scholarly journals A Cluster Analysis on the Risk of Particulate Matter: Focusing on Differences of Risk Perceptions and Risk-Related Behaviors based on Public Segmentation

2016 ◽  
Vol 20 (3) ◽  
pp. 201-235 ◽  
Author(s):  
YUNGWOOKKIM ◽  
Youjin Jang ◽  
Hyejin Lee ◽  
Hyunseung Lee
Author(s):  
Mohammad Azimi ◽  
Yasin Mansouri ◽  
Hamideh Mihanpour ◽  
Vida Rezai Hachasu ◽  
Morteza Mohammad Zadeh ◽  
...  

Background: Particulate matter air pollution is one of the most important risk factors for cardiovascular and respiratory diseases. By increasing the number of mineral industries in the two past decades, workers in these industries are exposed to pathogenic respirable particulate matter pollutants. Cluster analysis is a multivariate statistical analysis method. Clustering creates groups or classes that the difference between the sub-groups samples is less than the difference between the groups. Therefore, this study assigns the cluster analysis to air sampling data collected from the various units of a tile factory. Methods: In this observational study, sampling from the respiratory zone of 93 workers in a tile and ceramic factory for both respirable and inhalable particles were performed. Sampling of inhalable particle based on NIOSH_0500 protocol and respirable particles based on NIOSH_0600 was conducted. Data were analyzed by both R 3.2.2 software and hierarchical cluster analysis with Ward link. Results: 92.47% of Workers were exposed to respirable particles less than TLV and 39.8% of them were exposed to inhalable particles more than TLV. The maximum average exposure for respirable particles 13.04 mg/m3 and inhalable particles 84.88 mg/m3 is respectively reported for crusher unit. The lowest average exposures to respirable (0.41 mg/m3) and inhalable (min=1.74 mg/m3) particles were observed in the glaze line division. Conclusion: Since the workers are exposed to concentrations more than the threshold limit value of respirable particles, and especially inhalable particles in some units, appropriate control measures must be considered to prevent possible consequences


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raquel Camprubí ◽  
Joan B. Garau-Vadell

Purpose Peer-to-peer (P2P) vacation accommodation has recently emerged as a disruptive new form of tourism development. Its potential negative impacts (economic, socio-cultural and environmental) may make residents feel at risk. Therefore, this paper aims to explore residents’ risk perceptions related to the growth of P2P vacation accommodation. Design/methodology/approach The empirical study was conducted in Mallorca (Spain) among 529 residents and a cluster analysis was carried out. Findings Results indicate clearly differentiated sociodemographic and attitudinal profiles, which can be classified into four tourist types. The conclusions of the paper suggest implications for tourist managers. Originality/value In the field of tourism studies, risk perception has been explored from the perspective of both tourists and hosts. To date, however, residents’ perception of risk has received little attention. Given the importance of resident-tourist interaction in fostering successful destinations this paper focusing on this arena.


Author(s):  
Yusuf Aina ◽  
Elhadi Adam ◽  
Fethi Ahmed

The study of the concentrations and effects of fine particulate matter in urban areas have been of great interest to researchers in recent times. This is due to the acknowledgment of the far-reaching impacts of fine particulate matter on public health. Remote sensing data have been used to monitor the trend of concentrations of particulate matter by deriving aerosol optical depth (AOD) from satellite images. The Center for International Earth Science Information Network (CIESIN) has released the second version of its global PM2.5 data with improvement in spatial resolution. This paper revisits the study of spatial and temporal variations in particulate matter in Saudi Arabia by exploring the cluster analysis of the new data. Cluster analysis of the PM2.5 values of Saudi cities is performed by using Anselin local Moran’s I statistic. Also, the analysis is carried out at the regional level by using self-organizing map (SOM). The results show an increasing trend in the concentrations of particulate matter in Saudi Arabia, especially in some selected urban areas. The eastern and south-western parts of the Kingdom have significantly clustering high values. Some of the PM2.5 values have passed the threshold indicated by the World Health Organization (WHO) standard and targets posing health risks to Saudi urban population.


2018 ◽  
Vol 236 ◽  
pp. 591-597 ◽  
Author(s):  
Hsiao-Chi Chuang ◽  
Ruei-Hao Shie ◽  
Chia-Pin Chio ◽  
Tzu-Hsuen Yuan ◽  
Jui-Huan Lee ◽  
...  

Author(s):  
Bomi Kim ◽  
Eun Joo Yoon ◽  
Songyi Kim ◽  
Dong Kun Lee

In recent years, the Korean public has become aware of the form of air pollution known as particulate matter, with a consequent growth of public anxiety causing a negative risk perception about outdoor activity. This study aims at determining the causal relationship between risk perceptions about particulate matter and outdoor activity satisfaction in South Korea. An Internet survey was conducted with 412 people, and a structural equation model was used to perform confirmatory factor analysis. The statistically significant results show that the perceived risk of particulate matter is higher when people do not show interest in or trust public opinion or policy on the subject. This increases people’s perceptions of health risks, which in turn lowers their satisfaction with outdoor activity. Although trust levels in public opinion or policy had a positive impact on outdoor activity satisfaction, this was not statistically significant. These results are expected to contribute to risk communication guidelines in public opinion reporting and to the direction of environmental health policies in developing countries with high levels of air pollution, such as particulate matter.


Sign in / Sign up

Export Citation Format

Share Document