Travel Impact of I-85 Bridge Collapse through Activity-Based … · 2017-08-28 · Systemwide...
Transcript of Travel Impact of I-85 Bridge Collapse through Activity-Based … · 2017-08-28 · Systemwide...
Kyeil Kim, Ph.D., PTP
Atlanta Model Users Group
August 25, 2017
Travel Impact of
I-85 Bridge Collapse
through
Activity-Based Modeling
Location
Aftermath
• The bridge
collapsed in
the evening of
March 30
• April 3,
Monday PM
Status on April 10
Source: www.wsbtv.comSource: www.511ga.org
Reconstruction
Source: https://app.oxblue.com/open/gadot/i85bridgerebuild
• The bridge
reopened on
May 12
The Study
• Purpose
– Obtain a general idea of what the impact of the I-85 bridge collapse on the metro Atlanta traffic is, from travel demand modeling
• Network Assumptions
– Network condition: Evening of March 30
– I-85 NB/SB links at Piedmont Road taken out
– Buford Spring Connector at Piedmont Road closed
– Piedmont Road closed at I-85
Area Traffic Profile (AADTs, 2016)
308,000Station 067-2738
136,000Station 121-5450
190,000Station 121-6370
404,000Station 121-5482
297,000Station 121-5468
209,000Station 121-5452
302,000Station 135-6285
223,000Station 089-3332
200,000Station 089-3361
229,000Station 121-5970
177,000Station 089-3292
Source: http://geocounts.com/gdot/
Methodology
• Project-Based Approach
– Not using feedback looping (Not the LRP-style model runs)
– Steps
1. Run 1 feedback, no-build scenario (i.e., normal condition with
bridge) with 100% sample
2. Fix O/D patterns
3. Update highway/transit skims from the “bridge collapse” scenario
4. Run mode choice
5. Highway/transit assignments
Project-Based Approach
Source: Jonathan Nicholson, 2016
No Build Scenario
Full Model Run
Travel Skims
Long Term Models
Mode Choice, Stop
Location, …
Build Scenario
Partial Run
Travel Skims
Mode Choice, Stop
Location, …
TransitTransit
Daily Patterns,
Tour Frequency, …
HighwayHighway
Daily Patterns,
Tour Frequency, …
SOV
HOV
Transit
SOV
HOV
Transit
Assignment
Assignment
Number of choices
held in memory
AM Peak Period – Highway Assignment (2017)Normal Bridge Gone
AM Peak Period – Highway Assignment (2017)
Difference in traffic
volumes between “bridge
collapse” and “normal”
conditions, color-coded
with congested speeds
AM Peak Period –
Highway Assignment
(2017)
% Change in AM traffic
volumes
-7%
-22%
-28%
-3%
-28%
-2%
-0.3%
2%
16%6%
12%
2%
Select Link Analysis
Origins/Destinations of
traffic using selected link
NormalCondition
(AM peak period)
Selected Link(southbound)
SLA on I-85 SB (AM Peak)Normal Bridge Gone
SLA on I-85 SB (AM Peak)Normal Bridge Gone
SLA on GA400 SB (AM Peak)Normal Bridge Gone
SLA on GA400 SB (AM Peak)Normal Bridge Gone
SLA on I-75 SB (AM Peak)Normal Bridge Gone
SLA on I-75 SB (AM Peak)Normal Bridge Gone
SLA on Downtown Connector SB (AM Peak)Normal Bridge Gone
SLA on I-75 NB (AM Peak)Normal Bridge Gone
Systemwide Impact
• The model indicates …
– Total person trips
– Total vehicle trips
– Total transit trips
– Total daily VMT
– Total daily VHT
– Daily congested average speed
– Average delay per person
Systemwide Impact (2017 Model Estimates)
Total trips, VMT, VHT (20-county area)
Trips by mode (20-county area) VMT by vehicle class (20-county area)
Measure With Bridge Bridge Collapse Difference % Difference
Total person trips 19,922,000 19,911,000 -11,000 -0.1%
Total vehicle trips 16,425,000 16,403,000 -22,000 -0.1%
Total transit trips 343,000 356,000 13,000 3.8%
Total VMT 163,988,000 163,701,000 -287,000 -0.2%
Total VHT 5,357,000 5,419,000 62,000 1.2%
With Bridge Bridge Collapse
Mode Trips Trips Difference % Difference
Drive alone 10,215,000 10,198,000 -17,000 -0.2%
Shared ride 3,046,000 3,042,000 -4,000 -0.1%
Walk & Bike 993,000 995,000 2,000 0.2%
Walk Transit 222,000 228,000 6,000 2.7%
Drive Transit 121,000 129,000 8,000 6.6%
School Bus 956,000 956,000 0 0.0%
Total 15,554,000 15,547,000 -7,000 0.0%
With Bridge Bridge Collapse
Vehicle Class VMT VMT Difference % Difference
Single occupant cars 105,032,000 104,789,000 -243,000 -0.2%
Carpools 20,394,000 20,239,000 -155,000 -0.8%
Trucks 37,693,000 37,741,000 48,000 0.1%
Drive access to transit 869,000 931,000 62,000 7.1%
Total 163,988,000 163,701,000 -287,000 -0.2%
Acknowledgement
• Raghuprasad Sidharthan, WSP
• Jonathan Nicholson, Atkins
• Rosella Picado, WSP
• Abigail Marinelli, ARC