Analysis of Key Influencing Factors of Construction Waste Treatment Based on Statistical Model
- DOI
- 10.2991/icammce-17.2017.37How to use a DOI?
- Keywords
- construction and demolition waste; Solid Waste; Circular Economy; Waste Disposal and Recycling; statistics; environmental pollution; principal component analysis
- Abstract
how to deal with construction and demolition waste is a worldwide problem, especially in developing countries and areas. By analyzing and finding out those key factors that affect the treatment of construction and demolition waste, the author provides theoretical support for local government, enterprises producing construction and demolition waste and disposal establishment holding the development direction and points of handling construction and demolition waste, and it is a piece of pleasurable work. PPS and Principal Component Analysis are used to investigate and survey 738 samples from 13 urban areas in Wuhan, and MATLAB software is employed to solve latent root related to matrix. Besides, the method of SPSS is adopted to make statistical analysis work well in its validity and reliability. It ranks those predominant factors of dealing with construction and demolition waste and draws 5 aspects of important points that affect disposing construction and demolition waste,including all field management show no motivation to disposing of construction and demolition waste.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yihong Xu AU - Ge He PY - 2017/04 DA - 2017/04 TI - Analysis of Key Influencing Factors of Construction Waste Treatment Based on Statistical Model BT - Proceedings of the 2017 2nd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2017) PB - Atlantis Press SP - 178 EP - 186 SN - 2352-5401 UR - https://doi.org/10.2991/icammce-17.2017.37 DO - 10.2991/icammce-17.2017.37 ID - Xu2017/04 ER -