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Community-Level Household Waste Disposal Behavior Simulation and Visualization under Multiple Incentive Policies—An Agent-Based Modelling Approach

Author

Listed:
  • Hancong Ma

    (Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China)

  • Mei Li

    (Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China)

  • Xin Tong

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Ping Dong

    (Geoscence Information Technology Co., Ltd., Beijing 100028, China)

Abstract

The classification and recycling of household waste becomes a major issue in today’s urban environmental protection and domestic waste disposal. Although various policies promoting household waste classification have been introduced, the recovery rate failed to reach the expected result. Existing studies on incentive policies for household waste recycling tried to integrate subjective and objective factors in human behavior decisions. To explore how effective interventions can promote household waste classification in communities, this article developed an Agent-Based Model (ABM) based on Theory of Planned Behavior (TPB) to simulate the participation of households under eight different policy scenarios. The result shows that: monetary incentive is most effective in inducing participation, while social norms have different impacts on household decision under different policy intervention. Under policy stimulus, the participation rate of garbage sorting increased from 18% to 76%. This model has been applied into an online community-based participatory virtual simulation 3D system, which aims to help university students better understand how policies affect household recycling behaviors, which end up affecting the environment.

Suggested Citation

  • Hancong Ma & Mei Li & Xin Tong & Ping Dong, 2023. "Community-Level Household Waste Disposal Behavior Simulation and Visualization under Multiple Incentive Policies—An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10427-:d:1185258
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    References listed on IDEAS

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    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
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    7. Dai, Y.C. & Gordon, M.P.R. & Ye, J.Y. & Xu, D.Y. & Lin, Z.Y. & Robinson, N.K.L. & Woodard, R. & Harder, M.K., 2015. "Why doorstepping can increase household waste recycling," Resources, Conservation & Recycling, Elsevier, vol. 102(C), pages 9-19.
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    1. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.

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