Applied Mathematics and Nonlinear Sciences (Jan 2024)

Data-driven analysis of carbon emissions from buildingization under the CRISP-DM framework

  • Wang Wanying

DOI
https://doi.org/10.2478/amns-2024-1778
Journal volume & issue
Vol. 9, no. 1

Abstract

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As a crucial pillar of the national economy, the healthy and stable development of the construction industry provides strong support to the national economy. In the current developmental context, it is particularly important to address the relationship between growth and low-carbon emission reduction. This paper proposes a study of carbon emissions from buildings using the CRISP-DM framework. According to the current situation of carbon emissions from building construction, data on the building stage is obtained from two parts: prefabricated works and on-site pouring. Because the original list data of engineering materials is partially missing, the data is processed by the weighted average method for each building material usage and carbon emission to avoid affecting the analysis results of the overall data. Combining the carbon emission measurement formula, carbon emission factor, and CRISP-DM, the carbon emission measurement model for buildingization is constructed using CRISP-DM. According to the model, the carbon emission in the transportation phase of prefabricated building materials is 1039925.978 kgCO2e, and the carbon emission of C30 concrete is the largest, with a value of 510,156.027 kgCO2e. In addition, the carbon emission in the transportation phase of cast-in-place building materials is 180.812 kgCO2e, of which the largest carbon emission is crushed stone (85.007 kgCO2e). This study can provide a reference for the construction industry in each province to set the carbon emission reduction target according to the local conditions, which is of practical significance to promote the low-carbon development of building construction.

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