| Title |
A mathematical programming model integrating waste pickers in urban area recycling practice |
| ID_Doc |
21823 |
| Authors |
Lin, HY |
| Title |
A mathematical programming model integrating waste pickers in urban area recycling practice |
| Year |
2024 |
| Published |
|
| DOI |
10.1016/j.cacint.2024.100158 |
| 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. |
| Author Keywords |
Circular economy; Household waste recycling; Service distance; Sustainable development goals; Public-private partnership |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001261310400001 |
| WoS Category |
Environmental Sciences; Environmental Studies; Meteorology & Atmospheric Sciences |
| Research Area |
Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences |
| PDF |
https://doi.org/10.1016/j.cacint.2024.100158
|