Print Email Facebook Twitter Mapping urban diversity in New York City based on commuter data Title Mapping urban diversity in New York City based on commuter data: Tracts with tall buildings display highest commuter diversity Author Raszka, Patrycja (TU Delft Architecture and the Built Environment; TU Delft History & Complexity) Contributor Baciu, D.C. (mentor) Degree granting institution Delft University of Technology Programme Architecture, Urbanism and Building Sciences Project AR2A011 Date 2022-04-14 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. Subject AR2A011Diversity mapCommutersNew York Citypythonmapping To reference this document use: http://resolver.tudelft.nl/uuid:206fd84d-a011-4c75-ae6f-45d864d8b71e Coordinates 40.730610, -73.935242 Part of collection Student theses Document type student report Rights © 2022 Patrycja Raszka Files PDF Mapping_Diversity_NYC_Raszka_1.pdf 4.33 MB Close viewer /islandora/object/uuid:206fd84d-a011-4c75-ae6f-45d864d8b71e/datastream/OBJ/view