  This study introduces a comprehensive stage-wise decision framework to
support resilience planning for roadway networks regarding pre-disaster
mitigation (Stage I), post-disaster emergency response (Stage II) and long-term
recovery (Stage III). Three decision metrics are first defined, each based on a
derivation of the number of independent pathways (IPW) within a roadway system,
to measure the performance of a network in term of its robustness, redundancy,
and recoverability, respectively. Using the three IPW-based decision metrics, a
stage-wise decision process is then formulated as a stochastic multi-objective
optimization problem, which includes a project ranking mechanism to identify
pre-disaster network retrofit projects in Phase I, a prioritization approach
for temporary repairs to facilitate immediate post-disaster emergency responses
in Phase II, and a methodology for scheduling network-wide repairs during the
long-term recovery of the roadway system in Phase III. Finally, this stage-wise
decision framework is applied to the roadway network of Shelby County, TN, USA
subjected to seismic hazards, to illustrate its implementation in supporting
community network resilience planning.
