Building Carbon Emission Scenario Prediction Using STIRPAT and GA-BP Neural Network Model
Round 1
Reviewer 1 Report
Please adapt the manuscript to the journal's requirements. There are many errors in the manuscript, e.g.
- you have to remove double citations in the text - please remove the names of the authors of the cited publications in round brackets
- "References" was entered in the wrong place
- the entry of the cited publications in References does not comply with the requirements of the journal
- spaces and periods are missing in many places
- and many other mistakes
Please specify and complete the chapter Conclusions. As should be understood: "In this paper, we use the STIRPAT model to analyze the factors of carbon emissions from the construction industry in Jiangsu Province and use the GA-BP neural network model to forecast the carbon emissions from construction in Jiangsu Province from 2020 is 2024."? Does this mean that the forecasting also covered a period that has partially passed? If so, the entire article will require a thorough revision.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The manuscript is well-written. However, the following comments need to be addressed first:
- The abstract section needs to be re-written. The problem statement, results and benefits of the developed model should be added to it.
- The introduction section needs to be separated from the literature review section. The problem statement and research objectives should be included in the introduction section.
- More recent studies need to be added in the literature review section:
a) Ziyuan, C., Yibo, Y., Simayi, Z., Shengtian, Y., Abulimiti, M., & Yuqing, W. (2022). Carbon emissions index decomposition and carbon emissions prediction in Xinjiang from the perspective of population-related factors, based on the combination of STIRPAT model and neural network. Environmental Science and Pollution Research, 29(21), 31781-31796.
b) Al-Sakkaf, A., Mohammed Abdelkader, E., Mahmoud, S., & Bagchi, A. (2021). Studying Energy Performance and Thermal Comfort Conditions in Heritage Buildings: A Case Study of Murabba Palace. Sustainability, 13(21), 12250.
c) Zhang, Y., Liu, C., Chen, L., Wang, X., Song, X., & Li, K. (2019). Energy-related CO2 emission peaking target and pathways for China's city: A case study of Baoding City. Journal of Cleaner Production, 226, 471-481.
- It is not clear what are the distinctive features of the proposed optimal field sampling method.
- Limitations of previous studies should be added to the manuscript.
- A research framework figure and section should be presented to show the steps of the developed model.
- Model validation and results need to be collected in a separate section towards the end of the manuscript.
- The conclusion section should be strengthened. More insight into the result should be added.
- Limitations of the present research study should be added at the end of the conclusion section.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
The revised manuscript may be accept in present form.
