Hu, Demin; Law, Stephen; Krenz, Kimon; Kayvan, Karimi; (2024) Exploring Pervasive Centres and Fuzzy Boundaries. A Spatial Configuration Analysis of Commercial Cognitive Regions in Shanghai. In: Space Syntax Symposium 14: Proceedings of the 14th International Space Syntax Symposium (SSS14). (pp. pp. 3357-3380). tab edizioni: Rome, Italy.

Preview

PDF sss142024_final_paper_93.pdf - Published Version Download (1MB) | Preview

Abstract

This study is centred on the topic of cognitive regions and boundaries. Previous related research has improved the understanding of the human perception of urban ‘places’ and has been successful in informing urban planning practice and guiding real estate development. While numerous studies have explored human-perceived regions and boundaries using geographical data, there exists a gap in integrating spatial configuration models with social perceptions of cognitive regions derived from social media data. This study seeks to refine popular identification methods by employing space syntax measures, which have successfully linked spatial morphology to human behaviour, particularly pedestrian footfall. The study focus is on the named boundaries of commercial cognitive regions in the city of Shanghai. The study's primary novelty lies in the methodological proposal of space-syntax-adjusted clustering methods, named as ssx_AggCluster. This approach builds on space syntax theory, particularly the concepts of 'pervasive centres’ and 'fuzzy boundaries’ and hypothesizes that space syntax measures may reflect the solidarity and evolution of commercial regional boundaries. The study incorporates commercial Points of Interest (POI) data from social media into a street network model from Open Street Map data and tests three clustering algorithms (DBSCAN, K-means, and Agglomerative Clustering) using network distance. The calculated configuration boundaries of commercial regions in Shanghai are then compared with ownergenerated cognitive boundaries from social media data. A space syntax adjusted clustering algorithm successfully classified over 60% of POI points for Shanghai. This finding suggests that spatial configuration plays a significant role in shaping human perception of named places in an urban context.

Download activity - last month

Export as JSONCSVXML

Download activity - last 12 months

Export as XMLCSVJSON

Downloads by country - last 12 months

Export as CSVXMLJSON

Archive Staff Only

View Item