Perceived Air Pollution Research Articles

Transdisciplinary Research as a Means of Protecting Human Health, Ecosystems and Climate by Engaging People to Act on Air Pollution

Abstract Air pollution harms the health of humans, nature and wildlife, agricultural crops and livestock and climate. As a result, it hinders the attainment of Sustainable Development Goals 3 (Good Health and Wellbeing), 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities) and 13 (Climate Change). In order to improve human and (agro-)ecosystem health, One Health approaches for better air quality must account for local knowledge, cultural practices and priorities. People with lower socio-economic status often have limited awareness of air pollution yet are affected most through personal exposure and increased food prices. This case trialled a new, co-created transdisciplinary approach to air pollution awareness raising in the Mukuru community in Nairobi, Kenya. The pilot study used interviews, storytelling, participatory mapping, theatre, playful activities and music with the aim of discovering affected communities’ perceptions of air pollution, increasing understanding and empowering people to demand that policy makers develop and implement effective, inclusive air pollution abatement policies. Information © The Authors 2024

The impact of air pollution on employment location choice: Evidence from China's migrant population

Air pollution and labor mobility are two important social phenomena associated with China's pursuit of high-quality development. First, this paper matches China's urban characteristics data with China Migrants Dynamic Survey in 2017. Then, the conditional logit model is used to empirically investigate the effects and heterogeneity of air pollution on employment location choice. Finally, combined with the concept of risk perception in psychology, this paper explores the underlying mechanisms. The main results are as follows: (1) Air pollution has a significant negative effect on employment location choice of labor force. Specifically, a 1 μg/m3 increase in PM2.5 concentration in a city can result in a significant decrease of 0.917 percentage points in the probability that the labor force will choose to work in that city. (2) There are heterogeneous characteristics of the negative impact of air pollution on employment location choice. Those with higher education level, outdoor work, relatively higher individual income, and 1–2 minor children are more sensitive to air pollution when choosing employment sites. (3) The mechanism analysis shows that perceived air pollution is an important channel influencing labor's employment location choice, and the stronger the stimulus of air pollution, the greater the negative impact of perceived air pollution on labor force.

Public perceptions of air pollution and its impacts on fertility desire: a nationwide study in China.

Over the past few years, there has been a significant focus on air pollution due to its various detrimental effects on human health. However, its influence on people's tendency to have children remains uncertain, as only a few studies have examined the correlation between public perception of air pollution and the desire to start a family. This article introduces a theoretical framework utilizing a two-stage interval iteration model to explore the connection between children's relative utility and the perception of air pollution. Data for this study were gathered from the "Chinese General Social Survey" (CGSS 2013). The CGSS 2013 project employed a four-stage stratified random sampling technique and conducted household interviews using questionnaires. The sample covered 28 provincial-level cities across China. The hypothesis was tested using a Probit regression model. The findings indicate that individuals considering air pollution a significant issue are 8.62% less likely to have more than one child. The variation in fertility desire sensitivity to air pollution points to heterogeneity among residents, such as registered residents and those living in various residential areas, as well as individuals with different characteristics like education levels. The study concludes that air quality significantly influences human fertility desire, highlighting the urgent necessity to raise awareness of environmental protection issues among both the public and authorities. In particular, there are two key steps to address this issue. Firstly, the government should establish clear air pollution control objectives and refine policies to enhance governance efficiency. Secondly, there is a need to encourage environmentally friendly behaviours among the public, promote more significant involvement in public environmental matters, and ensure effective oversight of the government's responsibilities in managing air pollution.

The interplay between air pollution, built environment, and physical activity: Perceptions of children and youth in rural and urban India

The role of physical inactivity as a contributor to non-communicable disease risk in children and youth is widely recognized. Air pollution and the built environment can limit participation in physical activity and exacerbate non-communicable disease risk; however, the relationships between perceptions of air pollution, built environment, and health behaviours are not fully understood, particularly among children and youth in low and middle-income countries. Currently, there are no studies capturing how child and youth perceptions of air pollution and built environment are associated with physical activity in India, thus, this study investigated the association between perceived air pollution and built environment on moderate-to-vigorous physical activity (MVPA) levels of Indian children and youth. Online surveys captured MVPA, perception of air pollution as a problem, built environment factors, as well as relevant sociodemographic characteristics from parents and children aged 5–17 years in partnership with 41 schools across 28 urban and rural locations during the Coronavirus disease lockdowns in 2021. After adjusting for age, gender, and location, a significant association was found between the perception of air pollution as a problem and MVPA levels (β = −18.365, p < 0.001). Similarly, the perception of a high crime rate was associated with lower MVPA levels (β = −23.383, p = 0.002). Reporting the presence of zebra crossings, pedestrian signals, or attractive natural sightings were associated with higher MVPA levels; however, this association varied across sociodemographic groups. These findings emphasize the importance of addressing air pollution and improving the built environment to facilitate outdoor active living, including active transportation, among children and youth – solutions that are particularly relevant not only for preventing non-communicable disease risk but also for climate change mitigation.

Perceived air pollution reduces consumers' self‐disclosure: The role of tense arousal

AbstractConsumers are often reluctant to disclose their personal information to retailers. How to promote consumers' self‐disclosure has been a focal point of interest for marketers and researchers. Using a total of eight multimethod studies (N = 5281) which composite a study with secondary data, a field study, a natural experiment, and five lab experiments, we show that a perception of high (vs. low) levels of air pollution decreases consumers' self‐disclosure willingness and behavior. This effect is mediated by tense arousal and moderated by (1) whether consumers are aware of the impact of perceived air pollution levels on tense arousal and (2) under which environment consumers disclose their personal information (an environment playing low‐paced soothing background music vs. a one playing high‐paced rock background music). We also rule out regulatory focus and mood valence as alternative process variables. Our findings extend past literature on perceived air pollution, tense arousal, and self‐disclosure. The results also suggest marketers, retailers, and service providers mitigate the negative impact of air pollution perception on consumers' self‐disclosure by playing low‐paced soothing background music in retailing contexts.

Exploring the Association between Air Pollution and Active School Transportation: Perceptions of Children and Youth in India

Active school transportation (AST), including walking or cycling, is a common practice across India contributing to physical activity accumulation among children and youth. Despite the proven health benefits of AST, rising air pollution levels may offset these benefits and discourage AST. With climate change and severe heat waves exacerbating poor air quality, this study aimed to examine the association between perceptions of air pollution as a problem and AST among children and youth in India. No previous studies have assessed AST determinants from a child or youth perspective in India; thus, this cross-sectional, observational study surveyed 1042 children and youth from 41 urban and rural schools. Logistic regression models were conducted and stratified by age group, gender, and urban vs. rural location. Children and youth who perceived air pollution to be a problem were less likely to engage in AST (OR = 0.617, 95% CI = 0.412, 0.923, p &lt; 0.001), with AST varying based on age, gender, and location. The perception of air pollution as a problem was associated with a lower likelihood of engaging in AST in the 5- to 12-year age group (OR = 0.366, 95% CI = 0.187, 0.711, p = 0.003) but not in the 13- to 17-year age group. Similarly, males (OR = 0.528, 95% CI = 0.306, 0.908, p = 0.021) and rural residents (OR = 0.569, 95% CI = 0.338, 0.956, p = 0.033) who perceived air pollution as a problem were less likely to engage in AST; however, this association was not found in females or urban residents. These findings highlight the importance of child and youth perceptions of the environment in not only informing public health advisories for air quality and safe outdoor activity, but also for designing targeted interventions considering sociodemographic differences in AST among children and youth in India.

Does the air pollution level information matter in public perception? Insights from China

Evidence from the past has previously established that the air information disclosure program has an impact on people's air pollution perception. However, the influence of the concrete information communicated has always been overlooked. In this study, we examine the impact of the announced air pollution level information on public pollution perception. We collect air-related Weibo posts from June 1, 2019, to May 31, 2021, in China, and apply a regression discontinuity (RD) design to quantify the impact. According to our research, when a higher pollution level is announced, people's pollution perception expressed online rises by 3.5%–3.7%, which is approximately equivalent to the response to a more than 100 Air Quality Index (AQI) increase. The episode-based analyses reveal that the impact of pollution level information would fade away along with the persistence or the frequency of the announced pollution episode, which shows a phenomenon of information fatigue. The heterogeneity analyses reveal that the impact of pollution level is significant only when the original pollution level is “Good” or “Lightly Polluted”, leading to an increase of pollution perception by 2.8% and 4.8%, respectively. We also find that men, highly-educated, and urban residents are more responsive to the pollution level information. Our study illustrates a detailed picture of how people's perception responds to the announced pollution level information under the AQI standards, and can provide guidance for policymakers when developing the AQI standards to maximize the welfare of the air information.

Unmasking air quality: A novel image-based approach to align public perception with pollution levels

In the quest to reconcile public perception of air pollution with scientific measurements, our study introduced a pioneering method involving a gradient boost-regression tree model integrating PM2.5 concentration, visibility, and image-based data. Traditional stationary monitoring often falls short of accurately capturing public air quality perceptions, prompting the need for alternative strategies. Leveraging an extensive dataset of over 20,000 public visibility perception evaluations and over 8,000 stationary images, our models effectively quantify diverse air quality perceptions. The predictive prowess of our models was validated by strong performance metrics for perceived visibility (R = 0.98, RMSE = 0.19), all-day PM2.5 concentrations (R: 0.77–0.78, RMSE: 8.31–9.40), and Central Weather Bureau visibility records (R = 0.82, RMSE = 9.00). Interestingly, image contrast and light intensity hold greater importance than scenery clarity in the visibility perception model. However, clarity is prioritized in PM2.5 and Central Weather Bureau models. Our research also unveiled spatial limitations in stationary monitoring and outlined the variations in predictive image features between near and far stations. Crucially, all models benefit from the characterization of atmospheric light sources through defogging techniques. The image-based insights highlight the disparity between public perception of air pollution and current policy implementation. In other words, policymakers should shift from solely emphasizing the reduction of PM2.5 levels to also incorporating the public's perception of visibility into their strategies. Our findings have broad implications for air quality evaluation, image mining in specific areas, and formulating air quality management strategies that account for public perception.

Irish population knowledge, attitudes, and perception of air pollution

Abstract Aim Air pollution remains a major global public health challenge; and Ireland is no exception to the human health implications of exposure ambient air pollutants. Accurate and timely information can be critical to mitigate the harmful effects of air pollution. This study aimed to assess the knowledge, perceptions, and attitudes to poor air quality in Ireland to assist stakeholders in developing and implementing effective communication pieces and policies about the management of air pollution. Study design Cross-sectional population-based cohort. Methods Quantitative data on knowledge, attitudes, and perceptions (KAP) were collected from respondents living across Ireland, and the results were analysed with SPSS (Version 28.0). Results Among the 1,005 respondents included in this study, the mean [SD] age was 46.1 [15.3] years; 53% were female (n = 530); and 66% and 35% of respondents were aware of air pollution and its adverse effects on health at a national and local level respectively (n = 668 and n = 353 respectively). In addition, there were significant relationships between socio-demographic and air pollution awareness. There were correlation between respondent's age, gender, socio-economic group, and locality in Ireland. Conclusions This study demonstrates that environmental health literacy around air pollution in critically lacking among respondents. Given that air pollution is an increasingly important global priority, opportunities need to created to improve reach and impact of communication of air quality health risk and mitigation measures. Key messages • Most respondents acknowledge that air pollution is a national problem. • Females were more aware of air pollution among the respondents.

Air pollution perception bias: Mismatch between air pollution exposure and perception of air quality in real-time contexts

Air pollution perception biases hinder the public's awareness of actual air quality. Past studies that examined the association and mismatch between actual and perceived air quality neglected individuals’ dynamic exposure and their activity, travel, spatial, temporal, and social contexts. Using data collected with real-time air pollutant sensors and ecological momentary assessment (EMA), this study investigated the association and mismatch between momentary air pollution exposure and perceived air quality. It also examined how activity type, travel mode, spatial and temporal contexts, and social factors contribute to this disparity. The results show that exposure to air pollution is significantly higher in residential areas (1.777 μg/m3) and transportation land-use areas (2.863 μg/m3) compared to commercial areas. Exposure in the evening is 1.308 μg/m3 higher than in the afternoon. Working or studying activities are associated with 2.863 μg/m3 lower exposure, and individuals perceive air quality as good when working or studying and in residential areas. Conversely, individuals assess air quality as poor in railway travel contexts and being accompanied by friends. This study also reveals the nonstationary association between air pollution exposure and perceived air quality. The odds of underestimating air pollution are 1.8–2.7 times as high as that in residential areas and 2.1 to 2.6 times that in transportation land-use areas when compared to commercial areas. Implementing targeted mitigation measures in these contexts can enhance public awareness of air pollution.

Pediatrician’s Perception of Air Pollution and its Impact on Children’s Health in Indonesia

Introduction: Air pollution is an unseen threat to children's health as it increases the risk of respiratory infection by impairing immune responses to the respiratory tract. Nevertheless, health promotion emphasizing the impact of air pollution is not popular, even among health professionals. Therefore, this study aimed to explore the perceptions of paediatricians regarding its impact on children’s health in Indonesia. Materials and Methods: A cross-sectional design using an online questionnaire was employed in this study. It was composed of 30 items and divided into 4 sections, i.e. section 1 explored the demographic variables, section 2 measured the respondent’s information-seeking behavior on the issue of air pollution, section 3 measured the perception of issues related to air pollution and its impact on children’s health, and section 4 explored the respondent’s experience in practicing environmental health education with respect to their patients. Only completed surveys were analysed. Results: Of the 171 pediatricians who were accessed for the survey, 120 (70.2%) completed it. The majority of respondents (69%) resided in Java island and worked in urban areas (84%). About 41.7% of the respondents had little to no information on the impact of air pollution on children’s health. More than 80% of the respondents received information from scientific articles, followed by seminars (61.5%), the internet (53.8%), colleagues (30.7%), and workshops/training (17.3%). Nearly one-third of the respondents considered air quality as poor in their working environment. Almost all agreed that air pollution can affect children’s health and increase the risk of respiratory allergies and even the risk of skin allergies for children under two years of age. In daily practice, most respondents (53.3%) admitted that they never or rarely treated patients with diseases related to air pollution. About one-third of the respondents (36.7%) had never or rarely asked their patients about their living environment. Conclusion: Pediatricians are aware of the impact of air pollution on the risk of respiratory allergies and infection, and therefore often provide environmental health education to patients. This study has reported that the majority of pediatricians in Indonesia have an understanding of the impact of air pollution on children’s health; however, there is still a lack of health promotion to be communicated to the patients and their families in their daily practice.

Public acceptance of congestion pricing policies in Beijing: The roles of neighborhood built environment and air pollution perception

While public acceptance is a major obstacle to policy implementation, the factors affecting the acceptance of anti-congestion policies such as congestion pricing remain unclear. Few studies investigate whether public acceptance varies across neighborhoods of variant built environment features and with perceived air pollution levels which people are exposed to. In this article we developed a generalized multilevel structural equation model (GMSEM) with latent class variables to investigate the direct effects and mediation effects among built environment, air pollution perception, satisfaction with existing driving restriction policies, and public acceptance of congestion pricing strategies. We draw on a questionnaire survey of about 1300 residents from 26 neighborhoods in Beijing, where driving restriction policies have been implemented and congestion pricing policies under consideration. This research reveals that residents living in neighborhoods with high population density and low diversity of land uses and those proximity to transit service and in the central urban areas tend to more strongly support the congestion pricing policy. Residents who perceive serious air pollution and who believe in the policy effectiveness are more supportive to the pricing policy; they may pay more attention to the level of air pollution caused by congestion caused by driving. These findings demonstrate the importance of recognizing neighborhood variations in policy acceptance and provide policy implications for incorporating appropriate land use planning and promotion strategies.

Perception Matters: Perceived vs. Objective Air Quality Measures and Asthma Diagnosis among Urban Adults.

Urban air pollution is consistently linked to poorer respiratory health, particularly in communities of lower socioeconomic position (SEP), disproportionately located near highways and industrial areas and often with elevated exposures to chronic psychosocial stressors. Fewer studies, however, have considered air pollution itself as a psychosocial stressor and whether pollution may be impacting health through both direct physiologic and psychosocial pathways. We examined data on perceived air pollution exposures from a spatially representative survey of New York City adults through summer and winter 2012 (n = 1183) using residence-specific ambient nitrogen dioxide (NO2) and fine particulate matter (PM2.5) exposure estimates. We used logistic regression to compare associations for perceived and objective air quality on self-reported asthma and general health, adjusting for sociodemographics and mental health. In models including all exposure metrics, we found small but significant associations for perceived air quality (OR = 1.12, 95% CI: 1.04-1.22) but not for NO2 or PM2.5. Neither perceived nor objective pollution was significantly associated with self-reported general health. Results suggest that perceived air quality may be significantly associated with adult asthma, more so than objective air pollution and after adjusting for mental health-associations not observed for self-reported general health.

Attuning to ambiguous atmospheres: Currents of air, discourse and time in a steel town

AbstractHow atmospheric pollution is perceived by urban dwellers has long been a topic of interest within geography and the social sciences, whether to draw attention to environmental injustices, to better understand the materialities and affects associated with polluted air, or to grasp how people ‘tune in’ to polluted matter. In this paper, we draw on three interrelated geographical and social science literatures on polluted air to inform our exploration of how residents of an industrial town in the UK encounter and perceive localised ambient air pollution. Using creative methods, we explore residents' narrative accounts of everyday life in the town, revealing how their engagements with the matter of pollution over time are drawn from multiple registers, giving rise to a plurality of perceptions filled with tensions between near and far, and between past, present and future, producing an ambiguous atmosphere all of its own. The paper contributes to geographic explorations of urban atmospheres an understanding of how they are differently experienced and known, and how residential perceptions might persist or change over different timescales.

Understanding Social Inequality in Individual Perceived Exposures to Air Pollution in Residential and Visited Neighborhoods: A Study Using Association Rule Mining

Using individual-level data collected from two communities in Hong Kong, this study proposes a significant association rule mining method to identify the complex associations between individual socioeconomic characteristics and perceived air pollution in people’s daily life. It defines a measure, namely the rule inequality index, to assess the social inequality in perceived exposure to air pollution in both residential and visited neighborhoods. The results indicate that the associations between individual socioeconomic characteristics and perceived air pollution are not always consistent over communities, nor are the value ranges of perceived air pollution. Further, the tendency of different social groups to perceive high levels of air pollution can differ considerably depending on whether they are in their residential or visited neighborhoods. We also find that social groups based on different socioeconomic variables typically experience varying degrees of neighborhood effects on the associated social equalities. Our findings emphasize the importance of considering nonstationary associations and human mobility in research on social inequality related to mobility-dependent environmental exposure.

Air Quality, Pollution Perception, and Residents' Health: Evidence from China.

Environmental and resident health issues associated with air pollution are an area of growing concern for both policy officials and the general public. In recent years, China has been accelerating the construction of a Beautiful China and a Healthy China, with the aim of protecting and improving the environment and ensuring public health. In this study, we aimed to explore the impact of air quality and air pollution perception on residents' health. This study used the 2017 Chinese General Social Survey data to measure self-rated health, mental health, and air pollution perception. Using matched socioeconomic indicators and air pollution data, we analyzed the relationship between subjective perception of air pollution, objective air pollution data, and residents' health. The results showed the following: (1) Air pollution perception has a significant negative impact on self-rated health and mental health. Thus, it needs more consideration to reduce environmental health risks. (2) Objective air pollution has a significant negative impact on mental health. At the same time, its effect on self-rated health was insignificant. These results provide empirical evidence supporting the Chinese government's decision to invest more in combating air pollution and ensuring the health of Chinese residents.

Knowledge, attitudes, and perception of air pollution in Ireland

AimAir pollution remains a major global public health challenge; and Ireland is no exception to the human health implications of exposure ambient air pollutants. Accurate and timely information can be critical to mitigate the harmful effects of air pollution. This study aimed to assess the knowledge, perceptions, and attitudes to poor air quality in Ireland to assist stakeholders in developing and implementing effective communication pieces and policies about the management of air pollution. Study designCross-sectional population-based cohort. MethodQuantitative data on knowledge, attitudes, and perceptions (KAP) were collected from respondents living across Ireland, and the results were analysed with SPSS (Version 28.0). ResultsAmong the 1005 respondents included in this study, the mean [SD] age was 46.1 [15.3] years; 53% were female (n = 530); and 66% and 35% of respondents were aware of air pollution and its adverse effects on health at a national and local level respectively (n = 668 and n = 353 respectively). In addition, there were significant relationships between socio-demographic and air pollution awareness. There were correlation between respondent’s age, gender, socio-economic group, and locality in Ireland. ConclusionThis study demonstrates that environmental health literacy around air pollution in critically lacking among respondents. Given that air pollution is an increasingly important global priority, opportunities need to create to improve reach and impact of communication of air quality health risk and mitigation measures.

Public risk perception of air pollution in the general population of Italy and Sweden during the COVID-19 pandemic: Environmental and socio-demographic drivers

Air pollution is an important anthropogenic hazard due to its effect on human health and the environment. Understanding how the population perceives the risk associated with air pollution is a crucial aspect to inform future policies and communication strategies. The aim of this study is to examine the association between air pollution concentrations and public risk perception of air pollution, also exploring socio-demographic patterns in the general population of Italy and Sweden. To this end, we derived 3-year PM10 average concentrations from ground monitoring stations and integrated with a population-based survey carried out in August 2021 in both countries. Relative perceived likelihood and impact on the individual were considered as domains of risk perception. In addition this, information on direct experience and socio-demographic factors were included as possible determinants of risk perception. Linear regression models were performed to examine the association of PM10 average concentrations at regional level and individual level factors with risk perception domains. In both countries, respondents who live in the most densely populated regions report a higher perceived likelihood of air pollution. Direct experience is the main driver of risk perception in both countries. Being male and smokers in Italy, older age and having left/centre-left political orientation in both countries are associated with a higher perceived likelihood and impact of air pollution. These findings will inform future health and environmental studies regarding the public risk perception of air pollution highlighting individual's awareness and the socio-demographic patterns.

Investigation into the Rationale of Migration Intention Due to Air Pollution Integrating the Homo Oeconomicus Traits

Air pollution is a considerable environmental stressor for urban residents in developing countries. Perceived health risks of air pollution might induce migration intention among inhabitants. The current study employed the Bayesian Mindsponge Framework (BMF) to investigate the rationale behind the domestic and international migration intentions among 475 inhabitants in Hanoi, Vietnam—one of the most polluted capital cities worldwide. We found that people perceiving more negative impacts of air pollution in their daily life are more likely to have migration intentions. The effect of perceived air pollution impact on international migration intention is stronger than that of domestic migration. Acknowledging a family member’s air pollution-induced sickness moderated the association between perceived air pollution impact and domestic migration intention, while the personal experience of air pollution-induced sickness did not. In contrast, the moderation effect of personal experience of sickness became significant in the international migration circumstance, but the effect of information about a family member’s sickness was negligible. The findings suggest that urban inhabitants’ consideration of air pollution-averting strategies reflects some characteristics of Homo Oeconomicus. Although an individual’s socioeconomic decision may seem insignificant on a collective scale, through environmental stressors as catalysts, such decisions might result in considerable social tendencies (e.g., internal migration and emigration).

Public perceptions of air pollution and associated health risks in Nevada, USA: applications for health communication

ABSTRACT Background We examine the extent to which acute and chronic health conditions motivate individuals to seek air quality information. We apply the theoretical elements of the Health Belief Model (HBM) to improve risk communication about ambient air pollution. We discuss the practical applications of HBM, in tandem with the principles of health communication, within an environmental health context. Methods We test the predictive power of selected components related to the HBM (perceived susceptibility, perceived severity, and cues to action) for intentions to seek information about ambient air quality. We surveyed 325 individuals throughout Nevada where poor air quality poses a risk for vulnerable populations. Results Ordinal logistic regression analyses showed that experiencing mucous membrane symptoms (eye itching, nose irritation, and dry throat/cough), perceived severity to future health threats, and having an at-risk member in the household positively and significantly predicted intentions to seek air quality information. Experiencing neuropsychological symptoms (fatigue, feeling heavy-headed, and nausea/dizziness), and having a cardiovascular or a respiratory condition did not have significant effects on reported intentions. Conclusions We discuss how the results of this study can be integrated into health communication practices to increase public engagement with air quality information as a personal intervention measure.