Research on the Process and Types of the Construction Projects

2014 ◽  
Vol 501-504 ◽  
pp. 2664-2667
Author(s):  
Hai Xie ◽  
Xuan Liu

In the fields of architecture and civil engineering, construction is a process that consists of the building or assembling of infrastructure. Far from being a single activity, large scale construction is a feat of human multitasking. Normally, the job is managed by a project manager, and supervised by a construction manager, design engineer, construction engineer or project architect. For the successful execution of a project, effective planning is essential. Those involved with the design and execution of the infrastructure in question must consider the environmental impact of the job, the successful scheduling, budgeting, construction site safety, availability of building materials, logistics, and inconvenience to the public caused by construction delays and bidding.

2019 ◽  
Vol 33 (4) ◽  
pp. 682-699 ◽  
Author(s):  
Jens Arnholtz ◽  
Bjarke Refslund

Transnational workers on large-scale construction projects are often poorly included in national industrial relations systems, which results in employment relations becoming trapped in vicious circles of weak enforcement and precarious work. This article shows how Danish unions have, nonetheless, been successful in enacting existing institutions and organising the construction of the Copenhagen Metro City Ring, despite initially encountering a highly fragmented, transnational workforce and several subcontracting firms that actively sought to circumvent Danish labour-market regulation. This is explained by the union changing their organising and enforcement strategies, thereby utilising various power resources to create inclusive strategies towards transnational workers. This includes efforts to create shared objectives and identity across divergent groups of workers and actively seeking changes in the public owners’ attitude towards employment relations.


2021 ◽  
Author(s):  
Haoran Yan ◽  
Li Wang ◽  
Tiantian Zhang ◽  
Xiangting Jiang ◽  
Sensen Yang ◽  
...  

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Junmin Fang ◽  
Dechun Huang ◽  
Jingrong Xu

With the improvement of citizens’ risk perception ability and environmental protection awareness, social conflicts caused by environmental problems in large-scale construction projects are becoming more and more frequent. Traditional social risk prevention management has some defects in obtaining risk data, such as limited coverage, poor availability, and insufficient timeliness, which makes it impossible to realize effective early warning of social risks in the era of big data. This paper focuses on the three environments of diversification of stakeholders, risk media, and big data era. The evolution characteristics of the social risk of environmental damage of large-scale construction projects are analyzed from the four stages of incubation, outbreak, mitigation, and regression in essence. On this basis, a social risk early warning model is constructed, and the multicenter network governance mode of social risk of environmental damage in large-scale construction projects and practical social risk prevention strategies in different stages are put forward. Experiments show that the long short-term memory neural network model is effective and feasible for predicting the social risk trend of environmental damage of large-scale construction projects. Compared with other classical models, the long short-term memory model has the advantages of strong processing capability and high early warning accuracy for time-sensitive data and will have broad application prospects in the field of risk control research. By using the network governance framework and long short-term memory model, this paper studies the environmental mass events of large-scale construction projects on the risk early warning method, providing reference for the government to effectively prevent and control social risk of environmental damage of large-scale construction project in China.


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