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Expected traffic speed in Poland using Corine land cover, SRTM-3 and detailed population places data

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  • Przemysław Śleszyński

Abstract

The paper presents a novel application of detailed satellite imagery (and derived products) in estimating traffic speeds on public roads over large areas and for large numbers of road sections. The data used were taken from Corine Land Cover 2006, a digital elevation model based on SRTM-3, as well as from sources offering detailed information on population distribution. This helped quantify the impact of land use (primarily development) and landform on the speed of uncongested vehicle traffic on roads of different categories, including motorways, other dual carriageways, regular highways, local roads, etc. The study produced a map of potential vehicle speed in Poland at the scale of 1:1,000,000, which could be used to study temporal accessibility, in particular isochrone analysis.

Suggested Citation

  • Przemysław Śleszyński, 2015. "Expected traffic speed in Poland using Corine land cover, SRTM-3 and detailed population places data," Journal of Maps, Taylor & Francis Journals, vol. 11(2), pages 245-254, March.
  • Handle: RePEc:taf:tjomxx:v:11:y:2015:i:2:p:245-254
    DOI: 10.1080/17445647.2014.954645
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    References listed on IDEAS

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    1. Jain, Juliet & Lyons, Glenn, 2008. "The gift of travel time," Journal of Transport Geography, Elsevier, vol. 16(2), pages 81-89.
    2. Martínez, L. Miguel & Viegas, José Manuel, 2013. "A new approach to modelling distance-decay functions for accessibility assessment in transport studies," Journal of Transport Geography, Elsevier, vol. 26(C), pages 87-96.
    3. Stepniak, Marcin & Rosik, Piotr, 2013. "Accessibility improvement, territorial cohesion and spillovers: a multidimensional evaluation of two motorway sections in Poland," Journal of Transport Geography, Elsevier, vol. 31(C), pages 154-163.
    4. Jeremy Hackney & Michael Bernard & Sumit Bindra & Kay Axhausen, 2007. "Predicting road system speeds using spatial structure variables and network characteristics," Journal of Geographical Systems, Springer, vol. 9(4), pages 397-417, December.
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