Hejun (June) Kang 1, Sara Tomlinson 2, Charles Baber 2 1 Fairfax County Department of Transportation 2 Baltimore Metropolitan Council Using EERPAT to Study.

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Presentation transcript:

Hejun (June) Kang 1, Sara Tomlinson 2, Charles Baber 2 1 Fairfax County Department of Transportation 2 Baltimore Metropolitan Council Using EERPAT to Study Statewide and Region Greenhouse Gas Reduction Measures

Maryland Transportation GHG Emission Targets -90%

What is EERPAT? EERPAT: Energy and Emission Reduction Policy Analysis Tool –Adapted from the Oregon DOT GreenSTEP model FHWA is sponsoring 4 pilots

What is EERPAT? Help inform transportation and climate planning process

Urban/ Roads MarketingTechnology /Fleet Pricing How EERPAT Works?

Model Calibration – State Wide Data

Model Calibration – County Level

Sample Policy Test – Smart Growth in Metro Areas

Sample Policy Result: Smart Growth in Metro Areas 4.0%5.5% 9.3% 5.3%

Sample Policy Result: Smart Growth in Metro Areas 3.0%

EERPAT An effective planning tool for GHG analysis, helping inform transportation and climate planning process Sensitive to capture household responses to polices Can be calibrated and applied at the regional level, with local knowledge/inputs available

Regional Greenhouse Gas Study How Far Can We Get“How Far Can We Get” initiative –How far we can reduce GHG emissions in the Baltimore region through planning- related GHG strategies –To inform transportation project selection for maximize the next regional transportation plan Phase I - EERPAT Development, TERM Policy Catalog, MOVES GHG Emissions Analysis Phase II – Round 1 Scenario Testing – 15 Individual Measures Phase III - Round 2 Scenario Testing - Combination Scenarios Phase IV – Development of Recommendations

How Far? Process Oversight committee members provided input through: –in-person and webinar meetings, online surveys, and Decisions made on: –Measures to analyze, Modeling assumptions –Final list of recommended measures

How Far? Surveys Survey 1: Interest level and feasibility of different emission reduction measures Survey 2: Clarifying whether to choose projects to analyze based upon interest level and/or feasibility Survey 3: Modeling assumption reasonableness

How Far? Survey 1 Example – Level of Interest

How Far? Survey 1 Example – Feasibility

How Far? Survey 1 Example – Category Ranking

How Far? Survey 3 Example

How Far? Phase I: Individual TERM Testing Pricing Category Pay as you drive insurance Congestion pricing VMT fee Roads Category Traffic operations management Incident management Marketing Category Employer TDM programs Household based TDM programs Vehicle use optimization Ecodriving Vehicle and Fuels Technology Category CAFE Standard Electric vehicles Fleet Category Diesel truck idle reduction Low rolling resistance tires Urban Category Increased transit service Land use - density Land use - mixed use

How Far? Phase II: Scenario Testing Urban Land use - Density Transit TDM PAYD Insurance Urban (Plus) Land use – Density + Mixed Use Transit TDM PAYD Insurance System/Mode Optimization Vehicle use optimization Operation programs Transit, TDM, Eco-driving Vehicle Technology Electric vehicles Low rolling resistance tires Vehicle Technology (Plus) Hypothetical CAFE Low rolling resistance tires Pricing VMT fee Congestion fee PAYD Insurance Vehicle Technology Plus Marketing Scenario Hypo. CAFE Low rolling resistance tires Eco-driving Vehicle Use Optimization TDM Idle Reduction

For More Information Sara Tomlinson Baltimore Metropolitan Council Hejun (June) Kang, Ph.D. Fairfax County Dept. of Transportation

APPENDIX

MD Transportation Emissions – Base Case

Inside the “model” folder 34 files The “scenarios” folder 38 files