Abstract
Smart technologies and solutions have represented an increasing growth in every industry over the last decade . Many of the smart solutions are focused on improvement with a view to sustainability. The basis of smart solutions is advanced technologies and interactive systems that respond to changed conditions. These technologies are increasingly being implemented in the field of construction and intelligent buildings or urban areas. The construction industry shows great possibilities for the implementation of smart and progressive technologies. However, construction projects represent a volume-intensive investment. The same applies to the implementation of smart solutions, which, however, can also provide savings. This needs to be evaluated very much. It is necessary to use evaluation methods of investments in these solutions. This paper is largely devoted to the evaluation methods of investments in mobile applications and smart technology in the construction industry. The research aims to conduct an overview of evaluation methods of investments to smart technology in construction projects. Research also describes examples of the use of specific smart solutions in the construction industry and urban planning. The output of the research is an overview of Evaluation methods of investments, which can be applied and used in assessing investments in advanced technologies in construction.
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Acknowledgment
The article presents a partial research result of project KEGA 059TUKE-4/2019 “M-learning tool for intelligent modelling of site structure parameters in a mixed reality environment”.
This work was supported by the Slovak Research and Development Agency under the contract no. APVV-17- 0549.
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Mandičák, T., Mésároš, P., Behúnová, A., Behún, M., Tkáč, M. (2021). Evaluation Methods of Investments to Mobile Applications and Smart Technology in Construction Projects. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 382. Springer, Cham. https://doi.org/10.1007/978-3-030-78459-1_28
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