The Environmental Benefits Mapping and Analysis Program – Community Edition (BenMAP–CE): A tool to estimate the health and economic benefits of reducing air pollution

Sacks, Jason D.; Lloyd, Jennifer M.; Zhu, Yun; Anderton, Jim; Jang, Carey; Hubbell, Bryan; Fann, Neal

doi:10.1016/j.envsoft.2018.02.009

Cited by 151 publications

(113 citation statements)

References 18 publications

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“…BenMAP-CE v1.4 was used to assess the health benefits of improving air quality in Wuhan, which is a health assessment tool for air pollution control designed by the US Environmental Protection Agency (EPA) and South China University of Technology [25,26]. The health impact function is used to assess changes in adverse health effects associated with changes in exposure to air pollution [27].…”

Section: Health Impact Assessmentmentioning

confidence: 99%

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PM2.5-Related Health Economic Benefits Evaluation Based on Air Improvement Action Plan in Wuhan City, Middle China

Zhou

Wang

et al. 2020

IJERPH

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On the basis of PM 2.5 data of the national air quality monitoring sites, local population data, and baseline all-cause mortality rate, PM 2.5 -related health economic benefits of the Air Improvement Action Plan implemented in Wuhan in 2013-2017 were investigated using health-impact and valuation functions. Annual avoided premature deaths driven by the average concentration of PM 2.5 decrease were evaluated, and the economic benefits were computed by using the value of statistical life (VSL) method. Results showed that the number of avoided premature deaths in Wuhan are 21,384 (95% confidence interval (CI): 15,004 to 27,255) during 2013-2017, due to the implementation of the Air Improvement Action Plan. According to the VSL method, the obtained economic benefits of Huangpi, These economic benefits added up to 64.35 billion RMB (95% CI: 45.15 to 82.02 billion RMB), accounting for 4.80% (95% CI: 3.37% to 6.12%) of the total GDP of Wuhan in 2017. Therefore, in the process of formulating a regional air quality improvement scheme, apart from establishing hierarchical emission-reduction standards and policies, policy makers should give integrated consideration to the relationship between regional economic development, environmental protection and residents' health benefits. Furthermore, for improving air quality, air quality compensation mechanisms can be established on the basis of the status quo and trends of air quality, population distribution, and economic development factors.

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Section: Health Impact Assessmentmentioning

confidence: 99%

“…Since death is the most significant end point of various health effects related to PM 2.5 pollution, this paper chooses all-cause death as the end point of health effects [29,30]. For this study, Equation (1) was used to evaluate the health benefits obtained by controlling the PM 2.5 concentration in Wuhan [26].…”

Section: Health Impact Assessmentmentioning

confidence: 99%

PM2.5-Related Health Economic Benefits Evaluation Based on Air Improvement Action Plan in Wuhan City, Middle China

Zhou

Wang

et al. 2020

IJERPH

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“…However, whether this measure accurately reflects the true health benefit remains unanswered. The US Environmental Protection Agency (EPA) has developed methods to evaluate the health economics and cost/benefit ratio of a pollutant emission reduction/standard setting (5,6). These methods can be adopted and modified to assess health benefits of pollutant reductions for other countries.…”

Section: Editorial Of Air Pollution Sectionmentioning

confidence: 99%

Health effects of air pollution: what we need to know and to do in the next decade

Zhang¹,

Adcock²,

Zhang³

et al. 2019

J. Thorac. Dis

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“…This method was separated into two parts: i) The microenvironments and time-activity patterns were classified and calculated based on the derived information; ii) the time-activity information was matched with corresponding microenvironmental concentrations to estimate the dynamic time-weighted exposure. The exposure time was considered costly and the metrics estimated the annual hourly-average PM 2.5 exposures, which were then used as an input for BenMap-CE [34]. Table 1.…”

Section: Developing Tier Models To Estimate Human Exposurementioning

confidence: 99%

“…The environmental Benefits Mapping and Analysis Program-Community Edition (BenMap-CE) is a powerful Geographical Information system (GIS)-based program that estimates the health effects associated with the change in air quality [34,45]. These data consisted of a middle layer super output areas (MSOA) map of GLA, the derived monitoring data and London's population data, in order to estimate the health impact.…”

Section: Simulating Pm 25 Exposure Concentration and Estimating Healmentioning

confidence: 99%

Quantifying the Health Burden Misclassification from the Use of Different PM2.5 Exposure Tier Models: A Case Study of London

Kazakos

Luo

Ewart

2020

IJERPH

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Exposure to PM2.5 has been associated with increased mortality in urban areas. Hence, reducing the uncertainty in human exposure assessments is essential for more accurate health burden estimates. Here, we quantified the misclassification that occurred when using different exposure approaches to predict the mortality burden of a population using London as a case study. We developed a framework for quantifying the misclassification of the total mortality burden attributable to exposure to fine particulate matter (PM2.5) in four major microenvironments (MEs) (dwellings, aboveground transportation, London Underground (LU) and outdoors) in the Greater London Area (GLA), in 2017. We demonstrated that differences exist between five different exposure Tier-models with incrementally increasing complexity, moving from static to more dynamic approaches. BenMap-CE, the open source software developed by the U.S. Environmental Protection Agency, was used as a tool to achieve spatial distribution of the ambient concentration by interpolating the monitoring data to the unmonitored areas and ultimately estimating the change in mortality on a fine resolution. Indoor exposure to PM2.5 is the largest contributor to total population exposure concentration, accounting for 83% of total predicted population exposure, followed by the London Underground, which contributes approximately 15%, despite the average time spent there by Londoners being only 0.4%. After incorporating housing stock and time-activity data, moving from static to most dynamic metric, Inner London showed the highest reduction in exposure concentration (i.e., approximately 37%) and as a result the largest change in mortality (i.e., health burden/mortality misclassification) was observed in central GLA. Overall, our findings showed that using outdoor concentration as a surrogate for total population exposure but ignoring different exposure concentration that occur indoors and time spent in transit, led to a misclassification of 1174–1541 mean predicted mortalities in GLA. We generally confirm that increasing the complexity and incorporating important microenvironments, such as the highly polluted LU, could significantly reduce the misclassification of health burden assessments.

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The Environmental Benefits Mapping and Analysis Program – Community Edition (BenMAP–CE): A tool to estimate the health and economic benefits of reducing air pollution

Cited by 151 publications

References 18 publications

PM2.5-Related Health Economic Benefits Evaluation Based on Air Improvement Action Plan in Wuhan City, Middle China

PM2.5-Related Health Economic Benefits Evaluation Based on Air Improvement Action Plan in Wuhan City, Middle China

Health effects of air pollution: what we need to know and to do in the next decade

Quantifying the Health Burden Misclassification from the Use of Different PM2.5 Exposure Tier Models: A Case Study of London

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