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New! System-Wide Transit Corridor Plan for the San ... - Omnitrans

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Chapter 4<br />

Travel Demand Forecasting and Future<br />

Conditions<br />

This chapter examines <strong>the</strong> future travel markets<br />

in <strong>the</strong> major transit corridors and <strong>the</strong> growth<br />

potential in transit ridership that might be<br />

achieved with <strong>the</strong> introduction of premium transit<br />

service and good connections to o<strong>the</strong>r corridors<br />

and o<strong>the</strong>r operators.<br />

Route 1 Bus at Stop<br />

The examination of growth potential in each<br />

corridor will be demonstrated with demographic<br />

<strong>for</strong>ecasts and <strong>the</strong> projected magnitude of future<br />

trip-making.<br />

4.1 Model Methodology<br />

This section summarizes <strong>the</strong> methodology used<br />

and <strong>the</strong> validation of <strong>the</strong> <strong>San</strong> Bernardino Valley<br />

Focus Model (SBVFM) that was used to produce<br />

travel <strong>for</strong>ecasts <strong>for</strong> <strong>the</strong> Long Range <strong>Transit</strong> <strong>Plan</strong>.<br />

This in<strong>for</strong>mation is intended to demonstrate <strong>the</strong><br />

model’s ability to replicate existing transportation<br />

and transit ridership behavior, and <strong>the</strong> utility of<br />

<strong>the</strong> model <strong>for</strong> <strong>for</strong>ecasting future ridership and<br />

comparing transit alternatives in <strong>San</strong> Bernardino<br />

County.<br />

This document provides a summary of <strong>the</strong><br />

development and derivation of <strong>the</strong> SBVFM from<br />

<strong>the</strong> SCAG regional model, followed by a<br />

summary of <strong>the</strong> model validation ef<strong>for</strong>t<br />

specifically required <strong>for</strong> <strong>the</strong> analysis of transit<br />

services in <strong>the</strong> <strong>San</strong> Bernardino Valley. The<br />

regional nature of <strong>the</strong> remainder of <strong>the</strong> model<br />

(outside of <strong>the</strong> <strong>San</strong> Bernardino Valley) also<br />

allows <strong>for</strong> future transit analysis of <strong>the</strong> remainder<br />

of <strong>San</strong> Bernardino County, to a sketch planning<br />

lower level of accuracy.<br />

The <strong>for</strong>ecasting tool employed <strong>for</strong> <strong>the</strong> Long<br />

Range <strong>Transit</strong> <strong>Plan</strong> is <strong>the</strong> <strong>San</strong> Bernardino Valley<br />

Focus Model, which is a focused model derived<br />

from <strong>the</strong> Sou<strong>the</strong>rn Cali<strong>for</strong>nia Association of<br />

Governments (SCAG) regional model. The<br />

SCAG model was updated in conjunction with <strong>the</strong><br />

2008 Regional Transportation <strong>Plan</strong> (RTP), using<br />

a Year 2003 validation year. Elements of <strong>the</strong><br />

SCAG regional mode are documented in 2003<br />

SCAG Model Validation and Summary –<br />

Regional Transportation Model (January 2008).<br />

The <strong>San</strong> Bernardino Valley Focus Model uses<br />

<strong>the</strong> basic structure of <strong>the</strong> SCAG model, with <strong>the</strong><br />

mode choice model customized <strong>for</strong> use in <strong>the</strong><br />

<strong>San</strong> Bernardino Valley, and an increased level of<br />

definition based on <strong>the</strong> networks and zone<br />

systems found in <strong>the</strong> <strong>San</strong> Bernardino Valley.<br />

The SBVFM employs <strong>the</strong> traditional 4-step<br />

modeling process used in <strong>the</strong> SCAG model.<br />

Special features of <strong>the</strong> SBVFM include:<br />

• All person trips are modeled (including nonmotorized)<br />

• Auto-ownership is tied to transit accessibility<br />

• Person trip data is split into peak and off-peak<br />

trips be<strong>for</strong>e application of distribution models<br />

• Feed-back loops are used <strong>for</strong> highway and<br />

transit skims<br />

• Log-sums are used to estimate composite<br />

impedance <strong>for</strong> application within trip<br />

distribution models <strong>for</strong> home-based work trip<br />

purpose<br />

• Vehicle trip data is split into four time periods<br />

and converted to origin-destination <strong>for</strong>mat<br />

using time-of-day models<br />

• <strong>Transit</strong> trip data is assigned to peak (AM) and<br />

off-peak (midday) time periods in productionattraction<br />

<strong>for</strong>mat<br />

<strong>System</strong>-<strong>Wide</strong> <strong>Transit</strong> <strong>Corridor</strong> <strong>Plan</strong> 73

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