Brown University

Predicting gentrification in New York City

Description

Abstract:
New York City's neighborhoods have radically changed over the past few decades. While the rezoning of neighborhoods like the Far West Side has led to the creation of new residential units where none previously existed, many neighborhoods have seen their residents forced out due to rising rent prices. This study seeks to determine if MetroCard fare data, released weekly, can help the New York City government predict the next neighborhoods that might experience mass displacement. If New York City could track potential areas of displacement, they could better understand the implications of policy decisions; for example, does their supporting a new park spur a significant increase in rent? For the purposes of this study, gentrification will be defined as the displacement of a socio-economic group of people by individuals and businesses that are of a wealthier economic status.
Notes:
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Citation

Beck, John, "Predicting gentrification in New York City" (2017). Principles and Methods of Geographic Information Systems, Geographic Information Systems (GIS) Symposia. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:698396/

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Collections:

  • Principles and Methods of Geographic Information Systems

    This collection contains final projects created in Brown's Principles and Methods of Geographic Information Systems. Soc1340 is an introduction to the fundamental principles and methods of geographic information systems (GIS). Topics include (a) handling different types of geographic datasets, (b) …
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  • Geographic Information Systems (GIS) Symposia

    Each year Brown University student researchers demonstrate a wide variety of social, political, cultural, historical, and scientific questions that can be addressed using powerful digital mapping and spatial analysis technologies. This collection of posters presents students' research applications of GIS …
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