Abstract
Robust road transportation networks are essential to facilitate truck movements between regions. Disruptions along certain road links could degrade the network’s robustness and curtail regional commerce. A network is considered robust if the network-wide travel cost does not change significantly before and after disruptions. The network robustness index (NRI) is a well-known measure for examining the effect of reduced capacity on one or more links. It has been mainly applied to urban networks and passenger trips. In this paper, the NRI is applied to assess the robustness of the Ontario-wide truck network. Truck flows between the 49 census divisions within Ontario and 25 external zones for the year 2012 are modeled on the network of 35,254 road links and 14,444 associated nodes. Several scenarios of incrementally reduced capacity on specific critical links are devised and simulated. The NRI is calculated for each scenario to identify the level of network robustness. The locational effects of the capacity reductions were explored with the help of maps to assess the change in traffic volumes of the simulated scenarios relative to the base case. As expected, traffic diffuses or shifts to neighboring links when capacities are reduced. These results can be useful in infrastructure planning and the design of alternative routes to minimize the negative impact on traffic flows when disruptions occur.
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The authors would like to acknowledge Dr. Chris Bachmann, Dr. Kevin Gingerich and Amal Ghamrawi for their efforts to process and prepare the datasets used in this research.
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Madar, G., Maoh, H. & Anderson, W. Examining the robustness of the Ontario truck road network. J Geogr Syst 22, 309–333 (2020). https://doi.org/10.1007/s10109-020-00320-8
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DOI: https://doi.org/10.1007/s10109-020-00320-8