Article Sidebar

Download
PDF
Statistic
Read Counter : 37 Download : 22

Main Article Content

Abstract

Effective waste management is a critical global concern, especially in urban areas where efficient systems are essential for reducing litter, minimizing environmental contamination, and enhancing urban aesthetics. This study presents a comprehensive framework for optimizing waste management in Kathmandu Municipality, focusing on the spatial allocation of collection points, bin requirements, and predictive waste level modeling. This approach is based on the primary parameters of the rate at which waste is generated, the capacity of a bin, the density of waste, and the frequency of collection. The model also accommodates waste segregation-this means effective bin deployment across categories of waste to avoid wasting resources. It includes a time-series forecasting model, simulating waste accumulation for 7 days with seasonality influences, holiday influence, fluctuation of the population, and socio-economic influence. Trend of generation waste is reported at an interval of 6 hours in order to enhance precision within the schedule of collecting wastes. Lower risk of overflow of the bins due to the services before bins overflow. This holistic framework shall consequently provide data-driven scalable solutions to Kathmandu Municipality in optimizing its routes for collecting wastes, enhancing resource efficiency, and adapting the patterns of producing wastes on a real-time basis.

Keywords

Waste Management Waste Collection Point location-allocation Bin location-allocation Sustainability Kathmandu Municipality

Article Details

How to Cite
Shah, K. B., Visalakshi, S., & Panigrahi, R. . (2025). AI-enabled geospatial solutions for waste collection and forecasting for smart cities application: insights from Kathmandu municipality. Future Technology, 4(1), 37–49. Retrieved from https://fupubco.com/futech/article/view/251
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX
Bookmark and Share

References

  1. R. P. Singh and M. J. Dhakal, “Problems and Prospects of Urbanization in Kathmandu Valley,” International Journal of Atharva, vol. 2, no. 1, pp. 19–33, Mar. 2024, doi: 10.3126/IJA.V2I1.62821.
  2. N. Labra Cataldo, M. Oyinlola, S. Sigdel, D. Nguyen, and A. Gallego-Schmid, “Waste Management in Nepal: Characterization and Challenges to Promote a Circular Economy,” Circular Economy and Sustainability, vol. 4, no. 1, pp. 439–457, Mar. 2024, doi: 10.1007/S43615-023-00283-0/TABLES/2.
  3. R. Khadka, M. Safa, A. Bailey, B. KC, and R. Poudel, “Factors Influencing Municipal Solid Waste Generation and Composition in Kathmandu Metropolitan City, Nepal,” International Journal of Scientific and Research Publications (IJSRP), vol. 11, no. 1, pp. 520–535, Dec. 2020, doi: 10.29322/IJSRP.11.01.2021.P10961.
  4. K. B. Shah, S. Visalakshi, K. C. Avinash Khatri, and R. Panigrahi, “Current scenarios, obstacles, possibilities, and innovations for sustainable municipal solid waste management following COVID-19 pandemic in Kathmandu valley, Nepal,” 2022 2nd International Conference on Computer Science, Engineering and Applications, ICCSEA 2022, 2022, doi: 10.1109/ICCSEA54677.2022.9936305.
  5. N. Labra Cataldo, M. Oyinlola, S. Sigdel, D. Nguyen, and A. Gallego-Schmid, “Waste Management in Nepal: Characterization and Challenges to Promote a Circular Economy,” Circular Economy and Sustainability, vol. 4, no. 1, pp. 439–457, Mar. 2024, doi: 10.1007/S43615-023-00283-0/TABLES/2.
  6. D. Hoornweg and P. Bhada-Tata, “What a waste: a global review of solid waste management,” 2012.
  7. R. Vijay, A. Gautam, A. Kalamdhad, A. Gupta, and S. Devotta, “GIS-based locational analysis of collection bins in municipal solid waste management systems,” https://doi.org/10.1139/S07-033, vol. 7, no. 1, pp. 39–43, Jun. 2015, doi: 10.1139/S07-033.
  8. D. Purkayastha and S. Chakrabarti, “Collection and recycle bin location-allocation problem in solid waste management: A review,” 2015.
  9. D. Khan and S. R. Samadder, “Allocation of solid waste collection bins and route optimisation using geographical information system: A case study of Dhanbad City, India,” Waste Management and Research, vol. 34, no. 7, pp. 666–676, Jul. 2016, doi: 10.1177/0734242X16649679.
  10. D. Purkayastha, M. Majumder, and S. Chakrabarti, “SUITABILITY INDEX FOR COLLECTION BIN ALLOCATION USING ANALYTICAL HIERARCHY PROCESS (AHP) CASCADED TO ARTIFICIAL NEURAL NETWORK (ANN),” Detritus 2018 - Volume , vol. 9, no. 9, p. 38, Nov. 2019, doi: 10.31025/2611-4135/2019.13867.
  11. S. D. Kashid, A. D. Nagne, and K. V Kale, “SOLID WASTE MANAGEMENT: BIN ALLOCATION AND RELOCATION BY USING REMOTE SENSING & GEOGRAPHIC INFORMATION SYSTEM,” IJRET: International Journal of Research in Engineering and Technology, pp. 2321–7308, Accessed: Sep. 21, 2024. [Online]. Available: http://www.ijret.org
  12. R. Vijay, A. Gupta, A. S. Kalamdhad, and S. Devotta, “Estimation and allocation of solid waste to bin through geographical information systems,” https://doi.org/10.1177/0734242X05057763, vol. 23, no. 5, pp. 479–484, Oct. 2005, doi: 10.1177/0734242X05057763.
  13. A. Jędrczak, J. Połomka, and W. Dronia, “Seasonal variability of the quantity and morphological composition of generated waste and selectively collected waste,” Waste Management & Research, vol. 41, no. 8, pp. 1349–1359, Feb. 2023, doi: 10.1177/0734242X231154142.
  14. S. Eslami, G. Kabir, and K. T. W. Ng, “Waste Generation Modeling Using System Dynamics with Seasonal and Educational Considerations,” Sustainability 2023, Vol. 15, Page 9995, vol. 15, no. 13, p. 9995, Jun. 2023, doi: 10.3390/SU15139995.
  15. M. Baihaqi, M. Y. Baihaqi, W. Wijaya, M. A. R. Widyoko, and T. Wikaningrum, “THE PROSPECT OF USING SMART DUSTBIN FOR REDUCING GARBAGE PICK UP TIME (A SIMULATION IN PADANG CITY),” Journal of Environmental Engineering and Waste Management, vol. 3, no. 2, pp. 61–67, Nov. 2018, doi: 10.33021/jenv.v3i2.439.
  16. S. Eslami, G. Kabir, and K. T. W. Ng, “Waste Generation Modeling Using System Dynamics with Seasonal and Educational Considerations,” Sustainability 2023, Vol. 15, Page 9995, vol. 15, no. 13, p. 9995, Jun. 2023, doi: 10.3390/SU15139995.
  17. C. M. Mutshinda, A. Mishra, Z. V. Finkel, and A. J. Irwin, “Density regulation amplifies environmentally induced population fluctuations,” PeerJ, vol. 11, p. e14701, Feb. 2023, doi: 10.7717/PEERJ.14701/SUPP-1.
  18. R. N. Shpakova, D. I. Gorodetskiy, and S. K. Mustafin, “Model to Predict Waste Generation Within the Context of Sustainable Development: The Example of the Regions in the Far East of the Russian Federation,” Advances in Global Change Research, vol. 73, pp. 527–537, 2023, doi: 10.1007/978-3-031-19979-0_54.
  19. Z. M. Nopiah, F. Zulkipli, N. E. A. Basri, and C. J. Kie, “A Study of Waste Generation Prediction using Correlation and Multiple Regression Analyses,” International Journal of Industrial Engineering, Technology & Operations Management, vol. 1, no. 2, pp. 54–57, Dec. 2023, doi: 10.62157/IJIETOM.V1I2.27.
  20. M. Agovino, A. Garofalo, and A. Mariani, “Effects of environmental regulation on separate waste collection dynamics: empirical evidence from Italy,” J Clean Prod, vol. 124, pp. 30–40, Jun. 2016, doi: 10.1016/J.JCLEPRO.2016.02.082.
  21. H. Ma, M. Li, X. Tong, and P. Dong, “Community-Level Household Waste Disposal Behavior Simulation and Visualization under Multiple Incentive Policies—An Agent-Based Modelling Approach,” Sustainability 2023, Vol. 15, Page 10427, vol. 15, no. 13, p. 10427, Jul. 2023, doi: 10.3390/SU151310427.
  22. J. M. Weisberg, T. Paglen, and Y. Kountouris, “The influence of local waste management culture on individual recycling behavior,” Environmental Research Letters, vol. 17, no. 7, p. 074017, Jun. 2022, doi: 10.1088/1748-9326/AC7604.
  23. M. Morkunas, Y. Wang, J. Wei, and A. Galati, “Systematic literature review on the nexus of food waste, food loss and cultural background,” International Marketing Review, vol. 41, no. 3–4, pp. 683–716, Jun. 2024, doi: 10.1108/IMR-12-2023-0366/FULL/XML.
  24. “National Population and Housing Census 2021 (National Report) National Statistics Office,” 2021. Accessed: Sep. 20, 2024. [Online]. Available: www.censusnepal.cbs.gov.np
  25. “Population | National Population and and Housing Census 2021 Results.” Accessed: Sep. 20, 2024. [Online]. Available: https://censusnepal.cbs.gov.np/results/population?province=3&district=28&municipality=8
  26. A. Khanal, “Forecasting municipal solid waste generation using linear regression analysis: A case of Kathmandu Metropolitan City, Nepal,” Multidisciplinary Science Journal, vol. 5, no. 2, pp. 2023019–2023019, Apr. 2023, doi: 10.31893/MULTISCIENCE.2023019.