Urban complexity and its relationship with the morphology of urban fabrics and proximity
DOI:
https://doi.org/10.37230/CyTET.2022.M22.10Keywords:
Urban complexity, Information, Mixed uses, Proximity, Urban morphologyAbstract
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
How to Cite
Issue
Section
License
Copyright (c) 2022 Salvador Rueda-Palenzuela
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Considering the provisions of the current legislation on Intellectual Property, and in accordance with them, all authors publishing in CyTET give -in a non-exclusive way and without time limit- to the Ministry of Transport, Mobility and Urban Agenda the rights to disseminate, reproduce, communicate and distribute in any current or future format, on paper or electronic, the original or derived version of their work under a Creative Commons Attribution-NonCommercial-NoDerivative 4.0 license International (CC BY-NC-ND 4.0), as well as to include or assign to third parties the inclusion of its content in national and international indexes, repositories and databases, with reference and recognition in any case of its authorship.
In addition, when sending the work, the author(s) declares that it is an original work in which the sources that have been used are recognized, committing to respect the scientific evidence, to no longer modify the original data and to verify or refute its hypothesis. Author(s) also declare that the essential content of the work has not been previously published nor will it be published in any other publication while it is under evaluation by CyTET; and that it has not been simultaneously sent to another journal.
Authors must sign a Transfer of Rights Form, which will be sent to them from the CyTET Secretariat once the article is accepted for publication.
With the aim of promoting the dissemination of knowledge, CyTET joins the Open Journal Access (OA) movement and delivers all of its content to various national and international indexes, repositories and databases under this protocol; therefore, the submission of a work to be published in the journal presupposes the explicit acceptance by the author of this distribution method.
Authors are encouraged to reproduce and host their work published in CyTET in institutional repositories, web pages, etc. with the intention of contributing to the improvement of the transfer of knowledge and the citation of said works.