Investigating neighborhood adaptability using mobility networks: a case study of the COVID-19 pandemic

Boz, Hasan Alp and Bahrami, Mohsen and Balcısoy, Selim and Bozkaya, Burçin and Mazar, Nina and Nichols, Aaron and Pentland, Alex (2024) Investigating neighborhood adaptability using mobility networks: a case study of the COVID-19 pandemic. Humanities and Social Sciences Communications, 11 (1). ISSN 2662-9992

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Abstract

What predicts a neighborhood’s adaptability to essential public health policies and shelter-in-place regulations that prevent the harmful spread of COVID-19? To answer this question, we present a novel application of human mobility patterns and human behavior in a network setting. We analyze 2 years of mobility data (January 2019 to December 2020) from New York City and construct weekly mobility networks between census block groups based on aggregated point-of-interest visit patterns. Our results indicate that neighborhoods’ socioeconomic and geographic characteristics play a significant role in predicting their adaptability to active shelter-in-place policies. Our simulation outcomes reveal that, alongside factors such as race, education, and income, the geographical attributes of neighborhoods, such as access to amenities that satisfy community needs are equally important factors in predicting neighborhood adaptability to public health policies. These findings offer valuable insights that can enhance urban planning strategies, thereby aiding pandemic mitigation efforts and fostering increased adaptability of urban areas in the face of exogenous shocks like the COVID-19 pandemic.
Item Type: Article
Divisions: Faculty of Engineering and Natural Sciences
Sabancı Business School
Depositing User: Selim Balcısoy
Date Deposited: 10 May 2024 11:53
Last Modified: 10 May 2024 11:53
URI: https://research.sabanciuniv.edu/id/eprint/49227

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