Article ID: | iaor20131859 |
Volume: | 64 |
Issue: | 3 |
Start Page Number: | 313 |
End Page Number: | 325 |
Publication Date: | Mar 2013 |
Journal: | Journal of the Operational Research Society |
Authors: | Kelle P, Schneider H, Raschke C, Shirazi H |
Keywords: | combinatorial optimization, programming: multiple criteria, risk |
Since highway improvement project selection requires screening thousands of road segments with respect to crashes for further analysis and final project selection, we provide a two‐step project selection methodology and describe an application case to demonstrate its advantages. In the first step of the proposed methodology, we will use odds against observing a given crash count, injury count, run‐off road count and so on as measures of risk and a multi‐criteria pre‐selection technique with the objective to decrease the number of prospective improvement locations. In the second step, the final project selection is accomplished based on a composite efficiency measure of estimated cost, benefit and hazard assessment (odds) under budget constraints. To demonstrate the two‐step methodology, we will analyze 4 years of accident data at 23000 locations where the final projects are selected out of several hundred of potential locations.