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Related Experiment Video

Updated: Jun 1, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

Measuring segregation: an activity space approach.

David W S Wong¹, Shih-Lung Shaw

¹Geography and GeoInformation Science, George Mason University, Fairfax, VA 22030, USA, dwong2@gmu.edu.

Journal of Geographical Systems

|June 7, 2011

Summary

This summary is machine-generated.

This study introduces a new method to measure segregation beyond residential areas, considering individuals' entire activity spaces. It offers a more comprehensive understanding of segregation experiences across diverse socio-geographical settings.

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Area of Science:

Sociology
Urban Studies
Geography

Background:

Existing segregation measures primarily focus on residential space.
Individual segregation experiences in non-residential socio-geographical spaces are often overlooked.
Spatially aggregated data is the norm, limiting comprehensive segregation analysis.

Purpose of the Study:

To develop a comprehensive approach for evaluating segregation beyond the residential space.
To incorporate individuals' entire activity spaces into segregation analysis.
To provide a more nuanced understanding of segregation by considering diverse socio-geographical contexts.

Main Methods:

Utilizing individuals as the fundamental units of analysis.
Applying the exposure dimension of segregation measurement.
Analyzing travel diary data and imputed racial-ethnic data from Southeast Florida.

Main Results:

The proposed measure quantifies exposure of a reference group to other groups within individuals' activity spaces.
Demonstrates a method that moves beyond residential population distribution patterns.
Highlights the potential for a more holistic evaluation of segregation.

Conclusions:

The developed approach offers a more comprehensive evaluation of segregation.
Considering entire activity spaces provides deeper insights into individual segregation experiences.
This method enhances our understanding of segregation across multiple socio-geographical spaces.