An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem

Gallo, Mariano

doi:10.3390/su11143904

Cited by 12 publications

(8 citation statements)

References 75 publications

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“…This discriminatory practice can be shown as the power-play of urban elites who do not wish to manage their waste in their own backyard, instead, they dump their waste to locations where socio-economically disadvantaged sections of the society reside. This tendency is termed as "Not in my backyard" (NIMBY), which can be defined as a widespread phenomenon related to the strong opposition of a community to some publicinterest interventions in a local area, mainly "undesirable plants", such as landfills, incinerators and thermoelectric power plants [19,20].…”

Section: • Reduced Storage Of Biodegradable Wastementioning

confidence: 99%

Centralized and decentralized approaches to solid waste management – a case study

Menon

Palackal

2022

Holist. approach environ.

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Rapid urbanization and alteration in lifestyle occurring across the globe has resulted in an un-controlled generation of municipal solid waste. Various strategies have been tried and tested for obtaining a sustainable result in municipal solid waste management. Nonetheless, in most of the cases, they have created negative health, environment and socio-economic impacts, particularly in developing countries. Furthermore, the attitude of the common people towards the waste they generate, often acts as a barrier for adopting sustainable strategies for its management. Two main approaches are being followed in municipal solid waste management: a centralized and a decentralized approach. There exists an ongoing debate with regard to the efficiency of the two approaches. Taking the Thiruvananthapuram Municipal Corporation in Kerala, India as a case to observe, this paper examines the merits, demerits, and practicability of these two approaches, and tries to suggest a sustainable model to curb the issue of municipal solid waste management in urban settings.

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Section: • Reduced Storage Of Biodegradable Wastementioning

confidence: 99%

Centralized and decentralized approaches to solid waste management – a case study

Menon

Palackal

2022

Holist. approach environ.

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“…Cong et al found that near the place of residence was one of the crucial factors that resulted in site selection failure [7]. Gallo used a discrete optimisation model and a heuristic algorithm to solve the landfill siting problem and suggested that landfills should be located in sparsely populated sites [51]. Sun et al found that the closer the distance between waste-to-energy plants and the real estate, the stronger the negative externality of waste-toenergy plants [52].…”

Section: Indicators Of Public Risk Perceptionmentioning

confidence: 99%

Information Dissemination and Control of NIMBY Projects under Stigmatization

Zhang

Zhu

2022

Complexity

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NIMBY (Not in My Backyard) projects are easily stigmatized due to their environmental risk. Stigmatization enlarges residents’ risk perception, urges residents to spread information, and takes actions to resist project implementation, causing environmental mass emergency. Taking paraxylene (PX) project as an example, information dissemination model of NIMBY project under stigmatization based on SEIR model in small world network was established, and the information dissemination process and characteristics of NIMBY project under stigmatization were simulated and analysed. The results show that (1) the public risk perception deviation caused by stigmatization promotes residents to disseminate information; (2) stigmatization has a greater impact on the information dissemination of NIMBY project with low environmental risk; (3) stigmatization accelerates the speed of information dissemination and increases the number of residents participating in information dissemination in different dissemination environment. The contribution of this paper is that SEIR model in small world network is used to verify the role of stigmatization in promoting information dissemination of NIMBY project by comparing the information dissemination before and after stigmatization.

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“…Gu et al (2017) [15] fully considered the impact of external effects on the location of waste power plants, and established a bi-level planning model to optimize the location of waste power plants in Wuhan. Gallo (2019) [16] proposes a discrete optimization model and a heuristic algorithm to solve the landfill siting problem over large areas. Zhao and Huang (2019) [17] explored the multi-period network design problem is to determine the location of waste facilities in each period during the planning horizon.…”

Section: Relevant Nimby Facilities Location Modelsmentioning

confidence: 99%

Optimizing locations of waste transfer stations in rural areas

et al. 2021

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Many studies have considered the location of rural waste transfer stations, but most have omitted the impact of transportation network conditions. Traffic accessibility must be considered in optimizing the location of rural waste transfer stations, which is an important difference from the location of rural waste transfer stations. On the basis of previous studies, this study will consider the impact of traffic network on the optimization locations of waste transfer station in the rural areas. The objective of this study was to ensure the minimum Euclidean distance between the waste transfer station and the population center is the maximum, minimize the garbage transportation cost of each population center, construction costs for waste transfer stations, construction and upgrade costs for roads on a traffic network. A multi-objective facility location-network design model and an improved multi-objective simulated annealing algorithm was used to solve the problem. A detailed practical case study was used to illustrate the application of the proposed mathematical model. The results show that transportation network plays an important role in facility location optimization, and the improvement of traffic network conditions can greatly reduce waste transportation costs.

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An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem

Cited by 12 publications

References 75 publications

Centralized and decentralized approaches to solid waste management – a case study

Centralized and decentralized approaches to solid waste management – a case study

Information Dissemination and Control of NIMBY Projects under Stigmatization

Optimizing locations of waste transfer stations in rural areas

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