A mathematical programming model integrating waste pickers in urban area recycling practice

IF 3.9 Q2 ENVIRONMENTAL SCIENCES City and Environment Interactions Pub Date : 2024-06-19 DOI:10.1016/j.cacint.2024.100158
Hung-Yueh Lin
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Abstract

Urbanization has resulted in a significant accumulation of waste in densely populated areas. Effective household waste separation practices within urban areas are crucial for advancing the concept of circular economy. The informal system has contributed remarkably to urban material circulation, but it has not been appropriately valued. Through the partnership among the municipal solid waste authorities, condominium building residents, and waste pickers, the latter can be engaged in the community to assist in household waste separation. This initiative would not only enhance their income and reduce probable occupational risks but also augment the recycling rate in the community. Based on the insights from the current waste picker assignment policy in Taichung City, this study has established a mathematical programming model by considering the overall waste separation volume and proximal distance to the neighborhood, facilitating the assignment of individual waste picker to multiple communities within the neighborhood area. Consequently, concerned waste pickers may increase their income and avoid the constraints of picking up recyclables in high-occupational-risk areas. Additionally, it may reduce the volume of unsorted garbage in the community. According to the findings of case studies, the developed model could obtain an optimal solution or acceptable approximate solution in a short timeframe. In contrast to the outcomes from the existing waste picker assignment policy, the application of the developed model could increase the total volume of sorted recyclables, which was directly proportional to the income of waste pickers, by 2.3–2.6 times.

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将拾荒者纳入城市地区回收实践的数学编程模型
城市化导致垃圾在人口稠密地区大量堆积。在城市地区实行有效的家庭垃圾分类对于推进循环经济理念至关重要。非正规系统为城市物质循环做出了巨大贡献,但却没有得到应有的重视。通过城市固体废物管理部门、公寓楼居民和拾荒者之间的合作,可以让后者参与到社区中来,协助进行家庭垃圾分类。这一举措不仅能增加他们的收入,降低可能的职业风险,还能提高社区的回收率。基于对台中市现行拾荒者分配政策的认识,本研究建立了一个数学编程模型,考虑了整体垃圾分类量和与社区的近距离,便于将个体拾荒者分配到社区范围内的多个社区。因此,相关拾荒者可以增加收入,并避免在高职业风险区域拾取可回收物的限制。此外,还可以减少社区内未分类垃圾的数量。根据案例研究的结果,所开发的模型可在短时间内获得最优解或可接受的近似解。与现有拾荒者分配政策的结果相比,应用所开发的模型可将已分类可回收物的总量提高 2.3-2.6 倍,而这与拾荒者的收入成正比。
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来源期刊
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
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