scholarly journals Vehicle telematics data for urban freight environmental impact analysis

2022 ◽  
Vol 102 ◽  
pp. 103121
Author(s):  
Simon Hu ◽  
Siqi Shu ◽  
Justin Bishop ◽  
Xiaoxiang Na ◽  
Marc Stettler
Keyword(s):  
Environmental Impact ◽  
Impact Analysis ◽  
Environmental Impact Analysis ◽  
Urban Freight

Forecast of passenger car market structure and environmental impact analysis in China

2021 ◽  
Vol 772 ◽  
pp. 144950
Author(s):  
Dong Guo ◽  
Wei Yan ◽  
Xingbang Gao ◽  
Yujiao Hao ◽  
Yi Xu ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Market Structure ◽  
Impact Analysis ◽  
Passenger Car ◽  
Environmental Impact Analysis ◽  
Car Market

scholarly journals Analysis of the Characteristics of Environmental Impacts According to the Cut-Off Criteria Applicable to the Streamlined Life Cycle Assessment (S-LCA) of Apartment Buildings in South Korea

2021 ◽  
Vol 13 (5) ◽  
pp. 2898
Author(s):  
Rakhyun Kim ◽  
Myung-Kwan Lim ◽  
Seungjun Roh ◽  
Won-Jun Park
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Environmental Impacts ◽  
Impact Analysis ◽  
Impact Categories ◽  
Environmental Impact Analysis ◽  
Apartment Buildings ◽  
Environmental Impact Categories ◽  
Weight Percentile

This study analyzed the characteristics of the environmental impacts of apartment buildings, a typical housing type in South Korea, as part of a research project supporting the streamlined life cycle assessment (S-LCA) of buildings within the G-SEED (Green Standard for Energy and Environmental Design) framework. Three recently built apartment building complexes were chosen as study objects for the quantitative evaluation of the buildings in terms of their embodied environmental impacts (global warming potential, acidification potential, eutrophication potential, ozone layer depletion potential, photochemical oxidant creation potential, and abiotic depletion potential), using the LCA approach. Additionally, we analyzed the emission trends according to the cut-off criteria of the six environmental impact categories by performing an S-LCA with cut-off criteria 90–99% of the cumulative weight percentile. Consequently, we were able to present the cut-off criterion best suited for S-LCA and analyze the effect of the cut-off criteria on the environmental impact analysis results. A comprehensive environmental impact analysis of the characteristics of the six environmental impact categories revealed that the error rate was below 5% when the cut-off criterion of 97.5% of the cumulative weight percentile was applied, thus verifying its validity as the optimal cut-off criterion for S-LCA.

Sign in / Sign up

Export Citation Format

Share Document