Urban and Regional Planning and Design
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Browsing Urban and Regional Planning and Design by Subject "Area planning and development"
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Item DO NEIGHBORHOOD HOUSING MARKET TYPOLOGIES MATTER? MEASURING THE IMPACT OF THE HOME PARTNERSHIP INVESTMENT PROGRAM IN BALTIMORE, MARYLAND(2011) Boswell, Lynette Katrina; Chen, Alexander; Urban and Regional Planning and Design; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Since the late 1990s, neighborhood housing market typologies (NHMTs) have become a popular policy tool used by cities to evaluate neighborhood housing markets. NHMTs support place-based interventions, and are used to guide municipal investments as cities target resources based on neighborhood conditions. The assumption is that the effectiveness of local investment strategies to trigger neighborhood change is linked to existing neighborhood conditions. However, this assumption has not been tested explicitly in terms of neighborhood housing markets. This study examines the following key question: does the impact of public investments on nearby home sale prices vary across neighborhood housing markets? This dissertation consists of three related essays examining the utility of NHMTs in Baltimore, Maryland. Essay one examines the theoretical foundation of and development of NHMTs. Essay two focuses on the HOME Partnership Investment Program (HOME Program) and examines whether the impacts of this program on surrounding sale prices vary across neighborhoods housing markets. Essay three discusses the implications of encouraging cities to target investments in proximity to neighborhood amenities, such as parks and transit nodes, and uses spatial econometrics to determine if and how amenities in different housing markets impact surrounding home sale prices. This study finds that NHMTs do matter to assess the impact of housing program investments and urban amenities on nearby sale prices of homes located in different housing markets. In this analysis, neighborhood housing market types are identified using a cluster statistical methodology based on a combination of indicators, including property values, neighborhood-wide property conditions, and socioeconomic characteristics of households. To examine public investments and urban amenities, separate hedonic price functions are estimated for each market type. Results of these analyses suggest that HOME Program investments and urban amenities affect surrounding home prices, and when estimated from separate price functions, the results show significant differences across market types.Item Evaluating the Impacts of Top-down Protected Area Governance on Local Livelihoods - The Case of the Turkish Village of Kapikiri(2012) Yilmaz, Aysegul; Howland, Marie; Urban and Regional Planning and Design; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This study evaluates the positive and negative impacts of strict protected area designation on the livelihoods and socioeconomic wellbeing of a resident community living within the boundaries of a protected area, and explores how these impacts are distributed across different community groups. The study also examines whether strict protected area designation compensates for a decrease in traditional income by increased tourism. A case study analysis was conducted in the Turkish village of Kapikiri, where two centuries ago, modern settlement began among the ruins of an ancient Greek city. The area's rich cultural and natural heritage resources and biodiversity prompted the Turkish government to designate it with strict culture-protected area status in 1989, and with nature-protected area status in 1994. The study involved conducting a household survey with a representative sample of households, interviews with different community groups, and interviews with officials at various levels of protected area governance. The study reveals that the Turkish government did not balance strict culture-protected area status with residents' socioeconomic development needs. An inflexible, to changing circumstances non-adaptive legal framework of cultural heritage conservation did not accommodate residents' development needs, prohibiting them any change on their built structures. Conversely, the broader nature-protected area status, intended to conserve the area's natural heritage resources and biodiversity, provided for the continuation of a traditional cultural landscape and encouraged tourism, creating a demand for tourism services and establishments. Increased demand in tourism combined with fines not high enough to deter illegal construction, however, did not discourage particularly business owners from building illegally. While business owners expanded their business capacity and increased their income, being able to absorb the costs of illegal activity, most farmers vulnerable to regional economic and agricultural influences, lacked finances to build or renovate illegally and provide new housing for subsequent generations. The case of Kapikiri points to a pressing need for long-term conservation and development strategies that address the unique and changing dynamics of local socioeconomic contexts. Protected area governance in Turkey needs to adopt a conservation policy that is pluralistic and responsive to changing local socioeconomic needs and environmental conditions; one that meets the needs of local communities while preserving heritage resources for generations to come.Item NETWORK MODELS OF REGIONAL INNOVATION CLUSTERS AND THEIR IMPACT ON ECONOMIC GROWTH(2012) Dempwolf, Christopher Scott; Howland, Marie; Urban and Regional Planning and Design; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This research uses social network analysis to develop models of regional innovation clusters using data from patent applications and other sources. These new models are more detailed than current industry cluster models, and they reveal actual and potential relationships among firms that industry cluster models cannot. The network models can identify specific clusters of firms with high potential for manufacturing job growth where business retention and expansion efforts may be targeted. They can also identify dense clusters of talent where innovation and entrepreneurial efforts may be targeted. Finally, this research measures relationships between network structure at the time of patent application and manufacturing job growth in subsequent years. This will permit the translation of a wide range of network-building activities into the ubiquitous "jobs created" metric. These new tools will help economic developers focus resources on high-yield activities, and measure the results of networking activities more effectively. There are three parts to this research. First, it evaluates the uses of social network analysis (SNA) in planning, reviewing the literature and empirical research where SNA has been used in planning related studies. Second, it presents the construction if innovation network models, covering methodology, data, results and direct applications of the network models themselves. Models are constructed for Pennsylvania between 1990 and 2007. The methodology presents a significant innovation in how networks and geography are modeled, embedding counties in the network as place nodes. The resulting network models more accurately reflect the complex and multiple relationships that firms and inventors have with each other and the locations where they interact. This approach makes it possible to evaluate relationships between innovation and economic growth at a smaller geographic level (counties) than previous research. Third, this research presents an econometric model that evaluates the influence of network structure on county-level manufacturing employment and value added. Network structure is measured in the year of patent application, with manufacturing employment and value added being measured annually for each subsequent year. Differences in network structure generally reflect differences in the level of social capital embedded in different parts of the network. I find that network structure influences manufacturing employment within three years (longer for medical devices and pharmaceuticals) but does not influence value added.