Research on Factors Influencing Municipal Household Solid Waste Separate Collection: Bayesian Belief Networks

Chu, Zhujie; Wang, Wenna; Wang, Bairong; Zhuang, Jun

doi:10.3390/su8020152

Cited by 27 publications

(19 citation statements)

References 38 publications

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“…Indeed, questionnaires and face-to-face interviews of citizens allow the municipality to quantify the generation, average product life span, disposal practice, and willingness to contribute for MSW at a household level, including the results of international regulation and waste generation trends [63,64]. Four main dimensions are commonly included within social surveys-political, financial, socio-cultural, and technological-which have great influence on effectiveness of the selective collection of MSW [65].…”

Section: Swm Behavior In Developed and Developing Countriesmentioning

confidence: 99%

Social Surveys about Solid Waste Management within Higher Education Institutes: A Comparison

et al. 2017

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Abstract:Solid waste mismanagement is a social burden that requires the introduction of reliable public policies, including recycling principles and technological facilities. However, the development of recycling plans is a real issue for municipal governments, since it involves psychological and cultural factors, both in developed and developing countries. Questionnaire survey is an important tool for evaluating which solid waste management policy is suited for each specific study area, involving citizens and stakeholders. The aim of this paper is to evaluate what approach should be applied for social surveys in higher education institutes, comparing developing and developed countries. Italy is the developed country analyzed, where two universities in different cities are compared, while La Paz (Bolivia) is the emerging reality considered. The research conducted in La Paz led us to understand that, although recycling rates are low (about 8%), many students (56.96%) separate up to half of the waste produced at home. At the same time, about 53% of those interviewed do not know the recycling practices implemented by the informal sector which is the one that constantly act for improving the recycling rates of the city. Low technological acceptance is instead underlined in the high income country, since there is a common negative opinion concerning the introduction of landfills and incinerators near residential areas (49% disagree). A comparison of the methodologies adopted for the two case studies is introduced whereas investigations results are presented.

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Section: Swm Behavior In Developed and Developing Countriesmentioning

confidence: 99%

Social Surveys about Solid Waste Management within Higher Education Institutes: A Comparison

et al. 2017

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“…As the most populous and largest developing country, along with fast urbanization and industrialization, the climbing MSW of China has become an urgent threat to environmental safety and human health [29,30]. Although a flat-rate fee was initiated in the middle of the 1990s, and a voluntary source separation program of MSW with a small subsidy was put forward in June of 2000 at eight pilot cities, due to inadequate waste disposal equipment and poor disposal habits of households [31], the overall reduction effect of the pilot program of MSW source separation is unsatisfactory [32].…”

Section: Introductionmentioning

confidence: 99%

The Crowding-Out Effects of Garbage Fees and Voluntary Source Separation Programs on Waste Reduction: Evidence from China

2016

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This paper examines how and to what degree government policies of garbage fees and voluntary source separation programs, with free indoor containers and garbage bags, can affect the effectiveness of municipal solid waste (MSW) management, in the sense of achieving a desirable reduction of per capita MSW generation. Based on city-level panel data for years 1998-2012 in China, our empirical analysis indicates that per capita MSW generated is increasing with per capita disposable income, average household size, education levels of households, and the lagged per capita MSW. While both garbage fees and source separation programs have separately led to reductions in per capita waste generation, the interaction of the two policies has resulted in an increase in per capita waste generation due to the following crowding-out effects: Firstly, the positive effect of income dominates the negative effect of the garbage fee. Secondly, there are crowding-out effects of mandatory charging system and the subsidized voluntary source separation on per capita MSW generation. Thirdly, small subsidies and tax punishments have reduced the intrinsic motivation for voluntary source separation of MSW. Thus, compatible fee charging system, higher levels of subsidies, and well-designed public information and education campaigns are required to promote household waste source separation and reduction.

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“…Villa et al reviewed the risk assessment methodology and its limitations in the chemical processing industry [16]. This method has also attracted much attention in the fields of medical care, transportation, disaster warning, and accident analysis [17][18][19] [20]. Francis et al used Bayesian Belief Networks (BBN) to construct a knowledge model for pipe breaks in a water zone [21].…”

Section: Introductionmentioning

confidence: 99%

Risk Analysis of Chemical Plant Explosion Accidents Based on Bayesian Network

Zhu

et al. 2019

Sustainability

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Many chemical plant explosion accidents occur along with the development of the chemical industry. Meanwhile, the interaction and influence of various factors significantly increase the uncertainty of the evolution process of such accidents. This paper presents a framework to dynamically evaluate chemical plant explosion accidents. We propose twelve nodes to represent accident evolution and establish a Bayesian network model for chemical plant explosion accidents, combining historical data with expert experience to support the prevention, management, and real-time warning. Hypothetical scenarios and catastrophic explosion scenarios were analyzed by setting different combinations of states for nodes. Moreover, the impacts of factors such as factory type, material form, accident equipment, the emergency response on casualty and property loss are evaluated. We find that sensitivity of property loss and casualties to factory type and ongoing work are less significant; the equipment factors result in more casualties than that from personnel factors; the impact of emergency response on the accident results is significant; equipment safety management and personnel safety training are the most important measures to prevent chemical plant explosion risks.

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Research on Factors Influencing Municipal Household Solid Waste Separate Collection: Bayesian Belief Networks

Cited by 27 publications

References 38 publications

Social Surveys about Solid Waste Management within Higher Education Institutes: A Comparison

Social Surveys about Solid Waste Management within Higher Education Institutes: A Comparison

The Crowding-Out Effects of Garbage Fees and Voluntary Source Separation Programs on Waste Reduction: Evidence from China

Risk Analysis of Chemical Plant Explosion Accidents Based on Bayesian Network

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