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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link
rel="stylesheet"
href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css"
>
<script
src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"
></script>
<script
src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"
></script>
<style>
.extra-space {
margin-top: 10px;
}
.container-fluid {
padding-top: 10px;
padding-bottom: 10px;
}
.center-p {
text-align: center
}
</style>
</head>
<body>
<div class="container-fluid">
<div class="row">
<span class="col-md-2">
<img src="website/visioneval_logo.png" height="120", width="120">
</span>
<span class="col-md-10">
<h1>VisionEval
<small>A programming framework for disaggregate strategic planning
models</small>
</h1>
</span>
</div>
</div>
<div class="container-fluid">
<p>Strategic planning is becoming increasingly important as a means to
help state and metropolitan area governments select policies and actions
to address pressing issues that are fraught with uncertainty. More
specifically, Federal direction has challenged state, regional, and local
transportation agencies with measuring the outcomes of decisions through
performance-based planning, including considering how transportation
solutions may impact future goals such as sustainability, health,
mobility, etc. Further complicating matters, plans need to be resilient to
changing transportation and land use trends and the implications of
emerging technologies and constraints. VisionEval is an open source
common framework building on the successful GreenSTEP family of strategic
planning tools that is intended to address these needs.</p>
<p>VisionEval is a recently established partnership merging this family of
tools into an open-source project with a supporting community forum of
partner agencies and others sharing in its use and enhancement. The goal
is to support a broad array of potential tool uses and enable pooled
enhancements expanding the types of outcomes measured or refine the
specificity of transportation and land use solutions considered. The work
to date by the founding FHWA-OregonDOT partnership has focused on the
technical components of putting the various tools on a common programming
framework. Bolstered by interest at an RPAT Peer Exchange in October 2015,
efforts are underway to build a supportive community around the tool,
drawing from successful past and interested future users nationally, who
will both define the policy needs and uses of these tools, and set their
direction moving forward.</p>
<p class="center-p"><strong>NEW</strong> Join VisionEval Project’s next chapter! The FHWA-hosted pooled fund project, <a href="https://gregorbj.github.io/VisionEval/website/VisionEvalBrochure.pdf">Collaborative Development of New Strategic Planning Models</a>, is now open and accepting contributions: <a href="http://pooledfund.org/Details/Solicitation/1446">Pooled Fund Project Website</a> </p>
<p class="center-p"><strong>Explore the information below to learn more
about VisionEval and contribute to our ongoing efforts.</strong></p>
</div>
<div class="container-fluid">
<div class="panel-group" id="accordian">
<!-- Why VisionEval? -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian" href="#why">
<strong>Why VisionEval?</strong></a>
</h2>
</div>
<div id="why" class="panel-collapse collapse">
<div class="panel-body">
<p>The family of VisionEval tools began with a tool designed to
measure GHG emission outcomes in Oregon (GreenSTEP). It was
rebranded the Regional Strategic Planning Model (RSPM) when
broader measures such as health, household costs, and other
outcomes were added. The tool was adapted nationally in modified
form as RPAT (Rapid Policy Assessment Tool) and EERPAT (Energy and
Emissions Reduction Policy Analysis Tool). This tool evaluates
transportation investment and policy strategies such as increased
transit service, pricing, parking management, etc. combined with
land use plans to assess how different combinations of investment
and policy actions impact travel behavior and budgets and thus
influence desired community outcomes/goals. The short runtimes
enable thousands of scenarios to be evaluated testing plan
resilience and has resulted in several web-based interactive
visualization tools to explore policy/investment trade-offs with
stakeholders and the public.</p>
<p>Oregon has found significant value in RSPM to support
performance-based planning in developing future plans, and most
MPOs in the state are using the it (and in some cases RPAT), with
future interest in enhancements. Several current and past pilot
users of RPAT and EERPAT across the country continue to find value
from the tool in greenhouse gas planning efforts. This project
builds on these collective achievements and allows pooling of
resources and energy that will result in better tools, increased
user base, a larger pool of technical developers, and a community
forum sharing best practices in how the tools are supporting land
use and transportation decision-making conversations across the
nation.</p>
</div>
</div>
</div> <!-- Close Why VisionEval div -->
<!-- What is the VisionEval Framework? -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian" href="#intro">
<strong>What is the VisionEval framework?</strong></a>
</h2>
</div>
<div id="intro" class="panel-collapse collapse">
<div class="panel-body">
The core of VisionEval is a common programming framework that
allow the four strategic planning models in the GreenSTEP family
to share a commmon platform, facilitating development and
deployment to a broader community. The framework enables
statewide, regional, or urban area models to be built by
connecting together modules that are distributed in standard
R language packages. The framework establishes interface standards
for modules and manages the data flow between modules and a common
datastore. Although the inspiration for the VisionEval framework
is a set of related transportation and land use models
(see below), the framework can be used for other modeling and
research purposes as well. The VisionEval project
<a href="https://github.com/gregorbj/VisionEval">repository</a>
on GitHub is the source for project documentation and code.
A description of the impetus and vision for the framework is
included in the repository
<a href="https://github.com/gregorbj/VisionEval/wiki/documents/VisionEval_OverallVision_20151030.pdf">here.</a>
Several partners and technical contributors have participated in
the development of the VisionEval framework to date. Partners
include the Federal Highway Administration. Technical
contributors include Oregon Systems Analytics (OSA), Resource
Systems Group (RSG), Portland State University (PSU), University
of British Columbia (UBC), Lane Council of Governments (LCOG),
and Volpe.
</div>
</div>
</div> <!-- Close What is the VisionEval Framework div -->
<!-- Strategic Planning for Transportation and Land Use -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian"
href="#strategic-planning"> <strong>What is strategic planning for
transportation and land use?</strong></a>
</h2>
</div>
<div id="strategic-planning" class="panel-collapse collapse">
<div class="panel-body">
Strategic planning is becoming increasingly important as a means
to help state and metropolitan area governments select policies
and actions to address pressing issues that are fraught with
uncertainty. Past transportation and land use trends can no longer
be assumed as givens and the implications of emerging technologies
need to be considered. Furthermore, substantial environmental
constraints need to be addressed.
<a href="http://www.trb.org/Main/Blurbs/171200.aspx">NCHRP report 750</a>
describes in detail a number of strategic planning issues
that are facing transportation. The objectives of strategic
planning are to consider the prospects of future trends, evaluate
the potential for influencing those trends and their effects, and
develop a strategic vision for the future. A strategic vision
identifies desired performance goals and general strategies for
achieving those goals. Strategic planning is also sometimes
referred to as scenario planning.
</div>
</div>
</div> <!-- Close Strategic Planning for Transportation and Land Use div -->
<!-- Disaggregate Strategic Planning Models -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian"
href="#strategic-models"> <strong>What are disaggregate strategic
planning models?</strong></a>
</h2>
</div>
<div id="strategic-models" class="panel-collapse collapse">
<div class="panel-body">
Strategic planning models evaluate the consequences of future
scenarios that vary with respect to external trends and proposed
policy responses to those trends. Strategic planning models are
designed to address a wide range of trends and policies, rather
than focusing on details. They are designed in this way so that
many alternative futures and policies can be evaluated, enabling
planners to reason more effectively about intended and unintended
consequences of prospective policies. Disaggregate strategic
planning models work by simulating the effects of trends and
policies on individual households. This has been found to be an
efficient way to model the interactions between policies and their
potential effects on households having different characteristics
and located in different areas.
</div>
</div>
</div>
<!-- The Models the Inspired VisionEval -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian"
href="#visioneval-models"> <strong>What models inspired the
development of VisionEval?</strong></a>
</h2>
</div>
<div id="visioneval-models" class="panel-collapse collapse">
<div class="panel-body">
The impetus for developing the VisionEval framework was to make
the code for several related disaggregate strategic planning
models easier to maintain, modify, extend, and interchange.
Following are brief descriptions of these models. Click on the
model name for more information about the model.
<dl class="dl-vertical">
<dt class="extra-space">
<a href="http://www.oregon.gov/ODOT/Planning/Pages/Technical-Tools.aspx">
GreenSTEP</a>
</dt>
<dd>The Greenhouse gas Strategic Transportation Energy Planning
model was the first of these models to be developed. It was
developed by the Oregon Department of Transportation (ODOT) to
assist in the development of plans to reduce greenhouse gas
(GHG) emissions from light-duty vehicles to meet statutory
goals. GreenSTEP models the effects of many different factors
(e.g. transportation supply, prices, land use, etc.) on
household vehicle ownership and use, and the effects on
emissions, traffic congestion, etc. Technical documentation
for the GreenSTEP model is available
<a href=https://github.com/gregorbj/RSPM/blob/master/Version_3.5/Documentation/GreenSTEP-RSPM_Documentation_20151220.docx>here.</a>
</dd>
<dt class="extra-space">
<a href="http://www.oregon.gov/ODOT/Planning/Pages/Technical-Tools.aspx">
RSPM</a>
</dt>
<dd>The Regional Strategic Planning Model was developed by ODOT
as an offshoot of the GreenSTEP model to support the
preparation of metropolitan area strategic assessments and
scenario plans. It is a revision of an earlier model named
"Metropolitan GreenSTEP". The name was changed because the
model (like GreenSTEP) does much more than estimate GHG
emissions. A GitHub
<a href="https://github.com/gregorbj/RSPM">repository</a>
contains the version 3.5 code and sample files. It also
contains technical documentation for the RSPM and GreenSTEP
models.
</dd>
<dt class="extra-space">
<a href="https://www.planning.dot.gov/fhwa_tool/">
EERPAT</a>
</dt>
<dd>The Energy and Emissions Reduction Policy Analysis Tool was
developed to "assist state transportation agencies with
analyzing greenhouse gas reduction scenarios and alternatives
for use in the transportation planning process, the
development of state climate action plans, scenario planning
exercises, and to measure the reduction potential of various
transportation strategies to meet state greenhouse gas
reduction goals and targets." The EERPAT was developed from
the GreenSTEP model and was revised to have a graphical user
interface and to serve all 50 states.
</dd>
<dt class="extra-space">
<a href="https://planningtools.transportation.org/10/travelworks.html">
RPAT</a>
</dt>
<dd>The Rapid Policy Analysis Tool was developed under the
2nd Strategic Highway Research Program that was authorized in
2005 as part of the federal SAFETEA-LU legislation. The model
was developed to help planners evaluate the potential effect
of smart growth policies on regional travel. Portions of the
GreenSTEP model were used in RPAT, but substantial revisions
were made to the code. The development site for the RPAT code is
<a href="https://github.com/RSGInc/RPAT">here.</a> The RPAT
describes land uses with place type categories. A description of
place types and ODOT's classification method is available
<a href="http://www.oregon.gov/ODOT/Planning/Pages/Technical-Tools.aspx">here.</a>
ODOT has also developed a viewer for visualizing the place
type classifications for an area, an example of which can be
viewed
<a href="http://www.oregon.gov/ODOT/Planning/Pages/Technical-Tools.aspx">here.</a>
</dd>
</dl>
</div>
</div>
</div>
<!-- Visualizing Strategic Planning Model Results -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian" href="#viewers">
<strong>Play with our interactive scenario viewers!!</strong></a>
</h2>
</div>
<div id="viewers" class="panel-collapse collapse">
<div class="panel-body">
A benefit of using strategic planning models is that they enable
a large number of scenarios to be evaluated. This provides
planners with more information about the potential consequences
of future trends and the policies that might be put in place to
influence those trends and their effects. This benefit also poses
a challenge in regards to how to make sense of the large amounts
of output data that are produced. Fortunately, the worldwide web
and programming tools developed for programming web content
assist with meeting the challenge and make it easier than ever to
make model results available to planners and the public. Following
are examples of model results visualizations that have been
developed.
<dl class="dl-vertical">
<dt class="extra-space">
<a href="https://gregorbj.github.io/RSPM-Viewer">
ODOT Scenario Viewer</a>
</dt>
<dd>ODOT's scenario viewer is a web application that enables
users to explore the results of modeling hundreds of scenarios
in an interactive manner. Users can investigate how changing
future assumptions affects outcome measures. They can also work
backwards and determine what inputs are associated with outcomes
they choose. </dd>
<dt class="extra-space">
<a href="http://www.thempo.org/367/Sustainable-Transportation-Initiative">
Future Builder</a>
</dt>
<dd>Future Builder is a web application developed for the
Central Lane Scenario Planning effort. It enables the public to
choose various types and levels of actions for reducing
greenhouse gas emissions from light-duty vehicles, and see how
those choices affect various performance measures. It also
enables users to provide feedback to planners. </dd>
<dt class="extra-space">
<a href="http://www.dvrpc.org/choicesandvoices/">
Choices and Voices</a>
</dt>
<dd>The Delaware Valley Regional Planning Commission created a
web application that allows the public to provide feedback on
how the greater Philadelphia region should grow and how the
transportation system for the region should be funded,
managed, and improved. It provides feedback on how those
choices affect various performance measures and allow users
to submit their choices to planners. </dd>
</dl>
</div>
</div>
</div>
<!-- VisionEval White papers -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian"
href="#white-papers"> <strong>How can I learn more?</strong></a>
</h2>
</div>
<div id="white-papers" class="panel-collapse collapse">
<div class="panel-body">
The rationale and design for the VisionEval framework are
documented by papers included in the project's GitHub
<a href="https://github.com/gregorbj/VisionEval">repository</a>
they include the following documents. Check back frequently for
the latest documents because the framework is still under
development.
<dl class="dl-vertical">
<dt class="extra-space">
<a href="https://github.com/gregorbj/VisionEval/wiki/documents/VisionEval_HandOut_2016PeerExchange.pdf">
VisionEval Strategic Tools for Performance-Based Planning</a>
</dt>
<dd>This paper provides an overview of VisionEval as a model system for implementing analysis tools to support long range performance-based planning.
</dd>
<dt class="extra-space">
<a href="https://github.com/gregorbj/VisionEval/blob/master/api/rspm_framework_approach.md">
VisionEval: A New Framework for the GreenSTEP Family of Models: Overview and Approach</a>
</dt>
<dd>This paper describes the rationale and project approach.
</dd>
<dt class="extra-space">
<a href="https://github.com/gregorbj/VisionEval/blob/master/api/model_system_design.md">
VisionEval Model System and Framework Design</a>
</dt>
<dd>This paper goes into more depth on how the framework fits
into a model system and the design of that system and the
framework.
</dd>
<dt class="extra-space">
<a href="https://connectdot.connectsolutions.com/p5rele3rf8o/" target="_blank">
TMIP Webinar: Introduction to GreenSTEP, the RSPM and Related Strategic Planning Models.</a>
</dt>
<dd>This is the first of a three-part webinar series on the GreenSTEP and RSPM models. This webinar focused on:
<ul>
<li>The motivation for building the GreenSTEP model and the policy issues it was built to analyze.</li>
<li>Design overview and major features.</li>
<li>Other related models (EERPAT, RPAT) and their differences.</li>
<li>GreenSTEP and RSPM application examples.</li>
<li>How the GreenSTEP and RSPM models are run.</li>
<li>How to obtain the code and technical documentation for the GreenSTEP and RSPM models.</li>
</ul>
</dd>
<dt class="extra-space">
<a href="https://connectdot.connectsolutions.com/p4k5rg9luna/" target="_blank">
TMIP Webinar: Design and Estimation of the GreenSTEP and RSPM Models.</a>
</dt>
<dd>This is the second of a three-part webinar series on the GreenSTEP and RSPM models. This webinar focused on:
<ul>
<li>Integrated model development process using R.</li>
<li>Data and data preparation used in model development.</li>
<li>Development of the household DVMT model.</li>
<li>Development of the light-weight vehicles model.</li>
<li>Development of the PHEV model.</li>
<li>Development of the household budget model.</li>
<li>Development of the congestion model.</li>
</ul>
</dd>
<dt class="extra-space">
<a href="https://connectdot.connectsolutions.com/p52lbzs1qv0/" target="_blank">
TMIP Webinar: VisionEval - A Modeling System for Building Strategic Planning Models.</a>
</dt>
<dd>This is the third of a three-part webinar series on the GreenSTEP and RSPM models. This webinar focused on:
<ul>
<li>The reasons for creating VisionEval.</li>
<li>Model system objectives.</li>
<li>Overview of the model system architecture.</li>
<li>Key principles that enable 'plug-and-play' operation.</li>
<li>Module structure and the packaging of modules.</li>
<li>What happens behind the scenes when a model runs.</li>
<li>How to download and use the code.</li>
<li>Next steps.</li>
</ul>
</dd>
</dl>
</div>
</div>
</div>
<!-- Applications and Research -->
<div class="panel panel-default">
<div class="panel-heading">
<h2 class="panel-title">
<a data-toggle="collapse" data-parent="#accordian" href="#research-apps">
<strong>What have we been up to?</strong></a>
</h2>
</div>
<div id="research-apps" class="panel-collapse collapse">
<div class="panel-body">
<div>
Research and applications involving the GreenSTEP model and
related models is ongoing. Following are listings of research
efforts, model applications, and awards given to the models and
model applications.
</div>
<div class="panel-group" id="research-apps-subgroup">
<!-- Research -->
<div class="panel">
<h5>
<a data-toggle="collapse" data-parent="#research-apps-subgroup" href="#research">Research</a>
</h5>
<div id="research" class="panel-collapse collapse">
<div class="panel-body">
<ul>
<li><a href="http://trec.pdx.edu/research/project/881/Incorporate_Emerging_Travel_Modes_in_the_Regional_Strategic_Planning_Model_(RSPM)_Tool">
ODOT/NITC RSPM Mode Shift/Emerging Modes Research</a>
</li>
</ul>
</div>
</div>
</div>
<!-- Applications -->
<div class="panel">
<h5>
<a data-toggle="collapse" data-parent="#research-apps-subgroup" href="#applications">Applications</a>
</h5>
<div id="applications" class="panel-collapse collapse">
<div class="panel-body">
<ul>
<li><a href="https://www.oregon.gov/ODOT/TD/OSTI/Pages/STS.aspx">
ODOT Statewide Transportation Strategy Webpage</a>
</li>
<li><a href="http://trrjournalonline.trb.org/doi/abs/10.3141/2454-06">
ODOT Statewide Transportation Strategy TRR Article</a>
</li>
<li><a href="https://www.oregon.gov/ODOT/TD/OSTI/Pages/scenario_planning.aspx">
Oregon metropolitan area strategic assessments and scenario planning</a>
</li>
</ul>
</div>
</div>
</div>
<!-- Awards -->
<div class="panel">
<h5>
<a data-toggle="collapse" data-parent="#research-apps-subgroup" href="#awards">Awards</a>
</h5>
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<li><a href="http://www.fhwa.dot.gov/environment/environmental_excellence_awards/eea_2015/page01.cfm">
FHWA 2015 Environmental Excellence Award -
Air Quality Improvement and Climate Change:
Strategic Assessment of Land Use and Transportation
Plans for the Corvallis Area MPO
</a>
</li>
<li><a href="https://www.transportation.gov/fastlane/dot-data-innovation-challenge-attracts-talented-field">
USDOT 2014 Data Innovation Challenge: Transportation
Access applications that show how transportation connects
people to jobs, schools, housing and other community
resources - DVRPC Choices & Voices
</a>
</li>
<li><a href="http://mmsd.transportation.org/pdf/awards/am13%20awards%20program%20v2.pdf">
American Association of State Highway Transportation Officials,
President’s Transportation Award for Planning, 2013 -
Oregon Statewide Transportation Strategy (STS Team),
Oregon Department of Transportation
</a>
</li>
<li><a href="http://nr.cms.transportation.org/PressReleaseDocuments/pr2010-11-04.pdf">
American Association of State Highway Transportation Officials,
President’s Transportation Award for Planning, 2013 -
Oregon Statewide Transportation Strategy (STS Team),
Oregon Department of Transportation
</a>
</li>
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<li><strong>FHWA: </strong>Brian Gardner, Eric Pihl, Jeremy Raw</li>
<li><strong>Oregon DOT: </strong>Tara Weidner, Amanda Pietz, Brian Dunn</li>
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