Uncover the nature of overlapping community in cities

Peng Luo; Di Zhu

doi:10.48550/arxiv.2402.00222

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Uncover the nature of overlapping community in cities

Preprint

Open access

Uncover the nature of overlapping community in cities

Peng Luo and Di Zhu

arXiv

01/31/2024

DOI: 10.48550/arxiv.2402.00222

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https://doi.org/10.48550/arxiv.2402.00222View

Preprint (Author's original) This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

Urban spaces, though often perceived as discrete communities, are shared by various functional and social groups. Our study introduces a graph-based physics-aware deep learning framework, illuminating the intricate overlapping nature inherent in urban communities. Through analysis of individual mobile phone positioning data at Twin Cities metro area (TCMA) in Minnesota, USA, our findings reveal that 95.7 % of urban functional complexity stems from the overlapping structure of communities during weekdays. Significantly, our research not only quantifies these overlaps but also reveals their compelling correlations with income and racial indicators, unraveling the complex segregation patterns in U.S. cities. As the first to elucidate the overlapping nature of urban communities, this work offers a unique geospatial perspective on looking at urban structures, highlighting the nuanced interplay of socioeconomic dynamics within cities.

Computer Science - Learning

Physics - Physics and Society

Details

Title: Subtitle: Uncover the nature of overlapping community in cities
Creators: Peng Luo
Di Zhu
Resource Type: Preprint
Publication Details: arXiv
DOI: 10.48550/arxiv.2402.00222
ISSN: 2331-8422
Publisher: arXiv
Language: English
Date posted: 01/31/2024
Academic Unit: School of Earth, Environment, and Sustainability; Center for Social Science Innovation
Record Identifier: 9985222735102771

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