Sustentabilidade, Sociedade, Tecnologia e Inovação
Autores
Nome
1 - Tomás Almeida Andretto Giribaldi Fundação Instituto de Administração - FIA - Pinheiros
2 - Gleriani Torres Carbone Ferreira FACULDADE FIA DE ADMINISTRAÇÃO E NEGÓCIOS (FFIA) - BUTANTA
3 - Mauricio Jucá de Queiroz Fundação Instituto de Administração - FIA - Nações Unidas - Birmann 21
Reumo
By 2030, the amount of people will be 8.6 billion and grow by 2 billion by 2050, reaching 9.7 billion people (United Nations 2019). Projections also indicate that population growth will trigger a 30% increase in the middle class and consequently a rural exodus, which will contribute to more than 70% of the population moving to urban areas (FAO 2019). As the population increases, the demand for energy, food, products, and housing will also increase, and the production of municipal solid waste is expected to rise to 2.2 billion tons, doubling in volume by 2025 (TWB 2012).
The construction activities consume 32% of the world’s resources (Yeheyis et al. 2013). Worldwide buildings account for up to 40% of waste consumed (by volume), approximately 40% of waste generation (by volume) (Becqué et al. 2016) and contribute 20% to 35% to environmental impacts such as global warming and air pollution formation. Furthermore, since 1949, the sector's energy consumption has increased by 72%, accounting for 19% of global energy consumption (Azari and Abbasabadi 2018).
Twenty-three years after the introduction of the 3R's, with the recording of various technological and economic advances, the "ReSOLVE" structure emerges, formed by the acronym of the English terms regenerate, share, optimize, loop, virtualize, and exchange.Consequently, managing big data for the Circular Economy can help unlock greater potential for circularity (Lieder and Rashid 2016). Insights can be generated from understanding levels of integration between Circular Economy models centered on the ReSOLVE theory and big data (Jabbour et al. 2019).
As a result, a roadmap emerges about the steps to be taken to obtain sustainable certification for buildings, accompanied by the expansion of strategies to be applied to optimize the score of the enterprise. It was possible to identify strategies that can be implemented to solve barriers and improve the circular economy concept with different levels of integration by the big data model (volume, variety, velocity and veracity). In terms of innovation, was not possible to perceive a great movement in innovations of techniques, methods, and materials used in this sector.
In this work we reviewed the existing literature with the main goal of providing evidence to the environmental and circular economy in civil construction expanding their principles to ReSOLVE, So, the research results corroborate Hopkinson et al. (2019) as it was not possible to perceive a great movement in innovations of techniques, methods, and materials used in this sector. According to the interviewees, innovations are often not used due to the great loss of quality when compared to the methods or materials used customarily.
EMF – Ellen MacArthur Foundation. (2017) Cities in the circular economy: an initial exploration. Ellen MacArthur Foundation.
Hopkinson P, Chen HM, Zhou K, Wang Y & Lam D. (2019) Recovery and reuse of structural products from end-of-life buildings. Proceedings of the Institution of Civil Engineers – Engineering Sustainability.
Jabbour, C. J. C., Jabbour, A. B. L. S., Sarkis, J., & Godinho Filho, M. (2019) Unlocking the circular economy through new business models based on large-scale data: an integrative framework and research agenda. Technological Forecasting and Social Change.