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Highway improvement project selection by the joint consideration of cost-benefit and risk criteria

Author

Listed:
  • P Kelle

    (Department of Information Systems and Decision Sciences, Louisiana State University, Baton Rouge, LA, USA)

  • H Schneider

    (Highway Safety Research Group in the Department of Information Systems and Decision Sciences, Louisiana State University, Baton Rouge, LA, USA)

  • C Raschke

    (Highway Safety Research Group in the Department of Information Systems and Decision Sciences, Louisiana State University, Baton Rouge, LA, USA)

  • H Shirazi

    (Louisiana Department of Transportation and Development, Baton Rouge, LA, USA)

Abstract

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 23 000 locations where the final projects are selected out of several hundred of potential locations.

Suggested Citation

  • P Kelle & H Schneider & C Raschke & H Shirazi, 2013. "Highway improvement project selection by the joint consideration of cost-benefit and risk criteria," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 313-325, March.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:3:p:313-325
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    Cited by:

    1. Olubusoye Olusanya Elisa & Korter Grace Oluwatoyin & Salisu Afees Adebare, 2016. "Modelling Road Traffic Crashes Using Spatial Autoregressive Model With Additional Endogenous Variable," Statistics in Transition New Series, Polish Statistical Association, vol. 17(4), pages 659-670, December.
    2. Margherita Pazzini & Rachele Corticelli & Claudio Lantieri & Cecilia Mazzoli, 2022. "Multi-Criteria Analysis and Decision-Making Approach for the Urban Regeneration: The Application to the Rimini Canal Port (Italy)," Sustainability, MDPI, vol. 15(1), pages 1-28, December.
    3. Adel Hatami-Marbini & Madjid Tavana & Kobra Gholami & Zahra Ghelej Beigi, 2015. "A Bounded Data Envelopment Analysis Model in a Fuzzy Environment with an Application to Safety in the Semiconductor Industry," Journal of Optimization Theory and Applications, Springer, vol. 164(2), pages 679-701, February.

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