Territorial Accessibility and Decision-Making Structure Related to Debris Flow Impacts on Roads in the French Alps

Marina Utasse , Vincent Jomelli , Delphine Grancher , Frederic Leone , Daniel Brunstein , Clement Virmoux

International Journal of Disaster Risk Science ›› 2016, Vol. 7 ›› Issue (2) : 186 -197.

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International Journal of Disaster Risk Science ›› 2016, Vol. 7 ›› Issue (2) : 186 -197. DOI: 10.1007/s13753-016-0088-3
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Territorial Accessibility and Decision-Making Structure Related to Debris Flow Impacts on Roads in the French Alps

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Abstract

The Alps are highly impacted by debris flows that cause major problems for companies and transport networks located in the valley bottoms. One such event occurred in the Rif Blanc catchment and affected the road network in the French Alps, as well as adjacent areas across the Italian border, for several days in June 2012. This article presents two independent approaches to vulnerability assessment. Based on investigations conducted during a survey of local authorities following the event, we compared theoretical risk management and real crisis management in terms of decision making and modes of intervention. Functional vulnerability and territorial consequences were analyzed using a best travel time model of accessibility. We show that a bottom-up approach is practiced in case of actual management planning with a central coordination of general council. Conversely theoretical crisis management shows prefect as the key actor supported by several other state institutions. Our analysis also revealed that a debris flow event with a local impact on the road network has territorial consequences at a regional scale. This study contributes to the discussion about how to minimize the vulnerability of alpine transport networks prone to debris flows. Our results could serve as a decision support tool for public authorities.

Keywords

Crisis management / Debris flows / French Alps / Road network vulnerability

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Marina Utasse, Vincent Jomelli, Delphine Grancher, Frederic Leone, Daniel Brunstein, Clement Virmoux. Territorial Accessibility and Decision-Making Structure Related to Debris Flow Impacts on Roads in the French Alps. International Journal of Disaster Risk Science, 2016, 7(2): 186-197 DOI:10.1007/s13753-016-0088-3

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References

[1]

Appert M, Chapelon L. The vulnerability of urban road networks related to degradation (La vulnérabilité des réseaux routiers urbains face aux risques d’altération). Géorisques, 2006, 3(2): 47-58 (in French)

[2]

Atzl, A., and S. Keller. 2013. A systemic approach for the analysis of infrastructure-specific social vulnerability. In From social vulnerability to resilience: Measuring progress toward disaster risk reduction, ed. S. Cutter, and C. Corendea, 27–43. UNU-SOURCE 17/2013. Bonn: The United Nations University Institute for Environment and Human Security (UNU-EHS).

[3]

Bell MGH. A game theory approach to measuring the performance reliability of transport networks. Transportation Research Part B, 2000, 34(4): 533-545

[4]

Berdica K. An introduction to road vulnerability: What has been done, is done and should be done. Transport Policy, 2002, 9(1): 117-127

[5]

Budetta P. Risk assessment from debris flows in pyroclastic deposits. Bulletin of Engineering Geology and the Environment, 2002, 61(4): 293-301

[6]

Caine N. The rainfall intensity-duration control of shallow landslides and debris flows. Geography Annals Series A, 1980, 62(1): 23-27

[7]

Chang SE. Transportation planning for disasters: An accessibility approach. Environment and Planning A, 2003, 35(1): 1051-1072

[8]

Chapelon L. Multiscale modeling of transport networks: Towards higher accurate accessibility (Modélisation multi-échelles des réseaux de transport: vers une plus grande précision de l’accessibilité). Mappemonde, 1996, 3: 1051-1072 (in French)

[9]

Chapelon, L. 2003. Evaluation of intermodal transport chains: The aggregation of measurements in space and time (Évaluation des chaînes intermodales de transport: l’agrégation des mesures dans l’espace et le temps). In Proceedings of the International Conference Technological Innovation for Land Transportation (TILT), Lille 2–4 December 2003, 167–178 (in French).

[10]

Dalvi MQ, Martin KM. The measurement of accessibility: Some preliminary results. Transportation, 1978, 5(1): 17-42

[11]

Demoraes F, D’Ercole R. Risks and accessibility of places in Quito district (Ecuador) (Risques et accessibilité des lieux dans le district Métropolitain de Quito (Equateur)). Mappemonde, 2009, 95(1): 1-20 (in French)

[12]

Dijkstra EW. A note on two problems in connexion with graphs. Numerische Mathematik, 1959, 1(2): 269-271

[13]

Fuchs S, Heiss K, Hübl J. Towards an empirical vulnerability function for use in debris flow risk assessment. Natural Hazards and Earth System Sciences, 2007, 7(5): 495-506

[14]

Fuchs S, Keiler M, Sokratov S, Shnyparkov A. Spatiotemporal dynamics: The need for an innovative approach in mountain hazard risk management. Natural Hazards, 2013, 68(3): 1217-1241

[15]

Galli M, Guzzetti F. Landslide vulnerability criteria: A case study from Umbria. Central Italy. Environnement Management, 2007, 40(4): 649-665.

[16]

Geertsema M, Schwab JW, Blais-Stevens A, Sakals A. Landslides impacting linear infrastructure in west central British Columbia. Natural Hazards, 2009, 48(1): 59-72

[17]

Gleyze JF. Making allowances for spatial and network effects when assessing indicators on infrastructure network nodes. Cybergeo, 2007, 370(1): 22-46.

[18]

Gleyze J, Reghezza M. Structural vulnerability as a tool for understanding the mechanisms of damage (La vulnérabilité structurelle comme outil de compréhension des mécanismes d’endommagement). Géocarrefour, 2007, 82(1): 17-26 (in French)

[19]

Guzzetti F, Peruccacci S, Rossi M, Stark CP. Rainfall thresholds for the initiation of landslides in central and southern Europe. Meteorology Atmospheric Physics, 2007, 98(2): 239-267

[20]

Hungr O. Jakob M, Hungr O. Classification and terminology. Debris flow hazards and related phenomena, 2005, Berlin: Springer 10-23.

[21]

Iverson RM. The physics of debris flows. Reviews of Geophysics, 1997, 35(3): 245-296

[22]

Jenelius E. Redundancy importance: Links as rerouting alternatives during road network disruptions. Procedia Engineering, 2010, 3(1): 129-137

[23]

Jenelius E, Mattsson LG. Road network vulnerability analysis: Conceptualization, implementation and application. Computers, Environment and Urban Systems, 2014, 49: 136-147

[24]

Jenelius E, Petersen T, Mattsson LG. Importance and exposure in road network vulnerability analysis. Transportation Research Part A, 2006, 40(3): 537-560.

[25]

Jomelli V, Brunstein D, Grancher D, Pech P. Is the response of hill slope debris flows to recent climate change univocal? A case study in the Massif des Ecrins (French Alps). Climate Change, 2007, 85(1): 119-137

[26]

Jomelli, V., I. Pavlova, M. Utasse, M. Chenet, D. Grancher, D. Brunstein, and F. Leone. 2011. Are debris floods and debris avalanches responding univocally to recent climatic change: A case study in the French Alps. In Climatic change: Geophysical foundations and ecological effects, ed. J. Blanco, and H. Kheradmand, 423–444. Rijeka, Croatia: InTech.

[27]

Jomelli V, Pavlova I, Eckert N, Grancher D, Brunstein D. A new hierarchical Bayesian approach to analyse environmental and climatic influences on debris flow occurrence. Geomorphology, 2015, 250(1): 407-421

[28]

Léone, F., J. Deymier, L. Chapelon, A. Colas, and V. Jomelli. 2011. Debris flows and road accessibility in the French Alps: Characterization and modeling of physical, functional and territorial vulnerabilities (Debris flows et accessibilité routière dans les Alpes françaises: caractérisation et modélisation des vulnérabilités physiques, fonctionnelles et territoriales). In Actes du XXIVème Colloque de l’Association Internationale de Climatologie, Rovereto, Italie, September 2011, 369–374 (in French).

[29]

Lhomme, S. 2012. Structural analysis of technical networks: Modeling, properties, vulnerabilities (L’analyse structurelle des réseaux techniques: modélisations, propriétés, vulnérabilités). https://halshs.archives-ouvertes.fr/halshs-00664023. Accessed 12 Dec 2014 (in French).

[30]

Masiero L, Maggi R. Estimation of indirect cost and evaluation of protective measures for infrastructure vulnerability: A case study on the transalpine transport corridor. Transport Policy, 2012, 20(1): 13-21

[31]

Morris J, Dumble PL, Wigan MR. Accessibility indicators for transport planning. Transportation Research A, 1979, 13(1): 91-109

[32]

Papathoma-Köhle M, Kappes M, Keiler M, Glade T. Physical vulnerability assessment for alpine hazards: State of the art and future needs. Natural Hazards, 2011, 58(3): 645-680

[33]

Papathoma-Khöle M, Keiler M, Totschnig R, Glade T. Improvement of vulnerability curves using data from extreme events: Debris flow event in South Tyrol. Natural Hazards, 2012, 64(3): 2083-2105

[34]

Pavlova I, Jomelli V, Brunstein D, Grancher D, Martin E, Déqué M. Debris flow activity related to recent climate conditions in the French Alps: A regional investigation. Geomorphology, 2014, 219(2): 248-259

[35]

Petrova E. Vulnerability of Russian regions to natural risk: Experience of quantitative assessment. Natural Hazards and Earth System Sciences, 2006, 6(1): 49-54

[36]

Pitilakis K, Alexoudi M, Argyroudis S, Monge O, Martin C. Earthquake risk assessment of lifelines. Bulletin of Earthquake Engineering, 2006, 4(3): 365-390

[37]

Pramudita, A., E. Taniguchia, and A.G. Qureshia. 2014. Location and routing problems of debris collection operation after disasters with realistic case study. Procedia – Social and Behavioral Sciences 125(3): 445–458.

[38]

Quan Luna B, Blahut J, van Westen CJ, Sterlacchini S, van Ach TWJ, Akbas SO. The application of numerical debris flow modeling for the generation of physical vulnerability curves. Natural Hazards and Earth System Sciences, 2011, 11(3): 2047-2060

[39]

Sahal A, Morin J. Effects of the October 25, 2010, Mentawai tsunami in La Réunion Island (France): Observations and crisis management. Natural Hazards, 2012, 62(1): 1125-1136

[40]

Sullivan JL, Novak DC, Aultman-Hall L, Scott DM. Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach. Transportation Research Part A, 2010, 44(2): 323-336.

[41]

Tacnet JM, Mermet E, Zadonina E, Deschatres M, Humbert P, Dissart JC, Labbe S. Road network management in the context of natural hazards: A decision-aiding process based on multi-criteria decision making methods and network structural properties analysis, 2013, Grenoble: Proceedings of the International Snow Science Workshop 912-919.

[42]

Wakabayashi, H., and H. Kameda. 1992. Network performance of highway systems under earthquake effects: A case study of the 1989 Loma Prieta earthquake. Proceedings of the US-Japan Workshop on Earthquake Disaster Prevention for Lifeline Systems. Tsukuba Science City, Japan, 215–232.

[43]

Wieczorek GF, Mossa GS, Morgan BA. Regional debris-flow distribution and preliminary risk assessment from severe storm events in the Appalachian Blue Ridge Province. USA. Landslides, 2004, 1(1): 53-59

[44]

Winter MG, Macgregor F, Shackman L. Scottish road network landslides study: Implementation, 2009, Edinburgh: Transport Scotland

[45]

Winter MG, Dent J, Macgregor F, Dempsey P, Motion A, Shackman L. Debris flow, rainfall and climate change in Scotland. Quarterly Journal of Engineering Geology and Hydrogeology, 2010, 43(4): 429-446

[46]

Winter MG, Smith JT, Fotopoulou S, Pitilakis K, Mavrouli O, Corominas J, Argyroudis S. An expert judgement approach to determining the physical vulnerability of roads to debris flow. Bulletin of Engineering Geology and the Environment, 2014, 73(2): 291-305

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