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Friday, December 1 • 3:05pm - 3:25pm
Identifying and categorizing business districts using Census LODES data

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Both practitioners and academic researchers have a keen interest in understanding how employment is spatially distributed throughout metropolitan areas. In this paper I use high-resolution Census LODES data to document regularities in the spatial distribution of jobs and residents. I show that unlike residents, who form a continuous surface covering most parts of each MSA, jobs have a bimodal spatial distribution. Most Census blocks contain no jobs whatsoever, while a small number have extremely high employment densities. I then introduce an algorithm to identify and classify contiguous business districts based on the densities of employment and population in each block.

Speakers
avatar for Robert Manduca

Robert Manduca

PhD Candidate in Sociology and Social Policy, Harvard
Robert is a PhD student in Sociology and Social Policy at Harvard University. His research focuses on local and regional economic development, trying to understand why some cities and neighborhoods prosper while others are left behind. Prior to beginning his PhD he received a Mas... Read More →


Friday December 1, 2017 3:05pm - 3:25pm