Unified Urban Growth Pattern Identification Utilizing a Co-Clustering Tendency and Co-Clusters of Building Density and Diversity

Density and diversity are fundamental attributes of urban environments, shaped by complex land use patterns that evolve over time. This study conducted a comprehensive spatiotemporal analysis of urban growth in two adjacent mid-sized cities, Cheonan and Asan, Korea, employing a spatial statistical framework designed to capture the intricate interplay between building density and diversity. Unlike traditional approaches that analyzed these factors independently, this study integrated both measures into a unified analytical model, identifying zones where high density and high diversity co-clustered over the past two decades. The empirical findings show a consistent monocentric growth pattern across both cities, while also uncovering emergent areas of strong co-clustering, indicating a shift towards more integrated land use practices. This spatial overlap points to a synchronized development trajectory and suggests the potential conurbation of the two cities. By examining the co-clustering dynamics of density and diversity, this study provides new insights into urban development processes, offering valuable guidance for planners and policymakers in shaping future growth strategies.

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Publication Details

Journal
Land
Published
2024-12-03
DOI
https://doi.org/10.3390/land13122083
Primary Topic
Land Use and Ecosystem Services
Type
article
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article

Unified Urban Growth Pattern Identification Utilizing a Co-Clustering Tendency and Co-Clusters of Building Density and Diversity

Gyoungju Lee, Jiyoung Park
Land
Land Use and Ecosystem Services
article

Unified Urban Growth Pattern Identification Utilizing a Co-Clustering Tendency and Co-Clusters of Building Density and Diversity

Gyoungju Lee, Jiyoung Park
article en

Abstract

Density and diversity are fundamental attributes of urban environments, shaped by complex land use patterns that evolve over time. This study conducted a comprehensive spatiotemporal analysis of urban growth in two adjacent mid-sized cities, Cheonan and Asan, Korea, employing a spatial statistical framework designed to capture the intricate interplay between building density and diversity. Unlike traditional approaches that analyzed these factors independently, this study integrated both measures into a unified analytical model, identifying zones where high density and high diversity co-clustered over the past two decades. The empirical findings show a consistent monocentric growth pattern across both cities, while also uncovering emergent areas of strong co-clustering, indicating a shift towards more integrated land use practices. This spatial overlap points to a synchronized development trajectory and suggests the potential conurbation of the two cities. By examining the co-clustering dynamics of density and diversity, this study provides new insights into urban development processes, offering valuable guidance for planners and policymakers in shaping future growth strategies.

LandVol. 13(12)
Korea National University of Transportation (KR), University at Buffalo, State University of New York (US)
Sustainable cities and communities
Openalex Percentile: Top 81%
Land Use and Ecosystem Services
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Unified Urban Growth Pattern Identification Utilizing a Co-Clustering Tendency and Co-Clusters of Building Density and Diversity — Gyoungju Lee, Jiyoung Park · Land (2024) | TGRS Research Map | TGRS