 Characterizing urban spatial structure through built form typologies: A new framework using clustering ensemblesJianqi Li and Chaosu Li Land Use Policy, 2024, vol. 141, issue C Abstract: Prior research on urban form typologies has largely relied on qualitative classification methods, resulting in subjective and limited analyses. Recently, the emerging data-intensive studies often use a single clustering algorithm and parameter setting, raising concerns about the reliability of the findings. This paper introduces a novel clustering analytical framework for conducting typological studies on urban form that yield stable and reliable results. We employ clustering ensembles, which can combine multiple clustering algorithms to further provide a comprehensible output that facilitates interpretation and knowledge generation. By applying the new framework using 3D building data in Guangzhou, we identify eight typologies of urban built forms and reveal a consistent polycentric pattern across different clustering algorithms and parameter settings. The findings have implications for urban land use planning and regulations by integrating 3D representations of urban form. Keywords: Urban land use; Urban form; Clustering ensembles; Clustering analysis; China (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:141:y:2024:i:c:s0264837724001194 DOI: 10.1016/j.landusepol.2024.107166 Access Statistics for this article Land Use Policy is currently edited by Jaap Zevenbergen More articles in Land Use Policy from Elsevier |
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