TRAFFIC IMPACTS AT CHARTER SCHOOLS - Texas … IMPACTS AT CHARTER SCHOOLS Kelly D. Parma, ... Texas...
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TRAFFIC IMPACTS AT CHARTER SCHOOLS Kelly D. Parma, P.E., PTOE Lee Engineering, LLC October 10, 2017
Transcript of 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
(Source: Texas Charter Schools Association)
CHARTER SCHOOL STATISTICS -TEXAS
1995
• Charter school law enacted
1997
• 20 charter school districts
• 20 charter school campuses
• Approximately 25,000 students
(Source: Texas Charter Schools Association)
CHARTER SCHOOL STATISTICS -TEXAS
1995
• Charter school law enacted
1997
• 20 charter school districts
• 20 charter school campuses
• Approximately 25,000 students
2017
• 183 charter school districts
• 629 charter school campuses
• Approximately 247,000 students
• 13% growth in last 10 years
• Waiting list = 130,000 students
(Source: Texas Charter Schools Association)
CHARTER SCHOOL STATISTICS -TEXAS
(Source: Texas Education Agency)
CHARTER SCHOOL STATISTICS - DFW
>100 in DFW area (http://www.dfwchild.com/DFWEverything/cat34/Charter-Schools#)
IMPACTS• Trip Generation
• Peak Hour Factor
• Queuing
IMPACTS• Trip Generation
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
Comparison to ITE Trip Generation (10th Edition)800 Students (K-8)
576
IMPACTS• Trip Generation
• Peak Hour Factor
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
Comparison to ITE Trip Generation (10th Edition)800 Students (K-8)
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
IMPACTS• Trip Generation
• Peak Hour Factor
• 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
October 10, 2017
