Abstract
This chapter developed a geographic information system (GIS) model and applied spatial analysis techniques to determine the most suitable location for municipal solid waste transfer station within the city of Vinnytsia, Ukraine. The absence of such a station within the city’s sanitation infrastructure gives rise to numerous challenges, leading to an overall decreased efficiency in waste management. With the rising costs associated with solid waste management, the importance of optimizing processes during the transportation stage has become increasingly evident. This issue is particularly significant in rapidly growing urban areas. Given the intricate hierarchical nature of waste management systems, the process of site selection requires a thorough examination of various alternative solutions and assessment criteria. Drawing on the conditions of the study area, a thorough look at the relevant factors and established criteria weights was examined using multicriteria decision analysis. A hierarchical model was then constructed to address the challenge of determining the optimal site for a waste transfer station in the city using spatial data. The creation of suitability maps for the geographical area was undertaken based on a range of criteria. These criteria were assessed on a scale from 1 (i.e., lowest suitability) to 5 (i.e., highest suitability), utilizing spatial information technologies. The potential sites for consideration were categorized using the best-worst method: “optimal,” “favorable,” and “unsuitable.” Optimal sites represent the most advantageous choices, while favorable sites could serve as backup options for potential candidates. This information possesses practical value for individuals responsible for making managerial decisions in the context of municipal solid waste management in urban areas marked by significant urbanization. Moreover, the model serves as a demonstrative example of infrastructure development and nation building, an important consideration for the country in the postwar reconstruction period.
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References
Adekola, P. O., Iyalomhe, F. O., Paczoski, A., Abebe, S. T., Pawłowska, B., Bąk, M., & Cirella, G. T. (2021). Public perception and awareness of waste management from Benin City. Scientific Reports, 11, 306. https://doi.org/10.1038/s41598-020-79688-y
Adugna, D. (2023). Challenges of sanitation in developing counties: Evidenced from a study of fourteen towns, Ethiopia. Heliyon, 9, e12932. https://doi.org/10.1016/j.heliyon.2023.e12932
Ahmad, A., Javaid, U., Javed, M. A., Ahmad, S. R., Jaffri, M. A., & Ashfaq, M. (2016). Landfill sites identification using GIS and multi-criteria method: A case study of intermediate city of Punjab, Pakistan. Journal of Geographic Information System, 8, 40–49. https://doi.org/10.4236/jgis.2016.81004
Alam, M. S., & Mondal, M. (2019). Assessment of sanitation service quality in urban slums of Khulna city based on SERVQUAL and AHP model: A case study of railway slum, Khulna, Bangladesh. Journal of Urban Management, 8, 20–27. https://doi.org/10.1016/j.jum.2018.08.002
Ali, I., Islam, A., Ali, S. M., & Adnan, S. (2023). Identification and selection of suitable landfill sites using GIS-based multi-criteria decision analysis in the Peshawar District, Pakistan. Waste Management & Research, 41, 608–619. https://doi.org/10.1177/0734242X221124069
Andersson, K., Dickin, S., & Rosemarin, A. (2016). Towards “sustainable” sanitation: Challenges and opportunities in urban areas. Sustainability, 8, 1289. https://doi.org/10.3390/su8121289
Asefa, E. M., Barasa, K. B., Mengistu, D. A., Asefa, E. M., Barasa, K. B., & Mengistu, D. A. (2022). Application of geographic information system in solid waste management. In Geographic information systems and applications in coastal studies. IntechOpen.
Aslam, B., Maqsoom, A., Tahir, M. D., Ullah, F., Rehman, M. S. U., & Albattah, M. (2022). Identifying and ranking landfill sites for municipal solid waste management: An integrated remote sensing and GIS approach. Buildings, 12, 605. https://doi.org/10.3390/buildings12050605
Barzehkar, M., Dinan, N. M., Mazaheri, S., Tayebi, R. M., & Brodie, G. I. (2019). Landfill site selection using GIS-based multi-criteria evaluation: Case study Saharkhiz region located in Gilan Province in Iran. SN Applied Sciences, 1, 1082. https://doi.org/10.1007/s42452-019-1109-9
Bax, C., Sironi, S., & Capelli, L. (2020). How can odors be measured? An overview of methods and their applications. Atmosphere, 11, 92. https://doi.org/10.3390/atmos11010092
Budihal, S. V., & Banakar, R. M. (2020). Search radius setting and updation for sphere decoder for MIMO systems. Procedia Computer Science, 171, 2087–2096. https://doi.org/10.1016/j.procs.2020.04.225
Byliński, H., Barczak, R. J., Gębicki, J., & Namieśnik, J. (2019). Monitoring of odors emitted from stabilized dewatered sludge subjected to aging using proton transfer reaction–mass spectrometry. Environmental Science and Pollution Research, 26, 5500–5513. https://doi.org/10.1007/s11356-018-4041-4
Canavese, D., Ortega, N. R. S., & Queirós, M. (2014). The assessment of local sustainability using fuzzy logic: An expert opinion system to evaluate environmental sanitation in the Algarve region, Portugal. Ecological Indicators, 36, 711–718. https://doi.org/10.1016/j.ecolind.2013.09.030
Chang, N.-B., & Lin, Y. T. (1997). Optimal siting of transfer station locations in a metropolitan solid waste management system. Spectroscopy Letters, 30, 601–623. https://doi.org/10.1080/00387019708006686
Chen, X., & Güttel, S. (2023). Fast exact fixed-radius nearest neighbor search based on sorting
Cirella, G. T. (2020). Sustainable human-nature relations: Environmental scholarship, economic evaluation, urban strategies. Springer.
Cirella, G. T. (2022). Human settlements: Urbanization, smart sector development, and future outlook. Springer.
Cirella, G. T., & Tao, L. (2008). Measuring sustainability: An application using the index of sustainable functionality in South East Queensland, Australia. International Journal of Interdisciplinary Social Sciences: Annual Review, 3. https://doi.org/10.18848/1833-1882/CGP/v03i08/52680
Cirella, G. T., & Tao, L. (2009a). An adaptive quantitative method to measure sustainability: An application for the State of Queensland, Australia. International Journal of Environmental, Cultural, Economic, and Social Sustainability: Annual Review, 5, 127–139. https://doi.org/10.18848/1832-2077/CGP/v05i01/54563
Cirella, G. T., & Tao, L. (2009b). The index of sustainable functionality: An application for measuring sustainability. World Academy of Science, Engineering and Technology, 3, 268–274. https://doi.org/10.5281/zenodo.1330369
Cirella, G. T., Tao, L., & Mohamed, S. (2007). An application of an adaptive quantitative method to measure the sustainability of the Gold Coast, Australia. Journal of Coastal Research, SI50, 52–56.
Cirella, G. T., Wanjiku, S., Paczoski, A., & Tiruneh, S. (2020). Human-nature relations: The unwanted filibuster. In G. T. Cirella (Ed.), Sustainable human–nature relations: Environmental scholarship, economic evaluation, urban strategies (pp. 3–22). Springer.
Cirella, G. T., & Zerbe, S. (2014). Index of sustainable functionality: Application in Urat Front Banner. In G. T. Cirella & S. Zerbe (Eds.), Sustainable water management and wetland restoration in settlements of continental-arid Central Asia (pp. 137–155). Bozen University Press.
Cobos Mora, S. L., & Solano Peláez, J. L. (2020). Sanitary landfill site selection using multi-criteria decision analysis and analytical hierarchy process: A case study in Azuay Province, Ecuador. Waste Management & Research, 38, 1129–1141. https://doi.org/10.1177/0734242X20932213
Cobos-Mora, S. L., Guamán-Aucapiña, J., & Zúñiga-Ruiz, J. (2023). Suitable site selection for transfer stations in a solid waste management system using analytical hierarchy process as a multi-criteria decision analysis: A case study in Azuay-Ecuador. Environment, Development and Sustainability, 25, 1944–1977. https://doi.org/10.1007/s10668-022-02134-8
Czermanski, E., Cirella, G. T., Oniszczuk-Jastrząbek, A., Pawlowska, B., & Notteboom, T. (2021). An energy consumption approach to estimate air emission reductions in container shipping. Energies, 14. https://doi.org/10.3390/en14020278
Devaki, H., & Shanmugapriya, S. (2023). Site suitability analysis for locating construction and demolition waste transfer station: An Indian case study. Environmental Monitoring and Assessment, 195, 1084. https://doi.org/10.1007/s10661-023-11723-7
Dolui, S., & Sarkar, S. (2021). Identifying potential landfill sites using multicriteria evaluation modeling and GIS techniques for Kharagpur City of West Bengal, India. Environmental Challenge, 5, 100243. https://doi.org/10.1016/j.envc.2021.100243
Eiselt, H. A., & Marianov, V. (2015). Location modeling for municipal solid waste facilities. Computers and Operations Research, 62, 305–315. https://doi.org/10.1016/j.cor.2014.05.003
Elkhrachy, I. (2022). Solid waste assessment and management using remote sensing data and GIS tools: A case study of Najran City, KSA. IOP Conference Series: Earth and Environmental Science, 1026, 012041. https://doi.org/10.1088/1755-1315/1026/1/012041
Ferdous, S., Chowdhury, F. N., Ali, M. L., Bodrud-Doza, M., & Rahman, M. M. (2022). Assessment of urban sanitation status and management gaps in a metropolitan city, Bangladesh: potential challenges to achieve SDG 6. Frontiers in Water, 4.
Grzelakowski, A. S. (2020). The concept of internalisation of the external costs of transport in the EU’ and its impact on the efficiency of transport systems and the performance of logistics supply chains. Research Papers of Wrocław University of Economics, 64, 161–174. https://doi.org/10.15611/pn.2020.3.13
Han, Q., Sun, Y., Wu, Q., & Bai, Z. (2021). Research on optimization model of logistics transportation truck path considering environmental impact: Experimental data from Xiqing District, Tianjin. Journal of Advanced Transportation, 2021, e6665168. https://doi.org/10.1155/2021/6665168
Head, N., Phillips, P. S., Tudor, T. L., & Bates, M. P. (2013). The use of GIS: Spatial and temporal analysis of a waste management system within an English county. Journal of Solid Waste Technology and Management, 73–84.
Höke, M. C., & Yalcinkaya, S. (2021). Municipal solid waste transfer station planning through vehicle routing problem-based scenario analysis. Waste Management & Research, 39, 185–196. https://doi.org/10.1177/0734242X20966643
Hu, Y., & Yang, W. (2020). Reverse logistics of municipal solid waste: Study on the location of transfer stations. IOP Conference Series: Earth and Environmental Science, 619, 012004. https://doi.org/10.1088/1755-1315/619/1/012004
Jelokhani-Niaraki, M., & Malczewski, J. (2015). The decision task complexity and information acquisition strategies in GIS-MCDA. International Journal of Geographical Information Science, 29, 327–344. https://doi.org/10.1080/13658816.2014.947614
Kahraman, C., Orobello, C., & Cirella, G. T. (2022). Changing dynamics with COVID-19: Future outlook. In G. T. Cirella (Ed.), Human settlements: Urbanization, smart sector development, and future outlook (pp. 235–252). Springer.
Karakuş, C. B., Demiroğlu, D., Çoban, A., & Ulutaş, A. (2020). Evaluation of GIS-based multi-criteria decision-making methods for sanitary landfill site selection: The case of Sivas City, Turkey. Journal of Material Cycles and Waste Management, 22, 254–272. https://doi.org/10.1007/s10163-019-00935-0
Kareem, S. L., Al-Mamoori, S. K., Al-Maliki, L. A., Al-Dulaimi, M. Q., & Al-Ansari, N. (2021). Optimum location for landfills landfill site selection using GIS technique: Al-Naja City as a case study. Cogent Engineering, 8, 1863171. https://doi.org/10.1080/23311916.2020.1863171
Khodaparast, M., Rajabi, A. M., & Edalat, A. (2018). Municipal solid waste landfill siting by using GIS and Analytical Hierarchy Process (AHP): A case study in Qom City, Iran. Environmental Earth Sciences, 77, 52. https://doi.org/10.1007/s12665-017-7215-3
Kibria, M. G., Masuk, N. I., Safayet, R., Nguyen, H. Q., & Mourshed, M. (2023). Plastic waste: Challenges and opportunities to mitigate pollution and effective management. International Journal of Environmental Research, 17, 20. https://doi.org/10.1007/s41742-023-00507-z
Klyushnychenko, E. E. (2014). Methods of sanitary cleaning of cities: Domestic and foreign experience. Urban Development and Spatial Planning, 53, 198–203.
Kornienko, I. V., & Koshma, A. I. (2016). Modeling of intensity of receipt of solid household waste to container platforms. Technical Sciences and Technology, 2, 110–117.
Kůdela, J., Šomplák, R., Nevrlý, V., Lipovský, T., Smejkalová, V., & Dobrovský, L. (2019). Multi-objective strategic waste transfer station planning. Journal of Cleaner Production, 230, 1294–1304. https://doi.org/10.1016/j.jclepro.2019.05.167
Kumru, M. (2013). Assessing the visual quality of sanitary ware by fuzzy logic. Applied Soft Computing, 13, 3646–3656. https://doi.org/10.1016/j.asoc.2013.03.012
Lewandowski, R., & Cirella, G. T. (2022). Performance management systems: Trade-off between implementation and strategy development. Operations Management Research, 16. https://doi.org/10.1007/s12063-022-00305-4
Liu, Y., Zhao, Y., Lu, W., Wang, H., & Huang, Q. (2019). ModOdor: 3D numerical model for dispersion simulation of gaseous contaminants from waste treatment facilities. Environmental Modelling and Software, 113, 1–19. https://doi.org/10.1016/j.envsoft.2018.12.001
McFarlane, C. (2019). The urbanization of the sanitation crisis: Placing waste in the city. Development and Change, 50, 1239–1262. https://doi.org/10.1111/dech.12533
McGranahan, G. (2015). Realizing the right to sanitation in deprived urban communities: Meeting the challenges of collective action, coproduction, affordability, and housing tenure. World Development, 68, 242–253. https://doi.org/10.1016/j.worlddev.2014.12.008
Monzambe, G. M., Mpofu, K., & Daniyan, I. A. (2021). Optimal location of landfills and transfer stations for municipal solid waste in developing countries using non-linear programming. Sustainable Futures, 3, 100046. https://doi.org/10.1016/j.sftr.2021.100046
Oniszczuk-Jastrząbek, A., Czermanski, E., & Cirella, G. T. (2020). Sustainable supply chain of enterprises: Value analysis. Sustainability, 12, su12010419. https://doi.org/10.3390/su12010419
Osuhor, P. C., & Essien, E. S. (1978). Urbanisation and its effects on environmental sanitation. Public Health, 92, 69–75. https://doi.org/10.1016/S0033-3506(78)80031-6
Raman, B. V., Bouwmeester, R., & Mohan, S. (2009). Fuzzy logic water quality index and importance of water quality parameters. Air, Soil and Water Research, 2, ASWR.S2156. https://doi.org/10.4137/ASWR.S2156
Reymond, P., Renggli, S., Lüthi, C., Reymond, P., Renggli, S., & Lüthi, C. (2016). Towards sustainable sanitation in an urbanising world. In Sustainable urbanization. IntechOpen.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
Santana, O., Perez, J., & Rodriguez, J. C. (1990). Increasing radius search schemes for the most similar strings on the Burkhard-Keller Tree. Cybernetics and Systems, 21, 167–180. https://doi.org/10.1080/01969729008902232
Shermin, N., & Rahaman, S. N. (2021). Assessment of sanitation service gap in urban slums for tackling COVID-19. Journal of Urban Management, 10, 230–241. https://doi.org/10.1016/j.jum.2021.06.003
Shi, W., Dong, Z., Chen, G., Bai, Z., & Ma, F. (2022). Spatial and temporal variation of the near-surface wind environment in the Sahara Desert, North Africa. Frontiers of Earth Science, 9.
Singh, A. (2019). Remote sensing and GIS applications for municipal waste management. Journal of Environmental Management, 243, 22–29. https://doi.org/10.1016/j.jenvman.2019.05.017
Sulemana, A., Donkor, E. A., Forkuo, E. K., & Oduro-Kwarteng, S. (2018). Optimal routing of solid waste collection trucks: A review of methods. Journal of Engineering, 2018, e4586376. https://doi.org/10.1155/2018/4586376
Tansel, B., & Inanloo, B. (2019). Odor impact zones around landfills: Delineation based on atmospheric conditions and land use characteristics. Waste Management, 88, 39–47. https://doi.org/10.1016/j.wasman.2019.03.028
Tavares, G., Zsigraiová, Z., & Semiao, V. (2011). Multi-criteria GIS-based siting of an incineration plant for municipal solid waste. Waste Management, 31, 1960–1972. https://doi.org/10.1016/j.wasman.2011.04.013
Vadiati, M., Asghari-Moghaddam, A., Nakhaei, M., Adamowski, J., & Akbarzadeh, A. H. (2016). A fuzzy-logic based decision-making approach for identification of groundwater quality based on groundwater quality indices. Journal of Environmental Management, 184, 255–270. https://doi.org/10.1016/j.jenvman.2016.09.082
Vlasenko, V. M., & Ageeva, G. M. (2019). Garbage recycling as an alternative to landfills. Architecture and ecology: Proceedings of the 10th International Scientific and Practical Conference of the National Aviation University, 2019, 1, 38–40.
Wang, H., Yi, W., & Liu, Y. (2022). Optimal route design for construction waste transportation systems: Mathematical models and solution algorithms. Mathematics, 10, 4340. https://doi.org/10.3390/math10224340
Wankhade, K. (2015). Urban sanitation in India: Key shifts in the national policy frame. Environment and Urbanization, 27, 555–572. https://doi.org/10.1177/0956247814567058
Wu, H., Tao, F., & Yang, B. (2020). Optimization of vehicle routing for waste collection and transportation. International Journal of Environmental Research and Public Health, 17, 4963. https://doi.org/10.3390/ijerph17144963
Xue, W., Cao, K., & Li, W. (2015). Municipal solid waste collection optimization in Singapore. Applied Geography, 62, 182–190. https://doi.org/10.1016/j.apgeog.2015.04.002
Zelenović Vasiljević, T., Srdjević, Z., Bajčetić, R., & Vojinović Miloradov, M. (2012). GIS and the analytic hierarchy process for regional landfill site selection in transitional countries: A case study from Serbia. Environmental Management, 49, 445–458. https://doi.org/10.1007/s00267-011-9792-3
Zolotar, L. V. (2012). Methods for determining the volume and structure of household waste for residential areas. Urban Development and Spatial Planning, 45, 283–295.
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Dudar, I. et al. (2024). Enhancing Urban Solid Waste Management Through an Integrated Geographic Information System and Multicriteria Decision Analysis: A Case Study in Postwar Reconstruction. In: Cirella, G.T. (eds) Handbook on Post-War Reconstruction and Development Economics of Ukraine. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-48735-4_21
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