Study on Risk Assessment of Project Site Selection Decision
- DOI
- 10.2991/978-2-494069-31-2_248How to use a DOI?
- Keywords
- Project location; Risk assessment; G1 method; Entropy value method; Grey correlation analysis; TOPSIS method; Multi-objective decision making
- Abstract
Engineering site selection is the starting point and basis point for construction engineering to play its function. The quality of site selection decision is of great significance to the construction of engineering projects and the operation of follow-up facilities. This paper after analysing the four kinds of commonly used evaluation method of the build location decision-making risk assessment model, from the Angle of risk, location index system for using the G1 method and entropy weight method from two aspects of subjective and objective index system for empowerment, using grey correlation analysis and TOPSIS method to comprehensive evaluation, the risk alternative location to determine minimum risk value optional location, This model can provide reference and basis for project location decision.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mingyu LI AU - Yunfeng LU AU - Qinglong WU AU - Chi MA AU - Jinyao GAO PY - 2022 DA - 2022/12/29 TI - Study on Risk Assessment of Project Site Selection Decision BT - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022) PB - Atlantis Press SP - 2106 EP - 2114 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-31-2_248 DO - 10.2991/978-2-494069-31-2_248 ID - LI2022 ER -