Understanding Spatial Resolution in SANDAG Activity-Based Model
Explore the impact of spatial resolution on SANDAG's Activity-Based Model, analyzing details such as land use inputs, transit impedances, highway assignments, and more. Discover how different scenarios affect the model's demand and supply sides, ultimately influencing factors like walkability and economic analysis.
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Presentation Transcript
Spatial Resolution in SANDAG Activity-Based Model: How Much More Detail Is Enough? 15th TRB National Transportation Planning Applications Conference, Columbus OH May 18th, 2015 Wu Sun, Gregor Schroeder & Matt Keating San Diego Association of Governments (SANDAG)
Background SANDAG Activity-Based Model (ABM) and Active Transportation (AT) Model ABM/AT model applications Spatial resolution in models 2
Integrated ABM & AT Model Trans. System LU Models Trans. Policy Improved NM Impedance Enhanced ABM Improved Mode Choices Special Models AT Model bicycle & Ped Route Choices Traffic Assignment CTM Economic Analysis System Performance Environmental Impact 3
Spatial Resolution MGRA (gray lines) 23002 MGRA 4996 TAZs MGRA: Master Geographic Reference Area (Grey Lines) TAZ: Transportation Analysis Zone (Orange Line) 4
What Are Affected by Spatial Resolutions? Land use inputs Synthetic population Non-motorized impedances MGRA-MGRA walk MGRA-MGRA bike Transit impedances MGRA-TAP walk Highway impedances? Vary by scenario 5
A Base Scenario 1 2 Path between zone 1 and 2
A Scenario with Smaller Zones 1 1a 2 Path between zone 1 &1a and 2
How Spatial Resolutions Affect the Model? Demand side Location choices: tour, trip, and parking locations Other choices? Supply side Skimming: walk, bike, transit, and highway. Highway assignment? Transit assignment? 8
Result Analysis Walkability 9.5 135 Thousands Millions 130 9 125 8.5 120 8 115 7.5 110 7 105 6.5 100 Base Small Zones Base Small Zones Walkable zone pairs Walkable zone-TAP pairs 9
Result Analysis Avg Walk Distance Btw Zones 2.10 1.90 1.70 1.50 Base Small Zones 1.30 1.10 0.90 0.70 0.50 Avg_Walk_Dist Avg_WalkTransit_Dist 10
Result Analysis Avg Bike Distance Btw Zones 18 16 14 12 10 8 6 4 2 0 Base Small Zones 11
Result Analysis Trips by Mode Trips Mode Shares Small Zones (%) Mode Base Small Zones Diff Base (%) Diff % Auto 8,944,716 8,938,479 -6237 85.40 85.35 -0.06% Walk 1,063,005 1,065,769 2764 10.15 10.18 0.27% Bike Walk to Transit Other Transit 101,848 114,498 12650 0.97 1.09 12.43% 202,856 192,762 -10094 1.94 1.84 -4.96% 19,506 19,410 -96 0.19 0.19 -0.48% Other 142,582 142,384 -198 1.36 1.36 -0.13% Total 10,474,513 10,473,302 100.00 100.00 12
Result Analysis Avg Walk Trip Distance 0.90 0.80 0.70 0.60 0.50 Base Small Zones 0.40 0.30 0.20 0.10 0.00 Avg_Walk_Dist Avg_WalkTransit_Dist 13
Result Analysis Avg Bike Trip Distance 2.40 2.35 2.30 2.25 2.20 2.15 2.10 2.05 Base Small Zones 14
Conclusions Finer spatial resolution Improve walkability Non-motorized trips increase and auto trips decrease Impact on bike trips more significant than on walk trips How much more detail is enough? What is important to you? Other things to consider 15
Questions? Contact: Wu Sun 619-6995757 Wu.Sun@sandag.org
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