SavedAdd your journal

Journals / International Journal of Environment and Geoinformatics / 2026 / Volume: 13 Issue: 2

A Data-Driven Framework for Smart Waste Collection Point Location Selection in Seasonal Tourism Destinations: The Case of Bodrum

Merve Asiloğulları Ayan(NATIONAL DEFENSE UNIVERSITY)0000-0001-7522-0911
Pages
—
Publication Date
2026-06-19
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Three different seasonal cases and twenty sensitivity tests show that A6 (Gümbet Beach Entrance), A8 (Gümbet Hotel Zone North), and A1 (Bodrum City Center Bazaar) are top priority locations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Bodrum’s population increases four to five times its registered population during the summer months, significantly growing during this period.
📊
Key Findings & Data:The proposed model consists of three components, namely: (1) Spatial data acquisition using OpenStreetMap, (2) Hybrid criterion weighting through the combination of weighting based on synthesis of existing literature results with the CRITIC method, and (3) Alternative ranking through the use of the TOPSIS method.
💡
Conclusion & Impact:Three different seasonal cases and twenty sensitivity tests show that A6 (Gümbet Beach Entrance), A8 (Gümbet Hotel Zone North), and A1 (Bodrum City Center Bazaar) are top priority locations.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:smart waste management · location selection · CRITIC

Abstract

Bodrum’s population increases four to five times its registered population during the summer months, significantly growing during this period. Therefore, Bodrum needs to plan municipal services for a temporary population rather than a permanent one. Therefore, from a waste management perspective, the fact that the existing collection infrastructure has been primarily built according to residential usage patterns will lead to environmental pollution and waste overflow incidents during peak tourism seasons. The current research introduces a hybrid MCDM approach for selecting the best locations for smart waste collection points in Bodrum, Turkey, through both literature and data-based criterion weighting. The proposed model consists of three components, namely: (1) Spatial data acquisition using OpenStreetMap, (2) Hybrid criterion weighting through the combination of weighting based on synthesis of existing literature results with the CRITIC method, and (3) Alternative ranking through the use of the TOPSIS method. Since there is not enough information regarding population density (C1) in OSM maps, nine other criteria were assessed. Three different seasonal cases and twenty sensitivity tests show that A6 (Gümbet Beach Entrance), A8 (Gümbet Hotel Zone North), and A1 (Bodrum City Center Bazaar) are top priority locations.

🔖

Cite This Article

Ayan, M. A. (2026). A Data-Driven Framework for Smart Waste Collection Point Location Selection in Seasonal Tourism Destinations: The Case of Bodrum. International Journal of Environment and Geoinformatics, Volume: 13 Issue: 2. https://doi.org/10.26650/ijegeo.1937946

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (22)

  1. Addas, A., Khan, M.N., & Naseer, F. (2024). Waste management 2.0 leveraging internet of things for an efficient and eco-friendly smart city solution. PLOS ONE, 19(7), e0307608. https://doi.org/10.1371/journal.pone.0307608
  2. Arbulú, I., Rey-Maquieira, J., & Sastre, F. (2024). The impact of tourism and seasonality on different types of municipal solid waste (MSW) generation: The case of Ibiza. Heliyon, 10(13), e33894. https://doi.org/10.1016/j.heliyon.2024.e33894
  3. Ayyildiz, E., & Erdogan, M. (2025). Literature analysis of the location selection studies related to the waste facilities within MCDM approaches. Environmental Science and Pollution Research, 32, 19574–19595. https://doi.org/10.1007/s11356-024-34370-y
  4. Boeing, G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65, 126–139. https://doi.org/10.1016/j.compenvurbsys.2017.05.004
  5. Burak, S., Doğan, E., & Gazioğlu, C. (2004). Impact of urbanization and tourism on coastal environment. Ocean & Coastal Management, 47(9–10), 515–527. https://doi.org/10.1016/j.ocecoaman.2004.07.007
  6. Çalış Boyacı, A., Şişman, A., & Sarıcaoğlu, K. (2021). Site selection for waste vegetable oil and waste battery collection boxes: A GIS-based hybrid hesitant fuzzy decision-making approach. Environmental Science and Pollution Research, 28, 17431–17444. https://doi.org/10.1007/s11356-020-12080-5
  7. Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763–770. https://doi.org/10.1016/0305-0548(94)00059-H
  8. Diaz-Farina, E., Díaz-Hernández, J.J., & Padrón-Fumero, N. (2020). The contribution of tourism to municipal solid waste generation: A mixed demand-supply approach on the island of Tenerife. Waste Management, 102, 587–597. https://doi.org/10.1016/j.wasman.2019.11.023
  9. Ecer, F., & Pamucar, D. (2022). A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy. International Journal of Energy Research, 46(4), 4479–4506. https://doi.org/10.1002/er.7512
  10. Habib, A.M. (2024). A novel multi-criteria framework for selecting optimal sites for electric vehicle charging stations from a sustainable perspective: Evidence from India. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-05746-4
  11. Hwang, C.L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Springer. https://doi.org/10.1007/978-3-642-48318-9
  12. Krishnan, A.R., Hamid, R., & Kasim, M.M. (2021). A modified CRITIC method to estimate the objective weights of decision criteria. Symmetry, 13(6), 973. https://doi.org/10.3390/sym13060973
  13. Mihiretie, A. (2022). Suitable Solid Waste Disposal Site Selection Using Geographical Information System: A Case of Debre Markos Town, Ethiopia. International Journal of Environment and Geoinformatics, 9(2), 1-8.https://doi.org/10.30897/ijegeo.784087
  14. Muğla İl Kültür ve Turizm Müdürlüğü. (2023). Muğla ili turizm istatistikleri 2023 yıllık raporu [Muğla province tourism statistics 2023 annual report] (in Turkish). T.C. Kültür ve Turizm Bakanlığı. https://mugla.ktb.gov.tr
  15. Rathore, P., Sarmah, S.P., & Singh, A. (2020). Location-allocation of bins in urban solid waste management: A case study of Bilaspur city, India. Environment, Development and Sustainability, 22, 3309–3331. https://doi.org/10.1007/s10668-019-00347-y
  16. Seker, S. (2022). IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment. Technology in Society, 71, 102100. https://doi.org/10.1016/j.techsoc.2022.102100
  17. Sosunova, I., & Porras, J. (2022). IoT-enabled smart waste management systems for smart cities: A systematic review. IEEE Access, 10, 73326–73363. https://doi.org/10.1109/ACCESS.2022.3188308
  18. Szpilko, D., de la Torre Gallegos, A., Jimenez Naharro, F., Rzepka, A., & Remiszewska, A. (2023). Waste management in the smart city: Current practices and future directions. Resources, 12(10), 115. https://doi.org/10.3390/resources12100115
  19. TÜİK. (2023). Adrese dayalı nüfus kayıt sistemi sonuçları 2023 [Address-based population registration system results 2023] (in Turkish). Türkiye İstatistik Kurumu. https://data.tuik.gov.tr/Bulten/Index?p=Adrese-Dayali-Nufus-Kayit-Sistemi-Sonuclari-2023-49684
  20. Voukkali, I., Loizia, P., Navarro Pedreño, J., & Zorpas, A.A. (2021). Urban strategies evaluation for waste management in coastal areas in the framework of area metabolism. Waste Management & Research, 39(3), 448–465. https://doi.org/10.1177/0734242X20972773
  21. Yuxi, Z., Filimonau, V., Ling-en, W., & Linsheng, Z. (2023). The impact of tourism on municipal solid waste generation in China. Journal of Cleaner Production, 427, 139294. https://doi.org/10.1016/j.jclepro.2023.139294
  22. Ziemba, P., Wątróbski, J., Zioło, M., & Karczmarczyk, A. (2021). Using the TOPSIS method for smart city ranking in the context of urban energy. Energies, 14(9), 2691. https://doi.org/10.3390/en14092691