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Volume 37, Issue 1 (2022)
GeoRes 2022, 37(1): 127-139 |
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Received: 2021/11/5 | Accepted: 2021/12/23 | Published: 2022/01/22
Received: 2021/11/5 | Accepted: 2021/12/23 | Published: 2022/01/22
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Farzi Dayeri A, Javid A, Ghaffarzadeh H, Hosseinzadeh Lotfi F. Comparative Study of Separation Management Model from Dry Waste Source with Methods of Referring to the Door of Production Bases and Use of the Reverse Vending Machine in the Western Regions of Tehran. GeoRes 2022; 37 (1) :127-139
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1- Department of Environmental Management, Islamic Azad University, Science and Research Branch, Tehran, Iran
2- Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2- Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract (1703 Views)
Aims: Management of separation of dry waste from the source by providing executive methods and creating appropriate facilities to attract maximum public participation to preserve the environment and sustainable development goals, is important. The main purpose of this study was to compare the source separation management model with the methods of referring to the source of production and using the reverse vending machine in the western regions of Tehran.
Methodology: This research is applied in terms of purpose and in terms of nature and descriptive-survey method, which was conducted to analyze information from the mixed method (qualitative-quantitative) in 2020 in areas 5, 9, 21, and 22 of Tehran Municipality. Due to the spatial nature of the location and due to the inherent uncertainty of urban issues, the basis of this study is to prepare information layers based on factors and criteria affecting the spatial distribution of origin separation management model in the methods of referring to the door of production bases and setting up their devices. Dry waste was collected and combined and overlapped in ARC GIS 10.7 software using hierarchical analysis and fuzzy logic inference.
Findings: Comparative results of the dry waste recycling management model in the western regions of Tehran showed that in the methods of referring to the door of production bases and location of reverse vending machines, 5 and 9 criteria, respectively, are effective in the management model and to implement dry waste separation. From the origin with the method of referring to the source of production and the method of setting up the reverse vending machine, 87% and 66% of the total studied area, respectively, had the optimal productivity.
Conclusion: Considering the importance and necessity of efficient separation of waste from the source, the results of this study show that the implementation of the dry waste management model by referring to the source of production compared to the method of setting up the reverse vending machine It has more efficiency, effectiveness, and scope.
Methodology: This research is applied in terms of purpose and in terms of nature and descriptive-survey method, which was conducted to analyze information from the mixed method (qualitative-quantitative) in 2020 in areas 5, 9, 21, and 22 of Tehran Municipality. Due to the spatial nature of the location and due to the inherent uncertainty of urban issues, the basis of this study is to prepare information layers based on factors and criteria affecting the spatial distribution of origin separation management model in the methods of referring to the door of production bases and setting up their devices. Dry waste was collected and combined and overlapped in ARC GIS 10.7 software using hierarchical analysis and fuzzy logic inference.
Findings: Comparative results of the dry waste recycling management model in the western regions of Tehran showed that in the methods of referring to the door of production bases and location of reverse vending machines, 5 and 9 criteria, respectively, are effective in the management model and to implement dry waste separation. From the origin with the method of referring to the source of production and the method of setting up the reverse vending machine, 87% and 66% of the total studied area, respectively, had the optimal productivity.
Conclusion: Considering the importance and necessity of efficient separation of waste from the source, the results of this study show that the implementation of the dry waste management model by referring to the source of production compared to the method of setting up the reverse vending machine It has more efficiency, effectiveness, and scope.
References
1. Azizi Danalo S, Mojtaba Zadeh Khaneghahi H (2016). Presenting a model of fair distribution of urban services based on social justice case study: district 11 of Tehran. Journal of Sustainable City. 3(4):75-90. [Persian] [Link]
2. Batouei M, Gheidar Kheljani J (2017). Prioritization options of waste separation from the source using TOPSIS method (case study: Shahid Rajaei residential town of Tehran). Environmental Researches. 7(14):31-42. [Persian] [Link]
3. Bouzon M, Govindan K, Rodriguez CMT, Campos LMS (2016). Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP. Resources, Conservation and Recycling. 108: 182-197. [Link] [DOI:10.1016/j.resconrec.2015.05.021]
4. Chang DY (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research. 95(3):649-655. [Link] [DOI:10.1016/0377-2217(95)00300-2]
5. Dehghani Kazemi V, Jafari H, Malek Mohammadi B (2013). Application of fuzzy logic group decision techniques and geographic information system in waste recycling station location. Journal of Applied Research in Geographical Sciences. 12(27):185-204. [Persian] [Link]
6. Farzi Dayeri A, Ghaffarzadeh H, Javid AH, Hosseinzadeh Lotfi F (2021). Modeling criteria affecting the location of recycled booths using a combination of fuzzy delphi and FAHP methods. NEGARESHHAYE NO DAR JOGHRAFIAYE ENSANI. 13(3):322 -342. [Persian] [Link]
7. Forouzandeh Dehkordi L, Shkhsian F, Sadat Hosseini F (2012). Investigation on islamic factors formed authentic transformational leadership (ATL) base on comparison study between Islamic and western issues (by using delphi fuzzy technique). Journal of Management Research General. 5(18):109-133. [Persian] [Link]
8. Geng Y, Zhu Q, Haight M (2007). Planning for integrated solid waste management at the industrial Park level: a case of Tianjin, China. Waste Management. 27(1):141-150. [Link] [DOI:10.1016/j.wasman.2006.07.013]
9. Gogus O, Boucher TO (1998). Strong transitivity, rationality and weak monotonicity in fuzzy pairwise comparisons. Fuzzy Sets and Systems. 94(1):133-144. [Link] [DOI:10.1016/S0165-0114(96)00184-4]
10. Howarth C, Monasterolo I (2016). Understanding barriers to decision making in the UK energy‐food‐water nexus: The added value of interdisciplinary approaches. Environmental Science & Policy. 61:53‐60. [Link] [DOI:10.1016/j.envsci.2016.03.014]
11. Ilanloo M, BicgarianH, Yahya Soltani M, Bahramian MM (2019). Optimal locating of urban waste recycling facility (case study: Kelardasht, Iran). Scientific Journals Management System. 19(52):193-209. [Persian] [Link] [DOI:10.29252/jgs.19.52.193]
12. Ishikawa A, Amagasa M, Shiga T, Tomizawa G, Tatsuta R, Mieno H (1993). The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy Sets and Systems. 55(3):241-253. [Link] [DOI:10.1016/0165-0114(93)90251-C]
13. Kahraman C, editor (2008). Fuzzy multi-criteria decision making: Theory and application with recent Developments. Berlin: Springer. [Link] [DOI:10.1007/978-0-387-76813-7]
14. Kahraman C, Cebeci U, Ulukan Z (2003). Multi-criteria supplier selection using fuzzy AHP. Logistic International Journal Management; Bradford. 16(6):382-394. [Link] [DOI:10.1108/09576050310503367]
15. Kamiabi S, Muslimi A (2020). Assessing waste management in schools Shahroud city. Geography and Human Relations. 3(1):299-312. [Persian] [Link]
16. Kaufmann A, Gupta MM (1988). Fuzzy mathematical models in engineering and management science. Oxford: North Holland. [Link]
17. Kravchenko A, Bullock DG (1999). A comparative study of interpolation methods for mapping soil properties. Agronomy Journal. 91(3):393-400. [Link] [DOI:10.2134/agronj1999.00021962009100030007x]
18. Lee AHI, Chen WC, Chang CJ (2008). A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan. Expert Systems with Applications. 34(1):96-107. [Link] [DOI:10.1016/j.eswa.2006.08.022]
19. Li G, Weng Q (2007). Measuring the quality of life in city of Indianapolis by integration of remote sensing and census data. International Journal of Remote Sensing. 28(2):249-267. [Link] [DOI:10.1080/01431160600735624]
20. Liu WK (2013). Application of the fuzzy delphi method and the fuzzy analytic hierarchy process for the managerial competence of multinational corporation executives. International Journal of e-Education, e-Business, e-Management and e-Learning. 3(4):313-317. [Link] [DOI:10.7763/IJEEEE.2013.V3.248]
21. Mikhailov L (2003). Deriving priorities from fuzzy pairwise comparison judgements. Fuzzy Sets and Systems. 134(3):365-385. [Link] [DOI:10.1016/S0165-0114(02)00383-4]
22. Mirzaei S, Cheraghalikhani S (2018). Investigating and prioritizing the factors affecting the location of the recycling booth and their location using GIS spatial information software and AHP hierarchical analysis process (Case study of municipal services in Tehran District 5). The third national conference on agricultural science and technology, natural resources and Iran Environment, Tehran. Tehran: CIVILICA. [Persian] [Link]
23. Mohammadi A, Pishgar E, Shokripour Dizaj H, Masoumi D, Fathi Gh (2017). Evaluating and ranking of city neighborhoods in source waste separation indicators using vikor method in gis (case study of Ardabil city). Journal of Regional Planning. 7(26):177-186. [Persian] [Link]
24. Montazer GA, Jafari N (2008). Using fuzzy delphi method to determine the tax policies of the country. The Economic Research. 8(1):91-114. [Persian] [Link]
25. Peyvastegar Y, Ansari MH (2017). Review and assess the social determinants of household waste produced per capita loss (case study: Tehran municipality region 3 and 10). Journal of Environmental Science and Technology. 19(4):219-236. [Persian] [Link]
26. Pradhan B (2010). Application of an advanced fuzzy logic model for landslide susceptibility analysis. International Journal of Computational Intelligence Systems. 3(3):370-381. [Link] [DOI:10.1080/18756891.2010.9727707]
27. Rafiei H, Shahnoushi N, Rahnama MR (2013). Survey and ranking of urban areas in terms of citizen participation in segregation of waste using multi-criteria planning: a case study of Mashhad. Geographical Research. 28(2):195-214. [Persian] [Link]
28. Sadeghi B, Khalajmasoumi M (2015). A futuristic review for evaluation of geothermal potentials using fuzzy logic and binary index overlay in GIS environment. Renewable and Sustainable Energy Reviews. 43:818-831. [Link] [DOI:10.1016/j.rser.2014.11.079]
29. Samadi Miarkalai H, Samadi Miarkolai H, Bastami M (2017). Application of fuzzy Delphi method and fuzzy group hierarchical analysis process in identifying and ranking indicators affecting the development of organizational entrepreneurship. Journal of Innovation and Value Creation. 6(11):61-74. [Persian] [Link]
30. Sharafi H, Khmer GA, Ashkboos A (2016). Management of physical development of Dehdasht city using urban growth boundaries for sustainable development of surrounding villages. Journal of Urban Areas Studies Shahid Bahonar University of Kerman. 2(7):57-73. [Persian] [Link]
31. Van Laarhoven PJM, Pedrycz W (1983). A fuzzy extension of Saaty's priority theory. Fuzzy Sets and Systems. 11(1-3):229-241. [Link] [DOI:10.1016/S0165-0114(83)80082-7]
32. Vatanparast M, Sadeghi H, Kochgani A (2012). Locating urban dry waste exchange stations in Mashhad using GIS. The sixth national conference and the first international conference on waste management, April 21, 2012. Mashhad. Tehran: CIVILICA. [Persian] [Link]
33. Yaghfouri H, Ghasemi S, Ghasemi N (2017). Study of spatial justice in the distribution of services, with an emphasis on urban management (case study: the neighborhoods of nineteen district of Tehran). Geographical Research. 32(3):114-128. [Persian] [Link] [DOI:10.29252/geores.32.3.114]
34. Zahedi SS, Najafi GA (2006). Conceptual development of sustainable development. Teacher of Humanities. (49):43-76. [Persian] [Link]