Volume 24 issue 2-4 june 2020



Authors: Emrah Söylemez, Çiğdem Varol

Abstract: The article proposes a cross-border mobility model for borderlands by developing a multivariate socio-spatial index. Existing methods of evaluating cross-border mobility tend to focus simply on physical and security dimensions of the state borders. However, because of the complex dynamics of the relationships among the countries, a multidimensional approach including the economic, social, administrative and spatial relationships have to be considered holistically. The proposed cross-border mobility modeling and index methodology includes spatial and non-spatial multivariate data for assessing the permeability of state borders by using fuzzy logic methods. GIS techniques are used to combine economic, social, administrative and spatial dimensions of relationships for creating the multivariate sociospatial index and to visualize the results. The results of the proposed methodology applied to the borderlands of Turkey and the neighboring countries show that measuring the degree of cross-border mobility can improve the understanding of relationships among the states for developing more effective cross-border policies.

Keywords: cross-border mobility, multivariate index, socio-spatial data, fuzzy membership

DOI: 10.5937/gp24-23805

Article info:

Received: October 29, 2019 | Revised: December 29, 2019 | Accepted: December 30, 2019

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