-News Photo courtesy San Antonio Express-News
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Crash Number
Crash Records Information System (CRIS)
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§ Create a Regional Safety Program
§ Develop an online public friendly format
§ Current three years
§ Develop an online application that allows public agencies to directly access data § “iMap”
Safety Study Overview – Next Steps
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§ City of San Antonio Bond Project Selection for 2012
§ STP-MM Funding for Future MPO Projects
§ Walkable Community Workshops
§ Bicycle Master Plan
§ Pedestrian Safety Action Plan
§ San Antonio Police Deployment of Resources
§ Education and Awareness Campaigns
§ Support Data for Grant Applications
§ Northside Independent School District
How is the Safety Data Used?
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§ More formalization of safety efforts, analysis and data collection
§ Information is updated online § More in-depth information of analysis areas § Additional contributing factors analyzed § Includes year 2010 thus far § 8 contributing factors represent 76% crashes
MPO Safety 2012
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§ Transportation Safety Committee § Texas Department of Transportation
§ San Antonio Police Department
§ City of San Antonio
§ Silver Eagle Distributors
§ Bexar County Sheriff’s office
§ Bexar County GIS Department
§ Mother’s Against Drunk Driving
§ Federal Highway Administration
Who helps us make decisions?
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§ Bike Master Plan
§ Pedestrian Safety Action Plan
§ STP-MM projects
§ City of San Antonio Bond Program
§ Walkable Community Workshops
Safety: an Important Component in Transportation Planning
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Bike Master Plan
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Pedestrian Safety Action Plan
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No Entity Roadway Name Number of Crashes
Crash Rate per VMT
57 TxDOT IH 410 Pedestrian Accommodations 0 0.00
59 TxDOT Loop 13 Pedestrian Facilities 15 1.39
60 TxDOT Loop 13 Pedestrian Facilities 3 0.68
67 TxDOT US 87 Bicycle Accommodations 3 0.72
STP-MM projects
The formula for calculating the crash rate for a roadway segment is presented below. The “Rate” ( R ) is expressed in crashes per Million Vehicle Miles Traveled (MVMT),
which is standard to the Traffic Engineering profession.
Where: A = Average number of crashes along the study roadway per year L = Length of roadway segment in miles V = Average Daily Traffic Volume along the roadway
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City of San Antonio Bond Program
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Walkable Community Workshops
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Bike Night
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iMap update with safety related data
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§ Safety Program Continued Development § Regional Safety Trends
§ Performance Measures
§ Counter Measures
Next Steps
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Questions Lydia Kelly, Cecilio Martinez, Stephanie Velasquez