An Assessment Method for Highway Network Vulnerability

This paper introduces a methodology to assess the level of vulnerability of road transport networks. A new technique based on fuzzy logic and exhaustive search optimisation is used to combine vulnerability attributes with different weights into a single vulnerability index for network links, which may be used to measure the impact of disruptive events. The network vulnerability index is then calculated using two different aggregations: an aggregated vulnerability index based on physical characteristics and an aggregated vulnerability index based on operational characteristics. The former uses link physical properties such as its length and the number of lanes, whilst the latter reflects aspects of the network flow. The application of the methodology on a synthetic network (based on Delft city, Netherland) demonstrates the ability of the technique to estimate variation in the level of vulnerability under different scenarios. The method also allows exploration of how variation in demand and supply impact on overall network vulnerability, providing a new tool for decision makers to understand the dynamic nature of vulnerability under various events. The method could also be used as an evaluation tool to gauge the impact of particular policies on the level of vulnerability for the highway network and highlight weaknesses in the network.

[1]  E. Jenelius.  Network structure and travel patterns: explaining the geographical disparities of road network vulnerability , 2009 .

[2]  E. Malone,et al.  Modeling Vulnerability and Resilience to Climate Change: A Case Study of India and Indian States , 2005 .

[3]  Katja Berdica,et al.  AN INTRODUCTION TO ROAD VULNERABILITY: WHAT HAS BEEN DONE, IS DONE AND SHOULD BE DONE , 2002 .

[4]  Ben Immers,et al.  Methodology for Identifying Vulnerable Sections in a National Road Network , 2006 .

[5]  John R. Weeks,et al.  Assessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas , 2003, Int. J. Geogr. Inf. Sci..

[6]  Michael A. P. Taylor,et al.  Remoteness and accessibility in the vulnerability analysis of regional road networks , 2012 .

[7]  Richard B. Shepard,et al.  Quantifying Environmental Impact Assessments Using Fuzzy Logic , 2005 .

[8]  P. Rietveld,et al.  The impact of climate change and weather on transport: An overview of empirical findings , 2009 .

[9]  Paul A Pisano,et al.  Research Needs for Weather-Responsive Traffic Management , 2004 .

[10]  Kalyan Kumar Srinivasan.  TRANSPORTATION NETWORK VULNERABILITY ASSESSMENT: A QUANTITATIVE FRAMEWORK , 2002 .

[11]  Darren M. Scott,et al.  Network Robustness Index : a new method for identifying critical links and evaluating the performance of transportation networks , 2006 .

[12]  E. Jenelius.  Large-scale road network vulnerability analysis , 2010 .

[13]  Pamela Murray-Tuite,et al.  Methodology for Determining Vulnerable Links in a Transportation Network , 2004 .

[14]  B. Slack,et al.  The Geography of Transport Systems , 2006 .

[15]  J. Gaillard.  Vulnerability, capacity and resilience: Perspectives for climate and development policy , 2010 .

[16]  Bi Yu Chen,et al.  Vulnerability analysis for large-scale and congested road networks with demand uncertainty , 2012 .

[17]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[18]  J. Wardrop.  ROAD PAPER. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH. , 1952 .

[19]  C. Bamford,et al.  Geography of transport , 1978 .

[20]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[21]  F Maltinti,et al.  Methodology for Vulnerability Assessment of a Road Network , 2012 .

[22]  H. J. Van Zuylen,et al.  Link-level vulnerability indicators for real-world networks , 2010 .

[23]  Selim Zaim,et al.  Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry , 2011, Expert Syst. Appl..

[24]  Tom Petersen,et al.  Importance and Exposure in Road Network Vulnerability Analysis , 2006 .

[25]  Michael A. P. Taylor,et al.  Transport Network Vulnerability: a Method for Diagnosis of Critical Locations in Transport Infrastructure Systems , 2007 .