PLAN C, an Agent-Based Model platform for urban disaster simulation and emergency planning, features a variety of reality-based agents interacting on a realistic city map and can simulate the complex dynamics of emergency responses in different urban catastrophe scenarios. Work reported here focuses on the incorporation of specific subpopulations of person agents, reflecting the existence of individuals with specific defining characteristics and needs, and their interactions with the available resources. Performance of these subpopulations are compared in both point-source attack and distributed disaster scenarios for disasters of different magnitudes. Specific "recovery points" can be derived both for total- and sub-populations, which estimate the duration of a response system's/city's vulnerability. The effect of varying topologies of available resources, i.e. different hospital maps, provides particular insight into the dynamics that can emerge in this complex system. PLAN C produces interesting emergent behavior which is often consistent with the literature on emergency medicine of previous events.