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Delimitation of functional transport regions: understanding the transport flows patterns at the micro-regional level

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12410%2F17%3A43896348" target="_blank" >RIV/60076658:12410/17:43896348 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/17:10365243

  • Result on the web

    <a href="http://dx.doi.org/10.1080/04353684.2017.1291741" target="_blank" >http://dx.doi.org/10.1080/04353684.2017.1291741</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/04353684.2017.1291741" target="_blank" >10.1080/04353684.2017.1291741</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Delimitation of functional transport regions: understanding the transport flows patterns at the micro-regional level

  • Original language description

    The main purpose of the article is the delimitation of functional regions in the Czech Republic based on the car transport flows. We argue that the traditionally used criteria for delimitation of functional regions (especially based on commuting to work flows) gradually losing their value. Therefore, we delimited functional regions as newly defined transport regions. Spatially expressed transport flows are unique indicators of complex spatial relations. We work with the daily intensities of car transport, which tend to create apparent nodal structures. Nodal structures are evident in particular at the micro-regional level, since transport flows reflect polarization between cities and their hinterlands. We use the concept of local minimum of transport intensities to delimit the boundaries of transport regions. As a result, we defined 235 functional transport regions (FTR) in the Czech Republic, which reflect the core-hinterland polarization. The delimited FTR represent logically arranged functional units, which we have subsequently compared with other types of functional regions. During these comparisons with various types of regions, we concluded that the greatest correlations are achieved with the regions of commuting to services.

  • 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/GAP404%2F12%2F1035" target="_blank" >GAP404/12/1035: Spatial Dynamics of Transport Relationship in Settlement System of Czechia</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Geografiska Annaler Series B: Human Geography

  • ISSN

    0435-3684

  • e-ISSN

  • Volume of the periodical

    99

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    79-93

  • UT code for WoS article

    000400686900005

  • EID of the result in the Scopus database