PapersFlow Research Brief
Safety and Risk Management
Research Guide
What is Safety and Risk Management?
Safety and Risk Management is the interdisciplinary field encompassing emergency management, risk assessment in industries such as coal mining and urban safety, disaster response systems, and decision support tools including refuge chambers and GIS-based systems.
The field includes 36,313 works focused on emergency management, refuge chamber design, disaster response, urban safety, risk assessment, and traffic management. Key areas cover emergency capability assessment, GIS-based decision support systems, and urban crisis management. Growth rate over the past 5 years is not available.
Topic Hierarchy
Research Sub-Topics
Coal Mine Risk Assessment
This sub-topic covers probabilistic risk analysis, fuzzy AHP, Bayesian networks for gas explosion, roof fall, and flooding hazards in underground coal mining. Researchers develop real-time monitoring integration and human reliability quantification.
Emergency Refuge Chambers
This sub-topic focuses on design standards, life support systems, communication integration, and human factors evaluation of underground refuge chambers. Researchers conduct simulation-based performance testing and post-accident case studies.
Disaster Response Systems
This sub-topic examines command-control structures, resource allocation algorithms, and inter-agency coordination for mining disasters and urban crises. Researchers develop decision support frameworks and resilience metrics for response optimization.
GIS-Based Emergency Decision Support
This sub-topic covers spatial risk mapping, real-time evacuation routing, and multi-hazard scenario simulation using GIS platforms. Researchers integrate sensor networks, drone imagery, and predictive analytics for urban and mine safety.
Human Factors in Mine Safety
This sub-topic analyzes fatigue, training effectiveness, safety culture, and behavioral interventions contributing to coal mine accidents. Researchers apply HFACS frameworks and VR simulation for error prevention and safety climate assessment.
Why It Matters
Safety and Risk Management directly impacts industries like coal mining, where gas explosions and dynamic disasters pose severe risks, as analyzed in 'Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network' by Li et al. (2020), which provides models for predicting explosion probabilities, and 'The current situation and prevention and control countermeasures for typical dynamic disasters in kilometer-deep mines in China' by Chen et al. (2019), addressing kilometer-deep mine hazards. In Guizhou province coal mines during the 12th Five-Year Plan (2011–2015), main accident types were gas, flood, and roof, with average fatalities of 6.2, 6.8, and 1.2 per incident, respectively, as detailed in 'Characteristics and trends of coal mine safety development' by Li et al. (2020). These approaches enable targeted prevention, reducing fatalities in high-risk settings like China's coal sector.
Reading Guide
Where to Start
'Industrial accident prevention' by Heinrich et al. (1941), as it provides foundational principles of accident prevention with 823 citations, serving as an accessible entry to core concepts before specialized topics.
Key Papers Explained
Heinrich et al. (1941) in 'Industrial accident prevention' establishes basics of accident prevention, which Lindell and Perry (1992) build on in 'Behavioral foundations of community emergency planning' by adding behavioral and organizational response models. Chen et al. (2011) in 'Research on 10-year tendency of China coal mine accidents and the characteristics of human factors' applies these to human factors in coal mines, extended by Li et al. (2020) in 'Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network' with quantitative risk models, and Zhang et al. (2019) in 'Statistical analysis the characteristics of extraordinarily severe coal mine accidents (ESCMAs) in China from 1950 to 2018' through long-term statistical analysis.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Recent works emphasize kilometer-deep mine disasters and gas explosion risks, as in Chen et al. (2019) and Li et al. (2020), focusing on dynamic countermeasures and probabilistic assessments. No preprints or news from the last 12 months indicate ongoing refinements in these areas.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | Chemical Engineering Kinetics | 2007 | Advances in chemical e... | 1.4K | ✕ |
| 2 | Industrial accident prevention | 1941 | — | 823 | ✕ |
| 3 | Behavioral foundations of community emergency planning | 1992 | — | 498 | ✕ |
| 4 | A Modified Model of College Student Persistence: Exploring the... | 1997 | Scholarworks (Universi... | 435 | ✓ |
| 5 | Environmental impact of coal mine methane emissions and respon... | 2010 | International journal ... | 277 | ✕ |
| 6 | Research on 10-year tendency of China coal mine accidents and ... | 2011 | Safety Science | 219 | ✕ |
| 7 | Risk assessment of gas explosion in coal mines based on fuzzy ... | 2020 | Process Safety and Env... | 216 | ✕ |
| 8 | Characteristics and trends of coal mine safety development | 2020 | Energy Sources Part A ... | 210 | ✕ |
| 9 | The current situation and prevention and control countermeasur... | 2019 | Safety Science | 194 | ✕ |
| 10 | Statistical analysis the characteristics of extraordinarily se... | 2019 | Process Safety and Env... | 189 | ✓ |
Frequently Asked Questions
What are the main types of accidents in Guizhou province coal mines?
During the 12th Five-Year Plan period (2011–2015), the main types of accidents in Guizhou province coal mines were gas, flood, and roof accidents. The average fatalities for each type were 6.2, 6.8, and 1.2, respectively. 'Characteristics and trends of coal mine safety development' by Li et al. (2020) reports these figures based on safety production data.
How is risk assessment conducted for gas explosions in coal mines?
Risk assessment of gas explosions in coal mines uses fuzzy AHP and Bayesian network methods. These approaches integrate fuzzy analytic hierarchy process for weighting factors and Bayesian networks for probabilistic modeling. 'Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network' by Li et al. (2020) demonstrates this methodology.
What are behavioral foundations of community emergency planning?
Behavioral foundations include functional analysis of organizational response, protective action selection, population warning models, and pre-impact factors affecting warning responses. These elements structure community emergency planning. 'Behavioral foundations of community emergency planning' by Lindell and Perry (1992) provides this overview.
What characterizes extraordinarily severe coal mine accidents in China?
Extraordinarily severe coal mine accidents (ESCMAs) in China from 1950 to 2018 show statistical patterns in causes and trends. The analysis covers characteristics and frequencies over this period. 'Statistical analysis the characteristics of extraordinarily severe coal mine accidents (ESCMAs) in China from 1950 to 2018' by Zhang et al. (2019) presents these findings.
What are key human factors in China coal mine accidents?
Research identifies characteristics and 10-year tendencies of human factors in China coal mine accidents. These factors contribute significantly to accident occurrences. 'Research on 10-year tendency of China coal mine accidents and the characteristics of human factors' by Chen et al. (2011) examines this data.
What countermeasures address dynamic disasters in deep Chinese mines?
Prevention and control countermeasures target typical dynamic disasters in kilometer-deep mines in China. The paper outlines the current situation and specific strategies. 'The current situation and prevention and control countermeasures for typical dynamic disasters in kilometer-deep mines in China' by Chen et al. (2019) details these.
Open Research Questions
- ? How can fuzzy AHP and Bayesian networks be refined to predict gas explosion risks more accurately in varying coal mine conditions?
- ? What specific human factors drive the 10-year tendencies in China coal mine accidents, and how can they be mitigated?
- ? Which prevention strategies most effectively reduce fatalities from gas, flood, and roof accidents in regional coal mines like Guizhou?
- ? How do dynamic disasters in kilometer-deep mines evolve, and what real-time countermeasures are needed?
- ? What statistical patterns in ESCMAs from 1950-2018 predict future extraordinarily severe coal mine accidents?
Recent Trends
Papers from 2019-2020, such as 'Characteristics and trends of coal mine safety development' by Li et al. noting improved safety in Guizhou (2011–2015) with average fatalities of 6.2 for gas accidents, and 'Risk assessment of gas explosion in coal mines based on fuzzy AHP and bayesian network' by Li et al. (2020), highlight a shift toward quantitative models and regional trend analysis amid 36,313 total works.
2020Research Safety and Risk Management with AI
PapersFlow provides specialized AI tools for Business, Management and Accounting researchers. Here are the most relevant for this topic:
AI Literature Review
Automate paper discovery and synthesis across 474M+ papers
Systematic Review
AI-powered evidence synthesis with documented search strategies
Deep Research Reports
Multi-source evidence synthesis with counter-evidence
See how researchers in Economics & Business use PapersFlow
Field-specific workflows, example queries, and use cases.
Start Researching Safety and Risk Management with AI
Search 474M+ papers, run AI-powered literature reviews, and write with integrated citations — all in one workspace.
See how PapersFlow works for Business, Management and Accounting researchers