Life Cycle Analysis of Road Construction and Use

Trunzo, Giampiero; Moretti, Laura; D’Andrea, Antonio

doi:10.3390/su11020377

Cited by 35 publications

(24 citation statements)

References 26 publications

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“…Similarly, research in Australia states that recycled material which is reused as a coating material has lower emission levels than new material [21]. By adopting the principle of environmentally friendly road planning using the concept of low-impact procedures in producing materials and utilizing recycled materials, it will have great potential to reduce environmental impacts [22] From the case study, it can be learned that the most CO 2 emissions are produced from the process of material production and transportation from the factory to the project site with an estimate of around 98%, while in the implementation of construction on site is only 1-2%. The high emission in the production process is due to the many stages to produce materials in the factory.…”

Section: Discussionmentioning

confidence: 99%

Estimating carbon emission of rigid pavement: a case study of Palur Flyover

et al. 2020

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All construction activities will inevitably produce CO2 emissions from the production process of materials, transportation, the usage of plant and equipment, the construction process, up to building demolition. Therefore, it is very important to understand the construction process and the amount of CO2 emissions released at each stage of the construction process. This research aims to estimate the amount of CO2 emissions during the construction process of a rigid pavement project. Data collection is done by observing rigid pavement of Palur Flyover project as a case study. The results show the total CO2 emissions during the construction process equals 92.901 tonnes CO2e, consisting of 91.334 tonnes CO2e (98.3%) of off-site activities, and 1.567 tonnes CO2e (1.7%) of on-site activities. The highest emission from off-site activities coming from material production of cement and steel rebars of 88.166 tonnes CO2e (94.9%), and the material transportation process of 3.168 tonnes CO2e (3.4%). This research shows that off-site construction activities, i.e. material production and transportation significantly influence the extent of CO2 emissions in this rigid pavement project. Therefore, it is recommended that strategic efforts for reducing the CO2 emissions of other typical rigid pavement projects should focus on these two.

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Section: Discussionmentioning

confidence: 99%

Estimating carbon emission of rigid pavement: a case study of Palur Flyover

et al. 2020

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“…Given the limitations of traditional project evaluation approaches, there is growing interest to develop sustainability-based assessment approaches for infrastructure projects [10]. However, among the three areas of sustainability, the environment has been the main focus for most of the studies [11,12], and the social area of sustainability has been neglected [13]. A list of some recent studies related to the life cycle sustainability assessment of road projects is presented in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Road Infrastructure Projects: A Life Cycle Sustainability-Based Decision-Making Approach

et al. 2021

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Economic growth, social wellbeing, and infrastructure are strongly interrelated and jointly contribute to national development. Therefore, evaluation and selection of a road infrastructure project direly need a comprehensive sustainability assessment integrating holistic decision criteria. This study presents an elaborate life cycle sustainability-based project evaluation tool, comprising an assessment framework, an integration model, and a decision framework. In the first phase, a life cycle sustainability assessment (LCSA) framework for road infrastructure is established using mixed methods. In the second phase, interviews are conducted to obtain pairwise comparisons among impact categories and subjective reasoning of their priorities. Analytical hierarchy process (AHP) is adopted to develop the LCSA integration model. The minimum threshold limits of impact categories are evaluated and integrated into the proposed decision framework. Further, thematic and cross-sectional analyses are performed on the interview findings to rationalize the proposed decision framework. The findings include a detailed and customized project assessment framework, an integration model, and a decision framework for the assessment of different project alternatives. This study helps policy- and decision-makers in selecting the project alternative by maximizing sustainability in road infrastructure projects. Insights into environmental and social externalities and their quantitative interpretation throughout the life of the road are also achieved.

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“…According to [8], both the construction and the use of roads have several environmental impacts which call for the evaluation of the sources of their exposure to take correct mitigation measures. Life cycle analysis (LCA) is a useful way of providing verifiable, accurate and nonmisleading information for decision-makers.…”

Section: Literature Reviewmentioning

confidence: 99%

Alternative Method for Estimating the Maintenance Cost of Roads in Anambra State, Nigeria

Ekwueme

Emunefe²,

Otty

et al. 2020

JERR

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Aims: This study proposed an alternative method for the estimation of maintenance cost of roads in Anambra State, Nigeria. The proposed method referred to as the permuted quadratic model (PQM) involves permuting of the dependent variable of the quadratic model. Place and Duration of Study: The data used in this study was secondary data sourced from the records department of consolidated construction company asphalt plant Anambra state, Nigeria from 2004 to 2019. Methodology: The linear regression model and the permuted quadratic model were used to analyze the data for the study. Results: The result found that 74.0% correlation exists between the observed maintenance cost of roads and the predicted maintenance cost of roads using the linear model while the predicted maintenance cost of roads using the permuted quadratic model has 75.8% correlation with the observed maintenance cost of roads. This result indicates that the proposed permuted quadratic model performed better than the linear model for the estimation of the maintenance cost of roads in Anambra State. Conclusion: The study recommends the proposed model for the estimation of maintenance cost of roads in Anambra State until future studies prove otherwise.

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Life Cycle Analysis of Road Construction and Use

Cited by 35 publications

References 26 publications

Estimating carbon emission of rigid pavement: a case study of Palur Flyover

Estimating carbon emission of rigid pavement: a case study of Palur Flyover

Evaluation of Road Infrastructure Projects: A Life Cycle Sustainability-Based Decision-Making Approach

Alternative Method for Estimating the Maintenance Cost of Roads in Anambra State, Nigeria

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