Vulnerability assessment and Disaster Prevention Adaptation Planning Strategies for Industrial Parks

2020 ◽  
Author(s):  
Jen-Te Pai ◽  
Hong-Jie Chen
Keyword(s):  
Vulnerability Assessment ◽  
Critical Infrastructure ◽  
Evaluation Framework ◽  
Disaster Prevention ◽  
Four Dimensions ◽  
Industrial Parks ◽  
Fuzzy Delphi ◽  
Planning Strategies ◽  
Social Exposure

<p>In recent years, lots of major disasters happened in the industrial parks. As a critical infrastructure, it become an urgent issue to tackle the disaster prevention and vulnerability assessment of the industrial parks. This study reviews the theory of vulnerability, regional resilience, disaster prevention system for industrial parks and related literature to establish the vulnerability assessment framework. Therefore, by utilizing the fuzzy Delphi method to screen the indicators in four dimensions such as physical, social, exposure and economic, and also the AHP expert panel to set the related weights and the correlation between their indicators. And, follow up with Dynamic ANP Process to extract the decision-making structures in 2019, and 2030. In total, 63 industrial parks were evaluated by this evaluation framework and categorized by different vulnerable types. Therefore, responding disaster adaptation strategies were proposed for different parks as a reference for government.</p>

How do people judge fairness in supervisor and peer relationships? Another assessment of the dimensions of justice

2019 ◽  
Vol 73 (12) ◽  
pp. 1632-1663 ◽  
Author(s):  
Marion Fortin ◽  
Russell Cropanzano ◽  
Natàlia Cugueró-Escofet ◽  
Thierry Nadisic ◽  
Hunter Van Wagoner
Keyword(s):  
Factor Analysis ◽  
Organizational Justice ◽  
Peer Relationships ◽  
Three Dimensions ◽  
Informational Justice ◽  
Justice Research ◽  
Four Dimensions ◽  
Follow Up Studies ◽  
Theoretical Considerations

The ultimate goal of organizational justice research is to help create fairer workplaces. This goal may have been slowed by an inattention to the criteria that workers themselves use to ascertain what they believe is fair. Referred to as ‘justice rules’, these were originally determined by theoretical considerations and organized in four dimensions (distributive, procedural, interpersonal and informational justice). There have been few attempts to investigate how far these classical norms represent fairness experiences and concerns in modern workplaces, especially in the context of working with peers. In a person-centric study, we investigate which rules people use when judging the fairness of interactions with supervisors and peers. This allows us to identify 14 new justice rules that are not taken into account by traditional measures. When subjected to factor analysis in follow-up studies, the enlarged set of rules suggests a more parsimonious structure for organizational justice, with only three dimensions apiece for supervisor and peer justice. We term these factors relationship, task, and distributive justice. Furthermore, we find that the resulting model of justice rules is a good predictor of attitudes in relation to supervisors and peers and can provide additional insights into how to understand and manage justice.

scholarly journals Equivalence of solutions between the four-dimensional novel and regularized EGB theories in a cylindrically symmetric spacetime

2020 ◽  
Vol 80 (11) ◽  
Author(s):  
Zi-Chao Lin ◽  
Ke Yang ◽  
Shao-Wen Wei ◽  
Yong-Qiang Wang ◽  
Yu-Xiao Liu
Keyword(s):  
The Novel ◽  
Field Equations ◽  
Four Dimensions ◽  
Link Type ◽  
Cylindrically Symmetric ◽  
Local Gravity ◽  
Cylindrically Symmetric Spacetime ◽  
Bonnet Term ◽  
Symmetric Spacetime

AbstractRecently, a novel four-dimensional Einstein–Gauss–Bonnet (EGB) theory was presented to bypass the Lovelock’s theorem and to give nontrivial effects on the four-dimensional local gravity. The main mechanism is to introduce a redefinition $$\alpha \rightarrow \alpha /(D-4)$$ α → α / ( D - 4 ) and to take the limit $$D\rightarrow 4$$ D → 4 . However, this theory does not have standard four-dimensional field equations. Some regularization procedures are then proposed to address this problem (http://arxiv.org/abs/2003.11552, http://arxiv.org/abs/2003.12771, http://arxiv.org/abs/2004.08362, http://arxiv.org/abs/2004.09472, http://arxiv.org/abs/2004.10716). The resultant regularized four-dimensional EGB theory has the same on-shell action as the original theory. Thus it is expected that the novel four-dimensional EGB theory is equivalent to its regularized version. However, the equivalence of these two theories is symmetry-dependent. In this paper, we test the equivalence in a cylindrically symmetric spacetime. The well-defined field equations of the two theories are obtained, with which our follow-up analysis shows that they are equivalent in such spacetime. Cylindrical cosmic strings are then considered as specific examples of the metric. Three sets of solutions are obtained and the corresponding string mass densities are evaluated. The results reveal how the Gauss–Bonnet term in four dimensions contributes to the string geometry in the new theory.

scholarly journals EPCT-11. RURALITY INDEX SCORE AND PEDIATRIC NEURO-ONCOLOGICAL OUTCOME IN ONTARIO

2021 ◽  
Vol 23 (Supplement_1) ◽  
pp. i49-i49
Author(s):  
Michelle Kameda-Smith ◽  
Gregory Pond ◽  
Forough Farrokhyar ◽  
Hsien Seow
Keyword(s):  
Critical Infrastructure ◽  
Oncological Outcome ◽  
Population Based ◽  
Index Score ◽  
Administrative Databases ◽  
Income Quintile ◽  
Oncological Patients ◽  
The Relationship ◽  
Pediatric Brain

Abstract Introduction Rapid access to neurosurgical decisions and definitive management are vital for the outcome of neurocritical patients. There are increased challenges of providing services and to maintain critical infrastructure for rural citizens. The relationship between rurality, marginalization and health outcomes has been identified as associated with higher mortality rates and higher rates of many diseases[G1]. Methods Employing linked administrative databases, we retrospectively analyzed a population based cohort of patients diagnosed with a pediatric brain tumour between 1996 to 2017 in Ontario, Canada. The Ontario Marginalization Index was employed as a surrogate for rurality providing an overall Rurality Index for Ontario (RIO) in addition to the 2016 Ontario Marginalization Index (ON-MARG). Results Of 1457 patients included, 54.0% were male, 277 of whom were diagnosed in infancy (i.e., < 3 years of age). Income quintile was evenly distributed with 11.5% classified as living in a rural area of Ontario. The median[G2] distance to the nearest pediatric neurosurgical hospital was 59.6km. The rurality index score (RIO) was 0 in 38.8% of children with the majority of patients with a RIO score of <39. The ON-MARG identified 51.9% of patients living in communities with low concentration of individuals without income from employment. A higher RIO score was not a significant factor (Continuous p=0.092/Ordinal p=0.20) associated with length[G3] of follow up, indicating rurality was not a significant factor for determining compliance to[G4] clinical follow-up. However, a trend towards reduced follow-up compliance in the higher RIO score cohort was identified. Conclusion Rurality and social determinants of health of the region pediatric neuro-oncological patients reside were not associated with patient outcome but a trend towards lower follow-up compliance was identified when children were from regions with RIO>39. Implementation of telehealth follow-up for these patients may overcome barrier to clinical follow-up.[G5]

scholarly journals Vulnerability Assessment of Resource-based Cities Based on Entropy Weight-topsis Model: A Case Study of Karamay, Xinjiang, China

2020 ◽  
Author(s):  
Xiaoyu Ju ◽  
Juhao Liu ◽  
Xiaodong Zhao
Keyword(s):  
Sustainable Development ◽  
Vulnerability Assessment ◽  
Assessment System ◽  
Entropy Weight ◽  
Four Dimensions ◽  
Healthy Development ◽  
Urban Vulnerability ◽  
Comprehensive Development ◽  
Vulnerability Score ◽  
Topsis Model

Abstract The vulnerability of a city is an important index to evaluate the healthy development of a city, and also an important guide to the harmonious and sustainable development of resource-based cities. This paper constructs the vulnerability assessment system of resource-based cities from four dimensions of resources, ecology, society and economy, and puts forward the Entropy Weight-TOPSIS model to study the dynamic changes of urban vulnerability in the resource-based city—Karamay. The research results show that the urban vulnerability score of Karamay rose steadily from 2008 to 2017, but the overall vulnerability score was always between 0.1 and 0.2, indicating that the urban vulnerability of Karamay has not significantly improved and is still in the stage of extremely fragile economic and social comprehensive development. The ecological vulnerability, social vulnerability and economic vulnerability of Karamay show a good trend of improvement, and social development contributes the most to the comprehensive vulnerability of the city, while the score of resource vulnerability shows a significant decline. Resource development and utilization is still the key to determine the healthy and sustainable development of Karamay.

scholarly journals Exploring patterns of corporate social responsibility using a complementary K-means clustering criterion

2020 ◽  
Vol 13 (2) ◽  
pp. 513-540 ◽  
Author(s):  
Zina Taran ◽  
Boris Mirkin
Keyword(s):  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Business Processes ◽  
Research Effort ◽  
Four Dimensions ◽  
Corporate Social ◽  
Small Clusters ◽  
Clustering Criterion ◽  
Single Focus

Abstract Companies’ objectives extend beyond mere profitability, to what is generally known as Corporate Social Responsibility (CSR). Empirical research effort of CSR is typically concentrated on a limited number of aspects. We focus on the whole set of CSR activities to identify any structure to that set. In this analysis, we take data from 1850 of the largest international companies via the conventional MSCI database and focus on four major dimensions of CSR: Environment, Social/Stakeholder, Labor, and Governance. To identify any structure hidden in almost constant average values, we apply the popular technique of K-means clustering. When determining the number of clusters, which is especially difficult in the case at hand, we use an equivalent clustering criterion that is complementary to the square-error K-means criterion. Our use of this complementary criterion aims at obtaining clusters that are both large and farthest away from the center. We derive from this a method of extracting anomalous clusters one-by-one with a follow-up removal of small clusters. This method has allowed us to discover a rather impressive process of change from predominantly uniform patterns of CSR activities along the four dimensions in 2007 to predominantly single-focus patterns of CSR activities in 2012. This change may reflect the dynamics of increasingly interweaving and structuring CSR activities into business processes that are likely to be extended into the future.

Planning Strategies on Disaster Prevention and Reduction for Industry in Mountainous Cities - Taking the Changshou District of Chongqing for Example

2013 ◽  
Vol 639-640 ◽  
pp. 952-956
Author(s):  
Jin Zhou ◽  
Wan Min Zhao
Keyword(s):  
Wide Distribution ◽  
Distribution Range ◽  
Disaster Prevention ◽  
Industrial City ◽  
Industrial Cities ◽  
Planning Strategies ◽  
Wide Distribution Range ◽  
Relative Factors

The disasters in mountainous cities are serious and special, which have wide distribution range and whose relative factors are fuzzy and complicated. So, in mountainous industrial cities it should pay more attention to prevent and reduce disasters especially. The article takes mountainous city Changshou District of Chongqing as an example, which is also the typical heavy chemical industrial city, to discuss the planning strategies of preventing and reducing disasters for heavy chemical industrial city in the complex mountainous topographical conditions.

scholarly journals A GIS-BASED MULTI-CRITERIA EVALUATION FRAMEWORK FOR UNCERTAINTY REDUCTION IN EARTHQUAKE DISASTER MANAGEMENT USING GRANULAR COMPUTING

2016 ◽  
Vol 42 (2) ◽  
pp. 58-68 ◽  
Author(s):  
Fatemeh Khamespanah ◽  
Mahmoud Reza Delavar ◽  
Milad Moradi ◽  
Hossein Sheikhian
Keyword(s):  
Disaster Management ◽  
Vulnerability Assessment ◽  
Granular Computing ◽  
Seismic Vulnerability ◽  
Current Data ◽  
Evaluation Framework ◽  
Earthquake Disaster ◽  
Dempster Shafer Theory ◽  
Earthquake Vulnerability ◽  
Shafer Theory

One of the most important steps in earthquake disaster management is the prediction of probable damages which is called earthquake vulnerability assessment. Earthquake vulnerability assessment is a multicriteria problem and a number of multi-criteria decision making models have been proposed for the problem. Two main sources of uncertainty including uncertainty associated with experts‘ point of views and the one associated with attribute values exist in the earthquake vulnerability assessment problem. If the uncertainty in these two sources is not handled properly the resulted seismic vulnerability map will be unreliable. The main objective of this research is to propose a reliable model for earthquake vulnerability assessment which is able to manage the uncertainty associated with the experts‘ opinions. Granular Computing (GrC) is able to extract a set of if-then rules with minimum incompatibility from an information table. An integration of Dempster-Shafer Theory (DST) and GrC is applied in the current research to minimize the entropy in experts‘ opinions. The accuracy of the model based on the integration of the DST and GrC is 83%, while the accuracy of the single-expert model is 62% which indicates the importance of uncertainty management in seismic vulnerability assessment problem. Due to limited accessibility to current data, only six criteria are used in this model. However, the model is able to take into account both qualitative and quantitative criteria.

scholarly journals A Security Assessment Model for Electrical Power Grid SCADA System

2019 ◽  
Vol 8 (12S2) ◽  
pp. 763-773
Keyword(s):  
Vulnerability Assessment ◽  
Cyber Security ◽  
Large Scale ◽  
Critical Infrastructure ◽  
Security Analysis ◽  
Assessment Model ◽  
Primary Concern ◽  
Scada System ◽  
Proposed Model ◽  
The Impact

Due to the wide application of SCADA systems in national critical infrastructure, their cyber security issues and vulnerabilities have been a primary concern; whereas, the impact and consequences of cyber-attacks to these systems have the potential to result in catastrophic consequences in the physical domain. Therefore, estimating possible attack impacts and identifying system vulnerabilities are major concern in SCADA management and operations. However, it is quite difficult to plan, execute and review vulnerability analysis in critical infrastructure systems as well as in industrial control systems (such as SCADA system) due to its complexity, large-scale and heterogeneity. Consequently, a consistent domain-specific conceptual model is required to establish a generic framework for cyber security analysis to examine and investigate security threats on cyber-physical systems, the role of the entities within the system as well as system operations. The main contribution of this work is to present a multi-facets model to support cyber security analysis practices such as penetration testing, vulnerability assessment and risk analysis. The proposed model presents a common insight among different SCADA configurations, implementations and the employed protocols to handle its complexity, heterogeneous and scale. To demonstrate the usability as a proof of concept and applicability of the proposed model, the paper also presents an example illustrating how the proposed model can be employed to carry out security vulnerability assessment.

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