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.Knaap, Elijah

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    Reclassification of Sustainable Neighborhoods: An Opportunity Indicator Analysis in Baltimore Metropolitan Area
    (2013) Knaap, Elijah; Knaap, Gerrit; Liu, Chao
    The “Sustainable neighborhoods” has become widely proposed objective of urban planners, scholars, and local government agencies. However, after decades of discussion, there is still no consensus on the definition of sustainable neighborhoods (Sawicki and Flynn, 1996; Dluhy and Swartz 2006; Song and Knaap,2007; Galster 2010). To gain new information on this issue, this paper develops a quantitative method for classifying neighborhood types. It starts by measuring a set of more than 100 neighborhood sustainable indicators. The initial set of indicators includes education, housing, neighborhood quality and social capital, neighborhood environment and health, employment and transportation. Data are gathered from various sources, including the National Center for Smart Growth (NCSG) data inventory, U.S. Census, Bureau of Economic Analysis (BEA), Environmental Protection Agency (EPA), many government agencies and private vendors. GIS mapping is used to visualize and identify variations in neighborhood attributes at the most detailed level (e.g census tracts). Factor analysis is then used to reduce the number of indicators to a small set of dimensions that capture essential differences in neighborhood types in terms of social, economic, and environmental dimensions. These factors loadings are used as inputs to a cluster analysis to identify unique neighborhood types. Finally, different types of neighborhoods are visualized using a GIS tool for further evaluation. The proposed quantitative analysis will help illustrate variations in neighborhood types and their spatial patterns in the Baltimore metropolitan region. This framework offers new insights on what is a sustainable neighborhood.
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    Retail Location and Transit: An Econometric Examination of Retail Location in Prince George’s and Montgomery County, Maryland
    (2014) Knaap, Elijah; Knaap, Gerrit; Ma, Ting
    Transit oriented development (TOD) is a widely accepted policy objective of many jurisdictions in the United States. There is both anecdotal and empirical evidence to suggest that the vitality of TODs and the transit boardings from any TOD depends significantly on the extent of retail development in the transit station area. We focus in this paper, on the determinants of retail location in two counties, Montgomery County and Prince George’s County, Maryland, with a particular focus on the influence of proximity to rail transit stations. We used data from two counties in the Washington DC suburbs to construct measures of transit and retail accessibility and constructed an econometric model to estimate the relationship between urban contextual factors and retail firm locations. The results from our analysis provide empirical support for the notion that retail firms are attracted to locations with high levels of transit accessibility. By extension, these findings suggest that investments in transit—particularly fixed rail transit—may be an effective method for stimulating retail development in metropolitan areas.
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    Mapping Opportunity: A Critical Assessment
    (2014) Knaap, Elijah; Knaap, Gerrit; Liu, Chao
    A renewed interest has emerged on spatial opportunity structures and their role in shaping housing policy, community development, and equity planning. To this end, many have tried to quantify the geography of opportunity and quite literally plot it in a map. In this paper we explore the conceptual foundations and analytical methods that underlie the current practice of opportunity mapping. We find that opportunity maps can inform housing policy and metropolitan planning but that greater consideration should be given to the variables included, the methods in which variables are geographically articulated and combined, and the extent to which the public is engaged in opportunity mapping exercises.