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Use of Gamification Techniques to Encourage Garbage Recycling. A Smart City Approach

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Knowledge Management in Organizations (KMO 2018)

Abstract

One of the main problems in urban environments is the accumulation of waste. A large percentage of waste can be recycled, preventing it from being deposited at landfills or uncontrolled sites, contributing to air, soil and water pollution. Although today’s systems collect and separate different types of waste, a large part of waste is not disposed at recycling centres. In order to increase the amount of waste that is recycled, it is necessary to motivate our society to become involved in recycling activities. For this reason, this paper proposes a system that encourages citizen participation by obtaining reductions in the waste rate applied by their local government, so that the amount of waste collected to be recycled is increased. This system employs a virtual organization of agents that obtains and manages the knowledge of each city and that through gamification techniques produces a change in the habits of citizens, motivating and increasing citizen participation in recycling regardless of the urban environment in which it is implemented. A case study was carried out in order to evaluate the performance of the proposed system, the results show that citizen participation would increase by 32.2% and the amount of recycled waste would increase by 17.2%.

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Acknowledgements

This work has been supported by project “MOVIURBAN: Máquina social para la gestión sostenible de ciudades inteligentes: movilidad urbana, datos abiertos, sensores móviles”. SA070U 16. Project co-financed with Junta Castilla y León, Consejería de Educación and FEDER funds.

The research of Alfonso González-Briones has been co-financed by the European Social Fund (Operational Programme 2014–2020 for Castilla y León, EDU/310/2015 BOCYL).

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Correspondence to Alfonso González Briones .

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Briones, A.G. et al. (2018). Use of Gamification Techniques to Encourage Garbage Recycling. A Smart City Approach. In: Uden, L., Hadzima, B., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2018. Communications in Computer and Information Science, vol 877. Springer, Cham. https://doi.org/10.1007/978-3-319-95204-8_56

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  • DOI: https://doi.org/10.1007/978-3-319-95204-8_56

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