scholarly journals Analysis of the Public Flood Risk Perception in a Flood-Prone City: The Case of Jingdezhen City in China

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1577 ◽  
Author(s):  
Zhiqiang Wang ◽  
Huimin Wang ◽  
Jing Huang ◽  
Jinle Kang ◽  
Dawei Han

Understanding and improving public flood risk perception is conducive to the implementation of effective flood risk management and disaster reduction policies. In the flood-prone city of Jingdezhen, flood disaster is one of the most destructive natural hazards to impact the society and economy. However, few studies have been attempted to focus on public flood risk perception in the small and medium-size city in China, like Jingdezhen. Therefore, the purpose of this study was to investigate the public flood risk perception in four districts of Jingdezhen and examine the related influencing factors. A questionnaire survey of 719 randomly sampled respondents was conducted in 16 subdistricts of Jingdezhen. Analysis of variance was conducted to identify the correlations between the impact factors and public flood risk perception. Then, the flood risk perception differences between different groups under the same impact factor were compared. The results indicated that the socio-demographic characteristics of the respondents (except occupation), flood experience, flood knowledge education, flood protection responsibility, and trust in government were strongly correlated with flood risk perception. The findings will help decision makers to develop effective flood risk communication strategies and flood risk reduction policies.

Risk Analysis ◽  
2016 ◽  
Vol 36 (11) ◽  
pp. 2158-2186 ◽  
Author(s):  
Eoin O'Neill ◽  
Finbarr Brereton ◽  
Harutyun Shahumyan ◽  
J. Peter Clinch

2021 ◽  
Vol 884 (1) ◽  
pp. 012017
Author(s):  
H Maulana ◽  
G Gumelar ◽  
G Irianda

Abstract The study of flood risk perception has been received growing attention in multi-disciplinary research and practice. Indonesia’s government approach on managing the impact of flood is highly dependence on structural engineering solutions. Few empirical attempts have systematically established to understand whether positive psychological capacity strategy helps flood survivors to overcome the negative impact of flood. This study aims to investigate the effectiveness of salutogenic and social capital models on flood risk perception. A national survey was used to collect the data of flood survivors across Indonesia. A battery comprising socio-demographic information, measures of salutogenic variable (sense of coherence), social capital (sense of community and social trust), and individual risk perception on flood was administered to the Indonesian adult (N = 194). This study findings showed that the overall model successfully predicted the perceived risk dimensions. However, different routes of correlation across variables were identified. Discussion and future recommendation are presented with regard to the study finding.


Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Zhiying Wang ◽  
Xiaodi Liu ◽  
Shitao Zhang

Decision-making for selecting response plans problem (SRPP) has been widely concerning to scholars. However, most of the existing studies on this problem are focused on public emergencies, and little attention has been paid to the decision-makers’ urgent need for solving the SRPP in response to public opinion crisis (POC) that may lead to panic buying of materials derived from public emergencies. POC has obvious characteristics of group behaviors that directly resulted from panics and psychological appeals of the public. Therefore, for solving the SRPP in POC, it is necessary to consider the deep-seated cause that result in panics and psychological appeals of the public, i.e., risk perception of the public (RPP). Firstly, the multicase study is employed to describe the SRPP of POC, and thus eight typical cases are chosen to analyze POC and its relevant response measures. Then, the RPP is described with prospect theory through considering the behavioral characteristics and critical sense of the public, the response measures of decision-makers, and the importance and ambiguity of POC. Further, considering the behavioral characteristics of decision-makers and the impact of alternative response plans on the evolution of POC scenarios, a new decision method for solving the SRPP with the intervention of the RPP is proposed by using cumulative prospect theory and a manner of comparing alternatives for each other. Finally, an example is given to illustrate the potential application and effectiveness of the proposed method.


2020 ◽  
Vol 96 (3) ◽  
pp. 366-383 ◽  
Author(s):  
Hannah Hennighausen ◽  
Jordan F. Suter

2021 ◽  
pp. 1-22
Author(s):  
Metin Orbay ◽  
Orhan Karamustafaoğlu ◽  
Ruben Miranda

This study analyzes the journal impact factor and related bibliometric indicators in Education and Educational Research (E&ER) category, highlighting the main differences among journal quartiles, using Web of Science (Social Sciences Citation Index, SSCI) as the data source. High impact journals (Q1) publish only slightly more papers than expected, which is different to other areas. The papers published in Q1 journal have greater average citations and lower uncitedness rates compared to other quartiles, although the differences among quartiles are lower than in other areas. The impact factor is only weakly negative correlated (r=-0.184) with the journal self-citation but strongly correlated with the citedness of the median journal paper (r= 0.864). Although this strong correlation exists, the impact factor is still far to be the perfect indicator for expected citations of a paper due to the high skewness of the citations distribution. This skewness was moderately correlated with the citations received by the most cited paper of the journal (r= 0.649) and the number of papers published by the journal (r= 0.484), but no important differences by journal quartiles were observed. In the period 2013–2018, the average journal impact factor in the E&ER has increased largely from 0.908 to 1.638, which is justified by the field growth but also by the increase in international collaboration and the share of papers published in open access. Despite their inherent limitations, the use of impact factors and related indicators is a starting point for introducing the use of bibliometric tools for objective and consistent assessment of researcher.


2021 ◽  
Author(s):  
Emanuel Kulczycki ◽  
Marek Hołowiecki ◽  
Zehra Taskin ◽  
Franciszek Krawczyk

One of the most fundamental issues in academia today is understanding the differences between legitimate and predatory publishing. While decision-makers and managers consider journals indexed in popular citation indexes such as Web of Science or Scopus as legitimate, they use two blacklists (Beall’s and Cabell’s), one of which has not been updated for a few years, to identify predatory journals. The main aim of our study is to reveal the contribution of the journals accepted as legitimate by the authorities to the visibility of blacklisted journals. For this purpose, 65 blacklisted journals in social sciences and 2,338 Web-of-Science-indexed journals that cited these blacklisted journals were examined in-depth in terms of index coverages, subject categories, impact factors and self-citation patterns. We have analysed 3,234 unique cited papers from blacklisted journals and 5,964 unique citing papers (6,750 citations of cited papers) from Web of Science journals. We found that 13% of the blacklisted papers were cited by WoS journals and 37% of the citations were from impact-factor journals. As a result, although the impact factor is used by decision-makers to determine the levels of the journals, it has been revealed that there is no significant relationship between the impact factor and the number of citations to blacklisted journals. On the other hand, country and author self-citation practices of the journals should be considered. All the findings of this study underline the importance of the second part of this study, which will examine the contents of citations to articles published in predatory journals because understanding the motivations of the authors who cited blacklisted journals is important to correctly understand the citation patterns between impact-factor and blacklisted journals.


Author(s):  
Federica Spaccatini ◽  
Luca Pancani ◽  
Juliette Richetin ◽  
Paolo Riva ◽  
Simona Sacchi

2020 ◽  
pp. 1-19
Author(s):  
Clare Cannon ◽  
Kevin Fox Gotham ◽  
Katie Lauve-Moon ◽  
Brad Powers

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