Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study

We present an approach to systematically analysing the vulnerability of road networks under disruptions covering extended areas. Since various kinds of events including floods, heavy snowfall, storms and wildfires can cause such spatially spread degradations, the analysis method is an important complement to the existing studies of single link failures. The methodology involves covering the study area with grids of uniformly shaped and sized cells, where each cell represents the extent of an event disrupting any intersecting links. We apply the approach to the Swedish road network using travel demand and network data from the Swedish national transport modelling system Sampers. The study shows that the impacts of area-covering disruptions are largely determined by the level of internal, outbound and inbound travel demand of the affected area itself. This is unlike single link failures, where the link flow and the redundancy in the surrounding network determine the impacts. As a result, the vulnerability to spatially spread events shows a markedly different geographical distribution. These findings, which should be universal for most road networks of similar scale, are important in the planning process of resource allocation for mitigation and recovery.

[1]  Shing Chung Josh Wong,et al.  Transportation and Traffic Theory 2009: Golden Jubilee: Papers Selected for Presentation at Isttt 18, a Peer Reviewed Series Since 1959 , 2009 .

[2]  Darren M. Scott,et al.  Identifying Critical Road Segments and Measuring System-Wide Robustness in Transportation Networks with Isolating Links: A Link-Based Capacity-Reduction Approach , 2010 .

[3]  E. Jenelius.  Considering the user inequity of road network vulnerability , 2010 .

[4]  T. J. Kim,et al.  Economic impacts of transportation network changes: Implementation of a combined transportation network and input-output model , 2002 .

[5]  S. Algers,et al.  SAMPERS - The new Swedish National Travel Demand Forecasting Tool , 2002 .

[6]  Mikkel Thorup,et al.  Speeding Up Dynamic Shortest-Path Algorithms , 2008, INFORMS J. Comput..

[7]  Kay W. Axhausen,et al.  Vulnerability assessment of the Swiss road network , 2008 .

[8]  J. Bates,et al.  The valuation of reliability for personal travel , 2001 .

[9]  Glen M. D'Este,et al.  Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks , 2006 .

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

[11]  Alan T. Murray,et al.  A Methodological Overview of Network Vulnerability Analysis , 2008 .

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

[13]  John P. Snyder,et al.  Map Projections: A Working Manual , 2012 .

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

[15]  H. J. Van Zuylen,et al.  The Influence of Spillback Modelling when Assessing Consequences of Blockings in a Road Network , 2008, European Journal of Transport and Infrastructure Research.

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

[17]  P. Goodwin,et al.  DISAPPEARING TRAFFIC? THE STORY SO FAR , 2002 .

[18]  Alan T. Murray,et al.  Modeling s-t path availability to support disaster vulnerability assessment of network infrastructure , 2010, Comput. Oper. Res..

[19]  David M Levinson,et al.  The Traffic and Behavioral Effects of the I-35W Mississippi River Bridge Collapse , 2010 .

[20]  Fumitaka Kurauchi,et al.  Network Evaluation Based on Connectivity Vulnerability , 2009 .

[21]  George E. Apostolakis,et al.  Identification of critical locations across multiple infrastructures for terrorist actions , 2007, Reliab. Eng. Syst. Saf..

[22]  Qiang Qiang,et al.  A network efficiency measure with application to critical infrastructure networks , 2008, J. Glob. Optim..

[23]  Michael A. P. Taylor,et al.  Critical Transport Infrastructure in Urban Areas: Impacts of Traffic Incidents Assessed Using Accessibility-Based Network Vulnerability Analysis , 2008 .

[24]  Erik Jenelius,et al.  User inequity implications of road network vulnerability , 2010 .

[25]  N Humphrey,et al.  Potential impacts of climate change on US transportation , 2008 .

[26]  Andrew V. Goldberg,et al.  Shortest paths algorithms: Theory and experimental evaluation , 1994, SODA '94.

[27]  Masanobu Shinozuka,et al.  Integrating Transportation Network and Regional Economic Models to Estimate the Costs of a Large Urban Earthquake , 2001 .

[28]  Anthony Chen,et al.  Network-based Accessibility Measures for Vulnerability Analysis of Degradable Transportation Networks , 2007 .

[29]  Jungyul Sohn,et al.  Evaluating the significance of highway network links under the flood damage: An accessibility approach , 2006 .

[30]  S. Tsuchiya,et al.  A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach , 2008 .

[31]  Erik Jenelius,et al.  INCORPORATING DYNAMICS AND INFORMATION IN A CONSEQUENCE MODEL FOR ROAD NETWORK VULNERABILITY ANALYSIS , 2007 .

[32]  Stephen D. Clark,et al.  Modelling network travel time reliability under stochastic demand , 2005 .

[33]  L. Mattsson,et al.  Vulnerability : A model-based case study of the road network in Stockholm , 2007 .

[34]  S. Tabaie,et al.  Cost-of-Delay Studies for Freeway Closures Caused by Northridge Earthquake , 1996 .

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

[36]  Erik Jenelius,et al.  Redundancy importance : Links as rerouting alternatives during road network disruptions , 2010 .

[37]  P. Suarez,et al.  Impacts of flooding and climate change on urban transportation: A systemwide performance assessment of the Boston Metro Area , 2005 .

[38]  M G H Bell,et al.  Attacker–defender models and road network vulnerability , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[39]  Kay W. Axhausen,et al.  Vulnerability Assessment Methodology for Swiss Road Network , 2009 .

[40]  T. J. Kim,et al.  Assessment of economic impacts from unexpected events with an interregional commodity flow and multimodal transportation network model , 2005 .