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Identifying Clusters of Complex Urban–Rural Issues as Part of Policy Making Process Using a Network Analysis Approach: A Case Study in Bahía de Los Ángeles, Mexico

Author

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  • Javier Sandoval

    (Computer Engineering Department, Autonomous University of Baja California, 22390 Tijuana, B.C., Mexico)

  • Manuel Castañón-Puga

    (Computer Engineering Department, Autonomous University of Baja California, 22390 Tijuana, B.C., Mexico)

  • Carelia Gaxiola-Pacheco

    (Computer Engineering Department, Autonomous University of Baja California, 22390 Tijuana, B.C., Mexico)

  • Eugenio Dante Suarez

    (Finance & Decision Sciences Department, Trinity University, San Antonio, TX 78212, USA)

Abstract

Improving human settlements diagnosis is a key factor in effective urban planning and the design of efficient policy making. In this paper, we illustrate how network theory concepts can be applied to reveal the topological structure of functional relationships in a network of heterogeneous urban–rural issues. This mapping is done using clustering algorithms and centrality value techniques. By analyzing emergent groups of urban–rural related issues, our methodology was applied to a rural community, considering in this exercise environmental matters and real estate interests as a way to better understand the structure of salient issues in the context of its urban development program design. Results show clusters that arrange themselves not by an obvious similarity in their constituent components, but by relations observed in urban–rural settings that hint on the issues that the urban development program must focus. Due to its complex nature, the classification of these emerging clusters and how they must be treated in traditional planning instruments is a new challenge that this novel methodology reveals.

Suggested Citation

  • Javier Sandoval & Manuel Castañón-Puga & Carelia Gaxiola-Pacheco & Eugenio Dante Suarez, 2017. "Identifying Clusters of Complex Urban–Rural Issues as Part of Policy Making Process Using a Network Analysis Approach: A Case Study in Bahía de Los Ángeles, Mexico," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:1059-:d:101967
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    References listed on IDEAS

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    1. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331, October.
    3. Feng Xie & David M. Levinson, 2011. "Evolving Transportation Networks," Transportation Research, Economics and Policy, Springer, number 978-1-4419-9804-0, April.
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    Cited by:

    1. Rozhkov, Anton, 2024. "Applying graph theory to find key leverage points in the transition toward urban renewable energy systems," Applied Energy, Elsevier, vol. 361(C).

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