Lake Erie

DISTRICT 11

DISTRICT 12

DISTRICT 3

SR-82ELM

SR-619

WH

IPPL

E

MARKET

DAR

ROW

SR-1 72

CLEVELAND

AKRO

N

MAIN

PORTAGE

RIVE

RLA

KESR-261

SR-4

3

US-422

SR-14

SR-5

SR-8

RIDGE

US-62

TOD

SR-59

SR-21

US-250

KENT

WOOS TER

MAN

CHES

T ER

PARKMAN

LIN COLN

HIGH

US-30

US-224

STATE

SR-6

16

MA

SSI L

LON

SR-4

6

CENTER

SR

-2

41

ELM

RD

SR-4

4

SR-1

1

SR- 7

WV

PA¥¥80

¥¥490

¥¥480

¥¥77

¥¥76

¥¥271

¥¥680

¥¥71

¥¥90

¥¥90

¥¥90

Massillon

Kent

Barberton

Green

CuyahogaFalls Stow

Hudson

CONNEAUT

ALLIANCE

AKRON

WARREN

YOUNGSTOWN

CANTON

EQUITY ANALYSIS | DISTRICT 4 | COMPOSITE EQUITY SCOREOHIO DOT STATEWIDE BIKE AND PEDESTRIAN PLAN

Data provided by ODOT, Open Street Map, and the US Census Bureau.

DRAFT July 2019

I0 8 16MILES

HIGH MEDIUM LOW

What is an Equity Analysis?The Composite Social Equity tiers reflect the concentration of seven social groups:

Poverty, Older Adults, Youth, Educational Attainment, Minority Groups, Limited English Proficiency, and Access to a Motor Vehicle

A higher tier represents a higher relative concentration of these groups.

Lake Erie

DISTRICT 11

DISTRICT 12

DISTRICT 3

SR-82ELM

SR-619

WH

IPPL

E

MARKET

DAR

ROW

SR-1 72

CLEVELAN

D

AKRO

N

MAIN

PORTAGE

RIVE

RLA

KESR-261

SR-4

3

US-422

SR-14

SR-5

SR-8

RIDGE

US-62

TOD

SR-59

SR-21

US-250

KENT

WOOS TER

MAN

CHES

TER

PARKMAN

LIN COLN

HIGH

US-30

US-224

STATE

SR-6

16

MAS

SILL

ON

SR-4

6

CENTER

SR

-2

41

ELM

RD

SR-4

4

SR-1

1

SR-7

WV

PA

¥¥80

¥¥71

¥¥490

¥¥480

¥¥77

¥¥277¥¥76

¥¥271

¥¥680

¥¥90

¥¥90

¥¥90

Massillon

Kent

Barberton

Green

CuyahogaFalls Stow

Hudson

CONNEAUT

ALLIANCE

WARREN

YOUNGSTOWN

CANTON

DEMAND ANALYSIS | DISTRICT 4 | COMPOSITE DEMANDOHIO DOT STATEWIDE BIKE AND PEDESTRIAN PLAN

Data provided by ODOT, Open Street Map, and the US Census Bureau.

DRAFT July 2019

I0 8 16MILES

HIGH MEDIUM LOW

What is a Demand Analysis?The demand analysis is a data-driven process that estimates the cumulative demand for active transportation. This is accomplished by quantifying factors that generate bicycle and pedestrian movement. A composite demand score summarizes the geographic distribution of active transportation demand.

The analysis equally weights each of these variables:Employment, Population Density, Poverty, Retail, Parks, Colleges & Universities, Walk+Bike Commute Share

Walk.Bike.Ohio

Demand

Maintenance Authority

Equity

District Fatal and Severe Crash Rate

Top Crash Types

ODOT DISTRICT 4 PEDESTRIAN SAFETY SNAPSHOT

36% of all pedestrian crashes occur within a high-need area of the district

The most frequent crash types resulting in a pedestrian fatality include:

In District 4, there were 680 severe and 153 fatal pedestrian crashes between 2009 and 2018 accounting for 14% and 14% of the statewide totals respectively. The following sections highlight the pedestrian safety snapshots for District 4:

21% of all pedestrian crashes occur within a high-demand area of the district

73% of all pedestrian crashes in the district occur on roadways maintained by a city or town

Midblock: Dart/ Dash

The pedestrian walked or ran into the roadway and was struck by a vehicle

Walking along Roadway

The pedestrian was walking or running along the roadway and

was struck from the front or from behind by a vehicle

Through Vehicle at Intersection

The pedestrian was struck at a signalized or unsignalized

intersection by a vehicle that was traveling straight ahead

0% 5% 10% 15% 20% 25%

21%

Hig

hLo

w

20%

25%

21%

14%

0% 5% 10% 15% 20% 25% 30% 40%35%

36%

Hig

hLo

w

15%

18%

16%

15%

0 5 10 15 20 25 30 35 40

Other/Private

2%

City/Town73%

CountyHighwayAgency

9%

State16%

In terms of fatal and severe pedestrian crashes between 2009 and 2018, District 4 had:

83 average annual

pedestrian crashes or 5 crashes

for every 100,000 people

in the district,per year.

The demand analysis is a data-driven process that estimates the cumulative demand for active transportation and recreation. More information can be found on the District Demand Map.

The Composite Social Equity tiers reflect the average of seven social groups. More information can be found on the District Equity Map.

Lake Erie

DISTRICT 11

DISTRICT 12

DISTRICT 3

ELM

SR-619

MARKET

CLEV

ELAN

D

DAR

ROW

SR-1 72 EXPRESSWAY

AKRO

N

MAIN

12TH

PORTAGE

RIVE

RLA

KESR-261

US-62

SR-4

3

SR-82

US-422

SR-14

SR-5

SR-8

RIDGE

TOD

SR-59KENT

WOOS TER

MAN

CHES

TER

PARKMAN

LIN COLN

HIG

H

US-30

US-224

STATE

SR-2

1

SR-6

16

MAS

SILL

ON

SR-4

6

CENTER

S R-2

41

ELM

RD

SR-4

4

SR-1

1

SR-7

WV

PA¥¥80

¥¥71

¥¥490

¥¥480

¥¥77

¥¥277¥¥76

¥¥271

¥¥680

¥¥90

¥¥90

¥¥90

Massillon

Kent

Barberton

Green

CuyahogaFalls Stow

Hudson

CONNEAUT

ALLIANCE

WARREN

YOUNGSTOWN

CANTON

SAFETY ANALYSIS | DISTRICT 4 | PEDESTRIAN CRASHES BY BLOCK GROUP

Data provided by ODOT, Open Street Map, and the US Census Bureau.

DRAFT July 2019

I0 8 16MILES

OHIO DOT STATEWIDE BIKE AND PEDESTRIAN PLAN

HIGH LOW ZERONumber of Crashes per Block Group

Walk.Bike.Ohio

Demand

Maintenance Authority

Equity

District Fatal and Severe Crash Rate

Top Crash Types

ODOT DISTRICT 4 BICYCLIST SAFETY SNAPSHOT

29% of all bicyclist crashes occur within a high-need area of the district

The most frequent crash types resulting in a bicyclist fatality include:

In District 4, there were 248 severe and 23 fatal bicyclist crashes between 2009 and 2018 accounting for 13% and 13% of the statewide totals respectively. The following sections highlight the bicyclist safety snapshots for District 4:

16% of all bicyclist crashes occur within a high-demand area of the district

77% of all bicyclist crashes in the district occur on roadways maintained by a city or town

Motorist Overtaking - Failed to Detect

The motorist was overtaking and failed to detect the bicyclist

Ride Out - At Intersection

The crash occurred at an intersection, signalized or uncontrolled, at which

the bicyclist failed to yield

0% 5% 15% 20% 25%10%

16%

Hig

hLo

w

23%

21%

23%

17%

0% 5% 10% 15% 20% 25% 30%

29%

Hig

hLo

w

20%

16%

18%

17%

Other/Private

2%

City/Town77%

CountyHighwayAgency

11%

State10%

In terms of fatal and severe bicyclist crashes between 2009 and 2018, District 4 had:

27 average annual

bicyclist crashes or 2 crashes

for every 100,000 people

in the district,per year.

The demand analysis is a data-driven process that estimates the cumulative demand for active transportation and recreation. More information can be found on the District Demand Map.

The Composite Social Equity tiers reflect the average of seven social groups. More information can be found on the District Equity Map.

Lake Erie

DISTRICT 11

DISTRICT 12

DISTRICT 3

ELM

SR-619

MARKET

CLEV

ELAN

D

DAR

ROW

SR-1 72 EXPRESSWAY

AKRO

N

MAIN

12TH

PORTAGE

RIVE

RLA

KESR-261

US-62

SR-4

3

SR-82

US-422

SR-14

SR-5

SR-8

RIDGE

TOD

SR-59KENT

WOOS TER

MAN

CHES

TER

PARKMAN

LIN COLN

HIG

H

US-30

US-224

STATE

SR-2

1

SR-6

16

MAS

SILL

ON

SR-4

6

CENTER

S R-2

41

ELM

RD

SR-4

4

SR-1

1

SR-7

WV

PA¥¥80

¥¥71

¥¥490

¥¥480

¥¥77

¥¥277¥¥76

¥¥271

¥¥680

¥¥90

¥¥90

¥¥90

Massillon

Kent

Barberton

Green

CuyahogaFalls Stow

Hudson

CONNEAUT

ALLIANCE

WARREN

YOUNGSTOWN

CANTON

DEMAND ANALYSIS | DISTRICT 4 | BICYCLE CRASHES BY BLOCK GROUP

Data provided by ODOT, Open Street Map, and the US Census Bureau.

DRAFT July 2019

I0 8 16MILES

OHIO DOT STATEWIDE BIKE AND PEDESTRIAN PLAN

HIGH LOW ZERONumber of Crashes per Block Group