Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling
AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither c...
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Gespeichert in:
| Autor*in: |
Eid, Mohamed S [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Rechteinformationen: |
Nutzungsrecht: © 2017 American Society of Civil Engineers © COPYRIGHT 2017 American Society of Civil Engineers |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of computing in civil engineering - New York, NY : ASCE, 1987, 31(2017), 5 |
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| Übergeordnetes Werk: |
volume:31 ; year:2017 ; number:5 |
| Links: |
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| DOI / URN: |
10.1061/(ASCE)CP.1943-5487.0000680 |
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| Katalog-ID: |
OLC1999380894 |
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| 520 | |a AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. | ||
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10.1061/(ASCE)CP.1943-5487.0000680 doi PQ20171228 (DE-627)OLC1999380894 (DE-599)GBVOLC1999380894 (PRQ)a1354-da057e77a453fba3e10539df7b518f9efac1816a259833e107683832eaff80ae0 (KEY)0159946120170000031000500000integratingthesocialvulnerabilityofhostcommunities DE-627 ger DE-627 rakwb eng 690 DE-600 56.03 bkl Eid, Mohamed S verfasserin aut Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. Nutzungsrecht: © 2017 American Society of Civil Engineers © COPYRIGHT 2017 American Society of Civil Engineers Technical Papers Disaster recovery (Computers) Research Geographic information systems Decision-making Usage El-adaway, Islam H oth Enthalten in Journal of computing in civil engineering New York, NY : ASCE, 1987 31(2017), 5 (DE-627)12938383X (DE-600)166033-0 (DE-576)014770865 0887-3801 nnns volume:31 year:2017 number:5 http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000680 Volltext http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000680 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 56.03 AVZ AR 31 2017 5 |
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10.1061/(ASCE)CP.1943-5487.0000680 doi PQ20171228 (DE-627)OLC1999380894 (DE-599)GBVOLC1999380894 (PRQ)a1354-da057e77a453fba3e10539df7b518f9efac1816a259833e107683832eaff80ae0 (KEY)0159946120170000031000500000integratingthesocialvulnerabilityofhostcommunities DE-627 ger DE-627 rakwb eng 690 DE-600 56.03 bkl Eid, Mohamed S verfasserin aut Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. Nutzungsrecht: © 2017 American Society of Civil Engineers © COPYRIGHT 2017 American Society of Civil Engineers Technical Papers Disaster recovery (Computers) Research Geographic information systems Decision-making Usage El-adaway, Islam H oth Enthalten in Journal of computing in civil engineering New York, NY : ASCE, 1987 31(2017), 5 (DE-627)12938383X (DE-600)166033-0 (DE-576)014770865 0887-3801 nnns volume:31 year:2017 number:5 http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000680 Volltext http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000680 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 56.03 AVZ AR 31 2017 5 |
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10.1061/(ASCE)CP.1943-5487.0000680 doi PQ20171228 (DE-627)OLC1999380894 (DE-599)GBVOLC1999380894 (PRQ)a1354-da057e77a453fba3e10539df7b518f9efac1816a259833e107683832eaff80ae0 (KEY)0159946120170000031000500000integratingthesocialvulnerabilityofhostcommunities DE-627 ger DE-627 rakwb eng 690 DE-600 56.03 bkl Eid, Mohamed S verfasserin aut Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. Nutzungsrecht: © 2017 American Society of Civil Engineers © COPYRIGHT 2017 American Society of Civil Engineers Technical Papers Disaster recovery (Computers) Research Geographic information systems Decision-making Usage El-adaway, Islam H oth Enthalten in Journal of computing in civil engineering New York, NY : ASCE, 1987 31(2017), 5 (DE-627)12938383X (DE-600)166033-0 (DE-576)014770865 0887-3801 nnns volume:31 year:2017 number:5 http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000680 Volltext http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000680 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 56.03 AVZ AR 31 2017 5 |
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10.1061/(ASCE)CP.1943-5487.0000680 doi PQ20171228 (DE-627)OLC1999380894 (DE-599)GBVOLC1999380894 (PRQ)a1354-da057e77a453fba3e10539df7b518f9efac1816a259833e107683832eaff80ae0 (KEY)0159946120170000031000500000integratingthesocialvulnerabilityofhostcommunities DE-627 ger DE-627 rakwb eng 690 DE-600 56.03 bkl Eid, Mohamed S verfasserin aut Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. Nutzungsrecht: © 2017 American Society of Civil Engineers © COPYRIGHT 2017 American Society of Civil Engineers Technical Papers Disaster recovery (Computers) Research Geographic information systems Decision-making Usage El-adaway, Islam H oth Enthalten in Journal of computing in civil engineering New York, NY : ASCE, 1987 31(2017), 5 (DE-627)12938383X (DE-600)166033-0 (DE-576)014770865 0887-3801 nnns volume:31 year:2017 number:5 http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000680 Volltext http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000680 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 56.03 AVZ AR 31 2017 5 |
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10.1061/(ASCE)CP.1943-5487.0000680 doi PQ20171228 (DE-627)OLC1999380894 (DE-599)GBVOLC1999380894 (PRQ)a1354-da057e77a453fba3e10539df7b518f9efac1816a259833e107683832eaff80ae0 (KEY)0159946120170000031000500000integratingthesocialvulnerabilityofhostcommunities DE-627 ger DE-627 rakwb eng 690 DE-600 56.03 bkl Eid, Mohamed S verfasserin aut Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. Nutzungsrecht: © 2017 American Society of Civil Engineers © COPYRIGHT 2017 American Society of Civil Engineers Technical Papers Disaster recovery (Computers) Research Geographic information systems Decision-making Usage El-adaway, Islam H oth Enthalten in Journal of computing in civil engineering New York, NY : ASCE, 1987 31(2017), 5 (DE-627)12938383X (DE-600)166033-0 (DE-576)014770865 0887-3801 nnns volume:31 year:2017 number:5 http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000680 Volltext http://ascelibrary.org/doi/abs/10.1061/(ASCE)CP.1943-5487.0000680 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2014 56.03 AVZ AR 31 2017 5 |
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Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. 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Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling |
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AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. |
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AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. |
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AbstractDisaster recovery requires the participation of the stakeholders to repair the impacted community. Nevertheless, disaster recovery remains understudied within the context of emergency management. Various models have been developed to address disaster recovery. However, those models neither considered the stakeholders’ needs and preferences, nor the vulnerability of the host community. This paper presents a decision-making framework for disaster recovery that uses a bottom-up approach to capture the needs of the impacted residents and decreases the social vulnerability of host communities. The authors developed the following research methodology: (1) use a well-established community specific social vulnerability assessment tool to evaluate the society vulnerability; (2) model the multisector stakeholders through a root-to-grass technique that captures their objectives, strategies, and learning behaviors; (3) simulate the recovery progress of the impacted community using an agent-based simulation toolkit; and (4) interpret the results to provide the decision makers with optimal recovery strategies. The restorations efforts in the aftermath of hurricane Katrina in three coastal counties in Mississippi were used as the problem domain. Accordingly, the proposed model was implemented on a multiagent-based simulation toolkit with geographic information system (GIS) abilities. This research optimized the budget for the State Disaster Recovery Coordinator and the residents’ insurance plans choices. As such, this study provided better social vulnerability indices than the existing conditions currently found in the areas under investigation. Further, this research provided higher disaster recovery rates within the studied host communities. For future work, other vulnerability dimensions will be simultaneously integrated into the model to provide a more accurate depiction of sustainable disaster recovery processes. |
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