Optimizing the number and location of household waste collection sites by multi-maximal covering location model: An empirical study in Minamata City, Kumamoto Prefecture, Japan

Zhuo, Qiannan; Wu, Yan

doi:10.1016/j.jclepro.2022.134644

Cited by 3 publications

(7 citation statements)

References 33 publications

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“…The result of the model was the most optimal (shorter and more accessible distances) set of 3R-WMS facilities, designed to serve larger population, with varying degrees of coverage. This study developed the MMCLM based on previous research by Pirkul and Schilling [29] and Zhuo and Yan [10]. Pirkul and Schilling [29] focused on maximizing population coverage through location planning, but their models only considered a uniform distance threshold when calculating covered demands.…”

Section: Developing Mmclmmentioning

confidence: 99%

“…They did not account for variability in access distances to facilities which is important in the real-contexts. On the other hand, Zhuo and Yan [10] did incorporate multi-varied distances into their optimization formulation, for maximizing customer satisfaction. However, their objective did not ensure complete coverage and demand fulfillment to the entire population.…”

Section: Developing Mmclmmentioning

confidence: 99%

“…However, building 3R-WMSs accessible to the whole population faces significant challenges, including limited available land and high construction costs. Scientific research have indicated that improving the accessibility of waste collection points to residents can ease their daily waste disposals [10]. A strategic approach proposed for achieving this objective is the systematic waste collection from each household.…”

Section: Introductionmentioning

confidence: 99%

“…Medina et al [28] developed MCLM with accessibility indicators and mobile units to expand service coverage and optimize accessibility indicators at the service area of facilities. Another study by Zhuo and Yan [10] has developed a Multi-Maximal Covering Location Model (MMCLM) to address the challenge of determining waste collection site allocations by considering the level of community satisfaction while taking into account site capacities and distances from municipal services.…”

Section: Introductionmentioning

confidence: 99%

“…10.12928/ijio.v5i1. 9251 Analysis of the relations between the number of waste collection points and demand and population coverage…”

mentioning

confidence: 99%

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Sustainable waste solutions: Optimizing location-allocation of 3R waste management sites in Gondokusuman, Yogyakarta, Indonesia through multi-maximal covering location approach

Leuveano,

Kasih,

Ridho

et al. 2024

Int. J. Ind. Optim.

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Developing a Multi-Maximal Covering Location Model (MMCLM) for waste management in Gondokusuman Sub-district, Yogyakarta, Indonesia, is urgently needed. The closure of the Piyungan landfill has resulted in the need for additional Reduce, Reuse, and Recycle Waste Management Sites (3R-WMSs) to reduce waste that the landfill cannot accommodate. The primary objective of this model is to optimize the location and allocation of demand volume nodes, representing the resident population, to a specific set of 3R-WMS. These demand nodes are located at different distances from 3R-WMSs, including high and low coverage areas. The research in the Gondokusuman Sub-district employed MMCLM with facility capacity constraints and was developed using mixed integer linear programming methodology. The study identified five optimal locations for a 3R-WMS establishment that comprehensively cover all demand nodes (15301) and population clusters (45903) in the sub-district, including both high (5085) and low coverage areas (10216). This research represents a significant step forward in developing a sustainable environment by ensuring easy access to reducing, reusing, and recycling-based waste management facilities for residents.

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Section: Developing Mmclmmentioning

confidence: 99%

Section: Developing Mmclmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…10.12928/ijio.v5i1. 9251 Analysis of the relations between the number of waste collection points and demand and population coverage…”

mentioning

confidence: 99%

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Sustainable waste solutions: Optimizing location-allocation of 3R waste management sites in Gondokusuman, Yogyakarta, Indonesia through multi-maximal covering location approach

Leuveano,

Kasih,

Ridho

et al. 2024

Int. J. Ind. Optim.

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Application of q-rung orthopair fuzzy based SWARA-COPRAS model for municipal waste treatment technology selection

Soni

Das

2023

Environ Sci Pollut Res

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Bridging Local Governments and Residents for Household Waste Source Separation Using a Business-Driven, Multi-Stakeholder Cooperative Partnership Model—A Case Study of HUGE Recycling in Yuhang, Hangzhou, China

et al. 2023

Self Cite

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Rapid economic development has led to an overwhelming surge in waste generation, demanding urgent and comprehensive waste management solutions, particularly in developing countries. Source separation is a critical and indispensable step in integrated waste management and is featured as a government-led pattern in general. However, its implementation challenges persist in many cities because of complex waste systems and a lack of multi-stakeholder partnerships. Since there is a paucity of empirical research focusing specifically on the recycling business, this study presents a case study of HUGE Recycling, operating in Yuhang District, Hangzhou, China, to explore the effectiveness of a business-driven, multi-stakeholder partnership model in promoting source separation. The paper reveals that the recycling business plays a significant role in bridging the gap between local governments, residents, and the recycling industry and identifies some key factors in the business-driven, multi-stakeholder cooperative partnership model, fulfilling the requirements of multi-stakeholders. This case fosters collaboration between local governments, residents, and the recycling industry, encouraging active participation and alleviating the government’s burden. The findings highlight the potential applicability of the HUGE Recycling Model to waste management in resource-constrained developing countries for better resource management.

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Optimizing the number and location of household waste collection sites by multi-maximal covering location model: An empirical study in Minamata City, Kumamoto Prefecture, Japan

Cited by 3 publications

References 33 publications

Sustainable waste solutions: Optimizing location-allocation of 3R waste management sites in Gondokusuman, Yogyakarta, Indonesia through multi-maximal covering location approach

Sustainable waste solutions: Optimizing location-allocation of 3R waste management sites in Gondokusuman, Yogyakarta, Indonesia through multi-maximal covering location approach

Application of q-rung orthopair fuzzy based SWARA-COPRAS model for municipal waste treatment technology selection

Bridging Local Governments and Residents for Household Waste Source Separation Using a Business-Driven, Multi-Stakeholder Cooperative Partnership Model—A Case Study of HUGE Recycling in Yuhang, Hangzhou, China

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