This paper compares four permanent displacement models based on Newmark's s
liding-block analogy for assessing regional seismic slope-performance, The
models vary primarily by the ground-motion descriptor used to correlate wit
h Newmark displacement, The first uses peak ground-acceleration (PGA), The
second uses PGA but normalizes displacements by predominant period and equi
valent cycles. The third uses Arias intensity, The fourth calculates cumula
tive displacements from double-integrating simulated earthquake accelerogra
ms. The models are implemented in a GIS to characterize seismic slope-perfo
rmance for the Oakland East quadrangle near San Francisco, California. The
resulting slope-performance maps are compared visually and through statisti
cal analysis to expose potential differences and assess the effects of usin
g a particular approach within a decision-making context. These maps were c
reated for the purpose of comparison and are not suitable for use as critic
al decision-making tools. The models forecast notably different levels of s
lope-performance, with the PGA-based models predicting the greatest Newmark
displacement on average, Thus, considering the variety of slope-performanc
e models, it is suggested that practitioners avoid reliance on a single mod
el, Instead, multiple models can be implemented in a GIS framework to gain
a better perspective of the potential hazard and make a more informed decis
ion.