Reid Ewing, PhD
As one of the America’s most cited scholars in the field of metropolitan transportation planning, Dr. Ewing is uniquely qualified to ensure the research process and deliverables incorporate the best and most relevant knowledge on best practices for MPOs. In 2018 he published research in Transportation Research Record on the role of MPOs in land-use planning, with this research also featured in the APA “Research you can Use” series in August of 2018. He has developed the nation’s only meta-analysis database on transportation performance and the built environment (associating land use patters from throughout America’s cities with transportation performance variables related to accessibility, urban design, land use efficiency and other factors). Ewing’s work is aimed at planning practitioners, including widely applied research using the seven D-variables of accessibility, density, demand management, and diverse modes to achieve transportation and land use efficiency. Ewing’s eight books also include Pedestrian and Transit Oriented Design and Best Development Practices: Doing the Right Thing and Making Money at the Same Time, listed by the American Planning Association (APA) as one of the 100 “essential” books in planning over the past 100 years. His decades of industry-leading consulting experience include extensive land use and transportation modeling, including over a million dollars of sponsored applied research in the past 8 years. For decades, Dr. Ewing has played a central role in efforts to define and measure the highly contested nature of sprawl development, which, following extensive research, culminated in the development of the accessibility-based Ewing-Hamidi sprawl index. As the head of the Metropolitan Research Center at the University of Utah, associate editor of the journal Cities, and one of the ten most cited planning scholars in America, Dr. Ewing is one of the premier scholars on travel and the built environment, studying how characteristics of metropolitan areas and transportation networks affect vehicle miles traveled, passenger miles traveled, mode share, trip and parking generation, automobile crashes, obesity, energy use and other phenomena.
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