Skip to main content

Analysis and Classification of Public Spaces Using Convex and Solid-Void Models

  • Chapter
Future City Architecture for Optimal Living

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 102))

Abstract

Urban planning and design are increasingly often supported by analytical models of urban space. We present a method of representation for analysis and classification of open urban spaces based on physical measures including three-dimensional data to overcome some observed limitations of two-dimensional methods. Beginning with “convex voids” constructed from 2D plan information and 3D data including topography and building facade heights, we proceed to “solid voids” constructed by aggregation of convex voids. We describe rules for construction of both convex voids and solid voids, including basic forms and their adjustment for perception. For analysis we develop descriptive characteristic values such as enclosure, openness, granularity and connectivity, derived from more basic geometric properties of the void representations. We also show how combinations of these values can be correlated with urban open space typologies, including commonly accepted traditional ones as well as previously unnamed classes of space. Concluding with discussion of some future planned developments in this work, we also propose that such methods can contribute to better understanding of the relations between urban forms and their perception and use, so as to guide urban transformations for improved urban quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Hillier and Hanson propose a notation identifying steps in territorial depth from the most global or public as Y to the most local or private as X. Steps in public space towards the most global are denoted as y steps in y space; and steps in private space towards the most private are x steps in x space.

  2. 2.

    Hillier and Hanson describe an algorithmic procedure for drawing the convex map as: «(…) find the largest convex space and draw it in, then the next largest, and so on until all the space is accounted for.» (page 98).

  3. 3.

    Strictly objectively speaking, of course, all contiguous spaces are one, and the mere opening or closing of a portal potentially reconfigures a vast space/network of potential movement.

  4. 4.

    Portuguese medieval towns usually contain a long winding street crossing the grid called “rua direita” (ironically meaning straight street). Lisbon centre is accessed by very old streets with similar characteristics which can still be seen entirely or partially within its complex superposition of old and new grids. “Rua das Portas de St Antão” and “Rua dos Anjos” are two examples of such streets and many others can be identified.

  5. 5.

    Note that non-metric criteria can also be used, but in such cases only sorting, not ranking, is possible on that/those dimension(s).

References

  1. Ratti, C.: Urban texture and space syntax: Some inconsistencies. Environ. Plan. B Plan. Des. 31(4), 487–499 (2004)

    Article  Google Scholar 

  2. Hillier, B., Penn, A.: Rejoinder to Carlo Ratti. Environ. Plan. B Plan. Des. 31(4), 501–511 (2004)

    Google Scholar 

  3. Habraken, N.J.: The Structure of the Ordinary, p. 40. MIT Press, Cambridge (2000)

    Google Scholar 

  4. Nan, L., Sharf, A., Xie, K., Wong, T.-T., Deussen, O., Cohen-Or, D., Chen, B.: Conjoining gestalt rules for abstraction of architectural drawings. ACM Trans. Graph. 30(6), 185:1–185:10 (2011)

    Article  Google Scholar 

  5. Alexander, C.: A city is not a tree. Ekistics 139, 344–348 (1968)

    Google Scholar 

  6. Hillier, B., Hanson, J.: The Social Logic of Space. Cambridge University Press, Cambridge (1984)

    Book  Google Scholar 

  7. Marshall, S.: Streets & Patterns. Routledge, London (2005)

    Google Scholar 

  8. Dhanani, A., Vaughan, L., Ellul, C., Griffiths, S.: From the axial line to the walked line: Evaluating the utility of commercial and user-generated street network datasets’ in space syntax analysis. In: Proceedings of the 8th International Space Syntax Symposium (2012).

    Google Scholar 

  9. Jiang, B., Claramunt, C.: Integration of space syntax into GIS: New perspectives for urban morphology. Trans. GIS 6(3), 295–309 (2002)

    Article  Google Scholar 

  10. Beirão, J.: CItyMaker: Designing Grammars for Urban Design. CreateSpace Independent Publishing Platform, Charleston (2012)

    Google Scholar 

  11. Beirão, J., Arrobas, P., Duarte, J.P.: Parametric urban design: Joining morphology and urban indicators in a single interactive model. In: Achten H., Pavlicek J., Hulin J., Matejdan D. (eds.) Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1/ISBN 978-9-4912070-2-0, pp.167–175, Czech Technical University in Prague, Faculty of Architecture (Czech Republic), 12–14 September 2012.

    Google Scholar 

  12. Gil, J., Beirão, J.N., Montenegro, N., Duarte, J.P.: On the discovery of urban typologies: Data mining the multi-dimensional morphology of urban areas. Urban Morphol. 16(1), 27–40 (2012)

    Article  Google Scholar 

  13. Sokmenoglu, A., Gulen, C., Sevil, S.: A multi-dimensional exploration of urban attributes by data mining. In: Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures/ISBN 9782874561429], pp. 333–350, Liege (Belgium) 4–8 July 2011.

    Google Scholar 

  14. Chaszar, A.: Navigating complex models in collaborative work for integrated and sustainable design. In: Proceedings, CAADFutures, Liege (2011a).

    Google Scholar 

  15. Chaszar, A.: Spatial query and object recognition to support 3D digital building model use. EG-ICE workshop, Twente (2011b).

    Google Scholar 

  16. Chaszar, A., Beirão, J.N.: Feature recognition and clustering for urban modelling. In Proceedings, CAADRIA, Singapore (2013)

    Google Scholar 

  17. Beirão, J.N., Chaszar, A., Cavic, L.: Convex- and solid-void models for analysis and classification of public space. In: Proceedings, CAADRIA, Kyoto (2014).

    Google Scholar 

  18. Beng-Huat, C.: Decoding the political in civic spaces: An interpretive essay. In: Chua, B.H., Edwards, N. (eds.) Public Space: Design, Use, and Management, pp. 55–68. Singapore University Press, Singapore (1992)

    Google Scholar 

Download references

Acknowledgments

Ljiljana Cavic is a PhD scholarship holder funded by FCT (Fundação para a Ciência e Tecnologia Portugal) with a reference SFRH/BD/76730/2011

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to José Nuno Beirão .

Editor information

Editors and Affiliations

Appendix: Summary of Measures Extracted from Convex- and Solid-Voids’ Model

Appendix: Summary of Measures Extracted from Convex- and Solid-Voids’ Model

Convex-voids’ generation

Convex-voids’ height

cv H

\( {}_{\mathrm{cv}}H=\left(\Sigma {A}_{\mathrm{f}}\right){\!/\!}{P}_{\mathrm{s}} \)

Convex-voids’ height is derived from the average height of surrounding buildings

Corrected convex-voids’ height

cv H c

\( {}_{\mathrm{c}\mathrm{v}}{H}_{\mathrm{c}}={}_{\mathrm{c}\mathrm{v}}H+{}_{\mathrm{c}\mathrm{v}}H_{\mathrm{adj}} \)

Corrected convex-voids’ height is sum of convex-void height with the height adjustment value (cv H adj) which can be positive or negative depending on the characteristics of the surrounding spaces

Convex-voids’ characteristics

Area

cv A

  

Volume

cv V

  

Shape

   

Aspect ratio

   

Convex-voids properties

Spaciousness/containment

\({{}_{\mathrm{cv}}S} {{}_{\mathrm{cv}}C}\)

\( \begin{array}{lll}{{}_{\mathrm{cv}}S={A}_{\mathrm{g}}/{A}_{\mathrm{fv}}} \\ {{}_{\mathrm{cv}}C={A}_{\mathrm{fv}}/{A}_{\mathrm{g}}}\end{array}\)

Spaciousness/containment represents the relation between the area of the convex-void façades and its floor area

Enclosure/openness to vision

cvEV cvOV

\( \begin{array}{lll}{_{\mathrm{cv}}\mathrm{E}\mathrm{V}={P}_{\mathrm{e}}{\!/\!}{P_{\mathrm{s}}}_{\mathrm{cv}}}\\ {\mathrm{O}\mathrm{V=1{\hbox{--}}} _{\mathrm{cv}}\mathrm{E}\mathrm{V}}\\ {\left({P}_{\mathrm{ev}}+{P}_{\mathrm{ov}}={P}_{\mathrm{s}}\right)}\end{array}\)

Enclosure/openness encodes the proportion of open or closed vs total perimeter

Perceived enclosure/openness to vision

cvEV pcvOVp

\( \begin{array}{lll}{{}_{\mathrm{cv}}{\mathrm{OV}}_{\mathrm{p}}=}\\{\left(\Sigma {A}_{\mathrm{fv}}\hbox{--}\ \Sigma {A}_{\mathrm{fv}\mathrm{adj}}\right){\!/\!}\Sigma {A}_{\mathrm{fv}}}\end{array}\)

Perceived enclosure/openness is a percentage of a convex-void’s faces that is overlapped by surrounding ones

Enclosure/openness to movement

cvEM cvOM

\( \begin{array}{lll}{{}_{\mathrm{cv}}\mathrm{E}\mathrm{M}={P}_{\mathrm{em}}/{P}_{\mathrm{s}}}\\{{}_{\mathrm{cv}}\mathrm{O}\mathrm{M}=1\hbox{--} {}_{\mathrm{cv}}\mathrm{E}\mathrm{M}=}\\{\left({P}_{\mathrm{em}}\hbox{--} {P}_{\mathrm{s}}\right){\!/\!}{P}_{\mathrm{s}}}\end{array}\)

Enclosure/openness to movement takes into account obstacles to movement

Solid-voids properties

Number of convex-void particles

sv N

 

Number of convex-voids that are forming the solid-void

Length of solid-void

sv L

 

Sum of the lengths of all street segments forming the solid-void

Number of façades within a solid-void

sv N f

  

Granulation of built structure of solid-void

sv G

 

Number of façades per hundred metres

Connectivity

svCON

 

Number of physically permeable routes leading from one solid-void toward other spaces

Perceived connectivity

svCONp

 

Number of all routes, physically permeable and not permeable, opening from one solid-void toward other spaces

Void connectivity

svVCONp

 

Number of other solid-voids connecting (or crossing) a solid-void

A g: Ground area of space

A f: Areas of buildings’ façades

A fv: Area of vertical faces of convex-voids

A fn: Areas of neighbourhoods’ façades

A fvadj: Area of vertical faces of adjoining convex-voids

cv H adj: Height adjustment (=G H × (3/Sqrt(9 + A g)))

G H: Gross height correction value ((A f − A fn)/P s)

L f: Length (on ground) of façades (excl. 0-height)

P s: Total perimeter of space

P ev: Length of perimeter closed to vision (=ΣL f)

P ov: Length of perimeter opened to vision

P em: Length of perimeter closed to movement

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Beirão, J.N., Chaszar, A., Čavić, L. (2015). Analysis and Classification of Public Spaces Using Convex and Solid-Void Models. In: Rassia, S., Pardalos, P. (eds) Future City Architecture for Optimal Living. Springer Optimization and Its Applications, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-319-15030-7_13

Download citation

Publish with us

Policies and ethics