Circuity of different internal networks of the districts of Budapest where pub-lic transport is available, 2019' Cover Image

Hálózati hányadosok Budapest kerületeinek közösségi közlekedéssel feltárt belső hálózataira, 2019
Circuity of different internal networks of the districts of Budapest where pub-lic transport is available, 2019'

Author(s): Tamás Kocsis, Dániel Attila Nagy
Subject(s): Social Sciences, Economy, Geography, Regional studies
Published by: Központi Statisztikai Hivatal
Keywords: Budapest; geographical space; circuity; public transport; open data; route planning

Summary/Abstract: Network analysis is not a novelty in spa-tial statistics, however, in terms of data availability and data analysis techniques, there have been many developments in the recent years. Circuity is a quantita-tive indicator characterizing the transport network and the physical structure of the space in general, com-paring the shortest distance in a straight line between any two points belonging to the network with the distance re-quired to actually get there. Our re-search goal is twofold: (1) the develop-ment of a circuity calculation methodol-ogy based on numerous amount of road segment calculations, which exploits the potential inherent in the development of information technology in recent years and could reliably characterize the structure of each territorial unit; and with the developed methodology (2) the examination of (i) car, (ii) public transport and (iii) pedestrian networks in the internal areas of the Budapest dis-tricts where public transport is available. According to the analysis, driving circui-ty in Budapest's inner-city districts, and the public transportation circuity in its outer districts indicates a tendency for a higher additional travel demand com-pared to the distance in a straight line (sinuosity). In the case of the walking circuity, the coefficient values are more homogeneous, there are no particularly large differences compared to the aver-age. The method could help spatial planning and the exploration of the rela-tionships between the spatial structure and other socio-economic indicators.

  • Issue Year: 63/2023
  • Issue No: 04
  • Page Range: 420-445
  • Page Count: 26
  • Language: Hungarian