Abstract
There were two collection, transportation and treatment models for rural domestic waste management: urban–rural disposal model and area-based disposal model. In the urban–rural disposal model, rural domestic waste is collected in villages, transferred in towns, and disposed in centralized disposal sites of county, whereas area-based disposal model meant that each village built its own small-scale domestic waste facility. The threshold of transportation distance between urban centralized disposal sites and villages determined which of these two models would be more cost-effective. In this study, a distance decision-making model to obtain the threshold of collection and transportation distance was proposed. Besides, by application of this distance decision-making model supported by GIS software, 14588 villages of Guangxi Province, China were recommended to apply urban–rural disposal model or area-based disposal model. Results showed that (1) distance threshold decreases as the population of village increases; (2) when the population size of the village was up to 20000 people, it was more cost-effective choosing area-based disposal model; (3) a total of 10932 villages in Guangxi Province were recommended to select urban–rural disposal model, 71% of which should expand treatment scales of urban centralized disposal sites. In addition, 3554 villages were recommended to select area-based disposal model; (4) the parameters of amount of per capita domestic waste output, the average life of the facilities, cost of building new small-scale area-based treatment facilities, and cost of collection and transportation of waste have high sensitivity for distance threshold estimation.
Similar content being viewed by others
References
Yue B, Zhang ZB, Sun YJ et al (2014) Characteristics of rural household solid wastes in China. Environ Sci Technol 6:129–134
Han Z, Ye C, Zhang Y et al (2019) Characteristics and management modes of domestic waste in rural areas of developing countries: a case study of China. Environ Sci Pollut Res 26:8485–8501
Dogan K, Duleyman S (2003) Cost and financing of municipal solid waste collection services in Istanbul. Waste Manag Res 21(5):480–485
Ghose MK, Dikshit AK, Sharma SK (2006) A GIS based transportation model for solid waste disposal–a case study on Asansol municipality. Waste Manage 26(11):1287–1293
Kinobe JR, Bosona T, Gebresenbet G et al (2015) Optimization of waste collection and disposal in Kampala city. Habit Int 49:126–137
Abdelli IS, Asnoune M, Arab Z et al (2017) Management of household waste in sanitary landfill of Mostaganem district (Western Algeria). J Mater Cycles Waste Manag 19:265–281
Zhu HF, Chen YG, Zhou CB (2014) Characteristic mnagement pttern and dvelopment piorities of rural domestic waste in China. China Populat Resources Environ S3:297–300 (in Chinese)
Cordeau JF, Gendreau M, Laporte G et al (2002) A guide to vehicle routing heuristics. J Operat Res Soc 53:512–522
Simonetto EO, Borenstein D (2007) A decision support system for the operational planning of solid waste collection. Waste Manag 7:1286–1297
Armstrong JM, Khan AM (2004) Modelling urban transportation emissions: role of GIS. Comput Environ Urban Syst 28:421–433
Tavares G, Zsigraiova Z, Semiao V et al (2009) Optimization of MSW collection routes for minimum fuel consumption using 3D GIS modeling. Waste Manag 29(3):1176–1185
Louati A, Hoang SL, Habib C (2018) SGA: spatial GIS-based genetic algorithm for route optimization of municipal solid waste collection. Environ Sci Pollut Res 25:27569–27582
Economopoulou MA, Economopoulou AA, Economopoulos AP (2013) A methodology for optimal MSW management, with an application in the waste transportation of Attica Region, Greece. Waste Manag 33(11):2177–2187
Angelelli E, Speranza MG (2002) The application for a vehicle routing model to a waste collection problem:two case studies. J Operat Res Soc 53(9):944–952
Xue W, Cao K, Li W (2015) Municipal solid waste collection optimization in Singapore. Appl Geogr 62:182–190
Ericsson E, Larsson H, Brundell-Freij K (2006) Optimizing route choice for lowest fuel consumption – potential effects of a new driver support tool. Transport Res C 14(6):369–383
Abdelli IS, Abdelmalek F, Djelloul A et al (2016) GIS-based approach for optimised collection of household waste in Mostaganem city (Western Algeria). Waste Manag Res 34(5):417–426
Asefi H, Lim S, Asefi H et al (2017) A novel multi-dimensional modeling approach to integrated municipal solid waste management. J Clean Prod 166:1131–1143
Mona S, Ghasemali O, Faramarz M et al (2018) A comprehensive multi-criteria decision making-based land capability assessment for municipal solid waste landfill sitting. Environ Sci Pollut Res 25:27877–27889
Karakuş CB, Demiroğlu D, Çoban A (2020) Evaluation of GIS-based multi-criteria decision-making methods for sanitary landfll site selection: the case of Sivas city, Turkey. J Mater Cycles Waste Manage 22:254–272
Bárcena-Ruiz JC, Casado-Izaga FJ (2015) Regulation of waste management under spatial competition. J Clean Prod 92:216–222
Ibrahim MA, Hogland W (2014) Organizing preliminary storage sites of organic material, waste fuels and recyclables and their separating distance from populated areas. J Mater Cycles Waste Manag 16:270–281
Mirdar HA, Mansour S, Karimi B et al (2017) Multi-period sustainable and integrated recycling network for municipal solid waste—a case study in Tehran. J Clean Prod 151:96–108
Nowakowski P, Mrówczyńska B (2018) Towards sustainable WEEE collection and transportation methods in circular economy-comparative study for rural and urban settlements. Resources Conserv Recycl 35:93–107
Khoshand A, Rahimi K, Ehteshami M et al (2019) Fuzzy ahp approach for prioritizing electronic waste management options: a case study of tehran, iran. Environ Sci Pollut Res 26:9649–9660
Sun X, Huang RH, Zhu JL et al (2018) Environment and economy efficiency valuation for rural domestic solid waste treatment demonstration projects using DEA method. Trans Chin Soc Agric Eng 34(16):190–197 (in Chinese)
Bouras E, Tsilidis KK, Pounis G et al (2019) Chapter 7—meta-analysis of nutrition studies. Anal Nutr Res. https://doi.org/10.1016/B978-0-12-814556-2.00007-5
Wu WH, Wang FS, Chang MS (2008) Dynamic sensitivity analysis of biological systems. BMC Bioinformatics 12:S17
Liu HH, Yan F (2019) Gene regulation network modeling and mechanism analysis based on MicroRNA-disease related data. Reference Module Biomed Sci 1–10
Yang HY, Yue B, Liu YJ et al (2019) Rural solid waste—characteristics and leachate pollution assessment for different precipitation levels, China. Environ Sci Pollut Res 26(11):11234–11244
Han ZY, Ye CW, Zhang Y et al (2019) Characteristics and management modes of domestic waste in rural areas of developing countries: a case study of China. Environ Sci Pollut Res 26(9):8485–8501
Banar M, Cokaygil Z, Ozkan A (2009) Life cycle assessment of solid waste management options for Eskisehir, Turkey. Waste Manage 29(1):54–62
Zhao Y, Wang HT, Lu WJ et al (2009) Life-cycle assessment of the municipal solid waste management system in Hangzhou, China (EASEWASTE). Waste Manage Res 27(4):399–406
Pérez J, Lumbreras J, David DLP et al (2017) Methodology to evaluate the environmental impact of urban solid waste containerization system: a case study. J Clean Prod 150:197–213
San jeevi V, Shahabudeen P (2016) Optimal routing for efficient municipal solid waste transportation by using ArcGIS application in Chennai, India. Waste Manage Res 34(1):11–21
El Maguiri A, Kissi B, Idrissi L et al (2016) Landfill site selection using GIS, remote sensing and multicriteria decision analysis: case of the city of Mohammedia, Morocco. Bull Eng Geol Env 75(3):1301–1309
Aksoy E, San BT (2019) Geographical information systems (GIS) and Multi-Criteria Decision Analysis (MCDA) integration for sustainable landfill site selection considering dynamic data source. Bull Eng Geol Environ 78(2):779–791
Hoang LV, Bolingbroke D, Ng KTW et al (2019) Assessment of waste characteristics and their impact on GIS vehicle collection route optimization using ANN waste forecasts. Waste Manage 88:118–130
Hoang LV, Ng KTW, Fallah B (2020) Interactions of residential waste composition and collection truck compartment design on GIS route optimization. Waste Manage 102:613–623
Acknowledgements
This study is supported by Guangxi Science and Technology Research Program (AB16380253), National Key R&D Program of China (2018YFC1903201), and Scientific Research Foundation of Guangxi University (XGZ150300).
Author information
Authors and Affiliations
Corresponding authors
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Huang, R., Sun, X., Tan, X. et al. Decision-making analysis on collection and transportation distance of rural domestic waste: case study of Guangxi Province, China. J Mater Cycles Waste Manag 22, 2081–2091 (2020). https://doi.org/10.1007/s10163-020-01093-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10163-020-01093-4