National Center for Smart Growth

Permanent URI for this communityhttp://hdl.handle.net/1903/21472

The National Center for Smart Growth (NCSG) works to advance the notion that research, collaboration, engagement and thoughtful policy development hold the key to a smarter and more sustainable approach to urban and regional development. NCSG is based at the University of Maryland, College Park, housed under the School of Architecture, Planning, and Preservation, with support from the College of Agriculture & Natural Resources, the A. James Clark School of Engineering, the School of Public Policy, and the Office of the Provost.

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Author: search.filters.author.Clifton, KellySubject: search.filters.subject.Maryland

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    Pedestrian Flow Modeling for Prototypical Maryland Cities
    (2004) Allen, William G.; Clifton, Kelly; Davies, Gary; Radford, Noah
    Pedestrian safety is emerging as a major area of concern for MPO's and planning agencies. Typically, pedestrian safety has been analyzed by either examining the absolute number of pedestrian crashes at a location, or computing an exposure rate from the number of crashes and the traffic volume. A more desirable measure would be an exposure rate based on the pedestrian volume, but it has not proven feasible to obtain pedestrian flow volumes on a widearea basis to support this analysis. This report describes a pedestrian flow modeling process that was developed under the sponsorship of the Maryland DOT and the University of Maryland National Center for Smart Growth. The process provides micro-scale daily pedestrian flows on all sidewalks and crosswalks in a substantial coverage area. Two test cases were analyzed: an urban scenario comprising about 10 square miles of downtown Baltimore, and a suburban scenario comprising about 15 square miles of Langley Park in Prince Georges and Montgomery Counties.
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    Economic Scenarios and Development Patterns in the Baltimore‐Washington Region
    (2009) Clifton, Kelly; Kaza, Nikhil; Knaap, Gerrit
    This paper illustrates the use of scenarios in land use, environmental and transportation planning in and around the State of Maryland. Different assumptions about futures result in different patterns of growth with differential impacts on particular sectors of the economy. Such different patterns require formulation of contingent plans as well as robust plans. In this paper, we illustrate the quantitative modelling methodology of loosely linked economic demographic, transportation and other impact assessment models in constructing two scenarios; one of which represented the best possible guess about the continuation of the future and other involving rapid changes to energy prices and Federal spending. We illustrate the spatial development outcomes and the transportation and environmental plans that are necessary to deal with these different outcomes. Further, we illustrate that different planned actions have different efficacies in different futures and thus multiple futures should be carefully considered. Finally, we illustrate the notions of contingent plans and robust plans.