IntroductionTo assess policy effectiveness and to determine the accuracy of ex-ante predictions, public agencies increasingly have begun to perform ex-poste evaluations. In the current environment that is characterized by funding limitations, stringent accountability requirements, and higher user expectations, such evaluations are considered critical because the results are useful to refine decisionmaking processes. The motivation for ex-poste evaluation is rooted in the fact that public agencies seek to maximize service to facility users and the community, and to provide facility level-of-service in a cost-effective manner. In the context of highway transportation, the extent to which these overall goals are achieved are assessed on scales of performance measures such as: project cost, reduction of travel time, increase in travel time reliability, improvement of air quality, reduced number of crashes, increased economic development, etc. Agency officials require knowledge of the true cost and benefits of agency actions in terms of these performance measures. That way, appropriate lessons could be learned and the decision-making processes could be enhanced.A specific case in point is that involving project costs. INDOT is increasingly concerned about the reliability of cost estimates of its projects. Cost overruns associated with large scale and high visibility transportation projects can generate public relations problems for the agency. With increased media coverage of cost overrun, questions have arisen about the ability of highway agencies to forecast costs accurately.What is needed, therefore, is a methodology to help the planners and decision-makers at INDOT to predict cost overruns, monitor and evaluate the cost estimates prepared during the project development process (PDP), so as to quantify the efficiency of the cost estimation processes. Also, there is a need to develop a methodological framework that can be used by highway agencies to identify projects that are susceptible to high cost overrun and underrun, so that appropriate proactive decisions (such as adjusting the contingency amounts) can be made to ameliorate the cost overrun problem.
FindingsThe study product is a methodology for identifying contracts that are likely to experience cost overrun at different stages of the project development process. The methodology analyzes escalation patterns of cost estimates across the stages of project development. To facilitate implementation of the methodology, models were developed to identify contracts that are likely to experience cost overrun in Indiana.The factors that were found to affect the probability and magnitude of cost overrun in Indiana included: contract work category, size, geographic location, highway functional class, route type, NHS status, contract classification, time duration between final design completion and project proposal, time duration between letting and project proposal, percentage difference between design estimate and proposed cost, percentage difference between letting an...