Time dynamics of emergency response network for hazardous chemical accidents: A case study in China

Du, Lei; Feng, Yingbin; Tang, Liyaning; Wei, Lixiang; Kang, Wei

doi:10.1016/j.jclepro.2019.119239

Cited by 35 publications

(29 citation statements)

References 36 publications

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“…It proves that the centralized management system is more conducive to the rapid coordination and resource integration in emergency situations, and effectively reduces the risk of poor communication between organizations. This is in line with the conclusions of Du et al ( 2020 ) that centralized management systems may be more conducive to the integration of emergency resources and information in the shortest time under emergency situations. In addition, with the development of COVID-19, the mechanism and prevention and control methods of the epidemic have gradually become clear, the decentralized network became more conducive to inter-organizational communication and emergency operations under multi-task.…”

Section: Discussionsupporting

confidence: 91%

“…Researchers have used SNA to carry out a series of studies on organizational collaboration and communication in emergency response in different fields. Du et al ( 2020 ) has built a collaborative network to deal with hazardous chemical accidents, emphasizing the need to strengthen collaboration among public sector organizations, non-profit organizations (NPOs) and private organizations (POs). Curtis ( 2018 ) studied the emergency response network after Hurricane Katrina and revealed that isolated or peripheral organizations hindered effective response.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic analysis of emergency inter-organizational communication network under public health emergency: a case study of COVID-19 in Hubei Province of China

Liu

Wang

2021

Nat Hazards

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Public health emergencies, especially major infectious diseases, may cause global crises. Timely and effective communication is essential for response to such incidents. However, the emergency response to such incidents usually lasts longer and break out repeatedly, and the existing static emergency communication network (ECN) analysis cannot fully reflect the dynamic information interaction between organizations during the emergency process. Therefore, this article takes the recent COVID-19 epidemic in Hubei, China as a case, and uses social network analysis to reveal the dynamic evolution of communication networks, positions, roles, and tasks of organizations from the time dimension. The results show that: (1) the ECN has changed from concentrated to decentralized over time; (2) the positions and roles of participating organizations in the ECN has changed, but there are still a few key organizations that at the central position in all phases of emergency communication; (3) the core tasks have changed due to emergency needs at each stage; (4) under the concentrated management system, the core organization of the ECN mainly comes from government organizations. The research results reveal the dynamic evolution of communication networks between different types of emergency organizations, which is beneficial to guide emergency management of public health emergencies. In actual emergency, the emergency communication mode should be dynamically adjusted based on the characteristics of the emergency situation at different stages, comprehensively using the advantages of the concentrated and decentralized emergency network. In addition, communication between different types of organizations such as governments, research institutions, and enterprises should be strengthened, and channels for diversified organizations to participate in emergency communication should be set up. The research helps to improve communication between emergency response organizations and is of great significance to controlling and reducing the harm caused by public health emergencies.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Dynamic analysis of emergency inter-organizational communication network under public health emergency: a case study of COVID-19 in Hubei Province of China

Liu

Wang

2021

Nat Hazards

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show abstract

“…But the unique capability of additive manufacturing could make it available with the required responsiveness. Considering the frequencies of hazardous chemical accidents for the last decade, Du et al (2020) attempted to create an emergency response network (ERN) for mitigating, as well as offering other HL support, for chemical fire accidents. The study focused on the 2019 chemical plant explosion accident of Jiangsu Xiangshui in which 78 people were killed and 566 were injured.…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

“…Referring to Wang et al (2018), during the last decade up to 2018, losses from chemical hazard accidents exceeded $100 million in HL expenses. Du et al (2020) also evaluated the difference in the response performance for centralized and decentralized ERNs. According to the study, decentralized or hybrid ERNs have a better chance for improving the response.…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

A Humanitarian Logistics-Based Planning for Rescue and Relief Operation After a Devastating Fire Accident

Das

Lashkari

Khan³

2020

OSCM: An Int. Journal

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“…The accident caused a total of 25 deaths and 46 injuries, with a direct property loss of RMB 44.59 million [ 4 ]. Because chemical plants produce and store many kinds of flammable, explosive and toxic materials, once the explosion occurs, its destructive power is difficult to estimate, and can even lead to secondary derivative disasters [ 5 ]. Therefore, in order to prevent and effectively tap the risk of accidents and analyze the causes, the development and consequences of the accidents are very important.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Network-Based Risk Analysis of Chemical Plant Explosion Accidents

Wang

Liu

2020

IJERPH

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The chemical industry has made great contributions to the national economy, but frequent chemical plant explosion accidents (CPEAs) have also caused heavy property losses and casualties, as the CPEA is the result of interaction of many related risk factors, leading to uncertainty in the evolution of the accident. To systematically excavate and analyze the underlying causes of accidents, this paper first integrates emergency elements in the frame of orbit intersection theory and proposes 14 nodes to represent the evolution path of the accident. Then, combined with historical data and expert experience, a Bayesian network (BN) model of CPEAs was established. Through scenario analysis and sensitivity analysis, the interaction between factors and the impact of the factors on accident consequences was evaluated. It is found that the direct factors have the most obvious influence on the accident consequences, and the unsafe conditions contribute more than the unsafe behaviors. Furthermore, considering the factor chain, the management factors, especially safety education and training, are the key link of the accident that affects unsafe behaviors and unsafe conditions. Moreover, effective government emergency response has played a more prominent role in controlling environmental pollution. In addition, the complex network relationship between elements is presented in a sensitivity index matrix, and we extracted three important risk transmission paths from it. The research provides support for enterprises to formulate comprehensive safety production management strategies and control key factors in the risk transmission path to reduce CPEA risks.

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Time dynamics of emergency response network for hazardous chemical accidents: A case study in China

Cited by 35 publications

References 36 publications

Dynamic analysis of emergency inter-organizational communication network under public health emergency: a case study of COVID-19 in Hubei Province of China

Dynamic analysis of emergency inter-organizational communication network under public health emergency: a case study of COVID-19 in Hubei Province of China

A Humanitarian Logistics-Based Planning for Rescue and Relief Operation After a Devastating Fire Accident

Bayesian Network-Based Risk Analysis of Chemical Plant Explosion Accidents

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