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The amenity mix of urban neighborhoods

Author(s)
Hidalgo, César A.; Castañer, Elisa; Sevtsuk, Andres
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Abstract
Advances in computational urbanism have stimulated the rise of generative and parametric approaches to urban design. Yet, most generative and parametric approaches focus on physical characteristics, such as a neighborhoods walkability, energy efficiency, and urban form. Here, we study the colocation patterns of more than one million amenities in 47 U.S. cities to model the amenity mix of neighborhoods, and to identify the amenities that are over- or under-supplied in a neighborhood. We build this model by combining a clustering algorithm, designed to identify amenity-dense neighborhoods, and a network, connecting amenities that are likely to collocate. Our findings extend generative and parametric urban design approaches to the amenity mix of neighborhoods, by leveraging the idea of relatedness from the economic geography literature, to evaluate and optimize a neighborhood's amenity mix.
Date issued
2020-08
URI
https://hdl.handle.net/1721.1/128824
Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning; Massachusetts Institute of Technology. School of Architecture and Planning
Journal
Habitat International
Publisher
Elsevier BV
Citation
Hidalgo, César A. et al. "The amenity mix of urban neighborhoods." Habitat International 106 (August 2020): 102205 © 2020 Elsevier Ltd
Version: Author's final manuscript
ISSN
0197-3975

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