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Title: Bayesian Spatial Modeling and Risk Mapping of Downed Trees Along Roadways Using Data from Hurricanes Irene and Sandy
Accession Number: 01550575
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Two recent hurricanes namely, Irene and Sandy, crippled the roadway network due to storm flooding and downed trees. Roadways are critical for the operations of the agencies responding to hurricanes as well as the evacuation of the affected people. Therefore, there is a need to improve roadway safety and accessibility in the aftermath of the hurricanes. By better handling hurricane related incidents on the roadways such as downed trees, roadway safety and accessibility can be improved. This paper presents a municipality level zero inflated hierarchical Bayesian model for predicting the downed trees during these two recent hurricanes in New Jersey. First, the most influential factors on downed trees are identified and then a spatial Poisson model is estimated. In order to better visualize the model estimations, several maps are developed based on the modeling results. These maps enable a fast and intuitive understanding of model predictions especially for non-statisticians. This model can be applied to future hurricanes by using known roadway characteristics and weather forecast data. Since the model is developed using hierarchical Bayesian modeling framework, it is also possible to make best/worst case scenario analysis based on the lower/upper bound values of the predicted parameters to facilitate resource allocation during hurricanes. The model is also portable to the other regions since the data used in the estimation is available in other regions of the US as well.
Supplemental Notes: This paper was sponsored by TRB committee ABE40 Critical Transportation Infrastructure Protection.
Monograph Title: Monograph Accession #: 01550057
Report/Paper Numbers: 15-5165
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Demiroluk, SamiOzbay, KaanPagination: 17p
Publication Date: 2015
Conference:
Transportation Research Board 94th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; References
(24)
; Tables
TRT Terms: Geographic Terms: Subject Areas: Highways; Safety and Human Factors; Security and Emergencies; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2015 Paper #15-5165
Files: TRIS, TRB, ATRI
Created Date: Dec 30 2014 1:44PM
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