Abstract
Of landfilled municipal solid waste in Hong Kong, 33.2% is attributed to food waste. The government has set a waste reduction target to reduce by 40% the current food waste disposal at landfills by 2022 and has launched various policies and strategies to achieve this target. The Hong Kong Government is eager to control the utilisation level of food waste through various policies and the food waste conversion by a newly adopted Organic Waste Treatment Facility. In this study, the current landfill situation and the effectiveness of food waste policies are investigated using a system dynamics approach to study the dynamics and interrelationships in food waste management. The model is used to forecast the effectiveness of the food waste management in different scenarios. Among these scenarios, adopting Organic Waste Treatment Facility and implementing a quantity–volume-based charging scheme are examined. Although improvements are expected to be made after implementing these policies when compared to the current trends, the model output indicates that without any other new policy or action plan, it is difficult to achieve the objectives set by the government. Suggestions are made so as to improve the effectiveness of food waste management in the future.
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Acknowledgements
The research was supported by The Hong Kong Polytechnic University. Our gratitude is also extended to the Research Committee and the Department of Industrial and Systems Engineering of the Hong Kong Polytechnic University.
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Appendix
Appendix
Appendix A: Structure of the stock flow diagram in the model
Appendix B: Variables affecting food waste generation
See Table 2.
Appendix C: Parameters used in the simulation model
Appendix D: The results for model analysis
See Figs. 10, 11 and Tables 5, 6, 7 and 8.
Appendix E: Sensitivity analysis
Appendix F: Model equations
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Lee, C.K.M., Ng, K.K.H., Kwong, C.K. et al. A system dynamics model for evaluating food waste management in Hong Kong, China. J Mater Cycles Waste Manag 21, 433–456 (2019). https://doi.org/10.1007/s10163-018-0804-8
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DOI: https://doi.org/10.1007/s10163-018-0804-8