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Abstract:
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Throughout history there have been many perspectives on the approach to planning cities, with a notable clash between dense, organically formed urban spaces and suburban space planned around the automobile. Urban data analysis has been recently improved through publicly available high resolution data, allowing us to empirically investigate urban design principles of the past half century. We are currently focussed on the analysis of local neighborhood features, including crime, land use, zoning, business and population demographics. We employ tree-based modeling strategies since the relationships between these factors are potentially non-linear, which complements more traditional linear regression approaches. Philadelphia is an interesting case study for this work, with its rapid urban development in the last decade.
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