Statistical tools for populating/predicting input data of risk analysis models

G. L. Pita; R. Francis; Z. Liu; J. Mitrani-Reiser; S. Guikema; J. P. Pinelli

doi:10.1061/41170(400)57

Statistical tools for populating/predicting input data of risk analysis models

G. L. Pita, R. Francis, Z. Liu, J. Mitrani-Reiser, S. Guikema, J. P. Pinelli

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

By quantifying economic risk due to damage to building stock, regional loss models for natural hazards are critical in the creation of regional policies, including evacuation strategies and zoning. The increasingly complex interaction between natural hazards and human activities requires more and more accurate data to describe the regional exposure to potential loss from physical damage to buildings and infrastructure. While databases contain information on the distribution and features of the building stock, infrastructure, transportation, etc., it is not unusual that portions of the information are missing from the available databases. Missing or low quality data compromise the validity of regional loss projections. Consequently, this paper uses Bayesian Belief Networks and Classification and Regression Trees to populate the missing information inside a database based on the structure of the available data. A case study is presented to evaluate results.

Original language	English (US)
Title of host publication	Vulnerability, Uncertainty, and Risk
Subtitle of host publication	Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences
Pages	468-476
Number of pages	9
DOIs	https://doi.org/10.1061/41170(400)57
State	Published - Jun 13 2011
Event	International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011 - Hyattsville, MD, United States Duration: Apr 11 2011 → Apr 13 2011

Publication series

Name	Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences

Conference

Conference	International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011
Country/Territory	United States
City	Hyattsville, MD
Period	4/11/11 → 4/13/11

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality

Access to Document

10.1061/41170(400)57

Cite this

Pita, G. L., Francis, R., Liu, Z., Mitrani-Reiser, J., Guikema, S., & Pinelli, J. P. (2011). Statistical tools for populating/predicting input data of risk analysis models. In Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences (pp. 468-476). (Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences). https://doi.org/10.1061/41170(400)57

Statistical tools for populating/predicting input data of risk analysis models. / Pita, G. L.; Francis, R.; Liu, Z. et al.
Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. 2011. p. 468-476 (Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pita, GL, Francis, R, Liu, Z, Mitrani-Reiser, J, Guikema, S & Pinelli, JP 2011, Statistical tools for populating/predicting input data of risk analysis models. in Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences, pp. 468-476, International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011, Hyattsville, MD, United States, 4/11/11. https://doi.org/10.1061/41170(400)57

Pita GL, Francis R, Liu Z, Mitrani-Reiser J, Guikema S, Pinelli JP. Statistical tools for populating/predicting input data of risk analysis models. In Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. 2011. p. 468-476. (Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences). doi: 10.1061/41170(400)57

Pita, G. L. ; Francis, R. ; Liu, Z. et al. / Statistical tools for populating/predicting input data of risk analysis models. Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences. 2011. pp. 468-476 (Vulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences).

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Statistical tools for populating/predicting input data of risk analysis models

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