Spatial Analysis of Peri-Urban Areas of Bucharest in the Context of Big Data

Grădinaru Giani-Ionel () and Maricuț Alin-Cristian ()
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Grădinaru Giani-Ionel: Bucharest University of Economic Studies, Romanian Academy, The National Institute of Economic Research, Bucharest, Romania
Maricuț Alin-Cristian: Bucharest University of Economic Studies, Bucharest, Romania

Proceedings of the International Conference on Business Excellence, 2024, vol. 18, issue 1, 27-42

Abstract: The territorial expansion of the Bucharest-Ilfov region is a continuous process. This expansionist process is not always followed by an increase in the quality of life of the citizens, because in order to produce this effect, it is important that the territorial expansion is carried out in all branches (road infrastructure, residential buildings, access to medical services, access to education, access to shared public transport). As the specialized literature observes a chaotic development of this region, the research aims to analyze the peri-urban areas of the Municipality of Bucharest and the 6 sectors of the Municipality of Bucharest from the perspective of citizens' access from residential buildings to 3 basic services of society (transport, education and medicine), but also the identification of the spatial association relationship between the 6 sectors and peri-urban areas. In order to achieve these objectives, geospatial data of the big-data type were extracted, more precisely by extracting them with the help of artificial intelligence from satellites, and then processing these data. Also, the selected sample includes the 6 sectors of the Municipality of Bucharest, as well as the peri-urban areas. The main results indicate real development discrepancies both at the level of the 6 sectors of the Municipality of Bucharest, and at the level of the peri-urban areas, on all 3 dimensions analyzed. In addition, with the exception of two semi-significant local spatial autocorrelations, it cannot be stated that there is a spatial association relationship between the units in the sample, the development gaps being the result of the decision-making process at the local public administration level. Through the research results, development directions of the peri-urban areas and the 6 sectors can be identified to increase the quality of life of their citizens.

Keywords: spatial analysis; peri-urban; urban development; geospatial data; big data (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:18:y:2024:i:1:p:27-42:n:1001

DOI: 10.2478/picbe-2024-0004

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