Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

<Previous Article In Volume
Next Article In Volume>

Research on Risk Assessment of Government Investment Projects Based on AHP Model

Authors
Guangjun Chen1, *
1Shanghai University of Engineering Science, No. 333 Longteng Road, Songjiang, Shanghai, China
*Corresponding author. Email: cgj2657@126.com
Corresponding Author
Guangjun Chen
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_144How to use a DOI?
Keywords
government investment project; construction agent; risk assessment; AHP model; Y city park
Abstract

[Purpose/Meaning] There are many risks and threats in the process of government investment project construction. Correct understanding and evaluation of these risks is the basis of improving the security ability. [Method/process] From the perspective of risk sources, through the empirical analysis of urban park construction projects in Y city, the main risk sources of government investment projects are identified. Through analyzing the interdependence of indicators, the AHP structure model is established, and the index weight is calculated. [Outcome/conclusion] This paper constructs a risk assessment index system of government investment projects, including 5 first-level indicators and 14 s-level indicators, including environmental risk, economic risk, technical risk, management risk and government risk. Among them, management risk is the most important, followed by technical risk, government risk, economic risk and environmental risk. And government turnover risk, government offside management risk, contract management risk are all very important factors, so we need to focus on these factors.

Copyright
© 2023 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_144
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_144How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Guangjun Chen
PY  - 2023
DA  - 2023/07/26
TI  - Research on Risk Assessment of Government Investment Projects Based on AHP Model
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1342
EP  - 1350
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_144
DO  - 10.2991/978-94-6463-200-2_144
ID  - Chen2023
ER  -