AbstractHazards pose significant issues for the performance of critical lifelines, and postdisaster performance of roadway networks, in particular, is crucial, as the roadways are key links used in completing infrastructure repairs. The performance of the roadways depends on an ability to quickly assess roadway facility conditions through inspection for which access along the same roadway and bridge system that is under examination is required. Thus, some restoration activities to the roadway elements may need to be completed before inspections of other roadway network elements or elements of other infrastructure lifelines can even begin. The order in which these inspection and restoration activities are taken can greatly affect the time until services from critical lifelines are restored, and the simultaneous consideration of the restoration needs of multiple lifelines given their reliance on the roadway network facilitates faster overall recovery of the communities they serve. A multistage stochastic program with decision-dependent uncertainty is proposed for jointly devising postdisaster inspection and restoration activity schedules to minimize roadway downtime and maximize opportunities for timely completion of repairs to other lifelines over the recovery period. The developed technique is illustrated in an example designed on the roadway and power distribution networks in Arlington, Virginia. Results from the numerical experiments show significant benefits of coordinating actions over multiple lifelines in bringing back services to a community impacted by a disaster event. In fact, coordination led to a greater total number of functioning elements in both roadway and power networks with no reduction in the number of functioning elements from either network over a recovery period. Additionally, a 12% gain in benefits of joint scheduling could be obtained if perfect foresight were possible, showing the potential value of perfect information.