The Development of a CO 2 Emission Coefficient for Medium- and Heavy-Duty Vehicles with Different Road Slope Conditions Using Multiple Linear Regression, and Considering the Health Effects

Natthakrit Bamrungwong, Varin Vongmanee and Wanchai Rattanawong
Additional contact information
Natthakrit Bamrungwong: Graduate School, University of the Thai Chamber of Commerce, 126/1 Vibhavadi Rangsit Road, Dindaeng District, Bangkok 10400, Thailand
Varin Vongmanee: School of Engineering, University of the Thai Chamber of Commerce, Dindaeng District, Bangkok 10400, Thailand
Wanchai Rattanawong: School of Engineering, University of the Thai Chamber of Commerce, Dindaeng District, Bangkok 10400, Thailand

Sustainability, 2020, vol. 12, issue 17, 1-21

Abstract: The current studies on carbon dioxide (CO 2 ) emissions and the impacts on public health focus mainly on evaluating CO 2 emissions from two types of emission sources. The first is a fixed source type from industrial plants, which can be controlled or easily evaluated. The second is a mobile source type from the transport sector, especially from medium- and heavy-duty vehicles (MHDVs), which produce high emissions. However, the common methods of evaluation of the average value of CO 2 emissions per kilometer of a vehicle use a general Intergovernmental Panel on Climate Change (IPCC) model that does not consider the topography or road conditions. This affects the accuracy of CO 2 emission assessments and, in turn, affects the accuracy of any analysis needed to establish health policies and the management of public health within the affected area. In this paper, therefore, we present the development of emission coefficient calculations with varying topography conditions for MHDVs with consideration of the health effects on the populace. The study area was the Asian highway network in Thailand that passes through all regions and is geographically diverse. Data were collected from the Department of Highway’s records, global positioning system (GPS) and electronic control unit (ECU) with data consisting of road data, slope, distance, traffic level and vehicle weight, as well as fuel consumption along the transportation route. To analyze and map out the correlation of the CO 2 emission coefficients for each road slope, we determined the coefficient of the CO 2 emissions using multiple linear regression analysis and validated this using Huber–White robust standard errors for heteroscedasticity. This method was more cost-efficient and time-efficient compared to the conventional approaches. We also created CO 2 emission maps with risk points for health effects, and we propose policy designs and plans to manage the traffic level in each of these areas prone to higher levels of such emissions.

Keywords: CO 2 emissions; Asian highway network; health effects; road slope; MLR analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/17/6994/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/17/6994/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:17:p:6994-:d:405002

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().