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System dynamics-based evaluation of interventions to promote appropriate waste disposal behaviors in low-income urban areas: A Baltimore case study.
Guo, Huaqing; Hobbs, Benjamin F; Lasater, Molly E; Parker, Cindy L; Winch, Peter J.
Afiliação
  • Guo H; Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Hobbs BF; Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: bhobbs@jhu.edu.
  • Lasater ME; Social and Behavioral Interventions Program, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Parker CL; Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Winch PJ; Social and Behavioral Interventions Program, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Waste Manag ; 56: 547-60, 2016 Oct.
Article em En | MEDLINE | ID: mdl-27260985
Inappropriate waste disposal is a serious issue in many urban neighborhoods, exacerbating environmental, rodent, and public health problems. Governments all over the world have been developing interventions to reduce inappropriate waste disposal. A system dynamics model is proposed to quantify the impacts of interventions on residential waste related behavior. In contrast to other models of municipal solid waste management, the structure of our model is based on sociological and economic studies on how incentives and social norms interactively affect waste disposal behavior, and its parameterization is informed by field work. A case study of low-income urban neighborhoods in Baltimore, MD, USA is presented. The simulation results show the effects of individual interventions, and also identify positive interactions among some potential interventions, especially information and incentive-based policies, as well as their limitations. The model can help policy analysts identify the most promising intervention packages, and then field test those few, rather than having to pilot test all combinations. Sensitivity analyses demonstrate large uncertainties about behavioral responses to some interventions, showing where information from survey research and social experiments would improve policy making.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Gerenciamento de Resíduos / Reciclagem País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Resíduos Sólidos / Gerenciamento de Resíduos / Reciclagem País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article