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Identifying building typologies and their spatial patterns in the metropolitan areas of Marseille and Osaka

  • Spatial Analysis and Modeling
  • Published:
Asia-Pacific Journal of Regional Science Aims and scope Submit manuscript

Abstract

Buildings are an essential component of urban form. Urban morphologists know that buildings can be classified by type, but types are specific to given cultural areas. In a transnational context, detailed expert knowledge is not always available, hence the need for identifying typologies of buildings inductively from large urban databases exists. This paper presents the application of a Bayesian Network clustering protocol to buildings and the study of the spatial aggregates of the obtained family types for two metropolitan areas located in countries with marked cultural and societal differences: Osaka-Kobe in Japan and Marseille-Provence in France. Six indicators of building characteristics are calculated and used to perform the clustering: Footprint Surface, Elongation, Convexity, Number of Adjoining Neighbors, Height and Specialization. Cluster results are first extracted, detailed and analyzed and then, building type prevalence is studied at the metropolitan scale using local indicators of network-constrained clusters (ILINCS). The building families obtained through clustering show that these two coastal metropolitan areas are made up of apparently similar “ingredients” (very similar typologies are found at the relatively coarse level of detail of our study), but with different weights and spatial organization. This approach is appropriate for the automated processing of large building datasets and the results are a good entry point to study the link between building families, urban development periods and urban functions.

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Notes

  1. http://www.urbanform.org/bibliography.html.

  2. A topological neighborhood of order 3 was used to delimit the surrounding values.

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Acknowledgements

This research was carried out thanks to a Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (JSPS). This study is supported by Joint Research Program no. 774 at CSIS, UTokyo (Zmap TOWN II 2013/14 Shapefile Osaka prefecture).

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Authors and Affiliations

  1. Regional Planning and Information Laboratory, The University of Tokyo, Tokyo, Japan

    Joan Perez & Takashi Fuse

  2. Université Côte-Azur, CNRS, ESPACE, Nice, France

    Joan Perez, Giovanni Fusco & Alessandro Araldi

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  1. Joan Perez
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  2. Giovanni Fusco
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  3. Alessandro Araldi
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  4. Takashi Fuse
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Correspondence to Joan Perez.

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Perez, J., Fusco, G., Araldi, A. et al. Identifying building typologies and their spatial patterns in the metropolitan areas of Marseille and Osaka. Asia-Pac J Reg Sci 4, 193–217 (2020). https://doi.org/10.1007/s41685-019-00127-6

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  • DOI: https://doi.org/10.1007/s41685-019-00127-6

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