Building information modelling (BIM) represents the process of development and use of a computer generated model to simulate the planning, design, construction and operation of a building. The utilisation of building information models has increased in recent years due to their economic benefits in design and construction phases and in building management. BIM has been widely applied in the design and construction of new buildings but rarely in the management of existing ones. The point of creating a BIM model for an existing building is to produce accurate information related to the building, including its physical and functional characteristics, geometry and inner spatial relationships. The case study provides a critical appraisal of the process of both collecting accurate survey data using a terrestrial laser scanner combined with a total station and creating a BIM model as the basis of a digital management model. The case study shows that it is possible to detect and define facade damage by integration of the laser scanning point cloud and the creation of the BIM model. The paper will also give an overview of terrestrial laser scanning (TLS), total station surveying, geodetic survey networks and data processing to create a BIM model.

Multi-attribute analysis is a popular tool in many economical, managerial, constructional etc. problems. This document provides a review of international and national practices in investment decision support tools in bridges and road quality management. Cost benefit analysis and multi-attribute analysis are principal methodologies in supporting decision-making in bridges and road quality management. The complexity of the applications shows significant differences in international practices. There are continuing discussions amongst practitioners and researchers, regarding to which one is more appropriate in supporting decision-making. It is suggested that more than one approach should be regarded as complementary instead of competitive means. Multi-attribute analysis may be particularly helpful in early stages of project development, strategic planning. Cost benefit analysis is used most widely for project prioritization and selecting the final project from a set of alternatives. These methodologies are applicable to the problems with large numbers of scenarios and attributes. The research has concluded that multi-attribute decision-making methods are very useful for bridge and road construction.

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Accidents in construction industry have the major negative impacts in many countries. The objectives of this paper are: (1) examine the current safety practices in Indian construction industry (2) identify the causes of accidents (3) recommend solutions to improve safety performance at Indian construction workplace. Interviews were conducted with experienced professionals in Indian construction industry. Results indicated that accidents were caused by the combination of organizational and individual factors. Based on these findings, it was suggested that adoption of information technologies in various ways would help to reduce accidents by addressing the following issues (1) safety planning, (2) safety education and (3) safety monitoring.

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