Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics

The impact of micro-level people’s activities on urban macro-level indicators is a complex question that has been the subject of much interest among researchers and policymakers. Transportation preferences, consumption habits, communication patterns and other individual-level activities can signific...

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Bibliographic Details
Main Authors: Ricardo Muñoz-Cancino, Sebastián A. Ríos, Manuel Graña
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
activity patterns
clustering models
geotagged data
City Innovation Index
Online Access:https://www.mdpi.com/1424-8220/23/11/5165

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