Matt Miller

Matt Miller

Transit Analyst


Matt is passionate about transit ridership forecasting and performance-based planning.

  • TRB committee on public transportation planning
  • Primary author of the AMPO Award Winning Envision Missoula long range transportation plan
  • Pioneered the application of direct-demand models
  • Principal policy analyst on NCHRP 08-122 for MPOs
  • Expert in transit planning
  • Bus Rapid Transit (BRT) and high-capacity transit routes in Charlotte, NC Study
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CONTACT

mmiller@metroanalytics.com

  • Transit (LRT, SC, BRT, bus)
  • Transit Oriented Development
  • Built Environment/Travel Behavior
  • Long Range Transportation Plans
  • System Planning
  • GIS and spatial data science
  • Regression analysis
  • Board Member, Utah Transit Riders Union
  • Member, TRB Standing Committee APO25: Public Transportation Planning and Development
  • East Lakefront District TIGER Grant
  • WFRC Joint Goals and Performance Measures
  • Envision Tomorrow Plus (ET+)
  • Salt Lake County Hedonic Analysis
  • Utah Statewide Travel Model
  • D. Metroapolitan Planning, Policy, and Design (2020), University of Utah
  • Master of Urban Planning, University of Utah, 2007
  • B.A., Urban Planning, University of Utah, 2005


Specialties of Excellence

Matt Miller is a senior planning analyst with Metro Analytics.  Matt has worked with Metro Analytics for the past 10-years. Matt was a primary author of the AMPO Award Winning Envision Missoula long range transportation plan, has pioneered the application of direct-demand models to evaluate destination access, diversity of land uses, density, transit access and other factors on urban corridors throughout the nation.   He is currently serving as the principal policy analyst on NCHRP 08-122 – a national guidebook for MPO’s in the 21st Century.  Matt is also currently leading direct-demand land-use based transportation assessments for Capital Area MPO (CAMPO) in Raleigh North Carolina.


Projects

Grant Writing

  • East Lakefront District TIGER Grant – Wrote Narrative and performed Benefit-Cost Analysis for series of inter-related projects (complete streets, roundabout, green infrastructure, railway electrification, roadway redesign) and effects on safety and quality of life. Used GIS (ArcMap) to analyze accident data and model effects of closing one road, performing a road diet on a parallel facility, and adding a roundabout to reduce speeds while also reducing vehicle delay. Both benefits and costs estimated using documented sources.

    National Institute for Transportation in Communities (NITC) December 2013 – May 2014

    Research grant by the National Institute for Transportation in Communities (NITC) for a before and after analysis of economic development effects of Bus Rapid Transit (BRT) on employment by industry and income, controlling for BRT characteristics. Mr. Miller’s ‘Bus Rapid Transit’ grant was the most highly scored proposal of funding cycle. Scoped work was completed without major difficulty.

Performance Measures

  • WFRC Joint Goals and Performance Measures – 2014 Worked with a wide variety of stakeholders to suggest, develop, and apply performance measures for the local DOT, transit agency, and MPO’s to use in common for project prioritization. Developed Objectives, Measures, and Targets for each Goal.

    Researched efforts by other Departments of Transportation and Metropolitan Planning Organizations to develop and apply measures of accessibility as part of a performance based planning initiative. Scoped work necessarily for development of a common accessibility measures for the local DOT, transit agency, and MPO’s to use in common for project prioritization. Determined that accessibility-based planning required development of new tools beyond travel demand models.

Economics

  • East Lakefront District TIGER Grant – BCA portion of the TIGER grant submission. Used GIS (ArcMap) to analyze accident data of effects of closing one road and performing a road diet on a parallel facility.  

    Transit Oriented Development and Retail – Used multilevel  regression modeling (MLM) in RStudio in determine effects of TOD quality on retail success near transit stations, controlling for changing economic conditions, retailing environment, and characteristics of the built environment.

    TOD & Retail – Used sophisticated regression techniques (zero-inflated Poisson) to model relationship between selected built environment characteristics (the D-variables) and the count of retail employment near light rail transit stations. 

    “Do TODs Make a Difference?” – Prepared for the National Institute for Transportation in Communities (NITC). Rigorous quasi-experimental research on the effect of the opening of transit corridors on employment by sector, controlling for previous conditions and using a comparable corridor, for 20+ light right, commuter rail, streetcar and BRT systems in 11 different metro areas.

    Envision Tomorrow Plus (ET+): Analyzed ‘ripeness’ for replacement of physical structures. Based on structure ‘lifepans’ (years of useful life), derived a table of depreciation curves by structure type.  Joined a table of depreciation curves by land use type to a spatial database, and estimated the depreciation timescale for physical structures, in 5-year increments. Assessed the reasonableness of algorithmically produced results to detect problems with the algorithms.

    Gary, Indiana East Lakefront District TIGER Grant: For a local transportation project, prepared a Benefit-Cost Analysis by converting current year dollars into year of expenditure dollars and comparing it with annualized benefits of that investment. This included quantifying reductions in fuel use and emissions associated with avoided acceleration/deceleration events due to the replacement of a four-way stop with a modern, truck-capable round-about. Based conversion of current year dollars into year of expenditure dollars on more realistic construction-cost inflation rates. Evaluated robustness of results using different discount rates of future benefits.

    Salt Lake County Hedonic Analysis   JUNE 2011 – DECEMBER 2011

    Acquired, cleaned, and processed data from the Salt Lake County assessors’s CAMA database. Using Google Earth & Google Streetview, created additional data on parcel characteristics. Acquired, cleaned, and processed data from over 100+ different data sources to add additional variables to the CAMA database. Created a script in ArcGIS model-builder to automate processing of all datasets.

    Envision Tomorrow Plus (ET+) 2011 Analyzed ‘ripeness’ for replacement of physical structures. Based on structure ‘lifepans’ (years of useful life), derived a table of depreciation curves by structure type.  Joined a table of depreciation curves by land use type to a spatial database, and estimated the depreciation timescale for physical structures, in 5-year increments. Assessed the reasonableness of algorithmically produced results to detect problems with the algorithms.

    Redevelopment Opportunities App – As part of the HUD Sustainable Communities Grant, used county assessor data to develop a model of ‘Ripeness’ for redevelopment; based on the ratio of land value to structure value at different forecasting horizons, and building ‘lifespans’. Product included in the “Envision Tomorrow” (ET+) suite of tools.

Aviation

  • Chandler  Airport Master  Plan 2008 Data collection and analysis of tabular and spatial data. Mapped data in ArcGIS, created related tables, performed proof-reading and edits to final report.

    New Mexico State Aviation System Plan – Condition and performance survey of aviation facilities across New Mexico to identify deficiencies compared to assigned functional role.  Survey included field data collection, data entry, reconciliation between primary and secondary data sources, and visualizing study outputs using GIS (ArcMap).

    Airports as Connected Activity Centers Grant – Project manager on a project for the Utah Department of Transportation Aeronautics division to determine how the land adjacent to the airport could be better leveraged as multi-use activity center. Case studies of peer airports, including interviews, and a review of the literature on the ‘Aerotropolis’ concept.

Transit

  •  “Do TODs Make a Difference?” – Prepared for the National Institute for Transportation in Communities (NITC). Rigorous quasi-experimental research on the effect of the opening of transit corridors on employment by sector, controlling for previous conditions and using a comparable corridor, for 20+ light right, commuter rail, streetcar and BRT systems in 11 different metro areas.

    Provo-Orem BRT Before & After Study 2017 – Long term, longitudinal study of the effects of a new major transit investment on traffic counts, transit ridership, land development, parking supply, and crash rates.

    NITC “Bus Rapid Transit” Grant 2014  Wrote the highly regarded grant proposal for a grant from the National Institute for Transportation in Communities (NITC). Used a quasi-experimental research design to determine the effects of BRT characteristics on housing and employment.

    Provo-Orem Transportation Improvement Project (TRIP) 2014 – Project manager in conducting a ‘Before’ analysis of conditions of the Provo-Orem BRT project. Established existing conditions in transit ridership, roadway use, pollution, and parking.

    Effects of Metropolitan Characteristics on Transit Ridership – Developed a model to estimate total metropolitan transit ridership, as predicted by built environment and service characteristics. Used a Structural Equation Model (SEM), a regression technique necessary to control for collinearity/overlap between build environment variables to untangle the independent effects of each.

    Ogden-WSU Transportation Alternatives Analysis – Primary analyst comparing the viability of different alignments for streetcar and BRT, on the basis of feasibility and economic development potential. Facilitated extensive stakeholder participation, communication, and discussion on effective and appropriate use of right of way for pedestrians, cyclists, transit and cars.

    Direct Demand Models – A Review of the Literature – Rigorous and comprehensive review of published academic research on direct demand models/direct ridership models/sketch model from 1968-2019. Review also covers consultant implementations and their use for EIS/EA work.

    Urban Area Transit Ridership Model – Cross-applied Reid Ewing’s statistical modeling methods for estimating urban area VMT to transit ridership, using D-variables measures of the built environment. Modeled the effects of the built environment on metropolitan transit ridership, using Structural Equation Model (SEM), a sophisticated regression technique that makes it possible to gauge the interaction between different variables, and untangle the effects of each.

    Effects of Metropolitan Characteristics of Transit Ridership – Developed a model to estimate total metropolitan transit ridership, as predicted by built environment and service characteristics. Used a Structural Equation Model (SEM), a regression technique necessary to control for collinearity/overlap between build environment variables to untangle the independent effects of each.

    Urban Area Transit Ridership Model – Cross-applied Reid Ewing’s statistical modeling methods for estimating urban area VMT to transit ridership, using D-variables measures of the built environment. Modeled the effects of the built environment on metropolitan transit ridership, using Structural Equation Model (SEM), a sophisticated regression technique that makes it possible to gauge the interaction between different variables, and untangle the effects of each. 

    Effects of Built Environment Characteristics of Transit Ridership – Developed a Structural Equation Model (SEM), a sophisticated regression making it possible to control for many similar build environment variables to untangle the independent effects of each. Used this model to predict metropolitan travel characteristics.

    Provo-Orem BRT Before-And-After Study: To estimate the effects of a new bus rapid transit (“UVX”) Mr. Miller collected data on traffic volumes and vehicular mix, and used the emissions per vehicle mile from the EPA MOVES package to estimate air pollution generated.  This required disaggregating the vehicle mix by volumes, class and weight, based on on-road counters and sampling from aerial images. Prepared draft report and executive summary. Revised document in response to comments by both external expert reviewers and project sponsor. Produced an Executive Summary to serve as a brochure for the project.

    Transit Land Use Multiplier: Conducted a rigorous before and after analysis of the effects of major transportation investment (light rail corridors) to determine the combined effects of the investment and built environment characteristics on changes in household non-automotive travel and accompanying reduction in Vehicle Miles Traveled. This quasi-experimental design used household data from multiple metropolitan regions. Households outside a half-mile buffer of transit stations were used as a control group. A multi-level (hierarchical) statistical model, nesting households within regions, was used to control for unspecified inter-regional variation. Used the R language for statistical computing to automate calculations of built environment variables (density, land use-use entropy, others).

    Effects of Metropolitan Characteristics on Transit Ridership – Developed a model to estimate total metropolitan transit ridership, as predicted by built environment and service 

Travel Demand Modeling

  • Utah Statewide Travel Model – Model calibration and validation of the Utah Statewide travel model, comparing and integrating statewide model with metropolitan planning organizations area models. Within the MPO areas, simplified TAZ and network structures represented travel characteristics within and across MPOs. 

    Provo-Orem Transportation Improvement Project (TRIP) – Project manager in conducting a ‘Before’ analysis of conditions of the Provo-Orem BRT project. Established existing conditions in transit ridership, roadway use, pollution, and parking. 

    Direct Demand Models – A Review of the Literature – Rigorous and comprehensive review of published academic research on direct demand models/direct ridership models/sketch model from 1968-2019. Review also covers consultant implementations and their use for EIS/EA work.

Freight System Planning

  • Utah Statewide Travel Model (USTM) 2009 Helped with model calibration and validation of the Utah Statewide Travel Model, using CubeVoyager. Drafted, edited, and responded to comments on the Freight Report.


Education & History

Education

  • D. Metroapolitan Planning, Policy, and Design (2020), University of Utah
  • Master of Urban Planning, University of Utah, 2007
  • A., Urban Planning, University of Utah, 2005

Exerience

  • 11 years, travel demand forecasting and land use modeling
  • 13 years as Private Consultant
  • 2 years in public sector (Twin Cities Metropolitan Council)

Professional Involvement

  • Board Member, Utah Transit Riders Union
  • Member, TRB Standing Committee APO25: Public Transportation Planning and Development