Abstract
On the face of it, cities as complex systems are made of (at least) two sub-systems: a physical sub-system, made up of buildings linked by streets, roads and infrastructure; and a human sub-system made up of movement, interaction and activity. As such, cities can be thought of as socio-technical systems. Any reasonable theory of urban complexity would need to link the social and technical sub-systems to each other. Historically, most urban models have sought to make the link through the concept of distance in the physical system as a cost in the social system, defining the physical sub-system as a set of discrete zones. Such models have proved practical tools, but over the years have contributed relatively little to the development of a more general theory of the city. Here we propose a more complex and, we believe, true-to-life model based on the definition of the physical sub-system of the city as a network of spaces – streets and roads - linking buildings, rather than as a system of discrete zones. This allows us to approach urban complexity in a new way.
Two key issues – theoretically perhaps the two key issues - in the study of complexity in general are the levels problem: how organised complexity at one level becomes elementary the next level up; and the parallel problem: how systems with different internal dynamics interact with each other. In (Cohen & Stewart 1993) a general framework for conceptualising these two problems is outlined: complex phenomena at one level commonly produce lawful (though rarely mathematically describable) emergent simplicities one level up which then have their own emergent dynamic, independent of the complex processes that created them. They call such emergent simplicities, in which ‘chaos collapses’, ‘simplexities’. Simplexities of different kinds then interact and modify each other to create ‘complicities’, or complexes of simplexities, to construct the complexity of the real world. Here it is argued that this formulation captures the problem of complexity in cities as socio-technical systems, and that we need vertical theories to capture the relations across levels, and lateral theories to capture the relations of parallel systems. We outline a vertical and a lateral theory to account for generic aspects of the emergent complexity of cities.
However, both theories require an account of the linking mechanism, and here we show that since all actions that create cities are taken by human agents, the vertical and lateral linking mechanisms necessarily involve human minds, not in the sense of real historic individuals, but in the sense of a generalised individual acting according to spatial laws which are both objective and intuitively known, in the same sense that an individual who throws a ball of paper so that its parabola leads it to land in a waste paper basket intuitively ‘knows’ the law of physics. We call this generalised human subject the ‘objective subject’ of the city, and show that by virtue of being everywhere in space and time in the formation and working of the city, it everywhere imposes its point of view on it, so that cities are cognitive formations in an even more fundamental sense than they are socio- economic formations. The cognitive sets the envelope of possibility within which socio-economic processes create the city.
This is a preview of subscription content, access via your institution.
Buying options
Preview
Unable to display preview. Download preview PDF.
References
Carvalho, R., Penn, A.: Scaling and universality in the microstructure of urban space. Physica A 332, 539–547 (2004)
Cohen, J., Stewart, I.: The Collapse of Chaos. Viking, Penguin (1994); Conroy, R.: Spatial Navigation in Immersive Virtual Environments PhD thesis University of London (UCL) (2000); Conroy Dalton, R.: The secret is to follow your nose: route path selection and angularity. Environment and Behavior 35, 107–131 (2003)
Duckham, M., Kulik, L.: “Simplest” Paths: Automated Route Selection for Navigation. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 169–185. Springer, Heidelberg (2003)
Duckham, M., Kulik, L., Worboys, M.F.: Imprecise navigation. Geoinformatica 7, 79–94 (2003)
Golledge, R.G.: Path Selection and Route Preference in Human Navigation: a Progress Report. In: Frank, A.U., Kuhn, W. (eds.) COSIT 1995. LNCS, vol. 988, pp. 207–222. Springer, Heidelberg (1995)
Hillier, B., Hanson, J.: The Social Logic of Space. Cambridge University Press, Cambridge (1984)
Hillier, B., et al.: Natural movement: or configuration and attraction in urban pedestrian movement. Environment & Planning B: Planning & Design 19 20, 29–66 (1993)
Hillier, B.: Space is the Machine. Cambridge University Press, Cambridge (1996)
Hillier, B.: The hidden geometry of deformed grids: or, why space syntax works, when it looks as though it shouldn’t. Environment and Planning B: Planning and Design 26(2), 169–191 (1999)
Hillier, B.: A theory of the city as object. Urban Design International 7, 153–179 (2002); Hillier, B., Penn, A.: Rejoinder to Carlo Ratti. Environment & Planning B: Planning and Design 31, 501–511 (2004)
Hillier, B., Iida, S.: Network and Psychological Effects in Urban Movement. In: Cohn, A.G., Mark, D.M. (eds.) COSIT 2005. LNCS, vol. 3693, pp. 475–490. Springer, Heidelberg (2005)
Hillier, B.: Spatial sustainability: organic patterns and sustainable forms. Keynote paper to the Seventh Space Syntax Symposium, Stockholm (2009)
Hillier, B.: What do we need to add to a social network to get a society? answer: something like what we have to add to a spatial network to get a city. Journal of Space Syntax 1, 1 (2010)
Hochmair, H., Frank, A.U.: Influence of estimation errors on way finding-decisions in unknown street networks — analyzing the least-angle strategy. Spatial Cognition and Computation 2, 283–313 (2002)
Kim, Y.O., Penn, A.: Linking the spatial syntax of cognitive maps to the spatial syntax of the environment. Environment and Behavior 36, 483–504 (2004)
Montello, D.R.: The Geometry of Environmental Knowledge. In: Frank, A.U., Campari, I., Formentini, U. (eds.) GIS 1992. LNCS, vol. 639, pp. 136–152. Springer, Heidelberg (1992)
Montello, D.R.: The Perception and Cognition of Environmental Distance. In: Hirtle, S.C., Frank, A.U. (eds.) COSIT 1997. LNCS, vol. 1329, pp. 297–311. Springer, Heidelberg (1997)
Sadalla, E.K., Burroughs, W.J., Staplin, L.J.: Reference points in spatial cognition. Journal of Experimental Psychology: Human Learning and Memory 6, 516–528 (1980)
Timpf, S., Volta, G.S., Pollock, D.W., Frank, A.U., Egenhofer, M.J.: A Conceptual Model of Way Finding Using Multiple Levels of Abstraction. In: Frank, A.U., Campari, I., Formentini, U. (eds.) GIS 1992. LNCS, vol. 639, pp. 348–367. Springer, Heidelberg (1992)
Turner, A.: Depthmap, v2.11 (computer program) UCL’, London (2002); introduced in Turner, A.: Depthmap: a program to perform visibility graph analysis. In: Proceedings of the Third International Symposium on Space Syntax 2001, Atlanta, GA, pp. 31.1–31.9 (2001)
Turner, A., Penn, A., Hillier, B.: An algorithmic definition of the axial map. Environment and Planning B: Planning and Design 32(3), 425–444 (2005)
Turner, A.: Angular analysis. In: Proceedings of the Third International Space Syntax Symposium, pp. 30.1– 30.11. Georgia Institute of Technology, Atlanta (2001)
Winter, S.: Modelling costs of turns in route planning. GeoInformatica 6, 345–360 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Hillier, B. (2012). The City as a Socio-technical System: A Spatial Reformulation in the Light of the Levels Problem and the Parallel Problem. In: Arisona, S.M., Aschwanden, G., Halatsch, J., Wonka, P. (eds) Digital Urban Modeling and Simulation. Communications in Computer and Information Science, vol 242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29758-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-29758-8_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29757-1
Online ISBN: 978-3-642-29758-8
eBook Packages: Computer ScienceComputer Science (R0)