Dynamically examining emergency response network resilience: A case study of a typical earthquake in China DOI
Fei Sun, Jia‐wen Zhou,

Shiyu Hu

et al.

Safety Science, Journal Year: 2024, Volume and Issue: 184, P. 106766 - 106766

Published: Dec. 30, 2024

Language: Английский

Drone selection for disaster responses: an application of the stratified-best-worst method DOI

Dijoy Johny,

Sidhartha S. Padhi, T.C.E. Cheng

et al.

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Purpose The purpose of this research is to address the challenges selecting optimal drones for disaster response operations under uncertainties. Traditional static (deterministic) models often fail capture complexities and uncertainties scenarios. This study aims develop a more resilient adaptable decision-making framework by integrating best-worst method (BWM) with stratified multi-criteria (SMCDM), focusing on various uncertainty scenarios such as weather conditions, communication navigation control issues. Design/methodology/approach methodology involves identifying seven essential criteria drone evaluation, guided contingency theory. BWM derives weights each criterion comparing best worst alternatives. SMCDM incorporates different into process. Sensitivity analysis assesses robustness decisions weightings operational integrated approach demonstrated through practical application Kerala flood scenario. Findings proves be highly effective in adapting scenarios, enabling decision-makers consistently identify response. method’s ability account uncertain conditions weather, issues ensures that selected based situation at hand. Research limitations/implications fills critical gaps literature offering comprehensive model selection. However, there are certain limitations. reliance expert opinions introduces subjectivity, potentially affecting generalizability results. In addition, study’s focus single case, floods, limits its applicability other geographic contexts. Integrating real-time data analytics process could also enhance model’s adaptability evolving improve relevance. Practical implications offers practical, By SMCDM, can uncertainties, or disruptions, make informed choices. leads better resource allocation efficient operations, ultimately enhancing speed effectiveness relief efforts adjust scenario-specific factors optimally deployed according unique demands disaster. Social incorporating proposed assists appropriately choosing their characteristics crucial specific thereby efficiency operations. Originality/value presents integration creating dynamic selection addresses posed environments. Unlike traditional methods, allows resulting reliable responsive deployment. bridges gap existing tool response, providing new insights applications optimizing complex, real-world

Language: Английский

Citations

1

Decentralized disaster governance in Brebes regency DOI Open Access
Rutiana Dwi Wahyunengseh,

D B Pamungkas

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1490(1), P. 012003 - 012003

Published: April 1, 2025

Abstract Disasters are unplanned events. require local governments to be prepared for such The potential of decentralized governance in disaster management improve responsiveness and collaboration has made it an important area research. In Central Java Province, Indonesia, Brebes Regency the highest risk index. This field aims analyze barriers government implementing management. study was carried out using a qualitative method, with key informant interviews Regency. findings revealed that hampered by several barriers. first barrier is autonomy. lack coordination capabilities due head implementation Regional Disaster Management Agency ( Badan Penanggulangan Bencana Daerah ) being at lower echelon than other agency. Another flexibility reports. Small-scale disasters must prepare Post-Disaster Rehabilitation Reconstruction Plan Rencana Rehabilitasi dan Rekonstruksi Pascabencana/ R3P ), which complicated procedures. suggests Head Implementation agencies need have equivalence coordination. Additionally, review needs conducted on preparation small disasters.

Language: Английский

Citations

0

Knowledge Mining for Collaborative Relationships in Hydropower Project Safety Management DOI Creative Commons
Yunfei Xiang, Peng Lin, Yanhui Luo

et al.

KSCE Journal of Civil Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 100255 - 100255

Published: April 1, 2025

Language: Английский

Citations

0

Task Ambiguity: The Effects of Missing Standard Operating Procedures and Inter-Leadership Harmony in Organizations DOI Creative Commons

Septien Dwi Savandha,

Adelia Azzahra,

Nur Khalimah Purbasari

et al.

American Journal of Economic and Management Business (AJEMB), Journal Year: 2024, Volume and Issue: 3(1), P. 1 - 10

Published: May 30, 2024

This research explores the impact of task ambiguity on organizational progress, particularly in context mental health organizations experiencing uncertainty flow and lacking effective Standard Operating Procedures (SOPs) leadership coordination. Utilizing a qualitative approach, data was gathered through interviews with organization members analysis internal documents from 20 randomly selected organizations. The findings indicate that ABC Organization significantly affects member productivity satisfaction, caused by unclear ineffective SOPs inconsistent coordination leading to decreased motivation, increased stress, reduced work quality among members. To address these issues, it is recommended develop implement comprehensive clear enhance communication leaders. would help reduce ambiguity, improve efficiency, create more stable supportive environment.

Language: Английский

Citations

1

An enhanced dynamic-network-based framework for quantifying and enhancing the resilience of disaster response networks to old communities under rainstorm waterlogging DOI
Tiantian Gu,

Yongchao Wang,

Lingzhi Li

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 372, P. 123098 - 123098

Published: Nov. 16, 2024

Language: Английский

Citations

1

A Spatial Landslide Risk Assessment Based on Hazard, Vulnerability, Exposure, and Adaptive Capacity DOI Open Access

Thi-Tam Tran,

Sihong Liu, Hang Ha

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9574 - 9574

Published: Nov. 3, 2024

Landslides threaten human life, property, and vital infrastructure in most mountainous regions. As climate change intensifies extreme weather patterns, the landslide risk is likely to increase, resulting challenges for disaster management, sustainability development, community resilience. This study presents a comprehensive framework assessing risk, integrating advanced machine learning models with Iyengar–Sudarshan method. Our case Son La province, Northwest region of Vietnam, data collected from 1771 historical occurrences fifteen influencing factors developing susceptibility maps using ensemble models. The method was applied determine weights exposure, vulnerability, adaptive capacity indicators. map shows that highest-risk districts province are located central northeastern regions, including Mai Son, Phu Yen, Thuan Chau, Yen Song Ma, Bac Yen. These experience high hazards, often affecting densely populated urban village areas vulnerable populations, such as young children, elderly, working-age women. In contrast, due minimal Quynh Nhai Muong have lower risks. Despite having exposure City situated low-susceptibility zone capacity, low this region. proposed provides reference tool mitigating enhancing strategic decision making susceptible landslides while advancing our understanding dynamics fostering resilience long-term prevention.

Language: Английский

Citations

0

Dynamically examining emergency response network resilience: A case study of a typical earthquake in China DOI
Fei Sun, Jia‐wen Zhou,

Shiyu Hu

et al.

Safety Science, Journal Year: 2024, Volume and Issue: 184, P. 106766 - 106766

Published: Dec. 30, 2024

Language: Английский

Citations

0