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Network based definition of functional regions: A graph theory approach for spatial distribution of traffic flows

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12410%2F20%3A43902077" target="_blank" >RIV/60076658:12410/20:43902077 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15310/20:73603203

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0966692320303288" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0966692320303288</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jtrangeo.2020.102855" target="_blank" >10.1016/j.jtrangeo.2020.102855</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Network based definition of functional regions: A graph theory approach for spatial distribution of traffic flows

  • Original language description

    Functional regions are autonomous (internally coherent and externally self-contained) spatial structures based on vector data, so-called spatial interactions. Typically, travel-to-work, travel-to-school flows and migrations are analysed by various methods of functional regional taxonomy in order to define functional regions. There is still another type of statistically recorded vector data which has, up to now, rarely been used for this purpose: traffic flows. However, these data differ distinctly from the above mentioned flows. In this paper we pursue two objectives: (i) to define functional transport regions based on a graph theoretic analysis of individual traffic flows, and (ii) to add knowledge to the issue of the self-containment of functional transport regions. The specific nature of transport data compared to the above-mentioned spatial interactions requires a specific methodological approach, which is presented in the paper. The existing graph theoretic procedures do not seem suitable for the definition of functional transport regions due to data specifics. Therefore our analysis is based on a rough analogy to the minimum cut method – we identify minimum flows in a graph representing a transport network. The territory of the Czech Republic is used as the example. Two regional systems are defined (based on 2000 and 2016 data) and compared in time. The paper achieves two main findings. First, the proposed methodological approach allows us to define autonomous functional transport regions, and the means to calculate their self-containment is discussed. Second, functional transport regions in the Czech Republic show unexpected stability over time compared to functional regions based on such spatial interactions as commuting flows.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Result continuities

  • Project

    <a href="/en/project/GA20-21360S" target="_blank" >GA20-21360S: Spatial interactions and their conceptualisation: analysis of selectivity, uncertainty and hierarchy</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Transport Geography

  • ISSN

    0966-6923

  • e-ISSN

  • Volume of the periodical

    88

  • Issue of the periodical within the volume

    říjen

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

    000582208900041

  • EID of the result in the Scopus database

    2-s2.0-85090295852