Proceedings of ISP RAS

Fractal Analysis of Growing Cities and its Relationship with Health Centre Distribution

C.E. Leyton-Pavez (U. Bio Bio, Chillan, Chile; UPC Barcelona, Spain)
J.M. Redondo (UPC, Barcelona, Spain)
A.M. Tarquis-Alfonso (UPM, Madrid, Spain)
J.C. Gil-Martín (UPC, Barcelona, Spain)
J.D. Tellez-Alvarez (UPC, Barcelona, Spain)


During recent years, many research group interested in the study of organizational networks from different fields, e.g. studies of behavior of cities growth following the fractal theory. Considering the fractal analysis as a strong tools to analyse the relation between grow of cities and its relation with health center distribution. The propose of this paper is to develop a methodology based on a fractal analysis framework of Chilean public health networks, the population growth of cities and the location of health centers. To produce empirical approach for the analysis of the locations of health centers and its effects. On the other hand the health has been related to other sciences, a clear example is the physics and the mathematics, where we found many studies related with the geometry to understood the nature of the multiple natural shapes, its developed was called fractal nature or mathematic fractal model, this approach consider the different scales. For this reason, we present in this paper some preliminary ideas and some initial results of the analysis of the complex and fractal behavior of urban expansion, and its relation to the location of public health centers through simple counters algorithms and spectral methods using ImaCal software. The study health patterns will become a useful tool for understanding human flow and behavior of health center, where using a traditional measurement as equipment has serious problems and limitations.


Multi-Fractals; Urban growth; City hospitals; Health centres; Nonlinear process; Chile health centres


Proceedings of the Institute for System Programming, vol. 29, issue 2, 2017, pp. 201-214.

ISSN 2220-6426 (Online), ISSN 2079-8156 (Print).

DOI: 10.15514/ISPRAS-2017-29(2)-7

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