Abstract
To mitigate the environmental problems caused by global warming and climate change, many countries agree that reduction in greenhouse gas (GHG) emissions is mandatory. Against this backdrop, the construction industry has continuously attempted to reduce or mitigate the GHG emissions from construction projects. However, most green technology (GT) applications remain more focused on building projects and are largely limited to the operation and maintenance phases. Addressing this issue, this research proposes a sustainable performance index (SPI) for assessments of GTs related to urban infrastructures from the early stages of a project lifecycle. First, 31 infrastructure-related GTs are presented from a literature review. Second, the SPI, including environmental, economic, and social categories and 12 subfactors, is established using the fuzzy-analytic hierarchy process (fuzzy-AHP) method that functions well in eliminating the ambiguity and uncertainty in the weighting of the SPI factors. The illustrative case application shows that the SPI is expected to support decision-making processes for selecting the proper GTs and to provide a balanced view that accounts for economic and social impacts on the early planning stages of urban infrastructure projects.
| Original language | English |
|---|---|
| Article number | 4017056 |
| Journal | Journal of Management in Engineering |
| Volume | 34 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2018 Mar 1 |
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All Science Journal Classification (ASJC) codes
- Industrial relations
- Engineering(all)
- Strategy and Management
- Management Science and Operations Research
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Sustainable Performance Index for Assessing the Green Technologies in Urban Infrastructure Projects. / Jang, Woosik; Lee, Sang Ku; Han, Seung Heon.
In: Journal of Management in Engineering, Vol. 34, No. 2, 4017056, 01.03.2018.Research output: Contribution to journal › Article
TY - JOUR
T1 - Sustainable Performance Index for Assessing the Green Technologies in Urban Infrastructure Projects
AU - Jang, Woosik
AU - Lee, Sang Ku
AU - Han, Seung Heon
PY - 2018/3/1
Y1 - 2018/3/1
N2 - To mitigate the environmental problems caused by global warming and climate change, many countries agree that reduction in greenhouse gas (GHG) emissions is mandatory. Against this backdrop, the construction industry has continuously attempted to reduce or mitigate the GHG emissions from construction projects. However, most green technology (GT) applications remain more focused on building projects and are largely limited to the operation and maintenance phases. Addressing this issue, this research proposes a sustainable performance index (SPI) for assessments of GTs related to urban infrastructures from the early stages of a project lifecycle. First, 31 infrastructure-related GTs are presented from a literature review. Second, the SPI, including environmental, economic, and social categories and 12 subfactors, is established using the fuzzy-analytic hierarchy process (fuzzy-AHP) method that functions well in eliminating the ambiguity and uncertainty in the weighting of the SPI factors. The illustrative case application shows that the SPI is expected to support decision-making processes for selecting the proper GTs and to provide a balanced view that accounts for economic and social impacts on the early planning stages of urban infrastructure projects.
AB - To mitigate the environmental problems caused by global warming and climate change, many countries agree that reduction in greenhouse gas (GHG) emissions is mandatory. Against this backdrop, the construction industry has continuously attempted to reduce or mitigate the GHG emissions from construction projects. However, most green technology (GT) applications remain more focused on building projects and are largely limited to the operation and maintenance phases. Addressing this issue, this research proposes a sustainable performance index (SPI) for assessments of GTs related to urban infrastructures from the early stages of a project lifecycle. First, 31 infrastructure-related GTs are presented from a literature review. Second, the SPI, including environmental, economic, and social categories and 12 subfactors, is established using the fuzzy-analytic hierarchy process (fuzzy-AHP) method that functions well in eliminating the ambiguity and uncertainty in the weighting of the SPI factors. The illustrative case application shows that the SPI is expected to support decision-making processes for selecting the proper GTs and to provide a balanced view that accounts for economic and social impacts on the early planning stages of urban infrastructure projects.
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U2 - 10.1061/(ASCE)ME.1943-5479.0000582
DO - 10.1061/(ASCE)ME.1943-5479.0000582
M3 - Article
AN - SCOPUS:85037034809
VL - 34
JO - Journal of Management in Engineering - ASCE
JF - Journal of Management in Engineering - ASCE
SN - 0742-597X
IS - 2
M1 - 4017056
ER -