This paper presents a reliability-based optimization model of inspection, maintenance, and replacement for a system of several highway bridges. The objective in the formulation is to minimize the total expected social cost, including the expected cost of failure. The frequency of inspections is...

In this research, a reliability-based optimization model of bridge maintenance and replacement decisions is developed. Bridge maintenance optimization models use deterioration models to predict the future condition of bridges. Some current optimization models use physically-based models taking...

In the first part of this paper, an analysis of the data collected during the American Association of State Highway Officials (AASHO) Road Test, based on probabilistic duration modeling techniques, is presented. Duration techniques enable the stochastic nature of pavement failure time to be...

Infrastructure management systems assist agencies in making decisions regarding maintenance, repair, and reconstruction of the facilities under their jurisdiction. The objective in these decision-making tools is to minimize the total expected cost of managing a system of facilities over a given...

The objective of this paper is to demonstrate the development of pavement performance models by combining experimental and field data. A two step approach was used. In the first step a riding quality model based on serviceability consideration is developed. The data set of the American...

In this paper we present two adaptive control formulations that explicitly include uncertainty in characterizing a facility's deterioration rate in the process of developing maintenance and repair policies. The formulations use condition information that stems from the operation of a facility to...

We present an application of systematic probing for selecting optimal maintenance, repair, and reconstruction MR&R policies for systems of infrastructure facilities under model uncertainty. We use an open-loop feedback control approach, where the model parameters are updated sequentially after...

In articles about China in both technical journals and the popular press one often finds an implicit assumption that Chinese consumers are on a direct path that will lead to car ownership sometime in the near-to-mid-term future. The purpose of this paper was to determine if there is a...

Access from public transit stations to employment and home locations can be a significant barrier to public transportation use in many urban regions, which is also commonly known as the "first and last mile" problem. The EasyConnect field test operated from August 2005 to December 2006 to...

This study uses latent class modeling (LCM) to explore the effects of channel-specific perceptions, along with other variables, on purchase channel intention. Using data on book purchases collected from an Internet-based survey of two university towns in Northern California, we develop a latent...