<p>This study examines the spatial distribution of everyday urban conflicts in Astana, conceptualizing them as embedded in the organization of urban space rather than isolated events. Using a dataset of 176 cases from 2023–2025, it applies spatial statistical methods, including the Nearest Neighbor Index, Ripley’s K-function, Getis–Ord Gi*, and DBSCAN clustering. The results reveal significant clustering across multiple scales, indicating a highly structured, non-random pattern. Conflicts form a multi-nodal structure, concentrating in areas of high functional and social density. While the left and right banks display similar clustering intensity, their conflict types differ, suggesting a decoupling of spatial form and content. The study interprets clusters as zones of intensified urban friction and highlights the role of urban morphology in shaping conflict potential.</p>

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Urban friction and the spatial structure of conflict: a multi-scalar analysis of Astana

  • Dmitry Mikhailov,
  • Nikolay Ternov,
  • Zoya Otto

摘要

This study examines the spatial distribution of everyday urban conflicts in Astana, conceptualizing them as embedded in the organization of urban space rather than isolated events. Using a dataset of 176 cases from 2023–2025, it applies spatial statistical methods, including the Nearest Neighbor Index, Ripley’s K-function, Getis–Ord Gi*, and DBSCAN clustering. The results reveal significant clustering across multiple scales, indicating a highly structured, non-random pattern. Conflicts form a multi-nodal structure, concentrating in areas of high functional and social density. While the left and right banks display similar clustering intensity, their conflict types differ, suggesting a decoupling of spatial form and content. The study interprets clusters as zones of intensified urban friction and highlights the role of urban morphology in shaping conflict potential.