1. Using All Street Networks in Modeling Non-Motorized Travel: A Case Study in San Diego 15th TRB National Transportation Planning Applications Conference, Columbus OH May 18 th, 2015 Wu Sun & Gregor Schroeder San Diego Association of Governments (SANDAG)

2. Background  SANDAG Active Transportation (AT) Model  AT model applications  AT model networks 2

3. Enhanced ABM CTM Trans. System Trans. Policy Traffic Assignment System Performance Environmental Impact Economic Analysis 3 LU Models Integrated ABM & AT Model Special Models bicycle & Ped Route Choices Improved NM Impedance Improved Mode Choices AT Model

4. Modeling Networks Highway networkHighway network Transit networkTransit network Active transportation networkActive transportation network Non-all street networkNon-all street network All street networkAll street network 4

5. AT Network Off street path On street lane All street link On street signed route SANGIS all street network bicycle routes +

6. What Are Affected by All Street Network?  Network resolution affects: –Bike route choices –Tour mode choices –Trip mode choices –Stop location choices 6 ABM Core Model AT Model

7. Network and Bike Route Choice All street path between zones 1 and 2 1 1 Non all street path between zones 1 and 2 2 2

8. Network Attributes FieldDescription ROADSEGID Unique Link Identifier A A (From) Node Identifier B B (To) Node Identifier Distance Link length in Feet AB_Gain Positive Elevation gain from A to B in Feet BA_Gain Positive Elevation gain from B to A in Feet ABbicycleClas A to B Link bicycle Class BAbicycleClas B to A Link bicycle Class AB_Lanes Presence of Traffic Flow in A to B Direction BA_Lanes Presence of Traffic Flow in A to B Direction Signal Presence of traffic signal

9. Mode Choices in ABM Choice Auto Drive alone GP(1) Pay(2) Shared ride 2 GP(3) HOV(4) Pay(5) Shared ride 3+ GP(6) HOV(7) Pay(8) Non- motorized Walk(9) bicycle(10) Transit Walk access Local bus(11) Express bus(12) BRT(13) LRT(14) Commuter rail(15) PNR access Local bus(16) Express bus(17) BRT(18) LRT(19) Commuter rail(20) KNR access Local bus(21) Express bus(22) BRT(23) LRT(24) Commuter rail(25) School Bus(26) Highway Assignment Bicycle Assignment Transit Assignment Network matters

10. Network and Mode Choice Non-All street walk path between zone 1 and TAP 1 1 All street walk path between zone 1 and TAP T2 2 2 Transit path T1

11. Network and Stop Location Choice t 1 1 s1 s2 s3 2 2 3.5 1.5 1.8 1.2 1.1 4.0

12. Analysis  Definition of two scenarios –Scenario 1: all street network –Scenario 2: non-all street network  Result analysis: –Network results –Model performance results 12

13. Network Results All StreetNon All StreetDiff (%) Avg Zone-Zone Walk Distance (mi)1.932.087.8% Avg Zone-TAP Walk Distance (mi)0.650.672.6% Walkable Zone Pairs 9,028,357 7,289,198-19.3% Walkable Zone-TAP Pairs 136,888132,712-3.1% 13

14. Conclusions Does network resolution matter?Does network resolution matter? How much does network resolution matter?How much does network resolution matter? 14

15. Questions?  Contact: Wu Sun  619-6995757  Wu.Sun@sandag.org