Risk and Reliability Assessment Related to Sustainable Development
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: closed (1 April 2026) | Viewed by 734
Special Issue Editor
Interests: reliability testing; accelerated life testing; reliability estimation; maintenance strategy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Research on risk and reliability assessment within sustainable development confronts the multifaceted challenges of managing the economic, environmental, and social dimensions of modern systems. Traditional risk assessment methodologies—designed for static, linear scenarios—fall short in capturing the dynamic interactions and inherent uncertainties characteristic of sustainable development contexts. Consequently, current research is dedicated to developing innovative approaches that incorporate advanced statistical models, big data analytics, and machine learning techniques to analyze heterogeneous data and more accurately predict potential vulnerabilities. Moreover, these studies highlight the importance of interdisciplinary collaboration by integrating insights from engineering, environmental sciences, economics, and social studies to build comprehensive risk indicators and adaptive reliability frameworks. Ultimately, our aim is to equip decision-makers with robust tools that enhance system resilience and enable informed policy-making, ensuring that sustainable development initiatives can effectively mitigate emerging risks while promoting long-term stability and growth.
Dr. Chao Zhang
Guest Editor
Manuscript Submission Information
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Keywords
- risk assessment
- sustainable development
- uncertainty management
- big data analytics
- decision-making tools
- system resilience
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