Related Experiment Video
Updated: Aug 28, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Towards a new paradigm for segregation measurement in an age of big data
Qing-Quan Li1,2, Yang Yue1,2, Qi-Li Gao1,2,3
1Department of Urban Informatics, Shenzhen University, Shenzhen, 518060 Guangdong China.
Abstract:
Recent theoretical and methodological advances in activity space and big data provide new opportunities to study socio-spatial segregation. This review first provides an overview of the literature in terms of measurements, spatial patterns, underlying causes, and social consequences of spatial segregation. These studies are mainly place-centred and static, ignoring the segregation experience across various activity spaces due to the dynamism of movements. In response to this challenge, we highlight the work in progress toward a new paradigm for segregation studies. Specifically, this review presents how and the extent to which activity space methods can advance segregation research from a people-based perspective. It explains the requirements of mobility-based methods for quantifying the dynamics of segregation due to high movement within the urban context. It then discusses and illustrates a dynamic and multi-dimensional framework to show how big data can enhance understanding segregation by capturing individuals' spatio-temporal behaviours. The review closes with new directions and challenges for segregation research using big data.
Related Concept Videos
Stereotypes, Prejudice, and Discrimination
Law of Segregation
Statistical Methods for Analyzing Epidemiological Data
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Detection of Gross Error: The Q Test
Quantifying and Rejecting Outliers: The Grubbs Test

