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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Technologies and decision support systems to aid solid-waste management: a systematic review.

Angelina Vitorino de Souza Melaré1, Sahudy Montenegro González2, Katti Faceli2

  • 1Faculdade de Tecnologia Dom Amaury Castanho - FATEC Itu, Brazil.

Waste Management (New York, N.Y.)
|November 14, 2016
PubMed
Summary

This study reviews decision support systems for solid waste management (SWM). It analyzes information and communication technologies (ICTs) and operations research (OR) methods used in SWM from 2010-2013.

Keywords:
Decision support systemInformation and communication technologiesOperations researchRecyclingSolid-waste managementSystematic review

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Area of Science:

  • Environmental Science
  • Operations Research
  • Information and Communication Technology

Background:

  • Urban population growth and industrial development exacerbate environmental, social, and economic issues.
  • Inadequate management of urban solid waste presents significant environmental challenges.
  • Sustainable solid waste management (SWM) requires effective collection, treatment, and disposal strategies.

Purpose of the Study:

  • To systematically review scientific publications on decision support systems for SWM.
  • To analyze the application of Information and Communication Technologies (ICTs) and Operations Research (OR) in SWM between 2010 and 2013.
  • To identify research trends, adopted methods, and geographical focus in SWM solutions.

Main Methods:

  • Systematic literature review of 87 relevant publications from 2010-2013.
  • Statistical analysis of ICTs and OR methods employed in SWM.
  • Examination of SWM processes where these technologies were applied.
  • Analysis of global research efforts in SWM.

Main Results:

  • Identified prevalent ICTs and OR methods used in SWM.
  • Mapped the application of these methods across different SWM processes.
  • Highlighted key countries actively researching SWM solutions.
  • Detailed the integration of ICTs and OR in developed SWM solutions.

Conclusions:

  • The review provides insights into effective technologies and methods for addressing SWM challenges.
  • Identified research gaps and areas for future exploration in SWM technologies and processes.
  • Aims to assist researchers and managers in selecting appropriate ICT and OR tools for SWM.