Submitted:
11 May 2024
Posted:
13 May 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
1.1. Context of Seismic Activity—Natural Disasters
- What are the factors that influence RMNDDSA?
- What are the theories used to support the factors of RMNDDSA?
- What methods have been applied to verify the study of these factors?

1.2. The Problem and Importance: Management of NDDSA Risks (RMNDDSA)
1.3. Study Aspects (Factors and Methods)
1.4. Methods
1.5. State of the Art Synthesis
1.6. Motivation
1.7. Objective/Purpose
1.8. Main Contributions
- To provide information in an organized manner on the factors influencing RMNDDSA, specifically its inventory and the methods used for its verification, from January 2008 to September 2023.
- To provide the reader with an important variety of bibliographic references that can be used to investigate the RMNDDSA factors.
1.9. Organization of the Article
2. Background and Seismic Activity Disaster
2.1. Disaster Risk Management due to Seismic Activity
2.2. Aspects of RMNDDSA Factors
2.3. Human-Disaster Interaction
2.4. Disaster
3. Methodology
- Planning - The detailed search was performed in various sources of information, such as academic, scientific, and specialized databases in a coherent and cohesive manner with the keywords in systematized literature search.
- Development - Clear criteria were applied for the selection of studies and literature review, which are directly related to the factors affecting RMNDDSA.
- Results - The studies were selected for an in-depth and deconstructive review with the extraction of relevant data associated with the RMNDDSA factors, to which sixteen were added, duly justified by the importance of the content and the theories used and methods applied during the research.
3.1. Planning
- RQ1 What are the factors that influence RMNDDSA?
- RQ2 What are the theories used to support the factors of RMNDDSA?
- RQ3 What methods have been applied to verify the study of these factors?
3.2. Desarrollo
3.3. Results
3.3.1. Potential and Selected Studies
3.3.2. Publications Production
3.3.3. Journals and Articles by Quartile
4. Analysis
4.1. RQ1 What Are the Factors Influencing RMNDDSA?
Factors in the Literature Reviews
4.2. RQ2 What Theories Are Used to Support the RMNDDSA Factors?
4.3. RQ3 What Methods Have Been Applied to Verify the Study of These Factors?
- [M01] Hypothesis testing (Arimura et al., 2020).
- [M02] Assessment and scoping of the degree of vulnerability of infrastructure and communities, using innovative technological tools.
- [M03] The analysis of the degree of exposure used in (Dos Santos, 2019), which maps the location of the population, the infrastructure of their homes, access to services, among other factors in relation to risk areas, to assess how exposed a community is to a disaster (floods and earthquakes).
- [M04] Data collection methods such as the use of surveys and structured interviews (Tuladhar et al., 2015).
- [M05] Also noteworthy are qualitative methods that not only provide valuable data on specific perceptions and needs, but also encourage active civilian participation in earthquake disaster risk management planning.
5. Discussion of Results
5.1. Question 1 What Are the Factors that Influence RMNDDSA?
| N° | Proposed factor | N° | Proposed factor | N° | Proposed factor | ||
| F1 | Knowledge | F9 | Control | F17 | Monitoring | ||
| F2 | Planning | F10 | Evaluation | F18 | Response Capability | ||
| F3 | Understanding | F11 | Feedback | F19 | Information Technology | ||
| F4 | Perception | F12 | Execution | F20 | Resilience | ||
| F5 | Organization | F13 | Follow-Up | F21 | Mitigation | ||
| F6 | Monitoring | F14 | Reduction | F22 | Prevention | ||
| F7 | Management | F15 | Vulnerability | F23 | Awareness | ||
| F8 | Direction | F16 | Preparedness | F24 | Recovery |
| N° | State of Art Factor | N° | State of Art Factor | N° | State of Art Factor | ||
| 1 | Structural damage | 6 | Health risk | 11 | Government Conditions | ||
| 2 | Temporary housing | 7 | Health response | 12 | Socioeconomic Conditions | ||
| 3 | Victims of debris | 8 | Security | 13 | Demographic Conditions | ||
| 4 | Economic impact | 9 | Hygiene | 14 | Sustainability | ||
| 5 | Social impact | 10 | Logistics | 15 | Degree of self-organization |
5.2. Question 2 What Are the Theories Used to Support the Factors of RMNDDSA?
5.3. Question 3 What Methods Have Been Applied to Verify the Study of these Factors?
6. Conclusions and Recommendations
- The research was based on the selection and literature review of five hundred and seventy-one (571) scientific articles based on empirical and substantiated evidence of seismic disasters (earthquakes) and correspond to cases of post-disaster studies, “after”, and identify them as the model of studies that have occupied the most attention to the RMNDDSA in a reactive manner and still continue to be prioritized, from there the information and data platforms for future research are established.
- The scientific studies of NDDSA (earthquakes) and heavy rainfall (floods) are of universal priority and the identification and deconstruction of the factors of influence in disasters due to seismic activity constitutes a scientific challenge of global importance. In our case we have managed to identify twenty-four critical factors of importance in disasters due to seismic activity, they are: (F1) Knowledge, (F2) Perception, (F3) Comprehension (Understanding), (F4) Planning, (F5) Organizing, (F6) Directing (Leadership), (F7) Executing, (F8) Supervising, (F9) Follow-up, (F10) Monitoring, (F11) Controlling, (F12) Feedback, (F13) Management, (F14) Evaluation, (F15) Reduction, (F16) Vulnerability, (F17) Preparedness, (F18) Response Capacity, (F19) Information Technologies, (F20) Resilience, (F21) Mitigation, (F22) Prevention, (F23) Awareness, and (F24) Recovery.
- In the literature review and the state of the art of the selected articles we identified fifteen (15) factors related to RMNDDSA and they are: (1) Structural Damage, (2) Temporary Shelter, (3) Debris Victims, (4) Economic Impact, (5) Social Impact, (6) Health Risk, (7) Health Response, (8) Safety, (9) Hygiene, (10) Logistics, (11) Governance Conditions, (12) Socioeconomic Conditions, (13) Demographic Conditions, (14) Sustainability and (15) Degree of Self-Organization.
- In the selected literature we found the use of interdisciplinary methods and approaches to verify the factors influencing RMNDDSA such as structured surveys, stakeholder interviews and questionnaires, exposure analysis, vulnerability assessment, qualitative methods and hypothesis testing.
- Regarding the post-disaster scenario for the Covid 19 Coronavirus Pandemic disease, it is necessary to deepen and update knowledge in the present “during”, i.e., the current moment (now) related to corrective disaster risk management.
- The scientific research in which experts participate through the collaborative and multidisciplinary work group has been prioritizing in the present decade, highlighting technological communication and innovation tools that facilitate the deepening of scientific research in RMNDDSA.
7. Future Work
- The empirical and substantiated evidence after disasters caused by seismic activity constitute the elementary inputs of reactive management, the same that hold and have the information to work based on corrective management, i.e., prioritizing “the present, i.e., now”, therefore, it is necessary to include the studies of estimation, prevention, and reduction of disaster risk, with the materialization of vulnerability reduction in disasters caused by seismic activity.
- It is important to operationalize the evaluation of natural disaster risk associated with education in a transversal manner, both in the public and private spheres, considering the three approaches of moments and temporalities, such as:
| First Approach | Second Approach | Third Approach |
| Reactive Disaster Risk Management (RDRM) | Corrective Disaster Risk Management (CDRM) | Prospective Disaster Risk Management (PDRM) |
| Post-disaster “after” scenario | Current scenario “during, now, the present”. | Pre-disaster scenario “before, looking ahead”. |
Acknowledgments
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| Inclusion criteria | Exclusion criteria |
|---|---|
| Document type: Article. Type of source: Journal. Language: English. Period: January 2008 - September 2023. Must answer at least one research question. |
No empirical evidence. Journals without quartile. They are oriented to other types of natural disasters such as hurricanes. They are oriented to other RMNDDSA type aspects such as prediction. |
| Search engine | Articles found | Articles selected by title and content | Selected articles |
|---|---|---|---|
| Scopus | 316 | 69 | 27 |
| Web of Science | 239 | 70 | 25 |
| Others* | 16 | 16 | 16 |
| Total | 571 | 155 | 68 |
| Quartile | Journal | Articles | Total articles per Quartile |
|---|---|---|---|
| Q1 | International Journal of Disaster Risk Reduction | [A01], [A02], [A05], [A09], [A10], [A25], [A27], [A38], [A64] | 64 |
| Renewable and Sustainable Energy Reviews | [A03] | ||
| Safety Science | [A04] | ||
| Natural Hazards | [A06], [A07], [A12], [A20], [A26], [A34] | ||
| Archives of Academic Emergency Medicine | [A08] | ||
| Springer Nature Switzerland | [A11], [A28], [A44] | ||
| Elsevier | [A13] | ||
| British Medical Bulletin | [A14] | ||
| Journal of Disaster Research | [A15], [A24] | ||
| Habitat International | [A16] | ||
| Humanities and Social Sciences Communications | [A17] | ||
| Scopus - Engineering | [A19], [A41] | ||
| Civil Engineering Journal | [A21] | ||
| Water | [A22], [A52] | ||
| Nova Prisutnost | [A29] | ||
| Journal of Loss Prevention in the Process Industries | [A30] | ||
| Risk Analysis | [A18], [A31] | ||
| International Journal of Information Management | [A32] | ||
| Land | [A23], [A33] | ||
| Sustainability | [A35], [A36], [A53], [A66] | ||
| Geoenvironmental Disasters | [A37], [A63] | ||
| International Journal of Disaster International Journal of Environmental Research and Public Health | [A39] | ||
| Nature | [A40] | ||
| ICE Journal of Management, Procurement and Law | [A42] | ||
| Public Finance Review | [A43] | ||
| Land Use Policy | [A46] | ||
| Journal of Loss Prevention in the Process Industries | [A47] | ||
| Procedia Engineering | [A48], [A56] | ||
| Science of the Total Environment | [A49] | ||
| Disaster Medicine and Public Health Preparedness | [A50] | ||
| Journal of Risk Research | [A51] | ||
| Disaster Science | [A54] | ||
| IOP Publishing Earth and Environmental Science | [A55] | ||
| Remote Sensing | [A59] | ||
| Scientific Reports | [A60] | ||
| Shock and Vibration | [A61] | ||
| International Journal of Population Studies | [A62] | ||
| Technological Forecasting and Social Change | [A67] | ||
| Geomatics, Natural Hazards and Risk | [A68] | ||
| Q2 | Tohoku Journal of Experimental Medicine | [A45] | 2 |
| Symmetry | [A65] | ||
| Q3 | Investigaciones Geográficas | [A57] | 2 |
| International Journal of Safety and Security Engineering | [A58] |
| ID | Factor | Description | Source |
|---|---|---|---|
| F1 | Knowledge | The knowledge of Quetta city residents about the city’s earthquake proneness inside in the high perception of composite seismic risk in both areas (Ainuddin et al., 2014). | [A01], [A02], [A03], [A04], [A05], [A06], [A07], [A08], [A09], [A10], [A11], [A12], [A13], [A14], [A15], [A16], [A17], [A19], [A20], [A21], [A22], [A23], [A24], [A25], [A27], [A28], [A29], [A30], [A31], [A32], [A33], [A34], [A36], [A37], [A38], [A40], [A41], [A42], [A43], [A44], [A45], [A46], [A47], [A48], [A49], [A51], [A52], [A53], [A54], [A56], [A59], [A60], [A61], [A62], [A63], [A65], [A67] |
| F2 | Planning | Recent devastating earthquakes have shown that destruction and loss of life can only be effectively reduced through national awareness, preparedness, and planned response action programs (Baytiyeh, H., Öcal, A., 2016). | [A01], [A02], [A03], [A04], [A06], [A07], [A09], [A11], [A13], [A14], [A15], [A16], [A17], [A19], [A20], [A21], [A22], [A23], [A25], [A26], [A28], [A29], [A30], [A31], [A34], [A35], [A36], [A37], [A38], [A39], [A41], [A42], [A45], [A46], [A47], [A48], [A49], [A50], [A52], [A53], [A54], [A56], [A58], [A59], [A60], [A61], [A62], [A63], [A65], [A66], [A67], [A68] |
| F3 | Understanding | Understanding how people perceive disasters is necessary to formulate better disaster management strategies and increase societal resilience (Chou, C.-Y., et al., 2023). | [A01], [A02], [A04], [A05], [A06], [A07], [A09], [A10], [A11], [A13], [A15], [A16], [A17], [A19], [A20], [A22], [A23], [A24], [A25], [A27], [A30], [A31], [A32], [A35], [A36], [A37], [A38], [A40], [A41], [A42], [A43], [A44], [A46], [A47], [A49], [A51], [A52], [A53], [A54], [A56], [A59], [A60], [A61], [A62], [A63], [A67], [A68] |
| F4 | Perception | Studies reveal that the level of individual preparedness is influenced by personal risk perception and individual circumstances (Heinkel, S.-B., et al., 2022). | [A01], [A02], [A04], [A07], [A09], [A10], [A11], [A14], [A15], [A16], [A17], [A20], [A21], [A22], [A23], [A25], [A27], [A29], [A30], [A31], [A33], [A34], [A37], [A38], [A41], [A42], [A44], [A48], [A51], [A52], [A53], [A54], [A58], [A59], [A63], [A66] |
| F4 | Organization | It is necessary for the community to establish community organization to improve community disaster response capacity and lay a solid foundation for community disaster management (Lin, B.-C., & Lee, C.-H., 2022). | [A01], [A03], [A06], [A11], [A12], [A14], [A15], [A20], [A21], [A24], [A26], [A29], [A32], [A34], [A37], [A41], [A44], [A47], [A51], [A53], [A54], [A56], [A59], [A60], [A61], [A62], [A63], [A67], [A68] |
| F6 | Monitoring | Natural hazards also play a role in assessing and preventing catastrophes due to earthquakes or volcanic eruptions. volcanic eruptions, which requires careful monitoring (Michellier et al., 2020). | [A07], [A08], [A11], [A12], [A13], [A14], [A19], [A22], [A23], [A24], [A26], [A29], [A32], [A34], [A38], [A41], [A44], [A48], [A51], [A53], [A54], [A56], [A59], [A60], [A62] |
| F7 | Management | There is an urgent need to build and deploy disaster-resilient systems, including digitizing medical information and establishing a networked system for its management (Miki et al., 2022). | [A12], [A13], [A14], [A18], [A21], [A22], [A26], [A34], [A39], [A41], [A45], [A46], [A47], [A53], [A59], [A60], [A61], [A62], [A67] |
| F8 | Direction | A key aspect of the response to both events was swift and strong leadership from the government (Mitchell et al., 2017). | [A02], [A04], [A11], [A21], [A25], [A34], [A41], [A43], [A44], [A45], [A46], [A50], [A53], [A60], [A61], [A62] [A63], [A67] |
| F9 | Control | Five main components of perceived risk in hazardous situations are identified: frequency of death, subjective estimate of mortality, potential for catastrophe, judged severity of death, and a few qualitative characteristics including control (Ozdemir et al., 2011). | [A08], [A10], [A17], [A21], [A23], [A33], [A38], [A43], [A50], [A51], [A60], [A65], [A67], [A68] |
| F10 | Evaluation | Seismic risk assessment of support structures and process piping elevated on support structures plays an important role in the prevention of accidents within process plants (Kalantari et al., 2020). | [A03], [A05], [A06], [A07], [A09], [A21], [A23], [A28], [A30], [A48], [A59], [A67] |
| F11 | Feedback | The decision to adopt the Hong Kong criterion was supported by consultant recommendations and informal feedback from the public (Macciotta et al., 2018). | [A06], [A11], [A13], [A29], [A37], [A44], [A49], [A56], [A65], [A67] |
| F12 | Execution | Pre-disaster management includes the preparedness and mitigation phase, while response and recovery correspond to the post-disaster phase. Different disaster management plans and activities are implemented in these phases (Shukla et al., 2023). | [A11], [A23], [A26], [A31], [A60], [A62] |
| F13 | Follow-Up | Pre- and post-disaster Digital Elevation Models were generated from satellite stereo-optical image tracking (Shafapourtehrany et al., 2023). | [A11], [A14], [A19], [A50], [A58], [A59] |
| F14 | Reduction | New and innovative approaches should be applied to disaster catastrophe risk reduction, merging knowledge, lessons learned and bringing together academics, practitioners, government officials to discuss common issues from different perspectives (Tuladhar et al., 2015). | [A33], [A44], [A54], [A56], [A63] |
| F15 | Vulnerability | What is meant by vulnerability has been defined in many ways, including risk, stress, susceptibility, adaptation, resilience, sensitivity or strategies to cope with stress (Ruiz Rivera, 2012). | [A35], [A36], [A45], [A57], [A65] |
| F16 | Preparedness | To mitigate the effects of natural hazards, it is essential to understand how people living in at-risk locations perceive hazards and risk and their knowledge and preparedness in relation to hazards (Alam et al., 2016). | [A02], [A09], [A20], [A27], [A59] |
| F17 | Monitoring | Overhead monitoring is key to prevent natural disasters using real-time object detection from drones with methods such as R-CNN and KCF (Salluri et al., 2020). | [A06], [A32], [A55], [A58] |
| F18 | Response Capability | Given the importance of disaster management globally, investments in global collaborative networks can make significant contributions and develop real-time response capabilities for research (Callaghan et al., 2016). | [A13], [A48] |
| F19 | Information Technology | Information technologies are used to store, process and distribute information and are useful in all phases of DRM (Meechang et al., 2020). | [A18], [A41] |
| F20 | Resilience | Individual resilience at the household level and community resilience contribute significantly to mitigation in the early stages of disasters (Heinkel et al., 2022). | [A20], [A29] |
| F21 | Mitigation | It is imperative to urgently understand the public’s perception of seismic risk, as well as to identify factors that are conducive to mitigation behaviors (Ozdemir et al., 2011). | [A27], [A51] |
| F22 | Prevention | A Culture of prevention manifests itself as a common behavior to respond assertively to hazard situations that may arise (Pastrana et al., 2020). | [A50], [A53] |
| F23 | Awareness | The experience of major disasters contributes to society’s awareness of the importance of preventive measures (Pastrana et al., 2020). | [A04], [A53] |
| F24 | Recovery | Within the context of natural disasters, when communities participate in data collection and information sharing, new opportunities arise to better understand urban vulnerabilities, capacities, and risks. Data-driven methods for damage assessment and recovery planning can also be created (Salluri et al., 2020). | [A58] |
| # | Factor | Primary Source | Reference |
|---|---|---|---|
| 1 | Structural damage | Asad, R., et al. (2023) | [A06] |
| 2 | Temporary housing | Asad, R., et al. (2023) | [A06] |
| 3 | Victims of debris | Asad, R., et al. (2023) | [A06] |
| 4 | Economic impact | Asad, R., et al. (2023) | [A06] |
| 5 | Social impact | Asad, R., et al. (2023) | [A06] |
| 6 | Health risk | Chan, E.Y.Y. (2019) | [A14] |
| 7 | Health response | Chan, E.Y.Y. (2019) | [A14] |
| 8 | Security | Hosseini et al. (2019) | [A21] |
| 9 | Hygiene | Hosseini et al. (2019) | [A21] |
| 10 | Logistics | Hosseini et al. (2019) | [A21] |
| 11 | Government Conditions | Imamura, F., et al. (2019) | [A25] |
| 12 | Socioeconomic Conditions | Imamura, F., et al. (2019) | [A25] |
| 13 | Demographic Conditions | Imamura, F., et al. (2019) | [A25] |
| 14 | Sustainability | Sobhi et al., (2022) | [A61] |
| 15 | Degree of self-organization | Sobhi et al., (2022) | [A61] |
| ID | Theory | Description | Factor | Reference |
|---|---|---|---|---|
| T1 | Diffusion of innovations theory | It studies the propagation of new ideas in a social system, highlighting research on the duration of new idea distribution and adoption through communication of people (Meechang et al., 2020). | F18 F19 F21 F22 F23 |
[A41] [A41] [A41] [A41] [A41] |
| T2 | Media richness theory | It highlights the importance of information to influence and enhance understanding. Personal means of communication are most effective for publicizing problems, facilitating interactions, and making decisions in situations of risk, uncertainty, and disaster (Tuladhar et al., 2015). | F12 F19 F23 |
[A41] [A41] [A20], [A41], [A63] |
| T3 | Organizational information processing theory |
Organizations need quality information in the face of environmental uncertainty and improve decision making with the complexity of the environment and the dynamism, or frequency of changes in various environmental variables of the seismic disaster (Hussain et al., 2022). | F7 F8 F9 F10 F11 F13 F14 F19 |
[A13], [A19] [A19] [A13] [A13], [A19] [A13] [A13] [A13], [A19] [A13] |
| T4 | Phenomenology theory |
It is related to other disciplines, such as science, philosophy, such as ontology, epistemology, logic and ethics. People have a particular way of seeing the world and processing what they experience through experience and according to their own perceptions, beliefs, and values (Llorente-Marrón et al., 2020). |
F2 F3 F16 F20 F24 |
[A06], [A09], [A47] [A09] [A06], [A09], [A11] [A06], [A09], [A11] [A06], [A09], [A47] |
| T5 | Prospect theory | In the face of low earthquake probabilities, people may not perceive risk accurately and may adopt behaviors of ignoring or exaggerating the probabilities of occurrence (Chou et al., 2023). | F4 F14 F15 F16 F23 F24 |
[A15] [A15] [A15] [A15] [A15] [A15] |
| T6 | Social learning theory | It comprises social learning or TAS where people learn new behaviors, through reinforcement or punishment, or through observational learning from social factors in their environment. Sustaining life and survival instinct allows us to focus on risk management (Bandecchi et al., 2019). | F1 F7 F14 F15 F17 F20 |
[A09], [A32] [A09], [A32] [A09] [A09] [A32] [A09], [A32] |
| T7 | Vector theory | It presents physical and social dimensions as separate vectors with different magnitudes and allows us to calculate a combination with independent perspectives and have a common starting point in vulnerability (Izquierdo et al., 2020). | F1 F14 F15 F20 |
[A25] [A25] [A25] [A25] |
| T8 | Cultural Theory | It is based on social and cultural factors that influence how people perceive and accept risks. Research in these fields has revealed that risk perception and acceptance are rooted in cultural and social factors (Ainuddin et al., 2014). | F1 F6 F15 F16 F23 |
[A01], [A53] [A53] [A01], [A53] [A01], [A53] [A01], [A53] |
| T9 | Protection Motivation Theory | It divides the assessment into threat and coping. The former focuses on the perception of vulnerability and severity, while the latter focuses on response effectiveness and belief in personal ability to reduce the threat. Disaster preparedness varies according to the perception of vulnerability (Baytiyeh et al., 2016). | F14 F16 F20 |
[A10], [A41], [A51] [A10], [A41] [A10], [A41] |
| T10 | Disaster System Theory | Applying diverse disaster models is essential to manage disaster risk as a structural system that includes the hazard, geographical environment, and exposed units. This approach describes disaster chains as mathematical representations and states that the overall process of the disaster model management system is based on the interconnection of individual disaster models (Jiang et al., 2022). | F15 F16 |
[A44] [A26] |
| T11 | Social Exchange Theory | Decisions in society are based on the outcomes of social behaviors. This theory suggests that there are intrinsic and extrinsic motivations in social exchange behaviors by information propagation and interactions on social network platforms (Zhang et al., 2017). | F1 F23 |
[A32] [A32] |
| ID | Method | Factor | Reference |
|---|---|---|---|
| M01 | Hypothesis testing | F1 F4 F14 |
[A02], [A04], [A11], [A16], [A31], [A33], [A36], [A43], [A52], [A56], [A61] [A04], [A11], [A16], [A31], [A33], [A52] [A33], [A56] |
| M02 | Assessment of the degree of vulnerability | F15 F21 F23 |
[A35], [A36], [A65] [A27] [A04] |
| M03 | Exposure analysis | F2 F6 F14 |
[A03], [A16], [A22], [A23], [A68] [A22], [A23] [A33] |
| M04 | Structured surveys, stakeholder interviews and questionnaires | F1 F3 F4 F5 F17 F23 |
[A01], [A04], [A12], [A16], [A32], [A33], [A63] [A01], [A04], [A16], [A32], [A63] [A01], [A04], [A16], [A33], [A63] [A01], [A12], [A32], [A63] [A32], [A55] [A04] |
| M05 | Qualitative methods | F1 F3 F4 F11 F24 |
[A04], [A06], [A16], [A32], [A63] [A04], [A06], [A16], [A32], [A63] [A04], [A16], [A63] [A06] [A04] |
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