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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Smart Growth in Maryland: Looking Forward and Looking Back
(2007) Frece, John; Knaap, Gerrit
Spring of 2007 will mark the 10th anniversary of the passage of Maryland’s Smart Growth and Neighborhood Conservation Initiative; an effort designed to discourage sprawl development, foster more compact communities, protect the best remaining farms and open space in the state, and save taxpayers from the growing cost of providing services and infrastructure to serve far-flung development. Almost before its various provisions took effect in 1997 and 1998, the Maryland initiative generated interest and acclaim across the country. It received numerous awards and became the principal legacy of the program’s primary architect, former Governor Parris N. Glen- dening. Governors in other states, such as New Jersey, Colorado and Massachusetts, instituted their own “smart growth” proposals, often modeled after portions of the Maryland program. Even the popularity and wide usage of the now omnipresent phrase “smart growth” can be attributed in large part to the Maryland program. But, what has been the effect of Maryland’s Smart Growth pro- gram? Looking at it some ten years later, has it worked? Did it accomplish what it was designed to do? What have been the strengths and weaknesses of the Maryland approach, and how can lessons from the Maryland experience be used to offer a new set of policymakers in Maryland, as well as elsewhere in the nation, practical suggestions on how to make smart growth smarter?
Internally Connected, No Commercial, With a Touch of Open Space: The Neighborhoods of New Homes in the Portland Metropolitan Area
(2004) Song, Yan; Knaap, Gerrit
For many years, neighborhoods have been classified as either “suburban” or “traditional.” But new homes today are built in many different types of neighborhoods with many different design features. In this paper, we develop a quantitative method for classifying the neighborhoods of new homes in the Portland metropolitan area. We proceed in three steps. First we measure urban form attributes of neighborhoods around newly developed homes. We then use factor analysis to identify a small set of factors that capture essential differences in urban form. Finally we use cluster analysis on these factor scores to identify distinctly different neighborhood types. Applying these methods to neighborhoods around new single family homes in the metropolitan Portland, Oregon, we are able to identify eight factors of urban form and six neighborhood types. We then show that most new single family homes in metropolitan Portland are built in new suburban neighborhoods but a substantial portion is occurring in traditional urban neighborhoods.
Economies of Scale in Wastewater Treatment and Planning for Urban Growth
(2003) Hopkins, Lewis; Knaap, Gerrit; Xiaohuan, Xu
Can urban growth patterns take advantage of economies of scale in infrastructure by relying on fewer and larger treatment plants? Estimates of potential cost savings from alternative wastewater treatment consolidation strategies for the metropolitan Chicago region suggest that the timing of consolidation is important. Carefully timed consolidation, even consolidation that occurs after development has occurred, might yield present value savings on the order of $170 million in capital costs. These potential savings are large enough that such strategies should be considered when planning for metropolitan growth.
A functional integrated land use-transportation model for analyzing transportation impacts in the Maryland-Washington, DC Region
(2011) Mishra, Sabyasachee; Ye, Xin; Ducca, Fred; Knaap, Gerrit
The Maryland-Washington, DC region has been experiencing significant land-use changes and changes in local and regional travel patterns due to increasing growth and sprawl. The region’s highway and transit networks regularly experience severe congestion levels. Before proceeding with plans to build new transportation infrastructure to address this expanding demand for travel, a critical question is how future land use will affect the regional transportation system. This article investigates how an integrated land-use and transportation model can address this question. A base year and two horizon-year land use-transport scenarios are analyzed. The horizon-year scenarios are: (1) business as usual (BAU) and (2) high gasoline prices (HGP). The scenarios developed through the land-use model are derived from a three-stage top-down approach: (a) at the state level, (b) at the county level, and (c) at the statewide modeling zone (SMZ) level that reflects economic impacts on the region. The transportation model, the Maryland Statewide Transport Model (MSTM), is an integrated land use-transportation model, capable of reflecting development and travel patterns in the region. The model includes all of Maryland, Washington, DC, and Delaware, and portions of southern Pennsylvania, northern Virginia, New Jersey, and West Virginia. The neighboring states are included to reflect the entering, exiting, and through trips in the region. The MSTM is a four-step travel-demand model with input provided by the alternative land-use scenarios, designed to produce link-level assignment results for four daily time periods, nineteen trip purposes, and eleven modes of travel. This article presents preliminary results of the land use-transportation model. The long-distance passenger and commodity-travel models are at the development stage and are not included in the results. The analyses of the land use-transport scenarios reveal insights to the region’s travel patterns in terms of the congestion level and the shift of travel as per land-use changes. The model is a useful tool for analyzing future land-use and transportation impacts in the region.
Seeing the Elephant: Multi-disciplinary Measures of Urban Sprawl
(2005) Clifton, Kelly; Ewing, Reid; Knaap, Gerrit; Song, Yan
In this paper we review and discuss multiple approaches of measuring urban sprawl. Our intent is not to propose new measures or methods but to present in a single paper an overview of approaches to measuring sprawl taken by scholars trained in a variety of disciplines. Our intent instead is to describe general approaches and to provide references to key sources for further examination. Based on our review, we draw two conclusions. First, over the last two decades we have made substantial progress in our ability to measure and analyze spatial patterns that constitute the problem known as urban sprawl. Second, because of the disciplinary boundaries in which this progress has been made, we understand parts of the problem better than we understand the problem as a whole.
Indicators of Smart Growth in Maryland
(2011) Knaap, Gerrit; Moore, Terry; Sartori, Jason
Maryland is often referred to as the birthplace of smart growth, a movement in land use planning that contributed to what is now referred to as sustainability planning, sustainable development, and sustainable communities. Maryland adopted a Smart Growth Program in 1997 with the primary purposes being to use incentives to (1) direct growth into areas already developed and having public facilities, and (2) reduce the conversion of farm, forest, and resource land to urban uses. The National Center for Smart Growth Research and Education at the University of Maryland was established in 2000 in large part because of Maryland’s leadership in the field of smart growth. Its mission is to provide research and leadership training on smart growth and related land use issues in Maryland and in metropolitan regions around the nation. Thus, a key focus of the Center’s research is Maryland’s Smart Growth Program: where is it effective, and how can it be improved? This report provides some indicators (also called performance measures) that suggest answers to those questions. The term “suggest” is important: (1) there are many limitations of any assessment based on indicators, no matter how well developed, and (2) the indicator assessment reported here is only in its preliminary stages. Understanding the limitations of indicators is critical to interpreting their significance. Thus, Section 2 and Appendix B of this report discuss in some detail data, methods, and limitations. Researchers and policymakers acknowledge those limitations, but that acknowledgement does not slack their desire for indicators that say something concrete about whether desired outcomes are being achieved, and at what cost in direct expenditures and spillover effects; and about directions for policy that would increase the desired outcomes, reduce the costs, or both. Sections 3 and 4 address those issues. Section 3 reports indicators for six categories of issues. Population and employment growth drive development. That development is the immediate concern of the two thrusts of the Maryland Smart Growth Program: it puts pressure on the natural areas that the Program wants to protect, and it can occur in development patterns that not only eliminate and vitiate those natural areas, but also are inefficient from the perspective of providing transportation and other infrastructure and, ultimately housing (and other buildings). Some of the key findings: (1) Population, (2) Employment, (3) Transportation, (4) Development patterns, (5) Housing, and (6) Natural areas. If the indicators here are leaning in any direction, it is that Maryland has not made substantial progress toward improving its performance in many of the areas pertaining to smart growth. There are, however, reasons to qualify a direct conclusion like that one: (1) Without the kind of research design that goes well beyond the reporting of indicators into statistical controls for multiple explanatory variables, there is no solid way to rebut the hypothesis that what the Maryland Smart Growth Program did was to prevent many indicators from getting much worse than they are. (2) Things take time. Many changes in technology, social attitudes, prices, and the built environment occur slowly. (3) If it is too early to expect to see much by way of results (e.g., changes to trends) then perhaps indicators of outcomes should be supplemented by indicators of inputs: of efforts made to stimulate future change (i.e., the number and strength of policies to change the patterns and effects of growth).
The Transportation-Land Use Policy Connection
(2005) Knaap, Gerrit; Song, Yan
In this paper, we explore the transportation-land use policy connection. More specifically, we consider the question: can land use policy be used to alter transportation behavior? The answer is of some importance. If the answer is yes, then there is hope that land use policies can be designed and implemented that will bring some relief to the gridlock and complex transportation problems facing US metropolitan areas. This is the underlying assumption behind most smart growth policy reforms. If the answer is no, then land use policy may still be important, but is not likely to play an important role in resolving transportation issues. We proceed as follows. First we offer a schematic that identifies necessary conditions for land use policy to play a role in addressing transportation issues. Specially,we argue that for land use policy to play an effective role, three conditions must hold. First, land use must be able to alter transportation behavior. Second, transportation infrastructure must not fully determine land use. Third, the condition on which we consider most extensively, land use policy must significantly and constructively affect land use. After presenting the schematic, we consider the evidence on each of these conditions. Based on our review of the evidence, we conclude that land use policy can play an effective role in addressing transportation issues, but that the role is likely to be small, often counter productive, and most effective at the neighborhood scale.
State Agency Spending Under Maryland's Smart Growth Areas Act: Who's Tracking, Who's Spending, How Much, and Where?
(2007) Knaap, Gerrit; Lewis, Rebecca
In 1997, the Maryland General Assembly enacted the Smart Growth and Neighborhood Conservation initiative, an attempt by state government to use the state budget to concentrate urban development in certain areas. The primary vehicle for this approach was embodied in the Smart Growth Areas Act, which required that all “growth-related” funding by state agencies occur in locally designated “Priority Funding Areas” (PFAs) that met certain state criteria. The intent of the Act was to restrict state spending so it became easier for local governments and private developers to concentrate urban development within the PFAs, while at the same time, discourage development outside PFAs. Data recently released by the Maryland Department of Planning, however, reveal that the Act is not having its intended effect. Although approximately three-fourths of all residential permits issued from 1990 to 2004 were for development inside PFAs, approximately three- fourths of the land developed for residential use over the same period was developed outside PFAs. Furthermore, the share of permits issued for residential development outside PFAs has risen from approximately 28.6 percent in 1998 to 31.6 percent in 2004, while the share of acres developed for residential use outside PFAs has risen from 76.7 percent in 1998 to 77.2 percent in 2004.1 These data suggest that the Smart Growth Areas Act has not concentrated growth inside PFAs as intended.
Planning and Development Control at the County Level in the United States: Lessons from Montgomery County, Maryland, and Fairfax County, Virginia
(2004) Cohen, James; Knaap, Gerrit
This report provides an overview of planning and development control at the county level in the United States based on a case-study analysis of two counties in the Washington, DC metropolitan area: Montgomery County, Maryland, and Fairfax County, Virginia. The intent is not to provide an in-depth analysis of the differences between these two counties but instead to demonstrate general principles and procedures of county planning in the United States.
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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