On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

Chen, Pengyu

doi:10.3390/e21030269

Cited by 33 publications

(16 citation statements)

References 30 publications

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“…There are methods available to assign post-hoc weightings to attributes that remove the subjectivity of determining "importance" (Chen, 2019). Post-hoc weighting of attributes may be applied when using the management assessment framework to suit a particular goal.…”

Section: Discussionmentioning

confidence: 99%

M-Risk: A framework for assessing global fisheries management efficacy of sharks, rays, and chimaeras

Sherman

Sant

Simpfendorfer

et al. 2022

Preprint

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Fisheries management is essential to guarantee sustainable capture of target species and avoid undesirable declines of incidentally captured species. A key challenge is halting and reversing declines of shark and ray species, and specifically assessing the degree to which management is sufficient to avoid declines in relatively data-poor fisheries. While ecological risk analyses focus on intrinsic 'productivity' and extrinsic 'susceptibility', one would ideally consider the influence of 'fisheries management'. Currently, there is no single management evaluation that can be applied to a combination of fishery types at the scale of individual country or Regional Fisheries Management Organisations (RFMOs). Here, we outline a management risk (M-Risk) framework for sharks, rays, and chimaeras used to evaluate species' risk to overfishing resulting from ineffective management. We illustrate our approach with application to one country (Ecuador) and RFMO (Inter-American Tropical Tuna Commission) and illustrate the variation in scores among species. We found that while both management units assessed had similar overall scores, the scores for individual attributes varied. Ecuador scored higher in reporting-related attributes, while the IATTC scored higher in attributes related to data collection and use. We evaluated whether management of individual species was sufficient for their relative sensitivity by combining the management risk score for each species with their intrinsic sensitivity to determine a final M-Risk score. This framework can be applied to determine which species face the greatest risk of overfishing and be used by fisheries managers to identify effective management policies by replicating regulations from countries with lower risk scores.

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Section: Discussionmentioning

confidence: 99%

M-Risk: A framework for assessing global fisheries management efficacy of sharks, rays, and chimaeras

Sherman

Sant

Simpfendorfer

et al. 2022

Preprint

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“…For assignment using the coefficient of variation method [68,69], calculate the mean x j , standard deviation S 1j and coefficient of variation V j of the measurement degree x ij , and then seek the weight of the jth index. The formula is as follows.…”

Section: Positive Indicatorsmentioning

confidence: 99%

Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China

Xiong

Zou

et al. 2022

Sustainability

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In the context of accelerated urbanization, constructing resilient cities is an effective approach to tackling risks, such as extreme weather, and various urban challenges. The coupling and coordinated development of urbanization and urban resilience is a prominent embodiment of urban sustainable development and high-quality development capacity. In this study, Hunan Province, China, which is frequently affected by various disasters, is selected as a representative for examining the coupling and coordination relationship between urban resilience and urbanization level. The panel data are adopted to construct a dual-system evaluation framework integrating urban resilience and urbanization level based on the entropy weight-coefficient of variation (CV)-CRITIC method. The coupling coordination degree of this dual-system evaluation framework is calculated with the coupling model in physics and GM (1, 1) grey prediction model. Additionally, the spatial–temporal evolution characteristics of the coupling coordination degree are investigated and analyzed by ArcGIS and Geoda software. The following are indicated from the results: (1) The resilience of all cities is related to their geographical location and is characterized by a decrease from east to west; in addition, the resilience level of most cities presents a downward trend with time. (2) The urbanization level of most cities develops stably with time, but there is a growing gap in the urbanization level between regions. (3) There is a strong correlation between urban resilience and urbanization level in all cities; the unbalanced coupling and coordinated development emerge, specifically manifested by the polarization phenomenon. Eventually, a circle-difference spatial distribution pattern that starts from the central urban agglomeration and gradually decreases to the periphery is formed. (4) The prediction results of the coupling coordination degree suggest that there is an increasingly distinct polarization trend for the coupling and coordinated development between cities, and it is necessary to pay attention to those cities with a declined predicted value. (5) There is a significant positive spatial autocorrelation and agglomeration effects in the distribution of the coupling coordination degree of all cities, and the correlation is getting stronger with each passing year; the correlation mode is mainly characterized by homogeneity and supplemented by heterogeneity. Finally, several suggestions are proposed in this paper, in an attempt to lead the coordinated development of regions by novel urbanization and thus promote the sustainable development of cities. The methods and insights adopted in this study contribute to investigating the relationship between urban resilience and urbanization in China and other regions worldwide.

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“…• Sort the alternatives according to the scores (5) The integrated ( − ) is a method that takes into account the integrated index or a combination of the total score calculation TOPSIS method with Shannon entropy developed by Yang et al [23]. This method has been carried out by several researchers such as Chen [24], Choi [25], and Xu et al [26].…”

Section: Igdpg = (Gdpgmentioning

confidence: 99%

Measurement of Composites Index on Low Carbon Development Supporting Food Security

et al. 2021

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Since the concept of low carbon development (LCD) was adopted at the 1992 Rio de Janeiro Earth Summit, Indonesia has been committed to implementing the reduction of greenhouse gas emissions. In 2020, the country issued Presidential Regulation No. 18, which made LCD one of the national priority programs to maintain economic and social through low emission activities and reduce the overexploitation of natural resources. The LCD is a way for the country to overcome the tradeoff between economic growth and environmental degradation. Nevertheless, LCD is a new initiative for Indonesia, so it needs strategic indicators that influence the achievement of development. This paper attempts to integrate macro-regional development indicators that combine each region’s gross domestic product, human development index, and unemployment rate with LCD indicators, including the environmental quality index and g reenhouse gas emissions. The combined indicators were constructed by composite index through the Shannon entropy method, geometric and arithmetic means using the technique for order preference by similarity to ideal solution (TOPSIS) method. The results show significant differences among provinces concerning to macro-regional indicators once the LCD indicators were incorporated. The results of this analysis could be used by policymakers to evaluate the green development of regions.

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On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

Cited by 33 publications

References 30 publications

M-Risk: A framework for assessing global fisheries management efficacy of sharks, rays, and chimaeras

M-Risk: A framework for assessing global fisheries management efficacy of sharks, rays, and chimaeras

Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China

Measurement of Composites Index on Low Carbon Development Supporting Food Security

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