Abstract
This research is motivated by the need to improve transportation policy analysis through the development of a holistic framework to evaluate transportation externalities. Traditionally, transportation planning has been focused primarily on the improvement of transportation infrastructure and network performance and little attention has been paid to the resulting externalities that negatively impact public health. The paper presents a holistic analysis framework that enables policy makers analyze the chain effect of transportation demand on air quality and population health exposure. Holism is achieved by incorporating the interactions between transportation demand, network performance measurement, vehicular emissions, air quality modeling and population exposure assessment. The eventual impact of vehicular emissions on population is measured through the use of an intake fraction metric, which measures the fraction of pollutant inhaled by an exposed population over a defined period of time. The proposed framework takes advantage of the existing state-of-the-art domain specific models so there is no need to re-invent the wheels. Instead, the focus of the this research is to provide a prescriptive process of addressing data gaps and resolution matching between these models as well as other models alike. The proposed population exposure assessment incorporates key parameters including different microenvironments and inhalation rates not accounted for in the existing literature of exposure assessment. The entire framework is evaluated with the three city sub-region of Maricopa County in Arizona. Further investigations demonstrate the importance of differentiating microenvironments and inhalation rates to properly capturing population exposure.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 94-113 |
| Number of pages | 20 |
| Journal | Transportation Research Part D: Transport and Environment |
| Volume | 46 |
| DOIs | |
| State | Published - Jul 1 2016 |
| Externally published | Yes |
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Keywords
- Air quality
- Intake fraction
- Integrated framework
- Population exposure
- Vehicle emissions
ASJC Scopus subject areas
- Transportation
- Environmental Science(all)
Cite this
A comprehensive modeling framework for transportation-induced population exposure assessment. / Vallamsundar, Suriya; Lin, Jane; Konduri, Karthik; Zhou, Xuesong; Pendyala, Ram.
In: Transportation Research Part D: Transport and Environment, Vol. 46, 01.07.2016, p. 94-113.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A comprehensive modeling framework for transportation-induced population exposure assessment
AU - Vallamsundar, Suriya
AU - Lin, Jane
AU - Konduri, Karthik
AU - Zhou, Xuesong
AU - Pendyala, Ram
PY - 2016/7/1
Y1 - 2016/7/1
N2 - This research is motivated by the need to improve transportation policy analysis through the development of a holistic framework to evaluate transportation externalities. Traditionally, transportation planning has been focused primarily on the improvement of transportation infrastructure and network performance and little attention has been paid to the resulting externalities that negatively impact public health. The paper presents a holistic analysis framework that enables policy makers analyze the chain effect of transportation demand on air quality and population health exposure. Holism is achieved by incorporating the interactions between transportation demand, network performance measurement, vehicular emissions, air quality modeling and population exposure assessment. The eventual impact of vehicular emissions on population is measured through the use of an intake fraction metric, which measures the fraction of pollutant inhaled by an exposed population over a defined period of time. The proposed framework takes advantage of the existing state-of-the-art domain specific models so there is no need to re-invent the wheels. Instead, the focus of the this research is to provide a prescriptive process of addressing data gaps and resolution matching between these models as well as other models alike. The proposed population exposure assessment incorporates key parameters including different microenvironments and inhalation rates not accounted for in the existing literature of exposure assessment. The entire framework is evaluated with the three city sub-region of Maricopa County in Arizona. Further investigations demonstrate the importance of differentiating microenvironments and inhalation rates to properly capturing population exposure.
AB - This research is motivated by the need to improve transportation policy analysis through the development of a holistic framework to evaluate transportation externalities. Traditionally, transportation planning has been focused primarily on the improvement of transportation infrastructure and network performance and little attention has been paid to the resulting externalities that negatively impact public health. The paper presents a holistic analysis framework that enables policy makers analyze the chain effect of transportation demand on air quality and population health exposure. Holism is achieved by incorporating the interactions between transportation demand, network performance measurement, vehicular emissions, air quality modeling and population exposure assessment. The eventual impact of vehicular emissions on population is measured through the use of an intake fraction metric, which measures the fraction of pollutant inhaled by an exposed population over a defined period of time. The proposed framework takes advantage of the existing state-of-the-art domain specific models so there is no need to re-invent the wheels. Instead, the focus of the this research is to provide a prescriptive process of addressing data gaps and resolution matching between these models as well as other models alike. The proposed population exposure assessment incorporates key parameters including different microenvironments and inhalation rates not accounted for in the existing literature of exposure assessment. The entire framework is evaluated with the three city sub-region of Maricopa County in Arizona. Further investigations demonstrate the importance of differentiating microenvironments and inhalation rates to properly capturing population exposure.
KW - Air quality
KW - Intake fraction
KW - Integrated framework
KW - Population exposure
KW - Vehicle emissions
UR - http://www.scopus.com/inward/record.url?scp=84962174324&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962174324&partnerID=8YFLogxK
U2 - 10.1016/j.trd.2016.03.009
DO - 10.1016/j.trd.2016.03.009
M3 - Article
AN - SCOPUS:84962174324
VL - 46
SP - 94
EP - 113
JO - Transportation Research, Part D: Transport and Environment
JF - Transportation Research, Part D: Transport and Environment
SN - 1361-9209
ER -