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Indicators of road network vulnerability to storm-felled trees

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  • Rolf Nyberg
  • Magnus Johansson

Abstract

In this paper, we exemplify the use of simple indicators of wind storm vulnerability of the road network that can be derived from existing geographic datasets. We point out the possible utilization of the datasets, applying GIS techniques, for highlighting road sections that, due to adjacency of high forest stands, are sensitive to closure by storm-felled trees. Indicators reflecting the reduced access to different areas or to the population in need of emergency aid can be derived based on the parameter tree height along roads and road network analysis. As a case in this study, the methodology is applied to elderly people (+80 years) with possible need of daily care at home following a severe storm. A comparison to the extreme 2005 storm felling in southern Sweden reveals that only limited estimates of road network disruption due to storm-felled trees are possible using the indicators, as other factors, for example, wind direction, which determine the exact impact of a particular storm are not taken into account. However, the indicators and network analysis also provide a possibility to draw attention to locations where disruptions of the road network would have significant effects on the accessibility to large surrounding areas. Potential critical road closures can be identified and preventive measures considered locally at these points. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Rolf Nyberg & Magnus Johansson, 2013. "Indicators of road network vulnerability to storm-felled trees," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 185-199, October.
    • Handle: RePEc:spr:nathaz:v:69:y:2013:i:1:p:185-199
    DOI: 10.1007/s11069-013-0693-z
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    References listed on IDEAS

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    Cited by:

    1. Saini Yang & Fuyu Hu & Carlo Jaeger, 2016. "Impact Factors and Risk Analysis of Tropical Cyclones on a Highway Network," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 262-277, February.
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    3. Hsueh-Sheng Chang & Chin-Hsien Liao, 2015. "Planning emergency shelter locations based on evacuation behavior," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1551-1571, April.

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