Abstract

Jeng-Hsiang Lin

Lots of major cities worldwide are located in the seismically active regions. Due to natural disasters, the profits of real estate investment in these regions may be corroded. This study proposed a reliability-based decision making process for real estate investment in seismically active regions. Based on the Monte Carlo simulation technique with net present value (NPV) as the indicator, a sampling process was repeatedly performed to construct the relation curves of annual rate of return versus corresponding reliability for candidate investment projects. Then, these curves were used as a tool to prioritize the projects and make decisions. An example to demonstrate the decision making process and illustrate how to effectively estimate potential costs to repair earthquake damages was presented.