Geospatial Assessment of the Territorial Road Network by Fractal Method

Mikolaj Karpinski, Svitlana Kuznichenko, Nadiia Kazakova, Oleksii Fraze-Frazenko and Daniel Jancarczyk
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Mikolaj Karpinski: Department of Computer Science and Automatics, University of Bielsko-Biala, 43-300 Bielsko-Biala, Poland
Svitlana Kuznichenko: Department of Information Technologies, Odessa State Environmental University, 65016 Odessa, Ukraine
Nadiia Kazakova: Department of Information Technologies, Odessa State Environmental University, 65016 Odessa, Ukraine
Oleksii Fraze-Frazenko: Department of Information Technologies, Odessa State Environmental University, 65016 Odessa, Ukraine
Daniel Jancarczyk: Department of Computer Science and Automatics, University of Bielsko-Biala, 43-300 Bielsko-Biala, Poland

Future Internet, 2020, vol. 12, issue 11, 1-13

Abstract: This paper proposes an approach to the geospatial assessment of a territorial road network based on the fractals theory. This approach allows us to obtain quantitative values of spatial complexity for any transport network and, in contrast to the classical indicators of the transport provisions of a territory (Botcher, Henkel, Engel, Goltz, Uspensky, etc.), consider only the complexity level of the network itself, regardless of the area of the territory. The degree of complexity is measured by a fractal dimension. A method for calculating the fractal dimension based on a combination of box counting and GIS analysis is proposed. We created a geoprocessing script tool for the GIS software system ESRI ArcGIS 10.7, and a study of the spatial pattern of the transport network of the Ukraine territory, and other countries of the world, was made. The results of the study will help to better understand the different aspects of the development of transport networks, their changes over time and the impact on the socioeconomic indicators of urban development.

Keywords: geoinformation technology; fractal dimension; territorial road network; box-counting framework; script Python; ArcGIS (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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