&
MTPO Transportation Safety PlanStakeholder Meeting #1
February 26, 2018
—Self Introductions—Review of Project Tasks / Schedule—Presentation and Discussion
—Task B Data Analysis—Task C Emphasis Areas and Performance
Measures—Focus on 4E’s (Education, Engineering,
Enforcement, EMS)
— Obtain Stakeholder Feedback / Concurrence for Moving Forward
—Next Steps
Outline
— Carlton Scroggins (MTPO / City of Topeka), 785-368-3014, [email protected]
— Taylor Ricketts (MTPO / City of Topeka), 785-368-1607, [email protected]
— Bill Fiander (MTPO / City of Topeka), 785-368-3008, [email protected]
— Jason Peek (City of Topeka), 785-368-3801, [email protected]
— Terry Coder (City of Topeka), 785-368-3842, [email protected]
— Brian Faust (City of Topeka), 785-368-3842, [email protected]
Core Team Members
— Eric Nichol (KDOT), 785-296-1244, [email protected]— Adam Weigel (Topeka Metro), 785-730-8625,
[email protected]— Mike Spadafore (KDOT), 785-296-4907,
[email protected]— Tom Vlach (Shawnee County), 785-251-6101,
[email protected]— Barry Beagle (Shawnee County), 785-291-5410,
[email protected]— Andy Fry (Topeka Community Cycle Project / Topeka
Metro), 785-730-8629, [email protected]— Sgt. Matt Danielson (Topeka Police Dept.),
Key Stakeholders
— David Church (WSP), 913-754-5546, [email protected]
— Jay Aber (WSP), 913-754-5563, [email protected]— Ingrid Potts (MRI Global), 816-360-5284,
[email protected]— Jessica Hutton (MRI Global), 816-360-5482,
[email protected]— Janelle Clayton (Merge Midwest Engr.), 913-486-1206,
[email protected]— Jim Tobaben (WSP), 785-633-5607,
[email protected]— Jackie Gatotho (WSP), 402-470-8286,
[email protected]— Lisa Shofstall (WSP), 913-754-5569, [email protected]
Consultant Team Members
— Task A – Project Management— Task B – Data Analysis— Task C – Emphasis Areas and Performance Measures— Task D – Identify Strategies— Task E – Develop Local Transportation Safety Plan
Project Tasks
Project Schedule
— KDOT Crash Database for Shawnee County (2010 – 2016)— 23, 591 total crashes— Three Severity Levels
— Fatal— Injury (will be able to break-down to levels of injury)— Property Damage Only (PDO)
— Most Prominent Crash Types— Angle-Side Impact (37% of all injury)— Rear-end (25% of all injury)— Collision with Fixed-Object (34% of all fatal)— Collision with parked motor vehicle
Task B – Data Analysis
Task B – Data Analysis
Accident Class Fatal crashesInjury
crashesTotal
CrashesMulti-vehicle crashes 25 3,825 16,071
Rear-end 4 1,389 5,934
Angle – side impact 16 2,074 7,631
Head-on 4 194 461
Sideswipe – opposite direction 1 50 300
Sideswipe – same direction 0 90 1,241
Backed into 0 21 460
Other 0 2 14
Unknown 0 5 30
Single-vehicle crashes 43 1,720 7,520
Collision with fixed object 23 834 3,296
Collision with parked motor vehicle1 135 2,265
Collision with pedestrian 9 259 273
Collision with pedalcycle 3 202 214
Collision with animal 1 27 800
Collision with railway train 2 3 9
Collision with other object 0 15 112
Other non-collision 1 77 275
Overturned 3 166 258
Unknown 0 2 18
TOTAL 68 5,545 23,591
Summary of crash frequency by accident class and severity
Task B – Data AnalysisPercent of fatal and injury crashes by accident class
Accident Class Fatal crashes Injury crashesMulti-vehicle crashes 36.8 69.0
Rear-end 5.9 25.0Angle – side impact 23.5 37.4Head-on 5.9 3.5Sideswipe – opposite direction 1.5 0.9Sideswipe – same direction 0.0 1.6Backed into 0.0 0.4Other 0.0 0.0Unknown 0.0 0.1
Single-vehicle crashes 63.2 31.0
Collision with fixed object 33.8 15.0
Collision with parked motor vehicle 1.5 2.4
Collision with pedestrian 13.2 4.7
Collision with pedalcycle 4.4 3.6
Collision with railway train 2.9 0.1
Collision with animal 1.5 0.5
Collision with other object 0.0 0.3
Other non-collision 1.5 1.4
Overturned 4.4 4.4
Unknown 0.0 0.0
TOTAL 100.0 100.0
Task B – Data AnalysisPercent of crashes in each accident class that are fatal- or injury-level severity
Accident ClassFatal and injury
crashes PDO crashesMulti-vehicle crashes 24.0 76.0
Rear-end 23.5 76.5Angle – side impact 27.4 72.6Head-on 43.0 57.0Sideswipe – opposite direction 17.0 83.0Sideswipe – same direction 7.3 92.7Backed into 4.6 95.4Other 14.3 85.7Unknown 16.7 83.3
Single-vehicle crashes 23.5 76.5Collision with fixed object 26.0 74.0Collision with parked motor vehicle 6.0 94.0Collision with pedestrian 98.2 1.8Collision with pedalcycle 95.8 4.2Collision with railway train 55.6 44.4Collision with animal 3.5 96.5Collision with other object 13.4 86.6Other non-collision 28.4 71.6Overturned 65.5 34.5Unknown 11.1 88.9
TOTAL 23.8 76.2
Task B – Data AnalysisFixed object crashes by object and severity
Fixed Object Injury Fatal TotalCURB 229 9 903
UTILITY DEVICES: POLE, METER, ETC. 120 1 483
DITCH 89 0 281
SIGN POST 39 1 249
TREE 90 5 228
MAILBOX 55 1 222
FENCE / GATE 21 1 150
DIVIDER-MEDIAN BARRIER 28 0 135
OTHER 30 2 122
CULVERT 36 1 102
GUARDRAIL 18 1 78
OTHER POST-POLE 17 0 78
HYDRANT 7 0 52
BUILDING 10 0 50
BRIDGE RAIL 6 0 38
EMBANKMENT 16 1 38
WALL 10 0 32
BRIDGE STRUCTURE 4 0 19
UNKNOWN 2 0 15
BARRICADE 5 0 11
RR CROSSING FIXTURES 1 0 8
CRASH CUSHION (BARRELS) 0 0 3
OVERHEAD SIGN SUPPORT 1 0 3
Total 834 23 3300
Task B – Data AnalysisFrequency of crashes by location type and severity level
Accident Location Fatal crashesInjury
crashesTotal
CrashesIntersection and intersection-related crashes
23 3061 10,889Non-intersection-related crashes
45 2484 12,702TOTAL
68 5,545 23,591
Accident Location Fatal crashesInjury
crashesTotal
CrashesIntersection and intersection-related crashes
33.8 55.2 46.2Non-intersection-related crashes
66.2 44.8 53.8TOTAL
100.0 100.0 100.0
Percent of each severity level by location type
Task B – Data AnalysisIntersection and intersection-related crash by crash type and severity level
Accident ClassFatal
crashesInjury
crashesTotal
CrashesMulti-vehicle crashes 20 2,664 10,048
Rear-end 2 881 3,664
Angle – side impact 15 1,620 5,371
Head-on 2 99 260
Sideswipe – opposite direction 1 22 139
Sideswipe – same direction 0 36 489
Backed into 0 2 104
Other 0 1 3
Unknown 0 3 18
Single-vehicle crashes 3 397 841
Collision with fixed object 0 82 368
Collision with parked motor vehicle 0 10 82
Collision with pedestrian 2 111 115
Collision with pedalcycle 0 127 133
Collision with animal 0 1 14
Collision with railway train 0 0 1
Collision with other object 0 4 17
Other non-collision 0 16 53
Overturned 1 44 53
Unknown 0 2 5
TOTAL 23 3,061 10,889
Task B – Data AnalysisIntersections with highest crash frequency and highest fatal-and-injury
crash frequency.
Rank Intersection Total crashes Intersection F&Is
1 SW Gage Blvd and 21st St 102 10th Ave and Topeka Blvd 28
2 Wanamaker Rd and 21st St 93 Huntoon St and Gage Blvd 26
3 Fairlawn Rd and 21st St 92 6th Ave and Topeka Blvd 25
4 29th St and Fairlawn Rd 90 Fairlawn Rd and 21st St 25
5 Washburn Ave and 21st St 90 Lane St and 10th Ave 25
6 10th Ave and Topeka Blvd 82 21st St and Adams St 24
7 6th Ave and Topeka BLVD 82 29th St and Fairlawn Rd 22
8 Gage Blvd and 29th St 82 Gage Blvd and 21st St 22
9 17th St and Wanamaker Rd 77 Gage Blvd and 6th Ave 22
10 Huntoon St and Gage Blvd 77 Wanamaker Rd and 21st St 22
11 10th Ave and Gage Blvd 75
TOTAL 942 TOTAL 241
Task B – Data AnalysisPedestrian and bicycle crashes by severity level
Intersection-related pedestrian and bicycle crashes by severity level
Crash type Fatal% of fatal
crashes Injury% of injury
crashes Total% of total
crashes
Collision with pedestrian9 13.2 259 4.7 273 1.2
Collision with pedalcycle3 4.4 202 3.6 214 0.9
Crash type Fatal% of fatal
crashes Injury% of injury
crashes Total% of total
crashes
Collision with pedestrian2 8.7 111 3.6 115 1.1
Collision with pedalcycle0 0.0 127 4.1 133 1.2
— Segments analysis has not been performed at this time— Need AADT and cross-section characteristics in GIS format— If specific roadway segments are of particular interest, geofences
can be drawn around those segments for crash analysis
— Work Zones— Only four (4) work zone crashes on local roadways included in the
database (unrealistic)— Not coded as a “work zone” crash by law enforcement
Task B – Data Analysis
Task B – Data AnalysisTotal Crashes by Age
Task B – Data AnalysisFatal Crashes by Age
Task B – Data AnalysisInjury Crashes by Age
Task B – Data Analysis2010 – 2016 Crashes by Driver Age
0
100
200
300
400
500
600
700
800
900
1000
10 20 30 40 50 60 70 80 90 100
2010-2016 Crashes by Driver Age
Task B – Data AnalysisPercent of Crashes that Involve Speeding and Distraction
0
5
10
15
20
25
30
35
40
Fatal Crashes Fatal and Injury Crashes Total Crashes
Speeding Distracted
— Suggested Emphasis Areas for MTPO
— Intersections - (angle-side impact, rear-end)— Roadway Departure (fixed object in urban and rural areas) — Pedestrians and Bicyclists — Four-Lane Arterials – need to perform Sections Analysis— Teen Drivers — Distracted Driving — Speed
Task C – Emphasis Areas and Performance Measures
Emphasis Areas that I would not suggest for MTPO
— Occupant Protection –— In 2017, seat belt observations in Shawnee County were at 88.2% (fifth highest
county in Kansas).— Multi-year average rate is 85.90% (in my opinion, not an issue in Shawnee
County).
— Older Driver – based on the driver age related data, crashes involving older drivers in Shawnee County are below the norm.
Emphasis Areas to consider for the MTPO
— Impaired Driving— Education — Other
Task C – Emphasis Areas and Performance Measures
State of Kansas Safety Performance Measures
Task C – Emphasis Areas and Performance Measures
Measure (Data Source)
2018 ProjectionTarget % below
Projection 2018 HSP/HSIP Target
Number of Fatalities (FARS) 364 0% 364
Number of Serious Injuries (KCARS) 1202 1% 1190
Serious Injury Rate/100MVMT (KCARS/FHWA)
3.851 2% 3.774
Fatality Rate/100MVMT (FARS/FHWA) 1.17 1% 1.16
Non-Motorized Fatalities and Serious Injuries (FARS/KCARS) 139 1%
138
MTPO Performance Measures - Recommend that you have at least one safety PM for each Emphasis Area that are in-line in support of the Kansas PM
Task C – Emphasis Areas and Performance Measures
- Continue Safety Analysis based on your feedback- Select Emphasis Areas to move forward- Develop Performance Measures for each Emphasis Area - Public Meeting #1 will be scheduled for late March / early
April 2018 (City Library)- Begin strategy development for each Emphasis Area - Schedule next Stakeholder meeting to review strategies
Next Steps
&
Thank you!
Questions?
Top Related