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Massachusetts Institute of Technology

Beyond city size : characterizing and predicting the location of urban amenities

Abstract

dc:description.abstract

Intercity studies have shown that a city's characteristics -ranging from infrastructure to crime-scale as a power of its population. These studies, however, have not been extended to the intra-city scale, leaving open the question of how urban characteristics are distributed within a city. Here we study the spatial organization of one important urban characteristic: its amenities, such as restaurants, cafes, and libraries. We use a dataset summarizing the position of more than 1.2 million amenities disaggregated into 74 distinct categories and covering 47 U.S. cities to show that: (i) the spatial distribution of amenities within a city is characterized by dense agglomerations of amenities (which we call micro-clusters), (ii) that unlike in the intercity case, size is a poor predictor of the amenities of each type that locate in each micro-cluster, and (iii) that the number of amenities of each type in a micro-cluster is better predicted using information on the collocation of amenities observed across all micro-clusters than using the micro-cluster's size. Finally, we use these findings to create a recommendation algorithm that suggests amenities that are missing in a micro-cluster and can inform the efforts of developers and planners looking to construct and regulate the development of new and existing neighborhoods.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ensenat, Elisa Castaner
Advisor dc:contributor.advisor
  • Cesar A. Hidalgo.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/100296
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/100296

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ensenat, Elisa Castaner. Beyond city size : characterizing and predicting the location of urban amenities. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100296