Mapping urban diversity in New York City based on commuter data
Tracts with tall buildings display highest commuter diversity
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Abstract
Quantifying and mapping urban diversity is a newly emerging field of research. In this present thesis, I build on past and ongoing research. I expand diversity mapping to the mapping of commuter diversity. In particular, I map commuter diversity in New York City as a case study, and I demonstrate that areas with tall buildings are the most diverse. In addition, I suggest that commuter diversity correlates with urban diversity more broadly, which may be useful in the study of diversity where commuter data is most easily available. My thesis comes with a GitHub page that provides data and code and makes it easy for anyone interested to replicate the results.
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Mapping_Diversity_NYC_Raszka_1... (.pdf)
(.pdf | 4.33 Mb)