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Development of Hurricane Development of Hurricane Rita Evacuation Trip Tables Rita Evacuation Trip Tables for the Houston-Galveston for the Houston-Galveston
RegionRegion
Jim D. Benson, Texas Transportation InstituteJim D. Benson, Texas Transportation InstituteChris Van Slyke, Houston-Galveston Area Chris Van Slyke, Houston-Galveston Area
CouncilCouncilAlan C. Clark, Houston-Galveston Area CouncilAlan C. Clark, Houston-Galveston Area Council
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Today’s PresentationToday’s Presentation
Dimensioning The ProblemDimensioning The Problem Study Area And Data BaseStudy Area And Data Base Trip Generation ModelsTrip Generation Models Trip Distribution ModelsTrip Distribution Models Time-of-day FactorsTime-of-day Factors Developing Alternative ScenariosDeveloping Alternative Scenarios
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Hurricane Rita – Sept 2005Hurricane Rita – Sept 2005
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Evacuation ZonesEvacuation Zones
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Example Evacuation SpeedsExample Evacuation Speeds US 290 WB FM 1960 to Barker Cypress
0
10
20
30
40
50
60
70
80
0 4 8 12 16 20 24 28 32 36 40 44 48
Hourly Time Periods (9/21 - 9/22/05)
Sp
eed
Morning 9/22
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H-GAC Study AreaH-GAC Study Area
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Houston TranStar Rita Houston TranStar Rita Evacuation SurveyEvacuation Survey
Solicited participation on websiteSolicited participation on website Participants responded to questions Participants responded to questions
onlineonline 6,570 respondents6,570 respondents 6,286 usable household responses6,286 usable household responses 3,886 households evacuated by car 3,886 households evacuated by car
or truckor truck
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Evacuation Generation Evacuation Generation ModelsModels
Models developed for Rita eventModels developed for Rita event
Structured to facilitate exploring Structured to facilitate exploring different evacuation scenarios different evacuation scenarios
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APPROACHAPPROACH
Six-day event modeledSix-day event modeled Cross-classification variables:Cross-classification variables:
– 6 geographical districts6 geographical districts– 5 household size groups5 household size groups
Production models:Production models:– Probability of evacuatingProbability of evacuating– Vehicle trips/evacuation householdVehicle trips/evacuation household– Trip purpose splitTrip purpose split
Simple attraction modelsSimple attraction models Non-resident trip modelsNon-resident trip models
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Six DistrictsSix Districts
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Dist 1 Dist 2 Dist 3 Dist 4 Dist 5 Dist 6
Percent of Households Evacuating
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Dist 1 Dist 2 Dist 3 Dist 4 Dist 5 Dist 6
1 pph
3 pph
5+ pph
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
2.00
Vehicle Trips/Evacuated Household
1 pph
2 pph
3 pph
4 pph
5+ pph
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Dist 1 Dist 2 Dist 3 Dist 4 Dist 5 Dist 6
Percent of Internal Trips Exiting
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Internal Evacuation Internal Evacuation AttractionsAttractions
HouseholdsHouseholds 83.3%83.3%
Hotels & MotelsHotels & Motels 8.4%8.4%
Public ShelterPublic Shelter 2.0%2.0%
OtherOther 6.3%6.3%
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External Station Evacuation External Station Evacuation AttractionsAttractions
Distributed attractions to other urban Distributed attractions to other urban areas based on their population and areas based on their population and relative accessibilityrelative accessibility
Allocated results to external stationsAllocated results to external stations
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Rita Evacuation Generation Rita Evacuation Generation ResultsResults
Internal-InternalInternal-Internal
(residents)(residents)218,785218,785
Internal-ExternalInternal-External
(residents)(residents)1,040,9361,040,936
External-InternalExternal-Internal
(non-residents)(non-residents)5,4065,406
External-ExternalExternal-External
(non-residents)(non-residents)21,61721,617
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0
50000
100000
150000
200000
250000
300000
350000
400000
Trips
1 2 3 4 5 6
District
Resident Vehicle Evacuation Trips By District
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Split of Resident Evacuation Trips
Districts 1-3 - 38%
Districts 4-6 - 62%
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Two Trip Distribution ModelsTwo Trip Distribution Models
Evacuation trips to internal zonesEvacuation trips to internal zones
Evacuation trips to external stationsEvacuation trips to external stations
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Distribution Model For Internal Distribution Model For Internal AttractionsAttractions
Essentially a “constrained interactance” Essentially a “constrained interactance” modelmodel
No friction factorsNo friction factors No iterative processNo iterative process Constrained to productionsConstrained to productions Interaction constraint Interaction constraint Productions allocated to eligible Productions allocated to eligible
attraction zones based on relative attraction zones based on relative attractiveness attractiveness
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Interaction ConstraintInteraction Constraint
No attractions to zones in the 3 No attractions to zones in the 3 mandatory evacuation areas mandatory evacuation areas
Eligible attraction zones must be Eligible attraction zones must be either:either:– Further from the coast, ORFurther from the coast, OR– 80+ miles from the coast80+ miles from the coast
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Distribution Model For External Distribution Model For External Station AttractionsStation Attractions
Similar to traditional external-local Similar to traditional external-local modelsmodels
Primary difference: external stations Primary difference: external stations are treated the attractionsare treated the attractions
Somewhat relaxed version of the Somewhat relaxed version of the normal external-local friction factors normal external-local friction factors usedused
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TRIP DISTRIBUTION RESULTSTRIP DISTRIBUTION RESULTS
EvacuationEvacuation
Trip Trip PurposesPurposes
EvacuationEvacuation
TripsTrips
AverageAverage
TripTrip
LengthLength
(miles)(miles)
MaxMax
TripTrip
LengthLength
(miles)(miles)
Trips toTrips to
InternalInternal
ZonesZones224,189224,189 36.936.9 139139
Trips toTrips to
ExternalExternal
StationsStations1,062,7571,062,757 62.362.3 156156
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Time-of-day FactorsTime-of-day Factors
Estimated from survey dataEstimated from survey data
Developed for each of the six Developed for each of the six districtsdistricts
Hourly Distribution for 6-day EventHourly Distribution for 6-day Event
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% Distribution of Trips by Day
0
10
20
30
40
50
60
70
0 1 2 3 4 5 6 7
Day of 6-day Event
%
Dist 1
Dist 2
Dist 3
Dist 4
Dist 5
Dist 6
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Distribution of Evacuation Trips by HourFrom Survey
0
1
2
3
4
5
6
7
8
9
10
0 10 20 30 40 50 60 70 80
Hour of 72-hour period (days 3-5)
% o
f E
ven
t T
rip
s Dist 1
Dist 2
Dist 3
Dist 4
Dist 5
Dist 6
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Developing Alternative Developing Alternative ScenariosScenarios
Consider adjustments to % households Consider adjustments to % households evacuating by districtevacuating by district
Consider adjusting hourly distributions Consider adjusting hourly distributions by districtby district
Consider adjusting vehicle trip rates to Consider adjusting vehicle trip rates to reflect taking fewer vehicles by districtreflect taking fewer vehicles by district
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Questions?Questions?