The Evaluation of Road Network Vulnerability in Mountainous Areas: A Case Study
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This paper deals with the issue of road network vulnerability, with special reference to a mountainous area case. It describes the implementation of a methodology that ranks links of a network according to their importance in maintaining a proper connectivity between all origin-destination pairs. Such a ranking can be particularly helpful in prioritising maintenance investments to be planned along the links of a road network.
Following a conceptual approach observed in transport literature, we consider vulnerability to be connected to importance, i.e. a measure of the consequences of the collapse of a network element. In the present study we introduce a new definition of importance – with respect to a given link – that simultaneously includes two aspects: its level of usage, i.e. how many people typically use the link when travelling in a given time window, and the impact that the closure of that link could have on the general functionality of the network as a whole.
The methodology proposed was implemented in order to obtain a ranking of importance for the links of a real-scale network, i.e. the road network of the Province of Bolzano, a highly mountainous area located in the Italian Alps.
KeywordsVulnerability Reliability Robustness Importance Road networks Global importance Local importance Importance indicator
This research has been co-financed in the framework of the EU PARAmount project. Authors are very grateful to Ms Claudia Strada, Mr. Matteo Mottironi and all the staff of Provincia Autonoma di Bolzano for their input data, information for the model calibration and the kind collaboration they provided in all phases of the research: without their support this paper could not have been written.
- Berdica K, and Mattsson LG (2007) Vulnerability: a model-based case study of the road network in Stockholm, Critical Infrastructure, pp. 81–106Google Scholar
- Bureau of Public Roads (1964) Traffic assignment manual, Urban planning division. U.S. Department of Commerce, WashingtonGoogle Scholar
- Carlson L, Bassett G, Buehring W, Collins M, Folga S, Haffenden B, Petit F, Phillips J, Verner D, Whitfield R (2012) Resilience: theory and applications. Argonne National Laboratory. Argonne, Illinois, USA. Retrieved from: http://www.dis.anl.gov/pubs/72218.pdf
- Cascetta E (2008) Transportation systems analysis: models and applications. Springer-Verlag, New York Inc, New YorkGoogle Scholar
- D’Este GM, Taylor MAP (2003) Network vulnerability: an approach to reliability analysis at the level of national strategic transport networks. Iida Y, Bell MGH (Eds.) The Network Reliability of Transport, pp. 23–44Google Scholar
- Du L, Peeta S (2014) A Stochastic optimization model to reduce expected post-disaster response time through pre-disaster investment decisions, Networks and spatial economics, pp. 1–25Google Scholar
- Husdal J (2004) Reliability and vulnerability versus cost and benefits, Proceedings of the second International Symposium on Transportation Network Reliability (INSTR). Christchurch and Queenstown, New ZealandGoogle Scholar
- Immers LH, Stada JE, Yperman I (2004) Robustness and resilience of transportation networks; problem survey and examples. Paper Presented at NECTAR Cluster Meeting on Reliability of Networks, Amsterdam, March 19–20Google Scholar
- Jenelius E (2010) Redundancy importance: Links as rerouting alternatives during road network disruptions, 1st International Conference on Evacuation Modelling and Management, pp. 129–137Google Scholar
- Jenelius E, Petersen T, Mattsson LG (2006) Importance and exposure in road network vulnerability analysis. Transp Res A 40(7):537–560Google Scholar
- Knoop V, van Zuylen H, Hoogendoorn S (2008) The influence of spillback modelling when assessing consequences of blockings in a road network. Eur J Transp Infrastruct Res 8(4):287–300Google Scholar
- Reggiani A, Nijkamp P, Lanzi D (2014) Transport resilience and vulnerability: the role of connectivity, Transportation Research A (forthcoming)Google Scholar
- Rose A (2009) Economic resilience to disasters. CARRI Report No. 8, Community and Resilience Institute. Retrieved from: http://www.resilientus.org/library/Research_Report_8_Rose_1258138606.pdf
- Snelder M, van Zuylen HJ, Immers LH (2012) A framework for robustness analysis of road networks for short term variations in supply. Transp Res A 46(5):828–842Google Scholar
- Sullivan JL, Novak DC, Aultman-Hall L, Scott DM (2010) Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: a link-based capacity-reduction approach. Transp Res A 44:323–336Google Scholar
- Taylor MAP, Susilawati S (2012) Remoteness and accessibility in the vulnerability analysis of regional road networks. Transp Res A 46:761–771Google Scholar