Cigarette induced PM2.5 in hotel rooms: An assessment of the effectiveness of management’s mitigating measures

Chan, Wai Hung; Lee, Shuncheng; Li, Danny H.W.; Chen, XingQi Kikky

doi:10.1016/j.ijhm.2016.09.011

Cited by 8 publications

(7 citation statements)

References 22 publications

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“…In this study, despite the fact that PM 2.5 mass concentrations of the SHS q group were 1.4‐1.6 times that of the Non‐SHS q group, there was a large proportion of the distributions in PM 2.5 concentrations that overlapped between the two groups (Figure A), demonstrating the poor specificity of the simple mass concentrations for differentiating SHS exposure. Average PM 2.5 mass concentration was largely affected by various sources including ambient PM 2.5 level (estimated as ~87% of the total), and PM 2.5 from SHS was further diluted by other PM 2.5 sources …”

Section: Discussionsupporting

confidence: 89%

“…Average PM 2.5 mass concentration was largely affected by various sources including ambient PM 2.5 level (estimated as ~87% of the total), and PM 2.5 from SHS was further diluted by other PM 2.5 sources. 29 As demonstrated in this study, as well as others, 30,46 cigarette smoking led to a rapid increase in indoor particle levels and a decrease after the smoking event, therefore forming peaks in the PM 2.5 time series data, verifying the sensitivity of PM 2.5 to tobacco smoke.…”

Section: Discussionsupporting

confidence: 85%

“…On average, the time it takes to smoke a cigarette is 5‐7 minutes . PM 2.5 levels can increase substantially with tobacco combustion in a confined space or within a close distance to the smoker . The effect of cigarette smoke on PM 2.5 concentration typically lasts for less than half an hour …”

Section: Introductionmentioning

confidence: 99%

“…28 PM 2.5 levels can increase substantially with tobacco combustion in a confined space or within a close distance to the smoker. 29,30 The effect of cigarette smoke on PM 2.5 concentration typically lasts for less than half an hour. 31,32 Continuous air sampling data allow us to evaluate the time, location, and level of peak exposures.…”

mentioning

confidence: 99%

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Characterizing peak exposure of secondhand smoke using a real‐time PM _2.5 monitor

et al. 2019

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Although short‐duration elevated exposures (peak exposures) to pollutants may trigger adverse acute effects, epidemiological studies to understand their influence on different health effects are hampered by lack of methods for objectively identifying peaks. Secondhand smoke from cigarettes (SHS) in the residential environment can lead to peak exposures. The aim of this study was to explore whether peaks in continuous PM2.5 data can indicate SHS exposure. A total of 41 children (21 with and 20 without SHS exposure based on self‐report) from 28 families in New York City (NY, USA) were recruited. Both personal and residential continuous PM2.5 monitoring were performed for five consecutive days using MicroPEM sensors (RTI International, USA). A threshold detection method based on cumulative distribution function was developed to identify peaks. When children were home, the mean accumulated peak area (APA) for peak exposures was 297 ± 325 hour*µg/m3 for children from smoking families and six times that of the APA from non‐smoking families (~50 ± 54 hour*µg/m3). Average PM2.5 mass concentrations for SHS exposed and unexposed children were 24 ± 15 µg/m3 and 15 ± 9 µg/m3, respectively. The average SHS exposure duration represents ~5% of total exposure time, but ~13% of children's total PM2.5 exposure dose, equivalent to an additional 2.6 µg/m3 per day. This study demonstrated the feasibility of peak analysis for quantifying SHS exposure. The developed method can be adopted more widely to support epidemiology studies on impacts of short‐term exposures.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Characterizing peak exposure of secondhand smoke using a real‐time PM _2.5 monitor

et al. 2019

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“…This would provide both a general Indoor air monitoring and management assessment of IAQ performance at the building level and specific insights for distinct areas (Asadi et al, 2011). So far, IAQ has mainly been investigated within private rooms (Chan et al, 2009(Chan et al, , 2015(Chan et al, , 2017Chang et al, 2020;He et al, 2016) due to a focus on guests. With our framework, we aim to evaluate both guests and staff exposure to provide managers with more holistic information.…”

Section: Background and Framework Definitionmentioning

confidence: 99%

Indoor air quality monitoring and management in hospitality: an overarching framework

Zanni

Mura

Longo

et al. 2022

IJCHM

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Purpose This study aims to provide a comprehensive framework for the study of indoor air quality (IAQ) in hospitality premises. The goal is to identify the drivers of air pollution, both at the exogenous and endogenous level, to generate insights for facility managers. Design/methodology/approach The complexity of hospitality premises requires an integrated approach to properly investigate IAQ. The authors develop an overarching framework encompassing a monitoring method, based on real-time sensors, a technological standard and a set of statistical analyses for the assessment of both IAQ performance and drivers, based on correlation analyses, analysis of variance and multivariate regressions. Findings The findings suggest that the main drivers of IAQ differ depending on the area monitored: areas in contact with the outdoors or with high ventilation rates, such as halls, are affected by outdoor air quality more than guestrooms or fitness areas, where human activities are the main sources of contamination. Research limitations/implications The results suggest that the integration of IAQ indicators into control dashboards would support management decisions, both in defining protocols to support resilience of the sector in a postpandemic world and in directing investments on the premises. This would also address guests’ pressing demands for a broader approach to cleanliness and safety and support their satisfaction and intention to return. Originality/value To the best of the authors’ knowledge, this is the first study developing a comprehensive framework to systematically address IAQ and its drivers, based on a standard and real-time monitoring. The framework has been applied across the longest period of monitoring for a hospitality premise thus far and over an entire hotel facility.

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Effect of airflow pattern and distance on removal of particulate matters and volatile organic compounds from cigarette smoke using Sansevieria trifasciata botanical biofilter

2022

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Cigarette induced PM2.5 in hotel rooms: An assessment of the effectiveness of management’s mitigating measures

Cited by 8 publications

References 22 publications

Characterizing peak exposure of secondhand smoke using a real‐time PM _2.5 monitor

Characterizing peak exposure of secondhand smoke using a real‐time PM _2.5 monitor

Indoor air quality monitoring and management in hospitality: an overarching framework

Effect of airflow pattern and distance on removal of particulate matters and volatile organic compounds from cigarette smoke using Sansevieria trifasciata botanical biofilter

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Cigarette induced PM2.5 in hotel rooms: An assessment of the effectiveness of management’s mitigating measures

Cited by 8 publications

References 22 publications

Characterizing peak exposure of secondhand smoke using a real‐time PM 2.5 monitor

Characterizing peak exposure of secondhand smoke using a real‐time PM 2.5 monitor

Indoor air quality monitoring and management in hospitality: an overarching framework

Effect of airflow pattern and distance on removal of particulate matters and volatile organic compounds from cigarette smoke using Sansevieria trifasciata botanical biofilter

Contact Info

Product

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Characterizing peak exposure of secondhand smoke using a real‐time PM _2.5 monitor

Characterizing peak exposure of secondhand smoke using a real‐time PM _2.5 monitor