Abstract
Freight activity and economic productivity rely heavily on a robust road transportation network. Robustness refers to a network’s ability to withstand disruptions and is represented here by the change in network-wide travel time using the Network Robustness Index (NRI). Network disruptions can potentially severely degrade the network’s functionality and diminish regional trade. Such effects can be far-reaching into a transportation network. This paper uses the NRI to examine the characteristics of a large-scale transportation network in the province of Ontario, Canada. Truck and passenger flows are modelled on a network of 35,254 links and 14,444 nodes to ascertain the network-wide impact of the closure of each individual network link. The results show that heavily travelled highways and connectors to northern regions of the province are likely to exhibit more severe network degradation if disturbed. The results are valuable for informing policymakers of the network segments that pose the most severe threats, should they become disabled, and of the severity of the most likely events to occur. The value in this research, then, is to serve as a tool for providing a characterization of the regional road network and the trade activities it serves to inform measures to mitigate disruption events.
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References
Almotahari, A., & Yazici, M. A. (2019). A link criticality index embedded in the convex combinations solution of user equilibrium traffic assignment. Transportation Research Part a: Policy and Practice, 126, 67–82. https://doi.org/10.1016/j.tra.2019.06.005
Anderson, W. P., Maoh, H. F., & Gingerich, K. (2019). Cross-border freight movements in the Great Lakes and St. Lawrence Region, with insights from passive GPS data. The Canadian Geographer / Le Géographe Canadien, 63, 69–83. https://doi.org/10.1111/cag.12486
Ashrafi, Z., Shahraki, H. S., Bachmann, C., Gingerich, K., & Maoh, H. (2017). Quantifying the Criticality of highway infrastructure for freight transportation. Transportation Research Record, 2610, 10–18. https://doi.org/10.3141/2610-02
Black, A., & Loriggio, P. (2010). All Stranded Motorists Rescued from Highway 402. CP24, https://www.cp24.com/all-stranded-motorists-rescued-from-highway-402-1.585784. Accessed 24 Feb 2022
Braess, D., Nagurney, A., & Wakolbinger, T. (2005). On a paradox of traffic planning. Transportation Science, 39, 446–450. https://doi.org/10.1287/trsc.1050.0127
Campbell, C. (2020). Section of Highway 3 in Essex County Buckles Again Due to the Heat. CTV News. https://windsor.ctvnews.ca/section-of-highway-3-in-essex-county-buckles-again-due-to-the-heat-1.5018311. Accessed 24 Feb 2022
Cats, O., Koppenol, G.-J., & Warnier, M. (2017). Robustness assessment of link capacity reduction for complex networks: Application for public transport systems. Reliability Engineering & System Safety, 167, 544–553. https://doi.org/10.1016/j.ress.2017.07.009
Dawood, D., Vanikar, S., Tally, R., Cackler, T., Correa, A., Deem, P., Duit, J., Geary, G., & Gisi, A. (2007). Long-Life Concrete Pavements in Europe and Canada (No. FHWA-PL-07–027).
de Oliveira, E. L., da Silva Portugal, L., & Junior, W. P. (2014). Determining critical links in a road network: Vulnerability and congestion indicators. Procedia of Social and Behavioral Sciences, 162, 158–167. https://doi.org/10.1016/j.sbspro.2014.12.196
Dewar, K. (2015). Regional Municipality of Peel Goods Movement Strategic Plan: Outreach and Education. In TAC 2015: Getting You There Safely-2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sécurité routière - 2015 Congrès et Exposition de l'Association des transports du Canada.
Dowds, J., Sentoff, K., Sullivan, J. L., & Aultman-Hall, L. (2017). Impacts of model resolution on transportation network criticality rankings. Transportation Research Record, 2653, 93–100. https://doi.org/10.3141/2653-11
Gagnon, M., Overton, D., & Gaudreault, V. (2008). Age of Public Infrastructure: A Provincial Perspective. Statistics Canada.
Golden, J., Gomes, E., Roy, A., & Su. Y. (2018). De La Concorde Overpass Bridge Collapse: Analysis of a Historical Failure. https://doi.org/10.13140/RG.2.2.17401.01129
Hosseini, S., Barker, K., & Ramirez-Marquez, J. E. (2016). A review of definitions and measures of system resilience. Reliability Engineering & System Safety, 145, 47–61. https://doi.org/10.1016/j.ress.2015.08.006
Jafino, B. A., Kwakkel, J., & Verbraeck, A. (2020). Transport network criticality metrics: A comparative analysis and a guideline for selection. Transport Reviews, 40, 241–264. https://doi.org/10.1080/01441647.2019.1703843
Langlois, C. (2022). A Deadly Snowstorm. Reader’s Digest Canada. https://www.readersdigest.ca/culture/deadly-snowstorm/. Accessed 24 Feb 2022
Li, Y., Luo, X., & Che, G. (2018). Vulnerability identification of urban road network under unexpected congestion. Journal of Highway and Transportation Research and Development (English Edition), 12, 88–95. https://doi.org/10.1061/JHTRCQ.0000630
Lupa, M. R., Prather, K., de Araujo, M. P., & Casper, C. (2015). Network robustness index application at pikes peak area council of governments, Colorado Springs, Colorado. Transportation Research Record, 2499, 10–17. https://doi.org/10.3141/2499-02
Madar, G., Maoh, H., & Anderson, W. (2020). Examining the robustness of the Ontario truck road network. Journal of Geographical Systems, 22(3), 309–333. https://doi.org/10.1007/s10109-020-00320-8
Maoh, H., Anderson, W., & Burke, C. (2012). Modeling the resilience of surface freight transportation systems: An application to Ontario, Canada. In 47th Annual Canadian Transportation Research Forum Conference, Calgary, Alberta, Canada.
Maoh, H. F., Khan, S. A., & Anderson, W. P. (2016). Truck movement across the Canada–US border: The effects of 9/11 and other factors. Journal of Transport Geography, 53, 12–21. https://doi.org/10.1016/j.jtrangeo.2016.04.002
Mattsson, L.-G., & Jenelius, E. (2015). Vulnerability and resilience of transport systems – A discussion of recent research. Transportation Research Part A: Policy and Practice, 81, 16–34. https://doi.org/10.1016/j.tra.2015.06.002
Moghaddamsafaeiazar A. (2019). Applying of network robustness index (NRI) for prioritization inner-city of Tabriz metropolis in disaster situation. Journal of Injury and Violence Research, 11(4 Suppl 2), Paper No. 157. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187093/
Reggiani, A., Nijkamp, P., & Lanzi, D. (2015). Transport resilience and vulnerability: The role of connectivity. Transportation Research Part a: Policy and Practice, 81, 4–15. https://doi.org/10.1016/j.tra.2014.12.012
Scott, D. M., Novak, D. C., Aultman-Hall, L., & Guo, F. (2006). Network Robustness Index: A new method for identifying critical links and evaluating the performance of transportation networks. Journal of Transport Geography, 14, 215–227. https://doi.org/10.1016/j.jtrangeo.2005.10.003
Sohouenou, P. Y. R., Christidis, P., Christodoulou, A., Neves, L. A. C., & Presti, D. L. (2020). Using a random road graph model to understand road networks robustness to link failures. International Journal of Critical Infrastructure Protection, 29, 100353. https://doi.org/10.1016/j.ijcip.2020.100353
Sommerfield, L. (2021). Snowmageddon Revealed Nature’s Raw Power — and Canadians’ Resilience. Driving.ca. https://driving.ca/column/lorraine/snowmageddon-revealed-natures-raw-power-and-canadians-resilience. Accessed 24 Feb 2022
Statistics Canada. (2017). Ontario [Province] and Canada [Country] (table). Census Profile. 2016 Census. Statistics Canada Catalogue no. 98–316-X2016001. Ottawa. Released November 29, 2017.
Sullivan, J. L., Novak, D. C., Aultman-Hall, L., & Scott, D. M. (2010). 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: Policy and Practice, 44, 323–336. https://doi.org/10.1016/j.tra.2010.02.003
Taylor, B. (2008). Residents Return after Blast. The Toronto Star. https://www.thestar.com/news/gta/2008/08/11/residents_return_after_blast.html. Accessed 8 March 2022
Windsor-Bound Highway 3 Reopened after Heat Damage Repairs. (2018). CBC News. https://www.cbc.ca/news/canada/windsor/highway-3-heat-damage-closure-1.4730998. Accessed 24 Feb 2022
Wood, J. G. (2008). Implications of the collapse of the de La Concorde overpass. Structural Engineer, 86 (1).
Yang, X., Zhu, Y., Hong, J., Yang, L.-X., Wu, Y., & Tang, Y. Y. (2016). The rationality of four metrics of network robustness: A viewpoint of robust growth of generalized meshes. PLoS ONE, 11, e0161077. https://doi.org/10.1371/journal.pone.0161077
Zhou, Y., Wang, J., & Yang, H. (2019). Resilience of transportation systems: Concepts and comprehensive review. IEEE Transactions on Intelligent Transportation Systems, 20, 4262–4276. https://doi.org/10.1109/TITS.2018.2883766
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Vani, G., Maoh, H. Characterizing the Nature of a Multi-Regional Trucking Network Using the Network Robustness Index: An Application to Ontario, Canada. Appl. Spatial Analysis 16, 383–407 (2023). https://doi.org/10.1007/s12061-022-09484-w
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DOI: https://doi.org/10.1007/s12061-022-09484-w