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Landslide Risk Management and Ohio Database

Pensomboon, Gridsana
http://rave.ohiolink.edu/etdc/view?acc_num=akron1172782692

Abstract Details

2007, Doctor of Philosophy, University of Akron, Civil Engineering.
Landslides or slope/embankment failures along highways present potential safety and operational hazards. Road closures or detours due to the landslides impact the regional economy when services and commercial goods cannot be distributed to their destinations and the extra fuel and maintenance costs for additional mileages due to road detours. With the limited resources to the Ohio Department of Transportation (ODOT), it becomes imperative that a decision-making tool is developed to effectively manage the landslide hazards impacting highways in Ohio. The objective of this research study is to develop a landslide risk management system. An innovative web-enabled database, built upon GIS platform is developed for real-time managing of landslide spatial and temporal data. A landslide hazard rating system has been developed to provide a means to numerically score and rate the relative hazard or risk level of each site. The associated statistical and cluster analysis results of 37 Ohio landslide sites collected as a pilot database validates the effectiveness of the rating system. An alternative method to assist decision-making is also developed for managing the risks of potential highway slope failures. Usually, decision to manage risk on the failed highway project depends on many parameters. Some of them are based expert opinion and difficult to quantify and standardize. Relying only on expert experience may result in bias and irrational decision. In this dissertation, a method to deal with expert opinion was proposed. The linguistic fuzzy technique is used to transform the expert judgment into numerical values. The application of multi-criteria decision function standardizes the qualitative and quantitative parameters; therefore, the parameters (criteria) having different units can be combined. The importance of each risk parameter is determined using the factor analysis technique. It essentially involves the use of the best linear combination of the parameters to account for variance in data. The information of 37 landslide sites in Ohio is also used to illustrate the application of the developed method. It is shown that the multi-criteria decision making approach, in conjunction with factor analysis techniques can promote rationale decision-making for managing the risk of potentials roadway slope failures.
Robert Liang (Advisor)
402 p.
Engineering, Civil; Geology
Landslide; Risk Management; Database; Decision-making

Recommended Citations

Citations

  • Pensomboon, G. (2007). Landslide Risk Management and Ohio Database [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1172782692

    APA Style (7th edition)

  • Pensomboon, Gridsana. Landslide Risk Management and Ohio Database. 2007. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1172782692.

    MLA Style (8th edition)

  • Pensomboon, Gridsana. "Landslide Risk Management and Ohio Database." Doctoral dissertation, University of Akron, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1172782692

    Chicago Manual of Style (17th edition)

akron1172782692
3,377
© 2007, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.