scholarly journals THE PREDICTIVE EFFECTS OF PROTECTION MOTIVATION THEORY ON ADAPTIVE BEHAVIOUR TOWARDS URBAN AIR QUALITY

2019 ◽  
Vol 5 (1) ◽  
pp. 69-74
Author(s):  
Syazwani Sahrir

In urban areas, the rigid division of residential, commercial, employment and recreational areas forms a reliance on road transport, which leads to high levels of emission that gradually affects the quality of the urban environment. We establish the Protection Motivation Theory (PMT) as a framework for explaining adaptive behavioural responses among urban communities in Malaysia. Participants (N = 450) answered to face-to-face questionnaire survey, and the results specify establishment for the proposed model, with perceived vulnerability (H1) (ß = 0.246, t = 4.534, P=0.000) and and self-efficacy (H3) (ß = 0.510, t = 9.653, P=0.000) positively predicting adaptive behaviour on  urban air pollution. The results presented that these structures were able to predict 47% of the variance of adaptive behaviour. The study establishes a significant contribution to the literature by contributing an indication of PMT as an ideal framework for adaptive behavioural responses on urban air pollution.

2017 ◽  
Vol 68 (4) ◽  
pp. 858-863
Author(s):  
Mihaela Oprea ◽  
Marius Olteanu ◽  
Radu Teodor Ianache

Fine particulate matter with a diameter less than 2.5 �m (i.e. PM2.5) is an air pollutant of special concern for urban areas due to its potential significant negative effects on human health, especially on children and elderly people. In order to reduce these effects, new tools based on PM2.5 monitoring infrastructures tailored to specific urban regions are needed by the local and regional environmental management systems for the provision of an expert support to decision makers in air quality planning for cities and also, to inform in real time the vulnerable population when PM2.5 related air pollution episodes occur. The paper focuses on urban air pollution early warning based on PM2.5 prediction. It describes the methodology used, the prediction approach, and the experimental system developed under the ROKIDAIR project for the analysis of PM2.5 air pollution level, health impact assessment and early warning of sensitive people in the Ploiesti city. The PM2.5 concentration evolution prediction is correlated with PM2.5 air pollution and health effects analysis, and the final result is processed by the ROKIDAIR Early Warning System (EWS) and sent as a message to the affected population via email or SMS. ROKIDAIR EWS is included in the ROKIDAIR decision support system.


Author(s):  
Vaida Šerevičienė ◽  
Vaida Vasiliauskienė ◽  
Dainius Paliulis ◽  
Jurgita Aleknaitė

With the number of vehicles increasing, the analysis of urban air pollution becomes expedient. This article deals with the integrated evaluation of road transport realised pollutant impact on the urban air. During research, it was carried out complex measurements of the air quality involving passive diffusive sampling for nitrogen dioxide, active measurement for particle matters, lichen sampling for heavy metals and visual assessment of trees defoliation. Obtained results showed the statistically reliable (p < 0.05) strong correlation (r = 0.83) between the number of passing vehicles and the concentration of particulate matter and there is even stronger correlation (r = 0.94; p < 0.05) between the concentration of nitrogen dioxide and the number of passing vehicles. It was observed during the analysis, that in measuring sites in which was determined 30% more intense defoliation process, also determined a higher NO2 (>10μg/m3) and lead (~10 mg/kg) concentrations. It can be argued that the source of mentioned pollutants is the same – motor transport, and their presence in the environment influences defoliation phenomenon.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ai Na Seow ◽  
Chee Keong Choong ◽  
I-Chi Chen ◽  
Yuen Onn Choong

PurposeMedical tourism has grown to become a formidable multinational industry to generate revenue. This phenomenon has also increased impact on the healthcare sector as well as strategies development opportunities. The present study emphases on the international tourists' behavioural intention for medical tourism in Malaysia. A research framework is derived from the exceptional component of fear appeal in protection motivation theory (PMT).Design/methodology/approachData were collected with a sample of 501 respondents and analysed via structural equation modelling approach. Both measurement model and structural model were assessed to generate the result.FindingsThe outcomes have shown a good backing on the use of adapted PMT theoretical model. There is a higher predictive power on health coping than health threats. Coping alternatives can be served as the linkage between the PMT appraisals and behavioural intention.Research limitations/implicationsThe study confirmed the effectiveness of using a theoretical framework in predicting international tourists' behavioural intention for medical tourism. It is suggesting that risk adaptive behaviour does offer a valuable proposition in contributing to the reception of medical tourism.Practical implicationsThe present study argues the need for greater clarity in understanding the emergent implications for health policy and healthcare delivery for future medical tourism development.Originality/valueThe fundamental theories and current literature do not incorporate the component of fear appeal in explaining decision making. The study findings demonstrate that protection motivation theory has provide another promising theoretical model in explaining international tourists' behaviour intention for medical tourism.


2018 ◽  
Vol 3 (11) ◽  
pp. 181 ◽  
Author(s):  
Nur Sinem Ozcan ◽  
K. Mert Cubukcu

The air pollution problem remains, although significant improvements have been seen in urban air quality over the last years. This study aims to show that the spatial statistic techniques can well be used to examine and explain the air pollution levels in urban areas. The data for SO2 and NO2 concentrations are measures using passive diffusion tubes at the 67 monitoring sites in the district of Çiğli (Izmir). The tubes were exposed for a 2-week period in August 2015. For the determination of the level of clustering for high values and low values of pollutants, Getis-Ord G* local statistics are calculated. There are five points with high values of SO2 surrounded by low values, three points of NO2, where the results are statistically significant at the 0.10 level. The presence of the industrial zone, the form of fossil fuels used in heating, and topography are strong determinants urban air pollution.Keywords: Urban air pollution, planning decisions, spatial autocorrelation, air pollutants eISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. https://doi.org/10.21834/ajqol.v3i11.134


2016 ◽  
Vol 1 (2) ◽  
pp. 178 ◽  
Author(s):  
Nur Sinem Ozcan ◽  
K. Mert Cubukcu

The air pollution problem remains, although significant improvements have been seen in urban air quality over the last years. Despite the size and variety of studies on urban air pollution, the usage of spatial statistics has been extremely limited. This study aims to show that the spatial statistic techniques can well be used to examine and explain the air pollution levels in urban areas. The data for the sulphur dioxide (SO2) and nitrogen dioxide (NO2) concentrations are measures using passive diffusion tubes at the 67 monitoring sites in the district of Çiğli (Izmir), which are selected through a spatial systematic sampling process. The tubes were exposed for a 2-week period in August 2015. For the determination of the level of clustering for high values and low values of SO2 and NO2 concentrations, Getis-Ord G* local statistics are calculated. There are five points with high values of SO2 surrounded by low values, three points of NO2, where the results are statistically significant at the 0.10 level. The findings indicate that the presence of the industrial zone, the form of fossil fuels (coal or natural gas) used in heating, and topography are the strong determinants urban air pollution.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.Keywords: Urban air pollution; planning decisions; spatial autocorrelation; air pollutants


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ivana Kursan Milaković ◽  
Dario Miocevic

PurposeBy drawing on protection motivation theory, this study explores consumers' motivation to engage in adaptive behaviour envisioned through a transition from offline to online clothing purchasing during the COVID-19 pandemic. Additionally, this paper explores the conditioning effects of consumer resilience and satisfaction with retailers' assistive intent through the consumer well-being framework.Design/methodology/approachA total of 363 useable surveys were obtained from Croatian consumers. Data were analysed with confirmatory factor analysis and structural equation modelling.FindingsCoping appraisal positively impacts adaptive behaviour by increasing online clothing purchase intention, while threat appraisal has no direct effect on adaptive behaviour. The relationship between threat appraisal and adaptive behaviour is negatively moderated by consumer resilience and satisfaction with the retailer's assistive intent.Research limitations/implicationsLimitations include the convenience sampling method and data collection at one point as well as the focus on consumers from one country.Practical implicationsThis study provides a blueprint for designing marketing actions that retail managers should consider to respond to a crisis effectively while maintaining satisfactory buying experiences during health crises and other challenging events.Originality/valueGiven the unique research context, i.e. the COVID-19 pandemic, this study is one of the few and the first in Croatia to unfold the importance of protection motivation theory in providing a greater understanding of consumer's adaptive behaviour (transition from offline to online) in online clothing retail channels during the period of the global health-related crisis. Benefits from understanding consumers' coping and threat appraisal mechanisms while addressing their buying needs in adverse circumstances are revealed. In addition, the theoretical implications regarding the conditional effects of consumer resilience and consumer satisfaction with retailers' assistive intent during a pandemic are also provided.


2021 ◽  
Vol Special Issue (1) ◽  
pp. 01-16
Author(s):  
Jaspreet Kaur ◽  
Charu Jhamaria

Rapid and unplanned industrialization and urbanization have led to an increase in air pollutants in the urban areas are not new phenomena. Findings of several pieces of research have shown that at every stage of life beginning from the effect on developing embryo till an older age. A strong relationship has been reported between urban air pollutants with a wide variety of diseases like respiratory diseases, cardiovascular diseases, adverse effects on the nervous system, endocrine system, prevalence of diseases like diabetes, premature births, etc. Highly susceptible groups are the children and elderly, making this problem a serious concern worldwide. Inhalation of an increasing amount of particulate matter with a variety of toxic chemicals adhered to its surface and gaseous pollutants emitted from various sources initiate complex chemical reactions in the body giving rise to several diseases. The particles move through the upper respiratory tract showing its effect in the form of pulmonary inflammation, chronic obstructive pulmonary disease (COPD), moving further affects the heart rate variability (HRV), Ischemic heart disease, crosses the Blood-brain barrier (BBB) leading to mental and behavior disorder as well as insulin resistance leading to diabetes. The health impacts of poor air quality are serious which require urgent attention. This comprehensive review article aims to provide comprehensive information that can be useful for environmentalists, researchers, engineers, and policymakers for incorporating the data for implementing robust action to combat the problem of increasing urban air pollution.


2020 ◽  
Author(s):  
Alexander Baklanov ◽  

<p>This presentation is analysing a modern evolution in research and development from specific urban air quality systems to multi-hazard and integrated urban weather, environment and climate systems and services and provides an overview of joint results of large EU FP FUMAPEX, MEGAPOLI, EuMetChem and MarcoPolo projects and international WMO GURME and IUS teams. </p><p>Urban air pollution is still one of the key environmental issues for many cities around the world. A number of recent and previous international studies have been initiated to explore these issues. In particular relevant experience from several European projects will be demonstrated. MEGAPOLI studies aimed to assess the impacts of megacities and large air-pollution hotspots on local, regional and global air quality; to quantify feedback mechanisms linking megacity air quality, local and regional climates, and global climate change; and to develop improved tools for predicting air pollution levels in megacities (doi:10.5194/asr-4-115-2010). FUMAPEX developed for the first time an integrated system encompassing emissions, urban meteorology and population exposure for urban air pollution episode forecasting, the assessment of urban air quality and health effects, and for emergency preparedness issues for urban areas (UAQIFS: Urban Air Quality Forecasting and Information System; doi.org/10.5194/acp-6-2005-2006; doi.org/10.5194/acp-7-855-2007).</p><p>While important advances have been made, new interdisciplinary research studies are needed to increase our understanding of the interactions between emissions, air quality, and regional and global climates. Studies need to address both basic and applied research and bridge the spatial and temporal scales connecting local emissions, air quality and weather with climate and global atmospheric chemistry. WMO has established the Global Atmosphere Watch (GAW) Urban Research Meteorology and Environment (GURME) project which provides an important research contribution to the integrated urban services.</p><p>Most of the disasters affecting urban areas are of a hydro-meteorological nature and these have increased due to climate change. Cities are also responsible not only for air pollution emissions, but also for generating up to 70% of GHG emissions that drive large scale climate change. Thus, there is a strong feedback between contributions of cities to environmental health, climate change and the impacts of climate change on cities and these phases of the problem should not be considered separately. There is a critical need to consider the problem in a complex manner with interactions of climate change and disaster risk reduction for urban areas (doi:10.1016/j.atmosenv.2015.11.059, doi.org/10.1016/j.uclim.2017.05.004).</p><p>WMO is promoting safe, healthy and resilient cities through the development of Integrated Urban Weather, Environment and Climate Services (IUS). The aim is to build urban services that meet the special needs of cities through a combination of dense observation networks, high-resolution forecasts, multi-hazard early warning systems, disaster management plans and climate services. This approach gives cities the tools they need to reduce emissions, build thriving and resilient communities and implement the UN Sustainable Development Goals. The Guidance on IUS, developed by a WMO inter-programme working group, documents and shares the good practices that will allow countries and cities to improve the resilience of urban areas to a great variety of natural and other hazards (https://library.wmo.int/doc_num.php?explnum_id=9903).</p>


2021 ◽  
Vol 7 (2) ◽  
pp. 253-267
Author(s):  
Beti Angelevska ◽  
Vaska Atanasova ◽  
Igor Andreevski

Air pollution is a cause for serious concerns in urban areas in Republic of North Macedonia. Intensive development of road transport increases the main air pollutants’ concentrations - particulate matter and nitrogen dioxide, whose monitored values are continuously exceeding the limit. The main disadvantage of the national plans and annual reports is the absence of comprehensive and categorized list of reduction/mitigation measures for road transport impacts on air quality. Analyzing the current air pollution problem and road transport contribution this paper provides the needed and detailed categorization of short-to-long term reduction/mitigation measures consisting of five subcategories. Based on measure categorization, a guiding frame for urban air quality is designed, intended for further support and assistance for local authorities in the process of air pollution control. Designed with integrated activities, the air quality guidance enables them to select suitable measures to manage road transport pollution and to evaluate their effects estimating the changes in air pollution levels. Hence, the guidance can be used for thorough planning of air quality issues caused by road transport and for policy making. Contributing for urban air quality improvement the guidance is a first step towards the implementation of air pollution management in urban areas. Doi: 10.28991/cej-2021-03091651 Full Text: PDF


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