How to assess and analyse activity spaces of adolescents in urban neighbourhoods?

Neighborhoods shape health through physical and social attributes, especially for adolescents and young adults as they gain independence and encounter new environments. A growing approach to studying these effects is mapping individuals' activity spaces. The aim of this contribution is to present and discuss initial findings for a research project that investigates adolescents' activity spaces with a focus on understanding the relationship between neighborhoods and health. We assess and analyze the activity spaces of individuals aged 15-20 in Berlin, Germany, using a web-based PPGIS to map their monthly locations. Using the provided locations, we model activity spaces using established spatial methods and calculate spatial variables in order to characterize spatial features of the activity spaces. Cluster analysis will categorize adolescents based on their activity space patterns, revealing distinct groups.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-04
DOI
https://doi.org/10.5281/zenodo.15336060
Primary Topic
Urban Design and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

How to assess and analyse activity spaces of adolescents in urban neighbourhoods?

Zenodo (CERN European Organization for Nuclear Research)
Urban Design and Spatial Analysis
article

How to assess and analyse activity spaces of adolescents in urban neighbourhoods?

article en

Abstract

Neighborhoods shape health through physical and social attributes, especially for adolescents and young adults as they gain independence and encounter new environments. A growing approach to studying these effects is mapping individuals' activity spaces. The aim of this contribution is to present and discuss initial findings for a research project that investigates adolescents' activity spaces with a focus on understanding the relationship between neighborhoods and health. We assess and analyze the activity spaces of individuals aged 15-20 in Berlin, Germany, using a web-based PPGIS to map their monthly locations. Using the provided locations, we model activity spaces using established spatial methods and calculate spatial variables in order to characterize spatial features of the activity spaces. Cluster analysis will categorize adolescents based on their activity space patterns, revealing distinct groups.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 52%
Urban Design and Spatial Analysis
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