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Revision of Sustainable Road Rating Systems: Selection of the Best Suited System for Hungarian Road Construction Using TOPSIS Method

Author

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  • Réka Szpotowicz (née Nádasi)

    (Department of Highway and Roadway Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Csaba Tóth

    (Department of Highway and Roadway Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

There are a number of sustainable and environmentally friendly techniques and methods currently available in the construction industry. To promote sustainable development, different rating and certificating systems that evaluate the level of sustainability during the development of infrastructure construction projects have been developed. The aim of the research presented in this paper was to examine the applicability of sustainability rating systems in Hungary and find the most suitable option. After a review of commonly used rating systems, i.e., Greenroads, GreenLITES, I-LAST, Envision, and INVEST, the most suitable existing rating system is selected with the help of the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) mathematical decision analysis method. This was achieved by utilizing 12 categories of input data (weights) analyzed through TOPSIS. The input data (weights) of the TOPSIS method were determined by a small research group of industry experts and academic professionals based on Hungarian practices and methodology. As a result of the calculation, the study found that the Envision rating system satisfies the criteria best, closely followed by Greenroads.

Suggested Citation

  • Réka Szpotowicz (née Nádasi) & Csaba Tóth, 2020. "Revision of Sustainable Road Rating Systems: Selection of the Best Suited System for Hungarian Road Construction Using TOPSIS Method," Sustainability, MDPI, vol. 12(21), pages 1-28, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8884-:d:435012
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    References listed on IDEAS

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    1. Liang Zhang & Xubing Zhang & Shenggu Yuan & Kai Wang, 2021. "Economic, Social, and Ecological Impact Evaluation of Traffic Network in Beijing–Tianjin–Hebei Urban Agglomeration Based on the Entropy Weight TOPSIS Method," Sustainability, MDPI, vol. 13(4), pages 1-18, February.

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