Liang Ou

Dr. Liang Ou


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 July 2022 in Computational Intelligence and Neuroscience
Verified
Journal Article
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LOLiang Ou
Liang Ou
YCYun Chen
Yun Chen
JZJing Zhang
Jing Zhang
CMChongsen Ma
Chongsen Ma
The factors affecting urban rail tunnel construction projects are very complex and are influenced by many factors such as the social environment, the construction process, and the way construction is managed. These influencing factors interact with each other, leading to the complexity of the development risks of this type of project. However, at present, the research on engineering construction risk is mainly focused on the field of housing construction, and there are few researches on the risk of urban tunnel construction. At the same time, with the continuous development of urbanization, the coverage of urban underground rail transport is increasing, so it is of great theoretical and practical significance to study the construction process of urban underground tunnels. This paper uses the literature collection method and the LDA model to initially identify the impact factors, and on this basis, the final set of evaluation impact factors is determined by means of expert interviews. Based on the set of influencing factors, the Dematel-ISM model was used to obtain a comprehensive analysis of the factors affecting urban rail tunnel construction projects by comparing topological maps and obtaining a Dematel-ISM model diagram with a cause-effect reachable hierarchy. Finally, the results obtained are applied to the actual development to verify the validity of the model. The results of the study show that construction operation, sequence arrangement, and procedure selection are the key influencing factors for safety risks in urban rail tunnel construction projects.

1 January 2022 in Discrete Dynamics in Nature and Society
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Journal Article
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CMChongsen Ma
Chongsen Ma
YCYun Chen
Yun Chen
LOLiang Ou
Liang Ou
KJKangyang Jiang
Kangyang Jiang
Currently, in China, the bidding processes for government socioenvironmental projects face threats of collusion between officials and vendors. This study introduces a coupling and coordination degree‐measurement model to study the relationship between the quality of vertical collusion controls and the socioenvironmental system of China based on bidding data taken from 2006 to 2020. The coupling degree describes the socioeconomic influence felt between systems, and the coordination degree refers to their sustainable focused cooperation and mutual influence. The criteria importance through intercriteria correlation method was used to quantify these degrees. To smooth out periods of missing data, the autoregressive integrated moving average model was employed, and the first‐order, one‐variable, time‐series forecasting method was then used to project the trend to 2025. The results revealed that the quality of vertical collusion controls based on the degrees of coupling and coordination between external socioenvironmental and public investment systems ranged from 0.151 to 0.700. Dissonance was detected from 2006 to 2015, but the overall coupling degree has been on an upward trend, peaking in 2020. Currently, the quality of vertical collusion controls is in its primary coordination stage, although it is improving rapidly. From the projected years, both coupling and coordination degrees will enter an intermediate coordination stage by 2022, when the growth rate of the coupling degree is overtaken by that of the coordination degree, as long as active strategies are applied to harmonize the systems in terms of anticollusion measures.

1 January 2021 in Advances in Civil Engineering
Verified
Journal Article
Open access
PDF file
LOLiang Ou
Liang Ou
CMChongsen Ma
Chongsen Ma
YCYun Chen
Yun Chen
JZJing Zhang
Jing Zhang
With the improvement of China’s comprehensive national strength, more and more construction enterprises began to undertake overseas construction projects. Under the premise of the epidemic situation and the increasingly severe international situation, it is of great significance to study the risk control of overseas transportation infrastructure construction. This paper constructs the risk influencing factor model of overseas transportation infrastructure development risk in the new form from six aspects, that is, decision‐making risk, design and planning risk, construction risk, operation risk, government risk, and force majeure, and uses the interpretative structure model and fuzzy comprehensive evaluation method. The key factors affecting the risk of overseas transportation foundation design and development are studied, and the adaptive solutions are put forward.