| Literature DB >> 35975273 |
Piotr Rosik1, Tomasz Komornicki1, Patryk Duma1, Sławomir Goliszek1.
Abstract
The purpose of the paper is to show how the national border closures within the EU-27 have an impact on changes in potential accessibility in individual transport at the NUTS3 level. We are referring to the situation that occurred during the COVID-19 pandemic outbreak in Europe in March 2020. The study distinguishes between long and short trips, comparing the situation before the pandemic with that after the complete closure of national borders by all EU countries, thus showing which areas of the EU will suffer from accessibility losses for both long and short trips. We conclude that the spatial pattern of regions at risk of peripheralisation for short trips well defines the zones in which a serious crisis threatens local cross-border commuting. The threat of peripheralisation for long trips mainly concerns those parts of countries which are closer to the demographic and economic core of the European Union. Nevertheless, it is also compounded by other factors: including the national settlement and road networks.Entities:
Keywords: COVID-19 pandemic; EU-27; NUTS3; Peripheralisation; Potential accessibility
Year: 2022 PMID: 35975273 PMCID: PMC9371616 DOI: 10.1016/j.tranpol.2022.07.008
Source DB: PubMed Journal: Transp Policy (Oxf) ISSN: 0967-070X
Fig. 1Number of confirmed cases COVID-19 at the regional level; March 23, 2020.
Fig. 2Road accessibility EU-27 pattern for short and long trips.
Fig. 3Percentage and absolute potential accessibility losses in the EU-27 NUTS3 regions after the closure of national borders. Short and long trips.
Fig. 4The population-population in neighbouring countries ratio vs the loss of accessibility after the closure of national borders.
Percentage and absolute potential accessibility losses in the ten most affected EU-27 NUTS3 regions. Short and long trips.
| Short trips | Long trips | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| EU state | NUTS3 | Percentage loss | EU state | NUTS3 | Absolute loss | EU state | NUTS3 | Percentage loss | EU state | NUTS3 | Absolute loss |
| Austria | Reutte | 80,5 | Netherlands | Venlo | 2126 | Luxembourg | Luxembourg | 99,1 | Luxembourg | Luxembourg | 73438 |
| Netherlands | Venlo | 71,0 | Netherlands | Maastricht | 1686 | Slovenia | Murska Sobota | 96,5 | Belgium | Eupen | 71337 |
| Netherlands | Terneuzen | 70,5 | Belgium | Eupen | 1256 | Slovenia | Ajdovscina | 96,4 | Belgium | Verviers | 69902 |
| Netherlands | Maastricht | 69,7 | Netherlands | Weert | 1202 | Slovenia | Koper | 96,4 | Netherlands | Venlo | 69870 |
| Austria | Kufstein | 68,4 | Belgium | Houthalen | 950 | Slovenia | Davograd | 96,3 | Belgium | Ličge | 69263 |
| Belgium | Arlon | 68,3 | Netherlands | Eindhoven | 948 | Slovenia | Maribor | 96,2 | Netherlands | Maastricht | 68929 |
| Belgium | Eupen | 67,5 | Germany | Kleve | 934 | Slovenia | Postojna | 96,1 | Belgium | Tongeren | 68667 |
| Belgium | Virton | 67,4 | Belgium | Verviers | 929 | Slovenia | Kranj | 96,1 | Belgium | Hasselt | 68087 |
| Luxembourg | Luxembourg | 63,4 | Belgium | Turnhout | 925 | Slovenia | Ljubljana | 95,9 | Belgium | Houthalen | 67872 |
| Austria | Bregenz | 63,0 | Belgium | Hasselt | 888 | Slovenia | Novo Mesto | 95,9 | Belgium | Arlon | 67870 |
Fig. 5Road travel time to the Blue Banana vs absolute accessibility loss (long trips) in the 14 most populous EU states (Belgium and Netherlands as well as other regions located in the Blue Banana are excluded; all islands on the Baltic and Mediterranean Seas also excluded). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)