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VERPAT Tutorial background

dflynn-volpe edited this page Mar 4, 2019 · 3 revisions

Contains the markdown for top sections at https://github.com/visioneval/VisionEval/wiki/VERPAT-Tutorial

matt.landis@rsginc.com

Overview

This tutorial describes the purpose, structure, and use of VERPAT (VisionEval Rapid Planning Assessment Tool), a model based on the VisionEval framework for strategic planning of transportation networks.

Table of Contents

Scenario Planning

A definition of scenario planning

A group of participants who are engaged in a data driven communication process that seeks to:

  • Ask questions
  • Develop answers
  • Come to agreement on common problems and solutions

Scenario planning framework

Scenario planning provides a framework for developing a shared vision for the future by analyzing the various forces that affect growth

  • Health
  • Transportation
  • Economics
  • Environmental
  • Land use

Benefits of scenario planning

  • Helps agencies engage in a more informed and strategic transportation decision-making process
  • Used in conjunction with a charrette or chips games, can help stakeholders better understand and visualize future transportation and land use patterns
  • Scenario planning software programs can also help develop and assess scenarios, visualize the differences between alternatives, and encourage stakeholder participation

Scenario planning at FHWA/FTA

  • Workshops and peer exchanges
  • Webinar series to promote scenario planning
  • Innovative research
  • Publications, case studies
    • Scenario planning guidebook: six-phases
    • State of the practice report: survey of MPOs on current practices

Needs for a data driven process

  • Understand critical decision points in the transportation planning process and how land use affects demand for transportation capacity
  • Represent the dynamics and interrelationships of land use strategies with the performance of a transportation investment
  • Facilitate improved communication, interaction, and partnerships between decision-makers and planners in transportation and land use arenas

Decision points for smart growth in planning process

Process maps for state DOTs and MPOs

Areas where smart growth levers can be used

  • Policy studies
  • Planning studies
  • Programming
  • Implementation

Practioner information needs survey

TODO: Explain title. Is this section the results of a survey?

Most agencies are interested in scenario planning as a strategy for evaluating land use policies

Many agencies need coordination, cooperation, and communication with local governments on land use policy, since land use regulations are governed by local governments

Agencies also want to understand

  • Induced demand
  • Travel demand management
  • Urban form
  • Congestion reduction
  • Outcomes and performance

Develop a tool that can be used by land use and transportation planners to provide opportunities for interaction on common goals

Gaps in research

TODO: More to say about this table? Introduce it?

Topic Well-Established
Relationships
Gaps in Research
Built environment impact on peak auto demand Impact on daily travel Impact by time of day
Mobility by mode and purpose Impact on daily travel Impact by trip purpose
Induced traffic and induced growth Capacity expansion on an expanded facility Route shifts, time of day shifts, mode shifts, induced trips, new destinations, growth shifts on the network; effects of operational improvements, land use plans
Relationship between smart growth and congestion Localized effects Macro-level or regional effects
Smart growth and freight Freight is necessary for population centers Impacts of loading docks, truck routing, full-cost pricing, freight facilities and crossings, inter-firm cooperation, stakeholder communication

Land Use Scenarios

TODO: Introduce this table

Built Environment: Location of population and employment by place type

Development Type Urban Core Close in Community Suburban Rural
Residential X X X
Employment X X X
Mixed-use X X X
Transit Oriented Development X X X
Rural/Greenfield X

Demand Management Policies

TODO: Introduce bullets

  • Vanpool
  • Telecommuting
  • Ridesharing
  • Transit pass programs

Measures

  • Proportion of population and employment by place type
  • Population and employment densities by place type

Transportation scenarios

TODO: Introduce these bullets

Travel Demand

  • Changes in population demographics
  • Changes in personal income
  • Changes in firm size or industry
  • Auto and light truck proportions by year
  • Induced demand – short term impacts

Transportation Policies

  • Vehicle miles traveled charges
  • Parking pricing programs
  • Intelligent transportation system strategies for freeways and arterials

Transportation Supply

  • Amount of regional transit service
  • Amount of freeway and arterial capacity

Strategic Models for Integrated Land Use and Transportation

TODO Introduce these bullets

  • Support strategic planning efforts
  • Consider many possible scenarios
  • Combines higher level analysis of the transportation supply with individual characteristics of travel demand, built environment and policies
  • Growth by place type
  • Households (persons by age and income)
  • Firms (employees and industry)
  • Income growth
  • Truck and bus VMT
  • Accessibility
  • Congestion
  • Induced growth
  • Policy benefits
  • Easy to apply and run quickly

Strategic models bridge the gap between regional visioning and specific plans

Communicating Results

Evaluate scenarios across a range of performance metrics

  • Community Impacts
  • Travel Impacts
  • Environmental and Energy Impacts
  • Financial and Economic Impacts
  • Location Impacts

Compare multiple scenarios at a time graphically to quickly assess results

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The VERPAT Model

Rapid Policy Assessment Tool Process

TODO: Check links -- are they correctly associated with bullets?

  • Captures individual household and firm characteristics
  • Captures interactions between policies
  • Spatial results are by place type

For more, see VERPAT Modules and Outputs.

Household and Firm Synthesis

Households

  • Person by Age (from census data)
  • Household income (from Bureau of Economic Analysis data)

Firms

  • Employees
  • Industry (from County Business Pattern data)

Data can be updated from local sources

Urban Form Models

Predicts place types

  • Area Types (4)
  • Development Patterns (4)

Based on households with

  • Working age persons
  • Children
  • Seniors

Adjusted to fit regional totals

Modules are available in the VELandUse package.

Accessibility

Inputs

  • Freeway lane miles
  • Transit revenue miles (annual bus and rail revenue miles per capita)

Outputs

  • Freeway lane miles per person
  • Transit revenue miles per person

Relates both transit and auto accessibility to travel behavior.

Used in vehicle ownership models and vehicle miles traveled models.

Modules are available in the VETransportSupply package.

Vehicle models

Predicts number of vehicles for each household

  • Autos
  • Bikes
  • Light trucks

Predicts vehicles by age/fuel efficiency

Based on

  • Number of persons of driving age
  • Elderly persons
  • Household income
  • Population density
  • Freeway and transit supply
  • Urban mixed-use area

Modules are available in the VEHouseholdVehicles package.

Travel demand models

Predicts vehicle miles traveled for each household

  • Autos and light trucks
  • Heavy trucks
  • Buses and passenger rail

Based on

  • Household income
  • Population density
  • Number of household vehicles
  • Freeway and transit supply
  • Driving age persons in household
  • Elderly persons in household
  • Mixed use development

Truck VMT is based on changes in regional household income

Bus VMT is calculated from bus revenue miles

Modules are available in the VEHouseholdTravel package.

Accounting for congestion

Three aspects are represented:

  1. VMT is allocated to freeways and arterials by congestion level
  2. Speeds and fuel economies are calculated for freeways and arterials
  3. Congestion in local areas is estimated from increased activity

Congestion is part of a feedback loop between changes in each scenario and induced growth

Modules are available in the VETransportSupplyUse package.

Induced demand

Definition: Additional demand resulting from adding transportation supply

Short term -- induced demand

  • Changes in road supply, function of speed
  • Potential mode and route shift

Long term -- induced growth: changes in growth patterns resulting from changes in travel patterns

Induced demand is calculated in the VEHouseholdTravel package.

Performance metrics

TODO introduce bullet points

Direct travel impacts

  • Daily VMT
  • Daily vehicle trips
  • Daily transity trips
  • Peak travel speeds by facility type
  • Vehicle hours of travel
  • Vehicle hours of delay

Community impacts

  • Public health impacts and costs
  • Equity impacts

Environment and energy impacts

  • Fuel consumption
  • Greenhouse gas emissions
  • Criteria emissions

Financial and economic impacts

  • Regional highway infrastructure costs
  • Regional transity infrastructure and operating costs
  • Annual traveler cost

Land market and location impacts

  • Regional accessibility

Performance metrics are calculated in the VEReports package. For more information, also see VERPAT Modules and Outputs.

For more information

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