The amenity mix of urban neighborhoods

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...

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Main Authors: Hidalgo, César A., Castañer, Elisa, Sevtsuk, Andres
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Published: Elsevier BV 2020
Online Access:https://hdl.handle.net/1721.1/128824
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author Hidalgo, César A.
Castañer, Elisa
Sevtsuk, Andres
author2 Massachusetts Institute of Technology. Department of Urban Studies and Planning
author_facet Massachusetts Institute of Technology. Department of Urban Studies and Planning
Hidalgo, César A.
Castañer, Elisa
Sevtsuk, Andres
author_sort Hidalgo, César A.
collection MIT
description 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.
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spelling mit-1721.1/1288242022-12-10T07:48:54Z The amenity mix of urban neighborhoods Hidalgo, César A. Castañer, Elisa Sevtsuk, Andres Massachusetts Institute of Technology. Department of Urban Studies and Planning Massachusetts Institute of Technology. School of Architecture and Planning 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. 2020-12-11T21:56:08Z 2020-12-11T21:56:08Z 2020-08 2020-06 Article http://purl.org/eprint/type/JournalArticle 0197-3975 https://hdl.handle.net/1721.1/128824 Hidalgo, César A. et al. "The amenity mix of urban neighborhoods." Habitat International 106 (August 2020): 102205 © 2020 Elsevier Ltd http://dx.doi.org/10.1016/j.habitatint.2020.102205 Habitat International Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Prof. Sevtsuk
spellingShingle Hidalgo, César A.
Castañer, Elisa
Sevtsuk, Andres
The amenity mix of urban neighborhoods
title The amenity mix of urban neighborhoods
title_full The amenity mix of urban neighborhoods
title_fullStr The amenity mix of urban neighborhoods
title_full_unstemmed The amenity mix of urban neighborhoods
title_short The amenity mix of urban neighborhoods
title_sort amenity mix of urban neighborhoods
url https://hdl.handle.net/1721.1/128824
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