2020
DOI: 10.3390/su122410171
|View full text |Cite
|
Sign up to set email alerts
|

Impact Analysis Using Life Cycle Assessment of Asphalt Production from Primary Data

Abstract: Road construction and maintenance have a great impact on the environment, owing to the huge volumes of resources involved. Consequently, current production procedures and technologies must be properly investigated, for identifying and quantifying the life cycle environmental impacts produced. In this paper, primary data, i.e., site-specific data directly collected or measured on a reference plant, are analyzed for calculating the impact of the production of a hot mix asphalt. The analysis is performed in a fro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(15 citation statements)
references
References 33 publications
0
12
0
Order By: Relevance
“…Further, by developing the original interval rough MCDM model, the following contributions can be singled out: (1) Creating a new IRN PIPRECIA-IRN EDAS approach that enables assessment, ranking and selection in the field of road construction in an objective way. (2) Insensitivity of the model increasing the size of initial matrix.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Further, by developing the original interval rough MCDM model, the following contributions can be singled out: (1) Creating a new IRN PIPRECIA-IRN EDAS approach that enables assessment, ranking and selection in the field of road construction in an objective way. (2) Insensitivity of the model increasing the size of initial matrix.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, it is necessary to constantly manage the area of road construction, as well as to take into account the type of roads, its construction and the lifespan that is causally related to its maintenance. Road construction and maintenance have a great impact on the environment, so, according to Sollazo et al [1], asphalt production technology needs to be properly researched in order to quantify the environmental impact. In order to enable the fastest Mathematics 2021, 9, 269 2 of 20 and most efficient construction of roads, there are a large number of asphalt production plants that serve a certain narrow geographical area.…”
Section: Introductionmentioning
confidence: 99%
“…The choice of bituminous mixtures as a waste receiver material is due to the fact that it is the product with the highest economic and environmental cost used in infrastructure. This is due to the fact that in most cases it is necessary to heat large masses of materials to high temperatures [21]. In turn, ladle furnace slag is used because it is a waste product of the metallurgical industry that produces a large proportion.…”
Section: Of 15mentioning
confidence: 99%
“…Due to the very large amounts of resources used, road construction and maintenance have a major impact on the environment. Consequently, current production technologies need to be properly studied to identify and quantify the environmental impact on the life cycle of the road structure [1][2][3].…”
Section: Introductionmentioning
confidence: 99%
“…Life cycle assessment (LCA) is a popular methodology in various fields of research, due to the fact that it analyses the impact on the environment for a product, process, service or activity by recognizing and evaluating the input-output data used by the system and providing the output data in a life cycle perspective [9,10]. In the field of roads, the research has been carried out mainly to assess the environmental impact of HMA [2,5,8,11] and HMA containing RAP [12][13][14]. Due to the growing interest in the production of asphalt mixtures at low temperatures in order to protect the environment, the researchers also addressed the subject of WMA and their comparison with HMA, produced at usual temperatures.…”
Section: Introductionmentioning
confidence: 99%