Elsevier

Waste Management

Volume 52, June 2016, Pages 50-61
Waste Management

A system dynamics model to evaluate effects of source separation of municipal solid waste management: A case of Bangkok, Thailand

https://doi.org/10.1016/j.wasman.2016.03.026Get rights and content

Highlights

  • Influential variables for MSW collection and transportation are identified.

  • Impacts of source separation on effectiveness of waste collection are presented.

  • Strategic plans that encourage residents to do source separation are proposed.

  • Dynamic effects of source separation on MSW collection in Bangkok are analyzed.

  • Six scenarios show dynamic behavior of related variables in a 120-month period.

Abstract

Municipal solid waste has been considered as one of the most immediate and serious problems confronting urban government in most developing and transitional economies. Providing solid waste performance highly depends on the effectiveness of waste collection and transportation process. Generally, this process involves a large amount of expenditures and has very complex and dynamic operational problems. Source separation has a major impact on effectiveness of waste management system as it causes significant changes in quantity and quality of waste reaching final disposal. To evaluate the impact of effective source separation on waste collection and transportation, this study adopts a decision support tool to comprehend cause-and-effect interactions of different variables in waste management system. A system dynamics model that envisages the relationships of source separation and effectiveness of waste management in Bangkok, Thailand is presented. Influential factors that affect waste separation attitudes are addressed; and the result of change in perception on waste separation is explained. The impacts of different separation rates on effectiveness of provided collection service are compared in six scenarios. ‘Scenario 5’ gives the most promising opportunities as 40% of residents are willing to conduct organic and recyclable waste separation. The results show that better service of waste collection and transportation, less monthly expense, extended landfill life, and satisfactory efficiency of the provided service at 60.48% will be achieved at the end of the simulation period. Implications of how to get public involved and conducted source separation are proposed.

Introduction

Municipal solid waste (MSW) is regarded as unwanted materials to be disposed of. MSW relates to a broad array of issues, such as social, economic, environmental, technological, and legislative. It has been considered to be one of the most immediate and serious problems confronting urban city in most developing and transitional economies (UN Habitat, 2010). Currently, the world approximately generates 1.3 billion tonnes of MSW a year and is expected to increase to 2.2 billion tonnes by 2025 (World Bank, 2012).

Municipal solid waste management (MSWM) is one of the municipal services that should be effectively and equally provided to all residents to make them reach adequate well-being. Having been considered as a serious problem confronting urban government, provided solid waste performance highly depends on the effectiveness of waste collection and transportation process, a contact point between waste generators and waste management systems. The process is one of the costliest urban services in developing countries, where local authorities spend 20–50% of their budget on this service (UN Habitat, 2010).

Waste separation at source is subjectively done by individuals collecting recyclable or compostable materials from commingle and placing them at the disposal locations at their household for collection. The main purposes of source separation are recycling, reusing, and reducing environmental as well as economic burdens to the MSWM systems (Lardinois and Furedy, 1999). The major impact on effectiveness of MSWM system comes from the separation of waste causing essential changes in the quantity and quality of waste reaching final management process or waste treatment and disposal (World Bank, 2012).

Waste separation is considered as human attitudinal ambivalence on MSWM. It is subjective expressing by evaluation of a specific entity with different degree of favor or disfavor (Eagly and Chaiken, 1993). Factors that affect human attitudes are habit, attitudes toward target, punishment or reward, social norms, and self-identified outcomes. Perception of waste separation is influenced by many factors, among many of them, incentive based (i.e. cash, vouchers, discount coupons, and goods) and knowledge based (i.e. types of recyclables, importance of effective MSWM system, public benefits, and environmental education) factors are the potential ones (OECD, 2012, Shirahada and Fisk, 2014).

A great deal of research in recent years has evolved to adopt decision support tools to design management systems. Optimization models have widely been used as supporting tools offering a static optimization for selecting the best system. Najm and El-Fadel (2004) emphasized the importance of optimization models for waste management by assessing the importance of user-friendly software tools.

System dynamics (SD) modeling is one of the optimization supporting tools offering a useful modeling approach as it can comprehensively model the dynamic behavior of all processes among all involved variables. In MSWM, SD models can be used for assessing real situation, which simulation is a technique used to study cause-and-effect interactions of different variables on the performance of a closed-loop chain (Ilgin and Gupta, 2010). SD features allow modelers to model feedback loops, time delays, and both linear and non-linear interactions of variables in all processes in the integrated waste management in the real world situation. Over the past decades, the applications of SD have been prevalent in studies covering a wide array of disciplines, such as MSWM systems in the Netherlands and India (Yücel et al., 2008); business system (Sterman, 2000), environmental sustainability (Kunsch and Springael, 2008), strategic management (Warren, 2005), decision-making systems (Nail et al., 1992), and environmental impact assessment (Vizayakumar and Mohapatra, 1993).

The prediction of municipal solid waste generation plays an important role in MSWM. In Mashayekhi (1993), SD models consisted of qualitative aspects on waste generation and separation of recyclable waste at source to analyze the impacts of transition from landfill to other methods of waste disposal. The models have been used as a basis for forecasting MSW generation and planning sustainable MSWM in developing countries (Hao et al., 2007). Wang (2001) developed a model to deal with integrated waste management system focusing on MSW generation, collection and transportation system and its associated economic and environmental impacts. Dyson and Chang (2005) simulated five different models presenting useful results for associated MSWM system planning with future generated quantities of MSW, site selection, cost assessment, and capacity planning of MSW. The prediction of MSW generation model of Sufian and Bala (2007) showed potential to be used in the assessment of treatment facilities to achieve a desired environmental quality improvement. Apart from being used as a tool to support MSWM policy analysis, by means of SD, the results have shown that MSWM models provide a better understanding of dynamic interactions and interdependencies of key concerns of MSWM processes.

This study is, therefore, carried out to develop a comprehensive model that envisages the dynamic relationships between source separation and effectiveness of MSWM in Bangkok by applying the SD approach. The detailed objective of the study is to identify essential variables for MSW collection and transportation that would support the management system toward a more effective and efficient municipal service. The study also aims to compare impacts of source separation on effectiveness of waste collection and transportation service provided by the Bangkok Metropolitan Administration (BMA) in different scenarios.

Section snippets

Source separation of MSWM

Source separation of waste is subjectively done by individuals collecting recyclable or compostable materials from commingle, sorting them into types at the place where the waste is generated, and putting them into different containers for collection (Rousta et al., 2015). The main purposes of source separation are recycling, reusing, and enhancing MSWM service (Lardinois and Furedy, 1999). It has become a successful front-end waste management method that leads to increase in collected

Data collection

The three transfer stations in Bangkok are considered as three sub-systems of waste collection and transportation system in Bangkok. In this study Saimai transfer station is selected to be a study site representing current performance of waste collection and transportation service providing to Bangkok residents residing in the service area. The study’s main objective is to project BMA’s MSWM performance of collection and transportation, which means from the point that MSW is collected to the

Model simulation results and discussion

Table 3 presents the simulated results of essential variables that represent performance of MSW collection and transportation service provided in the 14 districts. The best performance of this municipal service provision is demonstrated by the MSW collection and transportation service efficiency value.

For all scenarios, MSW generation quantity for all 14 districts increases from about 118,000 tonnes/month in 2013 to about 140,000 tonnes/month in 2023 or about 16% higher over a period of ten

Conclusions

SD modeling approach has been recognized as a decision support tool that has ability to combine the notions of systemic approach and minimize the impacts in dynamic situation. This directly associates with MSWM. In the simulated results, six scenarios present the current situation and how waste collection and transportation service should be if different rates of source separation were done by waste generators under the assumption of having the same amount of available management resources.

In

Acknowledgements

The authors thank the officers and staff of the BMA for important on-site data support at Saimai waste transfer station. The authors gratefully acknowledge the financial support provided by Thammasat University, Thailand under the TU Research Scholar, Contract No. 1/2559. This study was supported under a Grant in the SIIT-JAIST-NECTEC Dual Doctoral Degree Program.

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