Using All Street Networks in Modeling Non-Motorized Travel:

A Case Study in San Diego

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 18th, 2015

Wu Sun & Gregor SchroederSan Diego Association of Governments (SANDAG)

BackgroundBackground

SANDAG Active Transportation (AT) Model

AT model applications AT model networks

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Enhanced ABM

CTM

Trans. SystemTrans. Policy

Traffic Assignment

SystemPerformance

Environmental Impact

EconomicAnalysis

3

LU Models

Integrated ABM & AT ModelIntegrated ABM & AT Model

Special Models

bicycle & Ped Route Choices

Improved NM Impedance

Improved Mode Choices

AT Model

Modeling NetworksModeling Networks

• Highway network

• Transit network

• Active transportation network• Non-all street network• All street network

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AT NetworkAT Network

Off street path

On street lane

All street link

On street signed route

SANGIS all street network

bicycle routes+

What Are Affected by All Street Network?

What Are Affected by All Street Network?

Network resolution affects:– Bike route choices

– Tour mode choices– Trip mode choices– Stop location choices

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ABM Core Model

AT Model

Network and Bike Route ChoiceNetwork and Bike Route Choice

All street path between zones 1 and 2 All street path between zones 1 and 2

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Non all street path between zones 1 and 2Non all street path between zones 1 and 2

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Network AttributesNetwork Attributes

Field Description

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

Mode Choices in ABMMode 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

Network and Mode ChoiceNetwork and Mode Choice

Non-All street walk path between zone 1 and TAP Non-All street walk path between zone 1 and TAP

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All street walk path between zone 1 and TAPAll street walk path between zone 1 and TAP

T2T2

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Transit path Transit path

T1T1

Network and Stop Location Choice

Network and Stop Location Choice

t

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s1s1 s2s2s3s3

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3.51.5 1.8

1.21.1

4.0

AnalysisAnalysis

Definition of two scenarios– Scenario 1: all street network– Scenario 2: non-all street network

Result analysis:– Network results– Model performance results

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Network ResultsNetwork Results

  All Street Non All Street Diff (%)Avg Zone-Zone Walk Distance (mi) 1.93 2.08 7.8%Avg Zone-TAP Walk Distance (mi) 0.65 0.67 2.6%

Walkable Zone Pairs 9,028,357

7,289,198 -19.3%

Walkable Zone-TAP Pairs 136,888 132,712 -3.1%

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ConclusionsConclusions

• Does network resolution matter?

• How much does network resolution matter?

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Questions?Questions?

Contact: Wu Sun 619-6995757 Wu.Sun@sandag.org