traffic impacts at charter schools - texas … impacts at charter schools kelly d. parma, ... texas...

TRAFFIC IMPACTSAT CHARTER SCHOOLS

Kelly D. Parma, P.E., PTOE

Lee Engineering, LLC

October 10, 2017

(Source: Texas Charter Schools Association)

CHARTER SCHOOLS VSPUBLIC SCHOOLS

CHARTER SCHOOL STATISTICS -USA

• 1992 – 1st charter school opened (MN)

• Currently >6,000 schools in 43 states

(Source: National Alliance for Public Schools)

CHARTER SCHOOL STATISTICS -TEXAS

1995

• Charter school law enacted



1995


1997

• 20 charter school districts

• 20 charter school campuses

• Approximately 25,000 students



1995


1997




2017




• 13% growth in last 10 years

• Waiting list = 130,000 students



(Source: Texas Education Agency)

CHARTER SCHOOL STATISTICS - DFW

>100 in DFW area (http://www.dfwchild.com/DFWEverything/cat34/Charter-Schools#)

http://www.dfwchild.com/DFWEverything/cat34/Charter-Schools

IMPACTS• Trip Generation

• Peak Hour Factor

• Queuing

DFW DATA COLLECTION

• K-8 Charter School (n=5)Enrollment Range

220 – 1,383 StudentsAverage Enrollment

866 Students

• K-8 Private Schools (n=3)Enrollment Range

441 – 803 StudentsAverage Enrollment

680 Students

Charter: T=1.16(x)

Charter + Private School: T=1.14(x)

Private School: T=1.12(x)

Charter: T=0.69(x)

Charter + Private School: T=0.67(x)

Private School: T=0.63(x)

COMPARISONS TOITE TRIP GENERATION

520 = Elementary School

534 = Private School (K-8)

537 = Charter Elementary School

(n = 3)(n = 10) (n = 8) (n = 3)(n = 5) (n = 5)

(n = 6) (n = 6)(n = 5) (n = 5)

0

100

200

300

400

500

600

700

800

900

1,000

AM(K-8)

PM(K-8)

ITE 534 DFW Charter

928

720 480

552 + 72

+ 208

Comparison to ITE Trip Generation (9th Edition)800 Students (K-8)

0

100

200

300

400

500

600

700

800

900

1,000

AM(K-8)

PM(K-8)

ITE 537 DFW 537

928

816

- 24

+ 112


576

Peak Hour Factor (PHF)

0.600.67

0.63

0.54

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

AMDFW 537

PMDFW 537

Entering Exiting

0.92

IMPACT ONTRAFFIC ANALYSIS

• Higher Trip Generation

• Lower PHF

Comparison to ITE Trip Generation (K-8) 800 Students

0

200

400

600

800

1,000

1,200

1,400

1,600

AM(K-8)

PM(K-8)

ITE 537 DFW 537

928

816 576 - 24

+ 112


Trip Generation + PHF Impact (K-8) 800 Students

0

200

400

600

800

1,000

1,200

1,400

1,600

AM(K-8)

PM(K-8)

ITE 537 DFW 537

1,547

887 626

920+ 294

+ 660

PHF = 0.60

PHF = 0.60

PHF = 0.92 PHF = 0.92

Comparison to ITE Trip Generation (10th Edition)800 Students (K-8) – IMPACT OF PHF

IMPACT ONTRAFFIC ANALYSIS - SYNCHRO

• Higher Trip Generation

• Lower PHF



• Queuing

FACTORS INQUEUING OPERATIONS (PM)

• Arriving Early

• Number of Dismissals

• Time Between Dismissals

• Number of Students in Dismissal

• Grades in Dismissal

FACTORS INQUEUING OPERATIONS (PM)

• Number of Pick-Up Locations

• Distance to Walk to Vehicles

• Staff Assistance/Presence

• Pick-Up Technology Used (if any)

• ***Amount of On-site Queuing Available***

PICK-UP TECHNOLOGIES

QUEUING SUMMARY

Queue Rate

(feet/student)

Number of

Students

Number of

Dismissals

Time Between

Dismissals

(minutes)

Number of

Pick-Up

Locations

1.5 441 3 30 1

2.1 803 2 30 3

3.2 795 2 20 3

4.2 1342 2 30 5

4.8 670 1 - 2

5 800 1 - 3

5.1 815 1 - 1

5.1 1342 2 15 2

QUEUING OPERATION SAMPLE

0

5

10

15

20

25

30

14

:00

14

:05

14

:10

14

:15

14

:20

14

:25

14

:30

14

:35

14

:40

14

:45

14

:50

14

:55

15

:00

15

:05

15

:10

15

:15

15

:20

15

:25

15

:30

15

:35

15

:40

15

:45

15

:50

15

:55

16

:00

16

:05

16

:10

16

:15

16

:20

16

:25

Nu

mb

er

of

Qu

eu

ed

Ve

hic

les

Time

Queued Vehicles

QUEUING RELATIONSHIPS(ENROLLMENT)

3

1

2

1

2

1 2

2

0

1

2

3

4

5

6

0 500 1000 1500

Qu

eue

Rat

e (f

t/st

ud

ent)

Number of Students

# of Dismissals

QUEUING RELATIONSHIPS(NUMBER OF PICK-UP LOCATIONS)

3

1

1

2

2

1

2

2

0

1

2

3

4

5

6

0 1 2 3 4 5 6

Qu

eue

Rat

e (f

t/st

ud

ent)

Number of Pick-Up Locations

# of Dismissals

QUEUING RELATIONSHIPS(NUMBER OF DISMISSALS)

15

30

20

30

30

0

1

2

3

4

5

6

0 1 2 3 4

Qu

eue

Rat

e (f

t/st

ud

ent)

Number of Dismissals

Minutes Between Dismissals

QUEUING ESTIMATES

http://www.ncdot.gov/download/mstaschoolcalculator/SchoolCalculator.xlsx

CONCLUSIONS

• DFW Trip Generation > ITE Trip Generation

• AM: T=1.16(X)

• PM: T=0.69(X)

• Use of Non-Default PHF

• PHF = 0.60

• Queuing Dependent on Operational Factors

• Site-by-site

• Amount of queuing available on site

• Dismissal characteristics

• 4.4 feet/student (estimated)

TRAFFIC IMPACTSAT CHARTER SCHOOLS

Kelly D. Parma, P.E., PTOE

Lee Engineering, LLC

(972) 248-3006

[email protected]

October 10, 2017

traffic impacts at charter schools - texas … impacts at charter schools kelly d. parma, ... texas...

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