Behavioral Engineering Model to Identify Risks of Losses in the Construction Industry

Borkovskaya, Victoria; Passmore, David

doi:10.1007/978-3-030-15577-3_24

Cited by 37 publications

(16 citation statements)

References 19 publications

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“…Therefore, the resolution of issues of intergovernmental fiscal relations, as well as the implementation of large-scale socio-economic programs, are the most important directions for reducing regional risks in housing and communal services. [8][9] Separately, it is necessary to note the high legal risks caused by historical features of the object of servicing the municipal housing stock, which is represented mostly by multi-store apartment houses. These houses are the property of the municipality, which partially leases them, as well as private property of citizens who have privatized their apartments.…”

Section: Resultsmentioning

confidence: 99%

Project Management Risks in the Sphere of Housing and Communal Services

Borkovskaya

2018

MATEC Web Conf.

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This paper shows a project risk management system model allowing enterprises to better identify risks in the sphere of housing and communal services and to manage them throughout the life cycle of the project. It shows the most popular methods of risk probability assessment and tries to indicate the advantages of the robust approach over the traditional methods. Modern development of project management as well as the accumulated knowledge and experience in this field made it possible to integrate project management knowledge into a single system model. Within the framework of this model, standard and robust approaches are applied and expanded for the tasks of project data analysis. The suggested algorithms used to assess the parameters in statistical models allow to obtain reliable estimates. In this study, the classification of risks was determined by the degree of relevance. I conducted an analysis of statistical data, such as requests for maintenance of housing stock of different service lives. The frequency of failures in the work of housing organizations was determined and the probability of accidents was calculated. Taking into account these calculations, the housing stock was graded according to the degree of admissibility of the risk of its maintenance.

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Section: Resultsmentioning

confidence: 99%

Project Management Risks in the Sphere of Housing and Communal Services

Borkovskaya

2018

MATEC Web Conf.

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“…Because surface mining of coal shares similar processes, equipment, and technologies with work to prepare construction sites, launching a line of inquiry about topic model differences between on MSHA text narratives and construction injury narratives assembled by the U.S. Occupational Safety and Health Administration might prove fruitful for injury prevention efforts for both industries. Additional risk analysis approaches might also prove advantageous for analysis of the risks of coal mine injuries [29,30].…”

Section: Discussionmentioning

confidence: 99%

An exploration of text mining of narrative reports of injury incidents to assess risk

et al. 2018

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A topic model was explored using unsupervised machine learning to summarized free-text narrative reports of 77,215 injuries that occurred in coal mines in the USA between 2000 and 2015. Latent Dirichlet Allocation modeling processes identified six topics from the free-text data. One topic, a theme describing primarily injury incidents resulting in strains and sprains of musculoskeletal systems, revealed differences in topic emphasis by the location of the mine property at which injuries occurred, the degree of injury, and the year of injury occurrence. Text narratives clustered around this topic refer most frequently to surface or other locations rather than underground locations that resulted in disability and that, also, increased secularly over time. The modeling success enjoyed in this exploratory effort suggests that additional topic mining of these injury text narratives is justified, especially using a broad set of covariates to explain variations in topic emphasis and for comparison of surface mining injuries with injuries occurring during site preparation for construction.

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“…The process of resettlement of residents also carries administrative risks associated with the coordination of the project, documentation and other initial permits. Such risks can be divided into the following categories [20][21][22]: -risks associated with the planning of the resettlement process; -risks associated with the formulation of tasks in the technical specifications for the design of the object; -risks associated with the coordination of resettlement and resettlement in new homes; -risks associated with insufficient planning of the flow of relocation to existing homes.…”

Section: Methodsmentioning

confidence: 99%

“…Currently, the organization and management of renovation processes is carried out using information technology, which is a system-organized sequence of operations performed on information using tools and methods of automation (see Figure 3). One of the systemforming elements for the renovation program is the developed database "Buildings included in the program of renovation of the second wave" [10,22]. The database is designed to assess the physical and moral deterioration and forecast the period of dismantling of buildings.…”

Section: Methodsmentioning

confidence: 99%

Integration of organizational-technological and social aspects in the realization of the program of renovation of residential development

2018

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The renovation program is designed to solve a complex of problems of the city, the priority of which is a comfortable ratio of building density and developed infrastructure. The draft regional standards for urban planning has been developed for a pragmatic and at the same time comfortable layout of buildings (urban blocks) with an infrastructural core. Nevertheless, such an approach contains a number of administrative risks that can be minimized by carrying out proper planning and execution within a scheduled time frame. To improve planning accuracy, it is possible to use a system-organized block diagram consisting of integrated resettlement units. To select the optimal relocation option, it is important to carry out a multivariate analysis.

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Behavioral Engineering Model to Identify Risks of Losses in the Construction Industry

Cited by 37 publications

References 19 publications

Project Management Risks in the Sphere of Housing and Communal Services

Project Management Risks in the Sphere of Housing and Communal Services

An exploration of text mining of narrative reports of injury incidents to assess risk

Integration of organizational-technological and social aspects in the realization of the program of renovation of residential development

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