LOCAL CRASH FACT SHEETS

Transcription

1 LOCAL CRASH FACT SHEETS - JULY 6

2 - The Local Crash Fact Sheets were prepared by the Mid-Ohio Regional Planning Commission (MORPC), Liberty St., Columbus, OH, , with funding from the Federal Highway Administration, Federal Transit Administration, Ohio Department of Transportation, and Delaware, Fairfield, Franklin, and Licking counties. The contents of this report reflect the views of MORPC which is solely responsible for the information presented herein. In accordance with requirements of the U.S. Department of Transportation (USDOT), MORPC does not discriminate on the basis of race, color, national origin, gender, or disability in employment practices or in programs or activities. More information on non-discrimination resources and related MORPC policies is available at under about MORPC, policies. The information contained includes all crashes occurring within the jurisdictional boundaries of Central Ohio s cities. These crashes were attributed to individual jurisdictions based on the latitude and longitude coordinates provided with the standardized police reports (OH- ). MORPC staff makes every reasonable effort to ensure the accuracy of this information. However, it is important to note that due to differences between the local jurisdiction boundary files maintained by MORPC and the Ohio Department of Transportation, reporting discrepancies may exist. An example of this can be seen below: MORPC BOUNDARY FOR THE CITY OF HILLIARD GCAT BOUNDARY FOR THE CITY OF HILLIARD

3 TABLE OF CONTENTS EXECUTIVE SUMMARY... SECTION : CITY COMPARISON LOCAL CRASH STATISTICS... REGIONAL PERFORMANCE... SECTION : LOCAL CRASH FACT SHEETS BEXLEY... 6 CANAL WINCHESTER... 8 COLUMBUS... DELAWARE CITY... DUBLIN... GAHANNA... 6 GRANDVIEW HEIGHTS... 8 GROVE CITY... GROVEPORT... HILLIARD... NEW ALBANY... 6 PATASKALA... 8 PICKERINGTON... POWELL... REYNOLDSBURG... UPPER ARLINGTON... 6 WESTERVILLE... 8 WHITEHALL... WORTHINGTON...

4 - EXECUTIVE SUMMARY The Mid-Ohio Regional Planning Commission (MORPC) is the principal public agency conducting regional transportation studies for the Central Ohio area because it serves as the designated Metropolitan Planning Organization (MPO) for the Columbus Urbanized Area. It covers Franklin County, Delaware County and portions of Licking, Fairfield and Union counties. As an MPO, MORPC must seek to increase the safety of the transportation system for motorized and non motorized users. MPOs must also coordinate with state departments of transportation and local jurisdictions to develop performance measures that aim to realize a significant reduction in traffic fatalities and serious injuries on all public roads. The Local Crash Fact Sheets provide an overview of the transportation safety issues experienced by the individual cities within the MPO Planning Area, along with jurisdiction specific information and trends. The majority of crash data represented within these fact sheets is received from standardized police reports (OH-) that are generated each time a traffic crash occurs and law enforcement responds. The Ohio Department of Public Safety (ODPS) is responsible for compiling, analyzing, and publishing crash data and statistics in the State of Ohio. ODPS works closely with the Ohio Department of Transportation (ODOT) to disseminate this information to various safety partners within the state for the purposes of identifying transportation safety issues and determining which strategies seem most appropriate to address them, whether they be engineering, education, enforcement, or emergency services. The information that follows is meant to provide a quick glance of crash statistics and top crash locations in Central Ohio s Cities, as well as provide insight into opportunities for further reducing serious injuries and fatalities.

5 - LOCAL CRASH COMPARISON SECTION

6 - LOCAL CRASH STATISTICS Between and almost, crashes were reported within Central Ohio s cities. While the majority were reported as property damage only (PDO), around percent (,9) resulted in either loss of life or serious, life changing injuries. KEY FACTS: Around 8 percent of the crashes occurring within the Central Ohio region over the last five years occurred within the various corporate city boundaries. percent of these 9,68 crashes resulted in at least one fatal or serious injury to those involved. Over 7 percent of these crashes occurred in the City of Columbus alone. On average around.6 fatal & serious injury crashes occurred for every, residents. Across all cities, angle, fixed-object, rear-end, and pedestrian crashes accounted for the last number of fatal and serious injuries AVERAGE New Albany Groveport Whitehall Worthington Delaware Dublin Columbus Reynoldsburg Pickerington Westerville Grove City Hilliard Bexley Gahanna Upper Arlington Pataskala Powell Canal Winchester Grandview heights FATAL & SERIOUS INJURY PER, POPULATION CRASH FREQUENCY AND SEVERITY (-) CITY FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury Backing Overturning Head On - Meeting Parked Vehicle Pedalcycles - Passing Left Turn Pedestrian Rear End Fixed Object Angle Whitehall New Albany Columbus Worthington Delaware Dublin Groveport Pickerington Reynoldsburg Grove City Westerville Pataskala Hilliard Upper Arlington Bexley Powell Gahanna Canal Winchester Grandview Heights FATAL & SERIOUS INJURY PER, POPULATION BY CRASH TYPE PDO FSI RATE Columbus,,9,7, 8,.9% Dublin, ,6.7% Delaware, ,866.8% Hilliard,9,6.% Gahanna, 9 8 6,.% Westerville, ,9.% Grove City,9-7 6,6.8% Reynoldsburg,9 6 8,.% Whitehall, ,89.% Pickerington, ,66.% Worthington, ,.% Upper Arlington, ,.% Bexley, % New Albany % Pataskala % Powell % Grandview heights Canal Winchester % % Groveport % 9,68 9,66 6,6 7,7,6.%

7 - DELAWARE «9 FATAL & SERIOUS INJURY BY JURISDICTION ( TO ) «LEGEND «7 DELAWARE 6 ««6 «66 Number of County Boundary MORPC Transportation Planning Area Rivers/Water UNION «7 DUBLIN 7 POWELL WORTHINGTON «7 7 «7 WESTERVILLE DELAWARE FRANKLIN «6 «6 NEW ALBANY Railroads Streets HILLIARD ««GAHANNA UPPER ARLINGTON PATASKALA 67 GRANDVIEW «7 HEIGHTS BEXLEY 6 WHITEHALL REYNOLDSBURG 7 LICKING ««66 7 GROVE CITY «COLUMBUS «7 GROVEPORT CANAL WINCHESTER PICKERINGTON FAIRFIELD «67 FRANKLIN MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Top

8 - LOCAL CRASH FACT SHEETS SECTION

9 - CITY OF BEXLEY Between and there were,8 crashes reported within the City of Bexley. Close to, people were involved in these crashes, of which were fatally injured and 6 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with occurring, followed by parked vehicle crashes with 86, and angle crashes with. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 6 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 7 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % % % %.9.6 -Year 87,8 6 7,, Annual Average %..8 Percent Change ( to ).% 7.8%.7% 7.9%.%.% -.8%.7%.% 9.%.% 99.8% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved From to, there were a total of,8 crashes reported within the City of Bexley involving close to, people Bicycle (pedalcycle) crashes represented the ninth most frequent crash type, but ranked the highest in the fatal and serious injury rate ( percent) CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury FSI RATE Rear End 7 8.% Parked Vehicle % Angle - 6.% Backing % Fixed Object % - Passing % Left Turn % Pedestrian 7 -.9% Pedalcycles - 6.% Head On % - Meeting % Other Object % Animal % Overturning % Other Non-Collision %, %

10 - E Main St College Ave E Main St College Ave TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF BEXLEY LEGEND: S Parkview Ave N Parkview Ave Maryland Ave S Parkview Ave N Parkview Ave S Cassady Ave N Cassady Ave Maryland Ave «6 S Cassady Ave N Cassady Ave «6 High Crash Density Low Crash Density Local High Crash Regional High Crash Crash N Cassady Ave «6 N Cassady Ave «6 College Ave College Ave RANK LOCATION ANNUAL EPDO PDO E Main College Ave E Main St / S exel Ave / US E Main St / Pleasant Ridge Ave E Main St / Euclaire Ave E Broad St / SR N Cassady Ave MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Bexley.mxd

11 - CITY OF CANAL WINCHESTER Between and there were 76 crashes reported within the City of Canal Winchester. Close to, people were involved in these crashes, of which were fatally injured and 6 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with 6 occurring, followed by fixed-object crashes with 7, and sideswipe-passing crashes with 66. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 8 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % % % %.97. -Year ,9, Annual Average %.8 Percent Change ( to ) -.% 66.7% 87.% 96.% -.%.%.% 76.6% 7.%.% -.8% -.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Rear end crashes accounted for almost half of all crashes, fortunately, less than percent resulted in a fatal or serious injury From to the amount of crashes has almost doubled from 8 to 6 96 percent of the, people involved had no injuries CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End 6 6.8% Fixed Object % - Passing % Angle % Parked Vehicle 6 -.8% Left Turn -.% Backing % - Meeting % Animal % Other Non-Collision % Head On % Overturning - -.% Other Object % Unknown % Pedestrian % Pedalcycles % % Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

12 - «67 «67 Winchester «67 «67 «67 «67 «67 «67 Winchester Blvd Blvd TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF CANAL WINCHESTER LEGEND: Oregon Dietz W Waterloo St Dietz W Waterloo St St Washington St Washington Pfiefer Pfiefer N High St E Waterloo St High St N High St Bowen E Waterloo St High St Bowen Busey Busey Diley Diley Hill Hill High Crash Density Low Crash Density Local High Crash Regional High Crash Crash «67 «67 Oregon RANK LOCATION ANNUAL EPDO PDO Gender / SR Winchester Blvd Gender / SR W Waterloo St Gender / SR Groveport Pike W Walnut St Gender / SR Canal St MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Canal_Winchester.mxd

13 - CITY OF COLUMBUS Between and there were, crashes reported within the City of Columbus. Close to 9,8 people were involved in these crashes, of which 6 were fatally injured and,8 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with,9 occurring, followed by angle crashes with 8,7, and sideswipe-passing crashes with 6,97. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS:,,,,,, CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population,79 6,78,7 6 77,, 7,7.8% ,6 6,,9 9 7,, 7,9.6% ,8,,,7 8,8,99.% , 7,9,977 8,, 9,7.% ,78 8,768,99 8 9,6 6,7 6,98.% Year 7,8 8,8, 6,8 7,88 7,7 9,77 Annual Average 8,6 6,89, 7,76,69 8,.9%.66 6 Percent Change ( to ).% 6.%.%.%.%.6%.%.8%.%.7% -.%.8% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Fixed-object crashes accounted for 9 percent of total crashes, but accounted for the largest share of fatal and serious injury crashes (8 percent) Almost one out of every six pedestrian crashes reported resulted in a fatal and serious injury CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury FSI RATE Rear End,9 9,6,979 7,7.9% Angle 8,7 6 7,799,77,96.9% - Passing Parked Vehicle 6,97 6,9,9,778.9%, ,6.6% Fixed Object,7 66,7 96 7,.9% Left Turn 6, 6 9, 9,9.% Backing,9 9,8.% - Meeting, 6 9,66.% Pedestrian, 6 86, % Other Non-Collision,98 7 9,66.% Pedalcycles % Head On % Other Object % Animal % Overturning % Unknown 8.% Train 6 6.7%,,9,7, 8,.9%

14 - «6 «6 N James S James N James S James Brice Brice «6 «6 Tussing Tussing TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF COLUMBUS LEGEND: Nike Nike Atlas St Hall Walcutt Alkire Frantz Atlas St Hall Walcutt Alkire Holt Frantz Dublin N Wilson Holt Sawmill Dublin N Wilson Sawmill 7 Hard Bethel Mckinley Ave North Star Sullivant Ave 7 Hard W Mound St Bethel Mckinley E Cooke Ave North Star Vine Sullivant Ave Cannon Ave Neil Ave St N High St W Mound St Harmon Park E Th Ave E Gay St S Front St GeminiPl Lazelle E Cooke Saint Clair Ave Karl E Weber 7 E Hudson St Vine Cannon Ave Neil Ave St N High St Harmon Joyce Ave E Long Oak St E Main St Mooberry St E Whittier St Marion Corr Park E Th Ave E Gay St S Front St 67 St Frebis Ave GeminiPl Lazelle 7 Saint Clair Ave Mock S Nelson «Karl E Weber E Hudson St 7 Watkins Williams Joyce Ave E Long Oak St Easton Way E Main St Mooberry St E Whittier St St E Th Ave Frebis Ave S James Marion Corr 67 Broadview Morse Mock «S Nelson 7 Groves Watkins Williams Easton Way «6 E Th S James «6 Ave Morse 7 Groves Refugee Broadview Brice «6 «6 7 Refugee High Crash Density Low Crash Density Local High Crash Regional High Crash Brice RANK LOCATION ANNUAL EPDO PDO Cleveland Morse Cleveland Dublin Granville / SR Broad St / SR James Scarborough Blvd / Tussing Gender MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Columbus.mxd

15 - CITY OF DELAWARE Between and there were,66 crashes reported within the City of Delaware. Close to 9, people were involved in these crashes, of which 6 were fatally injured and 7 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with, occurring, followed by fixed-object crashes with 79, and angle crashes with 66. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population ,78,89.% ,7,798.% ,696,778.8% ,6,7.6% ,7,8.7%.6.7 -Year 76,866, , 8,97 Annual Average ,79,79.%.6 6 Percent Change ( to ).%.%.%.8%.% -9.%.%.6%.% 6.7% -.% -.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Rear end crashes were the highest reported crash type, fortunately, only. percent resulted in a fatality or serious injury Close to percent of reported pedestrian crashes and percent of reported bicycle (pedalcycle) crashes resulted in a fatality or serious injury CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury FSI RATE Rear End, % Fixed Object % Angle % Parked Vehicle - Passing % 7-8.8% Backing % Left Turn 9 7.7% Animal % Pedestrian 6.% - Meeting Other Non-Collision -.9% % Pedalcycles - 9.9% Other Object % Head On % Overturning - -.% Unknown % Train %% Other Non-Vehicle %%, ,866.8%

16 - Elizabeth St N Union St Elizabeth St W Winter St Spring St N Union St W Winter St Spring St S Sandusky St S Sandusky St S Liberty St S Liberty St S Henry St S Henry St E Winter St E Winter St N Washington St N Washington St Spring St Spring St N Union St N Union St TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF DELAWARE LEGEND: SHouk SHouk Pittsburgh Pittsburgh Troy Troy Pennsylvania Ave Liberty Pennsylvania Ave Euclid Ave Liberty Euclid Ave W Lincoln Ave W Lincoln Ave Spring St Park Ave Belle Ave S Sandusky St Stratford S Henry St Spring St Park Ave Belle Ave S Sandusky St Stratford S Henry St North St North St High Crash Density Low Crash Density Local High Crash Regional High Crash Crash ««Glenn Pkwy Glenn Pkwy RANK LOCATION Sandusky St / US E William St / US 6 ANNUAL EPDO PDO Liberty W William St / US Columbus Pike / US N Henry E William St / US Kilbourne / Sunbury / US MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Delaware.mxd

17 - CITY OF DUBLIN Between and there were,8 crashes reported within the City of Dublin. Close to,8 people were involved in these crashes, of which 8 were fatally injured and suffered serious injury. Rear end crashes were the most prevalent crash type reported, with,89 occurring, followed by angle crashes with 68, and sideswipepassing crashes with 6. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS:, CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population ,6,66 7.% ,,8 8.7% ,6,7 6.8% ,8,.% ,6, 8.% Year 8,8,6,8 8,7,766 Annual Average ,, 8.%.68 6 Percent Change ( to ).%.9% 9.8%.8%.%.8%.6%.6% 6.%.% 7.%.7% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Fixed-object crashes accounted for percent of all fatal crashes Over percent of reported pedestrian and bicycle (pedalcycle) crashes resulted in a fatality or serious injury CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End, ,9.% Angle % - Passing % Fixed Object % Left Turn % Parked Vehicle % Backing % Other Non-Collision % Animal % - Meeting - 6.7% Unknown % Other Object -.% Pedalcycles % Head On 8.7% Overturning % Pedestrian - 8.% Train %, ,6.7% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

18 - Hospital Post Hospital Post Frantz Frantz Perimeter Avery-Muirfield Perimeter Avery-Muirfield «7 ««6 7 «6 TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF DUBLIN LEGEND: Corazon Corazon Eiterman Manley Mitchell Dewitt Manley Mitchell Dewitt Eiterman Tullymore Wynford Shier-Rings Tullymore Wynford Post Shier-Rings Muirfield Post Carnoustie Memorial Dublinshire Sells Mill TaraHill Glick Brand Brandonway Coffman BlazerPkwy Hard «6 Monterey S High St Dale Summit View Tuller Houchard Rings Avery Wilcox Muirfield Carnoustie Memorial Dublinshire Sells Mill TaraHill Wilcox Woerner-Temple Glick Brand «7 Brandonway Coffman 7 BlazerPkwy «7 7 Monterey S High St Dale Summit View Hard Tuller «6 High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Emerald Pkwy Emerald Pkwy Houchard Rings Avery Woerner-Temple Frantz Frantz Tuttle Tuttle Corbins Mill Dublin Dublin Corbins Mill RANK LOCATION W Bridge St / Frantz / Post ANNUAL EPDO PDO Perimeter Loop Perimeter E Bridge Riverside / US Bridge St / Corbins Mill MAP 6 The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Dublin.mxd

19 - CITY OF GAHANNA Between and there were, crashes reported within the City of Gahanna. Close to 8, people were involved in these crashes, of which were fatally injured and suffered serious injury. Rear end crashes were the most prevalent crash type reported, with,87 occurring, followed by sideswipe-passing and fixed-object crashes with 9. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 6 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 8 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population 9,,79.7% ,66,679.7% ,6,68.% ,9,6 9.% ,7,8 9.%.. -Year 69,, 6 7,98 8,9 Annual Average ,97,68.6%.7 Percent Change ( to ) -.% -.% 8.9%.% -%.% -.9%.%.7% -.%.7% 99.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Fixed-object crashes accounted for percent of total crashes, but accounted for the largest share of fatal and serious injury crashes (9 percent) Almost one out of every four pedestrian crashes resulted in a fatal or serious injury CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End,87-77,6.% - Passing 9 -.% Fixed Object 9 6.% Angle % Parked Vehicle % Left Turn 7-8.7% Backing % Animal % Other Non-Collision - Meeting % % Pedalcycles 7-8.7% Pedestrian 6.6% Other Object % Head On % Overturning -.% Unknown - -.% Other Non-Vehicle %, 9 8 6,.% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

20 - Agler 6 N Hamilton Agler 6 «7 TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF GAHANNA LEGEND: Cherry Bottom 6 High Crash Density Low Crash Density Local High Crash Regional High Crash Crash 6 6 N Hamilton «7 S Stygler Morrison «7 Morrison «7 S Stygler 6 6 Mccutcheon Mccutcheon Agler 6 Agler 6 W Johnstown Stygler N W Johnstown Stygler N Cherry Bottom 6 7 Morrison 7 Morrison Taylor Taylor Taylor Station Taylor Station RANK LOCATION ANNUAL EPDO PDO Granville St/ US Stygler Hamilton / SR Havens Corners 6 -. Rocky Fork S N Agler E Johnstown / US N Hamilton MAP 7 The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Gahanna.mxd

21 - CITY OF GRANDVIEW HEIGHTS Between and there were 66 crashes reported within the City of Grandview Heights. Close to, people were involved in these crashes, of which zero were fatally injured and 7 suffered serious injury. Parked vehicle crashes were the most prevalent crash type reported, with 6 occurring, followed by rear end crashes with, and angle crashes with. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 8 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) %.9 - ities and per, population % % % %.7.8 -Year ,7, Annual Average %.8 Percent Change ( to ).%.% 6.% 8.8%.%.% 7.% 8.%.6%.%.7% 8.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Angle crashes accounted for 6 percent of total crashes, but accounted for the largest share of fatal and serious injuries ( percent) There have been zero fatalities due to crashes in the last five years CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE Parked Vehicle PDO FSI RATE % Rear End % Angle - 7 % Fixed Object % Backing - - % - Passing % Left Turn % - Meeting % Pedalcycles % Pedestrian - - % Unknown % Other Object % Other Non-Collision % Head On % Animal % % Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

22 - TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF GRANDVIEW HEIGHTS LEGEND: High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Goodale Blvd Goodale Blvd W St Ave W St Ave Lincoln Lincoln Grandview Ave Grandview Ave Goodale Blvd Goodale Blvd Northwest Blvd Northwest Blvd Oxley Oxley Bobcat Ave Bobcat Ave RANK LOCATION ANNUAL EPDO PDO Dublin / Grandview Ave Grandview Goodale Blvd Grandview Douglas St Grandview Haines Ave Grandview W st Ave MAP 8 The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Grandview_Heights.mxd

23 - GROVE CITY Between and there were,9 crashes reported within Grove City. Close to 8, people were involved in these crashes, of which zero were fatally injured and 66 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with,8 occurring, followed by angle crashes with 8, and fixed-object crashes with. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population ,8,69.% ,,6.% ,,6.9% ,,7 8.7% ,6,7 6.%.7.9 -Year - 88,6, ,6 8, Annual Average ,,67 6.8%.6 Percent Change ( to ).%.% 7.%.%.%.% -.% 6.% 6.%.8% 9.9% 9.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved One in four pedestrian crashes resulted in either a fatal or serious injury Although rear end crashes accounted for highest crash frequency of all types, only. percent resulted in a serious injury CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End, % Angle % Fixed Object - 8.6% - Passing % Left Turn % Parked Vehicle % Backing % - Meeting % Animal % Head On % Other Non-Collision % Pedestrian 8-7.% Pedalcycles -.% Other Object % Overturning % Unknown %,9-7 6,6.8% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

24 Buckeye Pkwy LOCAL CRASH FACT SHEETS Marlane Gantz Gantz Home Marlane Home TOP LOCAL HIGH CRASH LOCATIONS ( TO ): GROVE CITY LEGEND: Demorest Demorest Rensch Rensch Haughn Richard Ave Parlin Columbus St Haughn Richard Ave Kingston Parlin Columbus St Kingston Ave Hoover Ave Hoover Home Home Southwest Southwest Gantz Blvd Mcdowell Blvd Mcdowell Gantz Buckeye Pkwy Marlane Marlane Stringtown Stringtown High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Mcdowell 6 6 Mcdowell Seeds Seeds N Meadows N Meadows «66 «66 RANK LOCATION ANNUAL EPDO PDO Stringtown Broadway / Harrisburg Pike / US Home Stringtown - 6. Stringtown Southwest Broadway / US MAP 9 The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Grove_City.mxd

25 - CITY OF GROVEPORT Between and there were 6 crashes reported within the City of Groveport. Close to, people were involved in these crashes, of which was fatally injured and suffered serious injury. Rear end crashes were the most prevalent crash type reported, with 68 occurring, followed by angle crashes with 9, and left turn crashes with 6. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 8 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % % % % Year ,9,7 Annual Average %.96 8 Percent Change ( to ) -.%.% -.7% 6.% -.%.% 8.% 6.9%.% 9.% 66.% 86.8% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Between to there was only one fatal crash reported, and it was pedestrian related Rear end crashes made up percent of the total crashes occurring between - In, over 8 percent of all crashes resulted in an injury CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End % Angle 9-8.7% Left Turn % Fixed Object - -.8% - Passing Parked Vehicle % % Backing % Animal % - Meeting % Head On % Pedalcycles % Unknown % Pedestrian -.% Other Non-Collision % Overturning - -.% Other Object % Train % % Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

26 - Bixby «7 Groveport Bixby «7 «7 Groveport «7 Hamilton Main St «7 «7 Hamilton Main St TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF GROVEPORT LEGEND: Rohr Bixby Bixby «7 «7 College St «7 College St Front St Wirt «7 Front St Wirt High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Spiegel Rohr Pontius Port Spiegel Pontius «7 «7 Port RANK LOCATION ANNUAL EPDO PDO Hamilton / SR Main St / London Groveport / SR Firehouse Hamilton / SR Green Pointe Green Pointe S Directors Hamilton / SR MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Groveport.mxd

27 - CITY OF HILLIARD Between and there were,9 crashes reported within the City of Hilliard. Close to 8,6 people were involved in these crashes, of which were fatally injured and suffered serious injury. Rear end crashes were the most prevalent crash type reported, with, occurring, followed by angle crashes with 89, and fixed-object crashes with. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 8 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population ,7,98.7% ,67,779.% ,66,7.% ,,.% ,8,9.%..8 -Year 786,6,9 8, 8,6 Annual Average ,68,7.%.8 Percent Change ( to ) %.%.7%.7% % -.%.%.8%.7%.7% -8.% -6.8% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Close to half as many fixed-object crashes occurred as rear end crashes, however, they resulted in many more fatal and serious injury crashes In Hilliard saw the fewest number of crashes within years and had zero fatalities CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End, 87.% Angle % Fixed Object 7.9% - Passing Parked Vehicle % 7 7.8% Backing % Left Turn % - Meeting Other Non-Collision % - 6.% Animal % Pedalcycles % Head On - 8.% Pedestrian % Other Object % Overturning 7 -.% Unknown % Train %,9,6.% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

28 - Cemetery Cemetery Main St Main St Scioto Darby Main St TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF HILLIARD LEGEND: Cosgray Avery Wilcox Wilcox Britton Pkwy Davidson 7 High Crash Density Low Crash Density Local High Crash Dublin Dublin Regional High Crash Crash Trueman Britton Pkwy Scioto Darby Britton Pkwy Main St Davidson Cosgray Avery Main St Northwest Pkwy Cemetery Northwest Pkwy Britton Pkwy Leap Davidson 7 Trueman Blvd Blvd Britton Pkwy Davidson Frazell Main St Scioto Darby Cemetery Scioto Darby Leap Britton Pkwy Britton Pkwy Cemetery Frazell RANK Britton Pkwy Cemetery LOCATION ANNUAL EPDO PDO Main St Main Scioto Darby Britton Davidson Lyman Britton Pkwy/Parkway Ln MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Hilliard.mxd

29 - CITY OF NEW ALBANY Between and there were 97 crashes reported within the City of New Albany. Close to, people were involved in these crashes, of which was fatally injured and 8 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with occurring, followed by angle crashes with 8, and fixedobject crashes with 78. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 6 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 8 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % % % % Year ,,9 Annual Average %. 9 Percent Change ( to ) -% 67.7% 6.7% 6.% -% 6.7%.%.%.% -.6% -9.% -.8% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Between to the frequency of crashes steadily increased in the City of New Albany Bicycle (pedalcycle) crashes were the least frequent crash type, but had the highest fatal and serious injury rate CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End % Angle 8-9.9% Fixed Object 78.% Animal 7 -.9% - Passing % Left Turn % Backing % Parked Vehicle - Meeting Other Non-Collision % % % Overturning % Pedestrian - -.% Other Object % Head On - -.% Pedalcycles % % Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

30 - Greensward Walton Pkwy 6 Greensward 6 Walton 6 Smiths Mill «6 S High St E «6 Pkwy Smiths Mill S High St «6 6 6 E Granville «6 6 Granville St St TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF NEW ALBANY LEGEND: Greensward Greensward Thompson Thompson «6 Fodor Fodor 6 6 Fenway Market St Fenway New Albany «6 Market St New Albany Walton E Walton E Pkwy Pkwy Bevelhymer Bevelhymer E Dublin-Granville Kitzmiller E Dublin-Granville Kitzmiller Smiths Mill Smiths Mill Beech Nw Worthington Beech Nw Worthington Morse Nw Sw Nw High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Morse Sw RANK LOCATION Johnstown / US Walton Pkwy / Smith s Mill ANNUAL EPDO PDO E Main St / US N High St Central New Albany-Condit / SR 6 Johnstown / US Central New Albany E MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\New_Albany.mxd

31 - CITY OF PATASKALA Between and there were 68 crashes reported within the City of Pataskala. Close to,6 people were involved in these crashes, of which were fatally injured and 6 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with occurring, followed by fixed-object crashes with, and angle crashes with. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 8 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % % % % Year ,,6 Annual Average %.68 Percent Change ( to ) % 9.%.8% 8.% % -7.% 6.9%.%.%.% -6.9% -6.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved While rear end crashes occurred more than any other crash type, it was the second lowest in fatal and serious injury rate While only 88 crashes were reported between and, more crashes likely occurred CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End % Fixed Object % Angle - 8.% Animal % - Meeting % Left Turn % Backing % - Passing Parked Vehicle Other Non-Collision % % % Head On 6-6.7% Unknown % Pedestrian % Overturning % Pedalcycles % Other Object % % Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

32 - «6 «6 ««6 Township ( «6 «««6 Township ( «6 ««6 TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF PATASKALA LEGEND: Taylor Sw Taylor Sw Havens Corners Sw Havens Corners Sw Summit Sw Summit Sw «6 «6 Mink St Sw Mink St Sw Cable Sw Cable Sw Columbia Sw Columbia Sw Headleys Mill Headleys Mill Courter Sw Courter Sw Sw Hollow Sw Sw Hollow Sw Mcintosh Sw Mcintosh Sw ««Blacks Blacks High Crash Density Low Crash Density Local High Crash Regional High Crash Crash «6 «6 «6 RANK LOCATION ANNUAL EPDO PDO E Broad St / SR Taylor E Broad St / SR Hazelton-Etna E Broad St / SR Mink St SW Hazelton-Etna / Refugee E Broad St / SR Watkins MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\ City_Maps\Pataskala.mxd

33 - CITY OF PICKERINGTON Between and there were,98 crashes reported within the City of Pickerington. Close to, people were involved in these crashes, of which were fatally injured and 7 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with 97 occurring, followed by angle crashes with, and sideswipe-passing crashes with. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 8 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % ,,.% ,78,.% ,,8 6.%.. -Year,66,98 7 7,6,7 Annual Average ,, 6.%.6 Percent Change ( to ) -%.7%.7%.% -% -.% -.%.7%.8% -.% -7.9% -.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Close to percent of pedestrian crashes and 67 percent of bicycle (pedalcycle) crashes resulted in a fatality or serious injury Rear end crashes accounted for almost half of the total crashes between to within the City of Pickerington CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End % Angle -.8% - Passing.9% Fixed Object % Left Turn % Parked Vehicle % Backing % Animal % - Meeting Other Non-Collision - 7.% % Pedestrian 6-8.% Head On - 6.% Other Object % Pedalcycles % Overturning - -.% Unknown %, ,66.% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

34 - Tussing Tussing «6 ««6 «6 «6 «TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF PICKERINGTON LEGEND: «6 «6 High Crash Density Low Crash Density Local High Crash Regional High Crash Crash «6 «6 Diley North Diley North Long Long N Center St N Center St «6 «6 Diley W Columbus Diley W St Columbus St Hill South Hill South «6 Lockville «6 Lockville «6 «6 RANK LOCATION Hill / SR Blacklick Eastern /Tussing / SR ANNUAL EPDO PDO Hill North / SR Refugee Hill North/ SR Stonecreek Nw Hill North / SR Birchwood St Hill North / SR Cross Creeks Blvd MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Pickerington.mxd

35 - CITY OF POWELL Between and there were 6 crashes reported within the City of Powell. Close to, people were involved in these crashes, of which was fatally injured and suffered serious injury. Rear end crashes were the most prevalent crash type reported, with occurring, followed by fixed-object crashes with, and angle crashes with 8. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % % % %.7.7 -Year ,6,6 Annual Average %.7 Percent Change ( to ).%.%.% 8.7%.% -.%.% -.%.6% -8.% -.% -.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Only five crash types had fatal and serious injuries, which is fairly uncommon The number of crashes and their severity has remained relatively constant for the last five years Angle crashes accounted for half of all fatal and serious injuries CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End % Fixed Object 99.8% Angle % Backing % Parked Vehicle % Animal % - Passing % Left Turn -.8% - Meeting % Pedalcycles 8 -.% Other Non-Collision % Other Object % Pedestrian % Head On % Unknown % Overturning % % Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

36 - N Liberty St S Liberty St Sawmill Pkwy N Liberty St S Liberty St Sawmill Pkwy TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF POWELL LEGEND: Sawmill Pkwy Sawmill Pkwy High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Sawmill Pkwy Sawmill Pkwy N Liberty St S Liberty St N Liberty St S Liberty St ««7 7 RANK LOCATION ANNUAL EPDO PDO Powell / SR Liberty St Sawmill Galloway W Olentangy St / SR Depot St Sawmill Rutherford Bennett W Powell / SR MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\ City_Maps\Powell.mxd

37 - CITY OF REYNOLDSBURG Between and there were,9 crashes reported within the City of Reynoldsburg. Close to 7,8 people were involved in these crashes, of which were fatally injured and 7 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with,8 occurring, followed by angle crashes with 68, and sideswipe-passing crashes with 77. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: 7 6 CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population 9 6 6,8,7.6% ,8,9.% ,69,677.6% ,,7.% ,8,69.8%.6.6 -Year 686,, , 7,86 Annual Average 7 8 6,8,6.7%.9 Percent Change ( to ) %.%.6%.9% %.% -.% 9.% 7.9%.9% -.% 8.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Close to 7 percent of pedestrian crashes and 6 percent of bicycle (pedalcycle) crashes resulted in a fatality or serious injury Pedestrian crashes accounted for half of the total fatalities occurring within the City of Reynoldsburg CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End, % Angle 68-6.% - Passing Parked Vehicle % 6 -.% Fixed Object % Left Turn % Backing % - Meeting - 8.6% Pedestrian % Pedalcycles % Head On.% Animal % Other Non-Collision % Unknown 7-8.6% Overturning % Other Object %,9 6 8,.% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

38 - TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF REYNOLDSBURG LEGEND: High Crash Density Low Crash Density Local High Crash Regional High Crash Crash RANK LOCATION Baltimore-Reynoldsburg / SR Taylor ANNUAL EPDO PDO Livingston Ave E Main St / US E Main St / US Baltimore-Reynoldsburg / Lancaster Ave /SR E Livingston Ave MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Reynoldsburg.mxd

39 - CITY OF UPPER ARLINGTON Between and there were,689 crashes reported within the City of Upper Arlington. Close to,7 people were involved in these crashes, of which was fatally injured and suffered serious injury. Angle crashes were the most prevalent crash type reported, with occurring, followed by rear end crashes with 78, and parked vehicle crashes with 7. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 6 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 8 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population % % % % %..7 -Year 6,,689 68,7,78 Annual Average %.67 Percent Change ( to ) % -9.% -.% -.8% % -.9% -.% -.% -.% 6.6% -.% -8.9% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved The number of crashes occurring within the City of Upper Arlington steadily declined between and One out of every four pedestrian and bicycle (pedalcycle) crashes resulted in a serious injury CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Angle - 7.6% Rear End % Parked Vehicle % Fixed Object % - Passing % Left Turn % Backing 87-8.% - Meeting % Pedalcycles -.% Head On -.% Other Non-Collision - -.% Pedestrian -.% Other Object % Animal % Unknown % Overturning %, ,.% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

40 Reed Reed LOCAL CRASH FACT SHEETS - Northwest Blvd Cambridge Blvd Northwest Blvd Cambridge Blvd TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF UPPER ARLINGTON LEGEND: Stonehaven Lane Coach Stonehaven Dierker Mackenzie Lane Mccoy Coach Dierker Mackenzie High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Mccoy Lytham Lytham Fishinger Fishinger Kioka Ave Canterbury Fishinger Kioka Ave Redding Canterbury Ridgeview Tremont W Lane Ave Coventry Fishinger Redding Northwest Blvd Northam Andover Waltham Cambridge Ridgeview W Lane Ave Coventry Tremont Kenny Northam Andover Northwest Blvd North Star Waltham Cambridge Blvd Kenny North Star Blvd W Th Ave W Th Ave RANK LOCATION Riverside / Cambridge Blvd / Trabue ANNUAL EPDO PDO Northwest Blvd W Lane North Star Northwest Zollinger Fishinger /Bricker Kenny MAP 7 The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\Upper_Arlington.mxd

41 - CITY OF WESTERVILLE Between and there were,6 crashes reported within the City of Westerville. Close to 8, people were involved in these crashes, of which were fatally injured and 7 suffered serious injury. Rear end crashes were the most prevalent crash type reported, with, occurring, followed by angle crashes with 6, and fixedobject crashes with 8. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) 8 CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population ,, 6.8% ,,.% ,68,799.% ,67,7.% ,8,9.9%..6 -Year 87,9, ,6 8,9 Annual Average ,,6 8.6%.69 Percent Change ( to ) -%.% 9.6% 6.% -%.% -7.% 6.% 6.% -.% -.% -.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Although almost half as many angle crashes as rear-end crashes occurred, they were more likely to result in a fatal and serious injury crash From to the frequency of crashes steadily increased in the City of Westerville CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury FSI RATE Rear End, % Angle % Fixed Object % - Passing Parked Vehicle 7-6.% % Left Turn % Backing % Animal 66-6.% - Meeting - 7.6% Pedestrian % Head On - 7.% Pedalcycles % Other Non-Collision % Other Object % Overturning % Unknown %, ,9.%

42 - «W Schrock Polaris Pkwy Polaris Pkwy Cleveland Ave «W Schrock «Polaris Pkwy Polaris Pkwy Cleveland Ave «TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF WESTERVILLE LEGEND: W Main St W Main St Cleveland Ave Cleveland Ave Africa County Line W N West St Africa County Line W N West St W Schrock W Schrock Otterbein Ave S Otterbein Ave E Schrock County Line Otterbein Ave S Otterbein Ave E College Ave Walnut St E Schrock Huber Village Blvd County Line Maxtown S Spring N Spring E College Ave Walnut St Huber Village Blvd E Walnut St S Hempstead Maxtown S Spring N Spring E Walnut St S Hempstead Sunbury High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Sunbury RANK LOCATION ANNUAL EPDO PDO State St / SR Polaris Worthington N Cleveland Polaris Pkwy Heatherdown / Huber Village S State St / SR County Line N Cleveland Ave MAP 8 The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\City_Maps\Westerville.mxd

43 - CITY OF WHITEHALL Between and there were,67 crashes reported within the City of Whitehall. Close to 7, people were involved in these crashes, of which 8 were fatally injured and 7 suffered serious injury. Angle crashes were the most prevalent crash type reported, with 77 occurring, followed by rear end crashes with 69, and sideswipepassing crashes with 88. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: 7 6 CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage ities & ities No People Involved Rate Severity (EPDO) ities and per, population ,99,.8% ,7,9.% ,69,6.% ,,9 6.% ,8, 8.8%.. -Year 8 8,89, ,8 7,9 Annual Average 6 7 7,6,.%.6 7 Percent Change ( to ) -.% -.%.%.8% -.% -.8% -.%.% -.% -.6% -7.% -.% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved While pedestrian crashes accounted for percent of total crashes, they accounted for the largest share of fatal and serious injury crashes ( percent) -passing was the third most frequent crash type, however, they resulted in no fatalities or serious injuries CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Angle % Rear End % - Passing % Left Turn % Fixed Object % Parked Vehicle 77 -.% Backing % Pedestrian % - Meeting Other Non-Collision % % Pedalcycles % Head On - 7.% Other Object % Animal % Overturning % Unknown %, ,89.% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

44 N N LOCAL CRASH FACT SHEETS - «6 «7 «6 «7 «7 «7 S Yearling S Yearling «6 «6 TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF WHITEHALL LEGEND: Robinwood Ave Robinwood Ave «6 «6 S Yearling Yearling S Yearling Yearling «7 Fairway Blvd «7 «7 Fairway Blvd «7 Country Club Country Club High Crash Density Low Crash Density Local High Crash Regional High Crash Crash RANK LOCATION E Broad St / SR Hamilton / SR 7 E Main St / Hamilton / SR 7 ANNUAL EPDO PDO E Broad St / SR N Yearling E Main St / Fountain Ln E Main St / Country Club - 6. MAP 9 The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\ City_Maps\Whitehall.mxd

45 - CITY OF WORTHINGTON Between and there were,9 crashes reported within the City of Worthington. Close to,8 people were involved in these crashes, of which were fatally injured and suffered serious injury. Rear end crashes were the most prevalent crash type reported, with 76 occurring, followed by sideswipe-passing crashes with 8, and angle crashes with 9. CRASH TRENDS BY YEAR ( TO ) YEAR KEY FACTS: CRASH TRENDS BY YEAR ( - ) CRASH STATISTICS OCCUPANT STATISTICS SAFETY METRICS ities & Property Damage 8 6 ities & ities No People Involved Rate Severity (EPDO) ities and per, population % ,9 6.9% % ,8,8.% %..68 -Year 98,,9 7,66,87 Annual Average %.9 6 Percent Change ( to ).%.%.% 6.%.% -6.6% -7.%.% 8.6% -.% -.% -.6% Shaded orange cells indicate the year with the highest value for each respective column. Equivalent Property Damage Only (EPDO) is calculated by the following formula: [{(ities+) x 7.6)}+( x 6.)+( x.)+no ]/PeopleInvolved Close to percent of pedestrian crashes and percent of bicycle (pedalcycle) crashes resulted in a fatality or serious injury Fixed-object crashes occurred far less frequently than rear end crashes, but still resulted in the same amount of serious injuries CRASH TYPE BY FREQUENCY AND SEVERITY CRASH TYPE PDO FSI RATE Rear End % - Passing % Angle % Fixed Object % Parked Vehicle 8 -.% Left Turn % Backing 66-6.% Animal % - Meeting Other Non-Collision % -.% Pedestrian - 6.9% Pedalcycles % Head On % Overturning % Other Object % Unknown %, ,.% Shaded yellow cells indicate the crash type with the highest value for each respective column. FSI Rate refers to the percentage of crashes resulting in a fatality or serious injury

46 - «6 «6 «6 TOP LOCAL HIGH CRASH LOCATIONS ( TO ): CITY OF WORTHINGTON LEGEND: Linworth «W Wilson Bridge W Wilson Bridge E Wilson Bridge Worthington Galena Schrock E Wilson Bridge Worthington Galena High Crash Density Low Crash Density Local High Crash Regional High Crash Crash Proprietors Schrock Huntley «6 «6 «6 Linworth Olentangy River «Olentangy River «6 «6 Proprietors Huntley Schrock Schrock RANK LOCATION ANNUAL EPDO PDO N High St / E Wilson Bridge Dublin Granville / SR N High St / US E Dublin Granville / SR Hartford St W Dublin Granville / SR Evening St Huntley MAP The information shown on this map is compiled from various sources made available to us which we believe to be reliable. N:\ArcGIS\CORE\O&M\Safety\Crash_Fact_Sheets\_\ City_Maps\Worthington.mxd