National Center for Smart Growth Research Works

Permanent URI for this collectionhttp://hdl.handle.net/1903/21473

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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Start date: 2010Subject: search.filters.subject.Land Use

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Now showing 1 - 10 of 12
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    Gradual Rasterization: Redefining the Spatial Resolution in Transport Modeling
    (2014) Moeckel, Rolf; Donnelly, Rick
    Finding the appropriate spatial resolution in modeling is a serious challenge at the beginning of every modeling project. The paper presents a methodology to adjust the spatial geography to the resolution of a network. Based on the quadtree algorithm, raster cells are generated that are dynamic in size. Smaller raster cells are used in urban areas and larger raster cells are used in low-density, rural areas. Trip tables of a travel demand model for the State of Georgia are disaggregated to this new zone system of raster cells, and assignment results validate significantly better than when using the original zone system.
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    A Case for Increased State Role in Transit Planning: Analyzing Land Use and Transit Ridership Connections Using Scenarios
    (2011) Chakraborty, Arnab; Mishra, Sabyasachee
    Land use and neighborhood characteristics have long been linked to transit ridership. Large-scale agencies, such as state departments of transportations, often make decisions that affect land use pattern and transit services. However, the interdependencies between them are seldom harnessed in decision-making. In this article, we develop and apply a transit ridership model based on land use and other neighborhood characteristics for an entire state. We then discuss its implications for regional and state-level decision-making. We chose the state of Maryland as our study area. Using a number of criteria, we subdivided the state into 1151 statewide modeling zones (SMZs) and, for each zone in the base year (2000), developed a set of variables, including developed land under different uses, population and employment densities, free-flow and congested speeds, current transport capacities, and accessibility to different transport modes. We estimated two sets of OLS-regression models for the base year data: one on the statewide SMZs dataset and other on subsets of urban, suburban and rural typologies. We find that characteristics of land use, transit accessibility, income, and density are strongly significant and robust for the statewide and urban areas datasets. We also find that determinants and their coefficients vary across urban, suburban and rural areas suggesting the need for finely tuned policy. Next we used a suite of econometric and land use models to generate two scenarios for the horizon year (2030) – business as usual and high-energy price – and estimated ridership changes between them. We use the resulting scenarios to show how demand could vary by parts of the state and demonstrate the framework’s value in large-scale decision-making.
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    Hotspots for Growth: Land Use Change and Priority Funding Area Policy in a Transitional County in the U.S.
    (2010) Hanlon, Bernadette; Howland, Marie; McGuire, Michael
    This paper uses a logit model to estimate whether and to what extent Maryland’s Priority Funding Area (PFA) program steers urban growth to locations inside targeted growth area boundaries of an ex-urban county in the outer suburbs of the Washington, D.C. region. The results of our model indicate that the size of an agricultural parcel, its distance from urban parcels, its proximity to highways, the quality of the land for agriculture, and the location in or outside of PFAs influence the probability an agricultural parcel will remain in agriculture or be converted to urban use. We find that some of the areas experiencing the greatest market pressure for development are located outside PFAs and, although Maryland’s incentive-based strategy reduces the likelihood a parcel outside a PFA will transition to urban use, this policy is not one hundred percent effective.
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    A Multiobjective Optimization Approach to Smart Growth in Land Development
    (2010) Faria, Jose; Gabriel, Steven; Moglen, Glenn
    In this paper we describe a multiobjective optimization model of "Smart Growth" applied to land development in Montgomery County, Maryland. The term "Smart Growth" is generally meant to describe those land development strategies which do not result in urban sprawl, however the term is somewhat open to interpretation. The multiobjective aspects arise when considering the conflicting interests of the various stakeholders involved: the government planner, the environmentalist, the conservationist, and the land developer. We present a formulation, which employs linear and convex quadratic objective functions for the stakeholders that are subject to polyhedral and binary constraints. As such, the resulting optimization problems are convex, quadratic mixed integer programs which are known to be NP-complete (Mansini and Speranza, 1999). We report numerical results with this model and present these results using a geographic information system (GIS).
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    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.
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    Understanding the Role of Built Environment in Reducing Vehicle Miles Traveled Accounting for Spatial Heterogeneity
    (2014) Liu, Chao; Ding, Chuan; Wang, Yaowu; Xie, Binglei
    In recent years, increasing concerns over climate change and transportation energy consumption have sparked research into the influences of urban form and land use patterns on motorized travel, notably vehicle miles traveled (VMT). However, empirical studies provide mixed evidence of the influence of the built environment on travel. In particular, the role of density after controlling for the confounding factors (e.g., land use mix, average block size, and distance from CBD) still remains unclear. The object of this study is twofold. First, this research provides additional insights into the effects of built environment factors on the work-related VMT, considering urban form measurements at both the home location and workplace simultaneously. Second, a cross-classified multilevel model using Bayesian approach is applied to account for the spatial heterogeneity across spatial units. Using Washington DC as our study area, the home-based work tour in the AM peak hours is used as the analysis unit. Estimation results confirmed the important role that the built environment at both home and workplace plays in affecting work-related VMT. In particular, the results reveal that densities at the workplace have more important roles than that at home location. These findings confirm that urban planning and city design should be part of the solution in stabilizing global climate and energy consumption.
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    Integrating Models for Complex Planning Policy Analysis: Challenges and a Solution in Coupling Dissimilar Models
    (2015) Moeckel, Rolf; Shahumyan, Harutyun
    It is an expensive and time consuming task to develop a new model. Besides, a single model often cannot provide answers required for integrated decision making. Therefore, coupling existing models is often used for model integration. The paper provides an overview of possible model integration approaches, briefly explains the models of a particular application and focuses on the integration methods applied in this research. While the initial attempt was to integrate all models as tightly as possible, the authors developed a much more agile integration approach. Python wrappers were developed to loosely couple land-use, transportation and emission models developed in different environments. ArcGIS Model Builder was used to provide a graphical user interface and to present the models’ workflow. The suggested approach is efficient when the models are developed in different programming languages, their source codes are not available or the licensing restrictions make other coupling approaches infeasible.
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    Community Associations at Middle Age: A New Bankruptcy Law and Other Proposals
    (2010) Nelson, Robert
    Community associations represent a major American shift toward collective private ownership of housing, following in the path of the rise of the private business corporation 100 years ago. The laws overseeing the chartering, organizing, governing, and other aspects of business corporation workings have been significantly revised many times. It has been a case of gaining experience with corporate forms of business ownership and then responding to the problems and opportunities as they have been discovered by businessmen, researchers, and other observers. As more and more community associations now reach middle age, it is time in this area of collective property ownership as well for a full retrospective assessment and new state laws and other institutional initiatives in response to the problems and opportunities as they are identified.
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    Transit-Induced Gentrification: Who Will Stay, and Who Will Go?
    (2014) Dawkins, Casey; Moeckel, Rolf
    Transit-Oriented Development (TOD) has been promoted by planners and policy advocates as a solution to a variety of urban problems, including automobile traffic congestion, air pollution, and urban poverty. This paper addresses the question: How do TOD-based affordable housing policies influence the intra-urban location of low income households over time? This paper examined historical descriptive evidence along with land use forecasts generated by the Simple Integrated Land-Use Orchestrator (SILO) land use model to examine the impact of housing policies on patterns of sorting by income within the Washington, D.C. metropolitan area. The historical evidence suggests that in most decades when Metro stations were opened, census tracts near transit stations saw higher increases in median household income than other census tracts. We also find evidence that income growth around stations constructed in the 1970s and 1980s persisted over time, while income growth around stations constructed during the 1990s was largest in the following decade. Consistent with other studies (Kahn 2007), we interpret these findings as evidence that some degree of transit-induced gentrification has been occurring in the Washington, D.C. region.
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    Barriers to Development Inside Maryland's Priority Funding Areas: Perspectives of Planners, Developers, and Advocates
    (2012) Dawkins, Casey; Knaap, Gerrit; Sartori, Jason
    Passed in 1997, Maryland’s Smart Growth and Neighborhood Conservation Initiative took a novel approach to growth management, utilizing the power of the purse to encourage sustainable development. The initiative seeks to discourage suburban sprawl through a targeted spending approach, while also allowing local governments to retain their land use decision-making authority. It required local governments to designate Priority Funding Areas (PFAs) where state infrastructure funding would be focused. Through this tool, the State aimed to promote development and revitalization within Maryland’s urbanized areas, while limiting the urbanization of Maryland’s rural areas and green spaces. Data from the Maryland Department of Planning, however, suggests that PFAs are having limited impacts. The percent of single-family acres developed outside of PFAs has risen steadily over time. Development densities have declined in PFAs, with the average parcel size inside PFAs increasing from 0.25 acres in 1990 to 0.28 acres in 2004. Despite their disappointing performance, PFAs are anticipated to play key roles in future policies regarding development on septic systems and in PlanMaryland, the state development plan. Given their growing prominence but questionable efficacy, PFAs warrant further examination. That is the purpose of this study, conducted by the Housing Strategies Group of the National Center for Smart Growth Research and Education at the University of Maryland, and funded by the Maryland State Builders Association and NAIOP Maryland chapters. The study relies upon responses to a telephone survey of forty-seven representatives from three key stakeholder groups—planners, policy advocates and consultants, and developers. HSG made every effort to obtain the perspectives of a variety of sources but it is important to note that the survey respondents could not be said to be randomly selected and the sample size is too small for rigorous statistical analysis. While not presenting new empirical analysis of the influence of PFAs on development patterns across the State, the study does produce new information on how critical stakeholders view the efficacy of PFAs and the barriers to development inside PFAs. Survey respondents identified a number of ways to improve development conditions in PFAs, ranging from limiting the length of APFO restrictions to reducing impact fees and lowering level of service requirements for certain types of infrastructure inside PFAs. Other recommendations included expediting the state agency review processes and lessening stormwater management and other environmental protection requirements for projects inside PFAs.