325 961 1 PB

ANALELE ŞTIINTIFICE ALE UNIVERSITĂŢII
„ALEXANDRU IOAN CUZA” din IAŞI

Tom LX, nr.1, s. IIc, Geografie 2014
ISSN 1223-5334 (printed version)

SCIENTIFIC ANNALS OF
„ALEXANDRU IOAN CUZA” UNIVERSITY OF IAŞI

Volume LX, no.1, s. II c, Geography series 2014
(online version) 2284-6379 eISSN

© Author(s) 2014. CC Attribution 3.0 License

DELINEATING CATCHMENT AREAS FOR THE EASTERN EUROPEAN
AIRPORTS IN 2010
- PRELIMINARY RESULTS OF THE ESPON DATABASE 2 M4D
PROJECT –
Alexandru RUSU, 2Alexandru BĂNICĂ, 3Andreea BURAGA, 4Lucian ROȘU

1

“Alexandru Ioan Cuza” University of Iași, Romania [e-mail], [e-mail], [e-mail],
4
[e-mail]

1

Abstract: This paper investigates the relation between the LAU2 centroids of selected countries in Eastern Europe and the closest airports, in terms of contribution to the construction of the theoretical catchment areas for these air nodes. Using time distances calculated in the road network and demographic mass of 2010, the methodology we propose is a reproductible guideline for the estimation of the relation between different geographical objects that match on an administrative geometry, at local level. Taking a conceptual distance to notions such as spatial accessibility or potential of interaction, we delineated the catchment areas based on the relative demographic contribution of the LAU2 to the construction of the airports ' territorial service areas. The main challenge we faced is not the complexity of the model, but the proper estimation of the time distances in the road network and the implementation of cumulated population functions that can be mapped, in order to decline our objective - the territorial catchment areas of the airports.
Keywords: catchment areas, time distances, cumulated population functions, VIGO, LAU2

I. INTRODUCTION
In the ESPON DATABASE 2 M4D Project, a specific work-package is dedicated to the construction of indicators related to the LAU2 geometry (local

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