A ground-up approach to estimate the likelihood of business interruption
A ground-up approach to estimate the likelihood of business interruption
复制标题
估计业务中断可能性的彻底方法
DOI:
10.1016/j.ijdrr.2019.101314
复制
发表时间:
2019
影响因子:
5
通讯作者:
Gardoni, Paolo
中科院分区:
文献类型:
--
作者:
Nocera, Fabrizio;Gardoni, Paolo
Critical infrastructure (such as transportation, water, electric power, wastewater, and telecommunications) provides the conveyance of goods, services, and resources to communities, which are vital for economic activities. Buildings, bridges, and other structures and components of the infrastructure might be subject to natural and anthropogenic hazards, which may lead to a reduction or loss of functionality of infrastructure. Businesses may experience disruptions because of (i) direct damage to the business properties and facilities, (ii) reduction or loss of functionality of the supporting critical infrastructure, or (iii) impact on social systems affecting the availability of the workforce at a specific business and supporting businesses as well as customers. Current approaches do not model the functionality of business properties and supporting infrastructure, generally obtaining only empirical estimates of business interruption losses. Such predictions might not be applicable to different businesses, supporting infrastructure, social systems, locations, and hazards; and they would in general not reflect possible changes in the built environment due to mitigation strategies and interventions. This paper proposes a mathematical formulation that overcomes the limitations in the current approaches. The proposed formulation models and quantifies the likelihood of business interruption with a ground-up approach by incorporating the dependency of business operations on physical structures, infrastructure and social systems. The paper illustrates the proposed formulation by investigating the business interruption of an example food retail store in Seaside, Oregon subject to a seismic hazard.
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影响因子:
5.8
作者:
J. Bai;P. Gardoni;M. B. Hueste
通讯作者:
J. Bai;P. Gardoni;M. B. Hueste
DOI:
10.1111/j.1468-5973.2011.00637.x
发表时间:
2011-06-01
影响因子:
3.1
作者:
Haynes, George W.;Danes, Sharon M.;Stafford, Kathryn
通讯作者:
Stafford, Kathryn
影响因子:
3.8
作者:
A. Rose;C. Huyck
通讯作者:
C. Huyck
影响因子:
--
作者:
M. A. Thompson
通讯作者:
M. A. Thompson
影响因子:
3.8
作者:
C. Murphy;P. Gardoni
通讯作者:
C. Murphy;P. Gardoni