Academic Journal

Sustainable Humanitarian Operations: Multi-Method Simulation for Large-Scale Evacuation

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Sustainable Humanitarian Operations: Multi-Method Simulation for Large-Scale Evacuation
Συγγραφείς: Bertha Maya Sopha, Athaya Islami Triasari, Lynette Cheah
Πηγή: Sustainability, Vol 13, Iss 7488, p 7488 (2021)
Στοιχεία εκδότη: MDPI AG
Έτος έκδοσης: 2021
Συλλογή: Directory of Open Access Journals: DOAJ Articles
Θεματικοί όροι: sustainable humanitarian operations, multi-method simulation, large-scale evacuation, evacuation plan, volcano eruption, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350
Περιγραφή: Integrating sustainability in humanitarian operations has been seen as a promising approach toward effective and long-term solutions. During disaster emergency management, the evacuation determines the risk of loss in a disaster. To better understand the effectiveness of the evacuation plan while considering the sustainability standpoint, this paper develops a multi-method simulation (MMS) approach to evaluate evacuation time, load balance of the shelters, and CO 2 emission. The MMS integrating Agent-Based Modeling (ABM) and Discrete-Event Simulation (DES) incorporates evacuation decision-making and evacuation processes. Comparative analysis shows that the MMS outperforms the use of ABM solely. The simulation results indicate over-utilization and imbalanced load among the shelters, implying a need to expand shelters’ capacity and to revisit the evacuation plan concerning the location of the assembly points and the shelters and the resource allocation. Evacuation behavior heading to the nearest assembly point instead of the designated assembly point based on the evacuation plan worsens the imbalanced load among the shelters and results in higher CO 2 emissions by 8%. The results demonstrate the necessity to include evacuation decision-making (social dimension) on top of the technical dimension and to adopt sustainable performance indicators in planning the evacuation sustainably. Avenues for future research are also discussed.
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: https://www.mdpi.com/2071-1050/13/13/7488; https://doaj.org/toc/2071-1050; https://doaj.org/article/50d9dbfe86fa4558a1cfc139ea044088
DOI: 10.3390/su13137488
Διαθεσιμότητα: https://doi.org/10.3390/su13137488
https://doaj.org/article/50d9dbfe86fa4558a1cfc139ea044088
Αριθμός Καταχώρησης: edsbas.F71F3FF9
Βάση Δεδομένων: BASE
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  Data: Sustainable Humanitarian Operations: Multi-Method Simulation for Large-Scale Evacuation
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  Data: <searchLink fieldCode="AR" term="%22Bertha+Maya+Sopha%22">Bertha Maya Sopha</searchLink><br /><searchLink fieldCode="AR" term="%22Athaya+Islami+Triasari%22">Athaya Islami Triasari</searchLink><br /><searchLink fieldCode="AR" term="%22Lynette+Cheah%22">Lynette Cheah</searchLink>
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  Data: Sustainability, Vol 13, Iss 7488, p 7488 (2021)
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  Data: MDPI AG
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  Data: 2021
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  Data: <searchLink fieldCode="DE" term="%22sustainable+humanitarian+operations%22">sustainable humanitarian operations</searchLink><br /><searchLink fieldCode="DE" term="%22multi-method+simulation%22">multi-method simulation</searchLink><br /><searchLink fieldCode="DE" term="%22large-scale+evacuation%22">large-scale evacuation</searchLink><br /><searchLink fieldCode="DE" term="%22evacuation+plan%22">evacuation plan</searchLink><br /><searchLink fieldCode="DE" term="%22volcano+eruption%22">volcano eruption</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+effects+of+industries+and+plants%22">Environmental effects of industries and plants</searchLink><br /><searchLink fieldCode="DE" term="%22TD194-195%22">TD194-195</searchLink><br /><searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br /><searchLink fieldCode="DE" term="%22TJ807-830%22">TJ807-830</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+sciences%22">Environmental sciences</searchLink><br /><searchLink fieldCode="DE" term="%22GE1-350%22">GE1-350</searchLink>
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  Data: Integrating sustainability in humanitarian operations has been seen as a promising approach toward effective and long-term solutions. During disaster emergency management, the evacuation determines the risk of loss in a disaster. To better understand the effectiveness of the evacuation plan while considering the sustainability standpoint, this paper develops a multi-method simulation (MMS) approach to evaluate evacuation time, load balance of the shelters, and CO 2 emission. The MMS integrating Agent-Based Modeling (ABM) and Discrete-Event Simulation (DES) incorporates evacuation decision-making and evacuation processes. Comparative analysis shows that the MMS outperforms the use of ABM solely. The simulation results indicate over-utilization and imbalanced load among the shelters, implying a need to expand shelters’ capacity and to revisit the evacuation plan concerning the location of the assembly points and the shelters and the resource allocation. Evacuation behavior heading to the nearest assembly point instead of the designated assembly point based on the evacuation plan worsens the imbalanced load among the shelters and results in higher CO 2 emissions by 8%. The results demonstrate the necessity to include evacuation decision-making (social dimension) on top of the technical dimension and to adopt sustainable performance indicators in planning the evacuation sustainably. Avenues for future research are also discussed.
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  Data: https://www.mdpi.com/2071-1050/13/13/7488; https://doaj.org/toc/2071-1050; https://doaj.org/article/50d9dbfe86fa4558a1cfc139ea044088
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      – Text: English
    Subjects:
      – SubjectFull: sustainable humanitarian operations
        Type: general
      – SubjectFull: multi-method simulation
        Type: general
      – SubjectFull: large-scale evacuation
        Type: general
      – SubjectFull: evacuation plan
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      – SubjectFull: volcano eruption
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      – SubjectFull: Environmental effects of industries and plants
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      – SubjectFull: TD194-195
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      – SubjectFull: Renewable energy sources
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      – SubjectFull: TJ807-830
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      – SubjectFull: Environmental sciences
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      – SubjectFull: GE1-350
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