Urban complexity and its relationship with the morphology of urban fabrics and proximity

Authors

  • Salvador Rueda-Palenzuela Ecólogo urbano. Director de la Fundación de Ecología Urbana y Territorial. Director de la Agencia de Ecología Urbana de Barcelona 2000/2020

DOI:

https://doi.org/10.37230/CyTET.2022.M22.10

Keywords:

Urban complexity, Information, Mixed uses, Proximity, Urban morphology

Abstract

The article addresses urban complexity and its measurement through information theory. Part of the theoretical body that academic ecology uses in natural ecosystems is transferred to urban ecosystems. The diversity of living species used to measure the complexity of natural systems becomes the diversity of legal entities (organized urban entities) in urban systems to measure the complexity of their organization. In order to extend the way of measuring urban complexity, the NACE (taxonomy of legal entities in Europe) is chosen and an iconographic dictionary is defined to generate urban messages (each organized entity has an icon that represents it). The amount of information that each message contains will be measured through the diversity of legal entities.

The relationship of complexity with morphology and density of urban fabrics is analyzed. The combination of both concepts defines the proximity to (and between) organized entities. The urban morphologies that include the highest values of urban diversity with a lower consumption of land and energy are also analyzed.

References

Adami, C (2002): “What is complexity?”. BioEssays 24: 1085-1094.

Alonso, L. (2013): Resumen del libro de Mayfield, John E. (2013): The engine of complexity. evolution as computation. Columbia University Press, Nueva York, en Mente y cerebro. Investigación y Ciencia nº 63

Anand, K. & Bianconi, G. (2009): Entropy Measures for Networks: Toward an Information Theory of Complex Topologies, Phys. Rev. E 80, 045102(R).

Arenas, A &Díaz-Guilera & Kurths, J. & Moreno, Y. & Zhou, C. (2008): Synchronization in Complex Networks, Phys. Rep. 469, 93

Capel, H. (2005): La morfología de las ciudades. II aides facere: técnica, cultura y clase social en la construcción de edificios. Barcelona. Ediciones del Serbal

Cimini, G & Squartini, T. & Saracco, F. & Garlaschelli, D. & Gabrielli, A. & Caldarelli, G. (2019): The Statistical Physics of Real-World Networks, Nat. Rev. Phys. 1, 58

Dehmer, M. (2008): Information Processing in Complex Networks: Graph Entropy and Information Functionals, Appl. Math. Comput. 201, 82.

Dehmer, M. & A. Mowshowitz, A. (2011): A History of Graph Entropy Measures, Inf. Sci. 181, 57

Jaynes, E. T. (1957): Information Theory and Statistical Mechanics, Phys. Rev. 106, 620.

Latora, V. & Nicosia, & G. Russo, (2017): Complex Networks: Principles, Methods and Applications (Cambridge University Press, Cambridge, England.

Margalef, R. (1981): La biosfera, entre la termodinámica y el juego. Ed. Blume. Margalef, R. (1986). Ecología. Editorial Omega.

Margalef, R. (1991). Teoría de los sistemas ecológicos. Entidad Editora Universitat de Barcelona.

Margalef, R. 1992). Ecología. Editorial Planeta. [Edición revisada.]

Margalef, R. (1992). Planeta Azul, Planeta Verde. Prensa Científica SA.

Margalef, R. (1995). “La ecología entre la vida real y la física teórica”. Investigación y Ciencia. Ed. Prensa Científica S.A.

Marmolejo, C. & Roca, J. (2008): «La localización intrametropolitana de las actividades de la información: un análisis para la Región Metropolitana de Barcelona 1991-2001» en Scripta Nova, vol. XII, núm. 268 http://www.ub.edu/geocrit/sn/sn-268.htm

Miralles Guasch C. & Donat C. (2007): «Análisi de l’oferta i la demanda de polígons d’activitat a Catalunya». Papers: Regió Metropolitana de Barcelona, núm. 45, 9-36.

Moomaw, R. L. (1981): Productivity and City Size: A Critique of the Evidence The Quarterly Journal of Economics, 96 (4): 675688.

Morin, E. (1994): Introducción al pensamiento complejo. Gedisa Editorial.

Morzy, M.& Kajdanowicz, T. & Kazienko, P. (2017): On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy, Complexity 2017, 3250301.

Mowshowitz A. & Dehmer, M. (2012): Entropy and the Complexity of Graphs Revisited, Entropy 14, 559.

Muñiz, I. & García López, M. A. (2010): «The polycentric Knowledge Economy in Barcelona» Urban Geography ol. 31. Núm 6. 774-779

Newman, M. (2010): Networks: An Introduction (Oxford University Press, New York.

Odum, H. T. (1980): Ambiente, energía y sociedad. Editorial Blume

Odum, H. T. & Odum, E. C. (1980): Energy basis for man on nature. Nueva York: Mc Graw Hill Inc.

Pastor-Satorras, R. & Castellano, C. & Van Mieghem, P. &Vespignani, A. (2015): Epidemic Processes in Complex Networks, Rev. Mod. Phys. 87, 925

Storper, M. (1997): The city: Centre of economic reexivity The Service Industries Journal, 17 (1): 127.

Trullén, J. & Lladó, J. & Bois, R. (2002): «Economía del conocimiento, ciudad y competitividad». Investigaciones Regionales, núm. 7, 139-163

Van Dobben. W. H. & Lowe,-Mac Connel, R. H. (1980): Conceptos unificadores en ecología. Barcelona: Ed. Blume.

Wagensberg, J. (1994): Ideas sobre la complejidad del mundo. Tusquets Editores.

Zenil, H. & Kiani, N. & Tegner, J. (2018): A Review of Graph and Network Complexity from an Algorithmic Information Perspective, Entropy 20, 551

Published

2022-02-10

How to Cite

Rueda-Palenzuela, S. (2022). Urban complexity and its relationship with the morphology of urban fabrics and proximity. Ciudad Y Territorio Estudios Territoriales, 54(M), 227–250. https://doi.org/10.37230/CyTET.2022.M22.10