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A Volunteered Geographic Information-Based Environmental Decision Support System for Waste Management and Decision Making

Author

Listed:
  • Abolghasem Sadeghi-Niaraki

    (Geoinformation Tech. Center of Excellence, Faculty of Geomatics, K.N. Toosi University of Technology, Tehran 19697, Iran
    Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea)

  • Mohammadreza Jelokhani-Niaraki

    (Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, Tehran 1417466191, Iran)

  • Soo-Mi Choi

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea)

Abstract

The need for in-depth and fast observation of waste pollutions, increase in public concerns on environmental pollution and the effect of polluted environment on the physical and mental health of people have led to participatory environmental monitoring and protection. Citizens can act as volunteer, interactive, group, logical, smart, responsible, mobile, and dispersed observers/sensors to constantly monitor their surroundings and provide real-time data of waste pollutions that are not easily remotely sensed. The concept of volunteered geographic information (VGI) can be adopted as an effective phenomenon for participatory collection of environmental pollution data. However, the research problem is how to effectively use these citizen-contributed or volunteered information for waste management analyses and decision-making processes. Consequently, the objective of the present study is to develop a VGI-based environmental decision support tool that facilitates direct involvement of the public in generating waste pollution data and provides appropriate GIS-MCDA (multicriteria decision analysis) analytical tools for waste management and decision making using the citizen-contributed data. A web-based prototype of the decision support system was developed to demonstrate the practical feasibility, applicability and some functionalities of the system for pollution-related decision analyses.

Suggested Citation

  • Abolghasem Sadeghi-Niaraki & Mohammadreza Jelokhani-Niaraki & Soo-Mi Choi, 2020. "A Volunteered Geographic Information-Based Environmental Decision Support System for Waste Management and Decision Making," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6012-:d:390286
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    References listed on IDEAS

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    1. Omidipoor, Morteza & Jelokhani-Niaraki, Mohammadreza & Moeinmehr, Athena & Sadeghi-Niaraki, Abolghasem & Choi, Soo-Mi, 2019. "A GIS-based decision support system for facilitating participatory urban renewal process," Land Use Policy, Elsevier, vol. 88(C).
    2. Shorabeh, Saman Nadizadeh & Firozjaei, Mohammad Karimi & Nematollahi, Omid & Firozjaei, Hamzeh Karimi & Jelokhani-Niaraki, Mohammadreza, 2019. "A risk-based multi-criteria spatial decision analysis for solar power plant site selection in different climates: A case study in Iran," Renewable Energy, Elsevier, vol. 143(C), pages 958-973.
    3. Linda See & Alexis Comber & Carl Salk & Steffen Fritz & Marijn van der Velde & Christoph Perger & Christian Schill & Ian McCallum & Florian Kraxner & Michael Obersteiner, 2013. "Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
    4. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
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