Kang et al. (2011) also used GIS to model path selection for Unmanned Ground Robot (UGR). While the UGR research
focused input parameters to establish robot paths by avoiding enemy zones, no-go and no-drop areas, it shares our idea of network dynamics and continuous path update for the user based on new and current information.
In an urban environment such as a CBD area, we recognize that in disaster situation, reliability of transit systems is essential in evacuating pedestrians and other transit-dependent users. This notion underlines the importance of considering access to transit mode within the network as evacuation process develops.
Mishra etal (2012) modelled intermodal connectivity as a measure to gauge the effectiveness of an intermodal transportation system. In this work, the focus was to compare connectivity of transit system performance at line, transfer facility, local and regional levels. In this paper, we apply the connectivity principles presented by Mishra et al. (2012)
but focus our analysis on the delay introduced to the transit system during evacuation. Our interest is the effectiveness of transit mode of transportation under system stress due to sudden influx of system load, directional constraints
and the resulting choke points that must be traversed during disaster.
We believe the model presented in the research does address the issues associated with urban highway networks such as
heavy vehicular and pedestrian traffic, grid configuration of the highways which further promotes travel delay.
This paper seeks to fill this research gap. The objective of the paper is to present a robust methodology followed by a hypothetical example to demonstrate the model application.