@inproceedings{35d5aba4d3184b1ab0b526897218afab,
title = "Evaluating Key Criteria for Sustainable Urban Waste Management via Best Worst Method",
abstract = "Sustainable urban waste management requires systematic prioritization of key criteria to support efficient decision-making and long-term environmental resilience. This evaluation is important for guiding cities toward efficient, resilient, and environmentally sustainable waste management decisions. This study systematically prioritizes the most critical criteria for sustainable urban waste management using the Best Worst Method (BWM), a recent and efficient decision-making approach. After a thorough review of the existing literature and discussions with experts in the field, nine essential evaluation criteria were pinpointed. An expert panel composed of both academics and practitioners assessed these criteria. The panel selected the most and least important factors. It also provided structured pairwise comparisons. The results show that environmental, public health, and safety are the most critical criteria in urban waste management.",
keywords = "Best worst method, Sustainability, Urban waste management",
author = "Ertugrul Ayyildiz and Selin Yalcin and Nezir Aydin",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 3rd International Conference on Innovative Computing and Cutting-Edge Technologies, ICICCT 2025 ; Conference date: 22-09-2025 Through 25-09-2025",
year = "2026",
doi = "10.1007/978-3-032-19160-1\_32",
language = "English",
isbn = "9783032191595",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "425--433",
editor = "Khalid Raza and Basim Alhadidi and Khan, \{Nayyar Ahmed\}",
booktitle = "Advances in Smart Computing and Emerging Technologies - Proceedings of the 3rd International Conference on Innovative Computing and Cutting-edge Technologies ICICCT 2025",
address = "Germany",
}