Social Dynamics of Littering and Adaptive Cleaning Strategies Explored Using Agent-Based Modelling
Ruggero Rangoni () and
Wander Jager ()
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Wander Jager: http://www.rug.nl/w.jager
Journal of Artificial Societies and Social Simulation, 2017, vol. 20, issue 2, 1
In this paper we explore how social influence may cause a non-linear transition from a clean to a littered environment, and what strategies are effective in keeping a street clean. To study this, we first implement the Goal Framing Theory of Lindenberg and Steg (2007) in an agent based model. Next, using empirical data from a field study we parameterise the model so we can replicate the results from a field study. Following that, we explore how different cleaning strategies perform. The results indicate that an adaptive/dynamical cleaning regime is more effective and cheaper than pre-defined cleaning schedules.
Keywords: Littering; Goal Frame Theory; Tipping Point; Norms (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2015-67-3
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