A Bayesian and Analytic Hierarchy Process-Based Multilevel Community Resilience Evaluation Method and Application Study DOI Open Access
Jian‐Fu Lin, Y Li, Lixin Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6004 - 6004

Published: July 14, 2024

Cities are complex systems influenced by a multitude of factors, encompassing society, economy, culture, and environment. These factors make urban development highly vulnerable to various disturbances. Communities work as the fundamental building blocks city directly impact both its social structure spatial layout. Moreover, planning policies play crucial role in shaping trajectory communities living environment for residents. This study aims develop Bayesian analytic hierarchy process (BAHP)-based multilevel community resilience evaluation method assess ability system withstand disturbances recover from them. First, proposed establishes comprehensive assessment index that can evaluate environmental well institutional managerial at multiple levels. serves quantitative decision-making tool elucidate on resilience. Furthermore, “relative demand coefficient” (RDC) is compare different communities’ using inference determine most probable value (MPV). To validate applicability method, an empirical was conducted Dafapu located Longgang District Shenzhen. Meanwhile, simulated virtual employed comparison with illustrative example showcasing method’s superior performance after integrating RDC. The demonstrates BAHP-based effectively quantitatively highlight recovery capabilities limitations dimensions while providing clear direction enhancing research contributes new insights theory, provides practical quantify resilience, offers viable path actual enhancement

Language: Английский

Urban Resilience Index for Critical Infrastructure: A Scenario-Based Approach to Disaster Risk Reduction in Road Networks DOI Open Access
Seyed M. H. S. Rezvani, Maria João Falcão Silva, N. Almeida

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 4143 - 4143

Published: May 15, 2024

Floods pose a significant threat to road networks globally, disrupting transportation, isolating communities, and causing economic losses. This study proposes four-stage methodology (avoidance, endurance, recovery, adaptability) enhance the resilience of networks. We combine analysis constructed assets asset system performance with multiple disaster scenarios (Reactive Flood Response, Proactive Resilience Planning, Early Warning Systems). Advanced flood Geospatial-AI models open data sources pinpoint high-risk zones affecting crucial routes. The investigates how resilient infrastructure improve outcomes within Urban Index (CRI) planning, integrating metrics cost–benefit identify effective economically viable solutions. A case on Lisbon Road network subjected risk analyzes effectiveness efficiency these scenarios, through loss gain cost analysis. Scenario 2, demonstrates 7.6% increase compared 1, Reactive 3.5% 3, Systems Implementation. By considering performance, optimization, cost, supports strategies that minimize impacts, while enabling communities withstand recover from events. Integrating ensures sustainability feasibility reduction measures.

Language: Английский

Citations

12

Business Resilience for Small and Medium Enterprises and Startups by Digital Transformation and the Role of Marketing Capabilities—A Systematic Review DOI Creative Commons
Hamed Hokmabadi, Seyed M. H. S. Rezvani, Celso Augusto de Matos

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(6), P. 220 - 220

Published: June 20, 2024

This study investigates the intersection of digital transformation, business resilience, and marketing capabilities, focusing on small businesses startups. The revolution has significantly transformed operations, supply chain management, overall organizational performance. Conducted following PRISMA guidelines, this systematic literature review used Scopus database, refining an initial 247 documents to 51 relevant studies. Key trends include vital role transformation in enhancing use emerging technologies for sustainable chains, importance skills knowledge management. Research highlights implications e-commerce adoption SMEs, revealing need firms develop dynamic capabilities thrive turbulent environments. However, gaps remain, such as understanding long-term impacts interactions between maturity, innovation, sustainability, necessity comparative studies across industries regions. Additionally, investigating how contribute resilience is essential, enabling startups withstand recover from disruptions. Addressing these will enhance our transformation’s multifaceted SMEs startups, helping them leverage navigate challenges seize opportunities era.

Language: Английский

Citations

12

Seismic Resilience in Critical Infrastructures: A Power Station Preparedness Case Study DOI Creative Commons
Gili Lifshitz Sherzer, Alon Urlainis,

Shani Moyal

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 3835 - 3835

Published: April 30, 2024

The role of critical infrastructures in maintaining the functioning economy and society ensuring national security, particularly their durability delivering essential services during crises, including natural disasters such as earthquakes, is critical. This work introduces an analytical methodology to quantify potential earthquake damage power stations evaluate cost-effectiveness measures enhance seismic resistance. By employing fragility curves probabilistic risk analyses, this approach provides a structured framework for comprehensive assessment risks identification economically practical mitigation strategies. A detailed examination strategies protect station components against activity presented, revealing that minor investment relative overall project budget earthquake-proofing effective. investment, representing marginal fraction 0.5% total expenditure significantly reduces failure by 36%. Reinforcing elements, switching stations, water treatment facilities, tanks, emphasized ensure continued operation after earthquake. research highlights significance integrating with benefit-to-cost analysis strategic decision-making processes, supporting prioritization investments infrastructure enhancements. These enhancements promise substantial reductions at minimal costs, thus protecting impacts disasters. contributes state-of-the-art resilience.

Language: Английский

Citations

7

Resilience Through Innovation DOI
Usharani Bhimavarapu

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 481 - 496

Published: Feb. 7, 2025

Entrepreneurial resilience is critical in tackling the dynamic and uncertain character of business challenges. Entrepreneurs need to be resilient adaptable responding market changes, technology shocks, shifting customer demands. This study aims establish how resilience, grounded such innovative behavior as adoption strategic choice, enhances survival performance small medium enterprises (SMEs). We look at some drivers, including leadership styles, risk management mechanisms, organizational adaptability, that construct entrepreneurial environment. The further explores role e-commerce (EC) platforms technologies towards constructing resilience. E-commerce enables entrepreneurs expand their businesses more effectively using online platforms. intersection demonstrates innovation can used strength firms, bringing new opportunities survive come out competitive markets.

Language: Английский

Citations

0

Infrastructure and Disaster Risk: A Comparative Study of Pakistan and other Nations (By C.M.S. Akbar, Et Al.) DOI

Chaudhry Muhammad Shahram Akbar,

Muhammad Mursaleen,

Awais Bashir

et al.

Construction technologies and architecture, Journal Year: 2025, Volume and Issue: 17, P. 127 - 136

Published: April 15, 2025

As compared to most of the developed countries, Pakistan’s infrastructure has room for improvement and disaster handling issues. In construction industry Pakistan factor resilience is irrelevant. However, it a priority in emerging first-world economies, as they allocate significant resources towards updating maintaining key systems with help sophisticated risk evaluation tools. Neglect structures through lack proper maintenance results early failures especially during flood disasters. Additionally, urbanization occurs at very fast rate, this detrimental effect on urban infrastructure, consequently leads flooding since there no emphasis placed matters concerning drainage increased population cities. Thus, important acknowledge that questions development are sensitive influential when comes identifying risks disasters management. China instance- neighbor whose economy still deemed an economy, improved management have high resilient such highraise flyovers earthquake resistant buildings amongst others among others. availability replacement assets quick repair aftermath made possible undertake recovery even aforementioned constraining factors. order achieve enhancement reduction needs significance discriminates one facets reduction. Some can bring best out global practices while adapting them country’s localities so its infrastructural system, ability safeguard people their assets, developmental accomplishments enhanced.

Language: Английский

Citations

0

Resilience and sustainability toward asset management improvement DOI

F. Salvado,

Maria João Falcão Silva,

Patrícia Guimarães Couto

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 307 - 338

Published: Jan. 1, 2025

Language: Английский

Citations

0

Mapping Geospatial AI Flood Risk in National Road Networks DOI Creative Commons
Seyed M. H. S. Rezvani, Maria João Falcão Silva, N. Almeida

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(9), P. 323 - 323

Published: Sept. 7, 2024

Previous studies have utilized machine learning algorithms that incorporate topographic and geological characteristics to model flood susceptibility, resulting in comprehensive maps. This study introduces an innovative integration of geospatial artificial intelligence for hazard mapping assess risks on road networks within Portuguese municipalities. Additionally, it incorporates OpenStreetMap’s network data vulnerability, offering a descriptive statistical interpretation. Through spatial overlay techniques, segments are evaluated risk based their proximity identified zones. method facilitates the detailed flood-impacted networks, providing essential insights infrastructure planning, emergency preparedness, mitigation strategies. The emphasizes importance integrating analysis tools with open enhance resilience critical against natural hazards. maps instrumental understanding impact floods transportation infrastructures aiding informed decision-making policymakers, insurance industry, asset managers.

Language: Английский

Citations

2

Smart Hotspot Detection Using Geospatial Artificial Intelligence: A Machine Learning Approach to Reduce Flood Risk DOI Creative Commons
Seyed M. H. S. Rezvani,

Alexandre Gonçalves,

Maria João Falcão Silva

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 115, P. 105873 - 105873

Published: Oct. 2, 2024

Language: Английский

Citations

2

A Bayesian and Analytic Hierarchy Process-Based Multilevel Community Resilience Evaluation Method and Application Study DOI Open Access
Jian‐Fu Lin, Y Li, Lixin Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6004 - 6004

Published: July 14, 2024

Cities are complex systems influenced by a multitude of factors, encompassing society, economy, culture, and environment. These factors make urban development highly vulnerable to various disturbances. Communities work as the fundamental building blocks city directly impact both its social structure spatial layout. Moreover, planning policies play crucial role in shaping trajectory communities living environment for residents. This study aims develop Bayesian analytic hierarchy process (BAHP)-based multilevel community resilience evaluation method assess ability system withstand disturbances recover from them. First, proposed establishes comprehensive assessment index that can evaluate environmental well institutional managerial at multiple levels. serves quantitative decision-making tool elucidate on resilience. Furthermore, “relative demand coefficient” (RDC) is compare different communities’ using inference determine most probable value (MPV). To validate applicability method, an empirical was conducted Dafapu located Longgang District Shenzhen. Meanwhile, simulated virtual employed comparison with illustrative example showcasing method’s superior performance after integrating RDC. The demonstrates BAHP-based effectively quantitatively highlight recovery capabilities limitations dimensions while providing clear direction enhancing research contributes new insights theory, provides practical quantify resilience, offers viable path actual enhancement

Language: Английский

Citations

0