Heavy snow disruptions are common and costly occurrences in the UK,including Scotland.Yet,heavy snow remains an underresearched aspect of disaster risks in Scotland.This study critically examined the 2018 heavy snow e...Heavy snow disruptions are common and costly occurrences in the UK,including Scotland.Yet,heavy snow remains an underresearched aspect of disaster risks in Scotland.This study critically examined the 2018 heavy snow event in Scotland referred to as the“Beast from the East”(BfE)in order to explore the different sources of information used by the public in preparation for and response to heavy snow emergencies.Our study also examined the effectiveness of BfE risk communication between authorities and the public and sought to determine if there is a relationship between risk information received and the intention to mitigate risk.Data were collected through a semistructured survey from(n=180)residents of the Annandale and Eskdale region of Dumfries and Galloway,Scotland.Our analysis shows that public authority information sources were the most sought-after information sources,followed by online and web sources.We found statistically significant differences between groups(such as age,gender,and mobility/disability)in terms of using risk information sources.Further analysis shows that the relationship between information received and the intention to mitigate risks is not linear but influenced by intervening variables such as work pressures,financial commitment,and stakeholders’expectations.We argue that where full adherence to official risk advice is required,policymakers should carefully consider issues around these three factors.展开更多
Effective risk communication is essential for disaster risk management.Apart from empowering communities to make informed risk choices,risk information disclosure can also drastically enhance their disaster preparedne...Effective risk communication is essential for disaster risk management.Apart from empowering communities to make informed risk choices,risk information disclosure can also drastically enhance their disaster preparedness,especially concerning conjoint scenarios of technological and natural hazards(Natech).A fundamental precondition is the actual demand for such information.This study ventures to assess whether residents around Osaka Bay have this demand,or"appetite,"for risk information disclosure,as well as to understand their communicative behavior and perceived challenges in the Japanese context through the prism of the Situational Theory of Problem Solving.To test this framework under realistic conditions,data were collected through a household questionnaire survey from two urban areas near industrial complexes in Osaka Bay.The results show that identifying Natech risk information deficiency as a problem was not a statistically significant predictor for individuals'motivation to communicate.However,their motivation increased as their perceived personal involvement with the situation rose,while the perceived obstacles in doing something about it exerted a negative influence on their motivation.Individuals'motivation intensified their communicative actions to solve this problem.Public segmentation underscored the elevated public perceptions concerning the issue of risk information deficiency in nearly nine out of ten respondents.These findings indicate a strong community appetite for chemical and Natech risk information,which subsequently led to high situational motivation to engage in communicative action,particularly information acquisition.Risk management policy is suggested to focus on introducing chemical risk information disclosure regulatory initiatives to encourage citizen engagement.展开更多
Nowadays, chemical safety has attracted considerable attention, and chemical gas leakage monitoring and source term estimation(STE) have become hot spots. However, few studies have focused on sensor layouts in scenari...Nowadays, chemical safety has attracted considerable attention, and chemical gas leakage monitoring and source term estimation(STE) have become hot spots. However, few studies have focused on sensor layouts in scenarios with multiple potential leakage sources and wind conditions, and studies on the risk information(RI) detection and prioritization order of sensors have not been performed. In this work, the monitoring area of a chemical factory is divided into multiple rectangles with a uniform mesh. The RI value of each grid node is calculated on the basis of the occurrence probability and normalized concentrations of each leakage scenario. A high RI value indicates that a sensor at a grid node has a high chance of detecting gas concentrations in different leakage scenarios. This situation is beneficial for leakage monitoring and STE. The methods of similarity redundancy detection and the maximization of sensor RI detection are applied to determine the sequence of sensor locations. This study reveals that the RI detection of the optimal sensor layout with eight sensors exceeds that of the typical layout with 12 sensors. In addition, STE with the optimized placement sequence of the sensor layout is numerically simulated. The statistical results of each scenario with various numbers of sensors reveal that STE is affected by sensor number and scenarios(leakage locations and winds). In most scenarios, appropriate STE results can be retained under the optimal sensor layout even with four sensors. Eight or more sensors are advised to improve the performance of STE in all scenarios. Moreover, the reliability of the STE results in each scenario can be known in advance with a specific number of sensors. Such information thus provides a reference for emergency rescue.展开更多
基金the Scottish Funding Council,as part of the National Centre for Resilince.This research received no external funding.
文摘Heavy snow disruptions are common and costly occurrences in the UK,including Scotland.Yet,heavy snow remains an underresearched aspect of disaster risks in Scotland.This study critically examined the 2018 heavy snow event in Scotland referred to as the“Beast from the East”(BfE)in order to explore the different sources of information used by the public in preparation for and response to heavy snow emergencies.Our study also examined the effectiveness of BfE risk communication between authorities and the public and sought to determine if there is a relationship between risk information received and the intention to mitigate risk.Data were collected through a semistructured survey from(n=180)residents of the Annandale and Eskdale region of Dumfries and Galloway,Scotland.Our analysis shows that public authority information sources were the most sought-after information sources,followed by online and web sources.We found statistically significant differences between groups(such as age,gender,and mobility/disability)in terms of using risk information sources.Further analysis shows that the relationship between information received and the intention to mitigate risks is not linear but influenced by intervening variables such as work pressures,financial commitment,and stakeholders’expectations.We argue that where full adherence to official risk advice is required,policymakers should carefully consider issues around these three factors.
基金supported by the Ministry of Education,Culture,Sports,Science,and Technology of Japan(Monbukagakusho:MEXT Scholarship,2017-2019)。
文摘Effective risk communication is essential for disaster risk management.Apart from empowering communities to make informed risk choices,risk information disclosure can also drastically enhance their disaster preparedness,especially concerning conjoint scenarios of technological and natural hazards(Natech).A fundamental precondition is the actual demand for such information.This study ventures to assess whether residents around Osaka Bay have this demand,or"appetite,"for risk information disclosure,as well as to understand their communicative behavior and perceived challenges in the Japanese context through the prism of the Situational Theory of Problem Solving.To test this framework under realistic conditions,data were collected through a household questionnaire survey from two urban areas near industrial complexes in Osaka Bay.The results show that identifying Natech risk information deficiency as a problem was not a statistically significant predictor for individuals'motivation to communicate.However,their motivation increased as their perceived personal involvement with the situation rose,while the perceived obstacles in doing something about it exerted a negative influence on their motivation.Individuals'motivation intensified their communicative actions to solve this problem.Public segmentation underscored the elevated public perceptions concerning the issue of risk information deficiency in nearly nine out of ten respondents.These findings indicate a strong community appetite for chemical and Natech risk information,which subsequently led to high situational motivation to engage in communicative action,particularly information acquisition.Risk management policy is suggested to focus on introducing chemical risk information disclosure regulatory initiatives to encourage citizen engagement.
基金supported by National Natural Science Foundation of China (61988101)National Natural Science Fund for Distinguished Young Scholars (61725301)Fundamental Research Funds for the Central Universities。
文摘Nowadays, chemical safety has attracted considerable attention, and chemical gas leakage monitoring and source term estimation(STE) have become hot spots. However, few studies have focused on sensor layouts in scenarios with multiple potential leakage sources and wind conditions, and studies on the risk information(RI) detection and prioritization order of sensors have not been performed. In this work, the monitoring area of a chemical factory is divided into multiple rectangles with a uniform mesh. The RI value of each grid node is calculated on the basis of the occurrence probability and normalized concentrations of each leakage scenario. A high RI value indicates that a sensor at a grid node has a high chance of detecting gas concentrations in different leakage scenarios. This situation is beneficial for leakage monitoring and STE. The methods of similarity redundancy detection and the maximization of sensor RI detection are applied to determine the sequence of sensor locations. This study reveals that the RI detection of the optimal sensor layout with eight sensors exceeds that of the typical layout with 12 sensors. In addition, STE with the optimized placement sequence of the sensor layout is numerically simulated. The statistical results of each scenario with various numbers of sensors reveal that STE is affected by sensor number and scenarios(leakage locations and winds). In most scenarios, appropriate STE results can be retained under the optimal sensor layout even with four sensors. Eight or more sensors are advised to improve the performance of STE in all scenarios. Moreover, the reliability of the STE results in each scenario can be known in advance with a specific number of sensors. Such information thus provides a reference for emergency rescue.
