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Discerning and Addressing Environmental Failures in Policy Scenarios Using Planning Support System (PSS) Technologies

Author

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  • Brian Deal

    (Department of Landscape Architecture, University of Illinois, Champaign, IL 61820, USA)

  • Haozhi Pan

    (Department of Urban and Regional Planning, University of Illinois, Champaign, IL 61820, USA)

Abstract

The environmental consequences of planning decisions are often undervalued. This can result from a number of potential causes: (a) there might be a lack of adequate information to correctly assess environmental consequences; (b) stakeholders might discount the spatial and temporal impacts; (c) a failure to understand the dynamic interactions between socio-ecological systems including secondary and tertiary response mechanisms; or (d) the gravity of the status quo, i.e., blindly following a traditional discourse. In this paper, we argue that a Planning Support System (PSS) that enhances an assessment of environmental impacts and is integral to a community or regional planning process can help reveal the true environmental implications of scenario planning decisions, and thus improve communal planning and decision-making. We demonstrate our ideas through our experiences developing and deploying one such PSS—the Land-use Evolution and impact Assessment Model (LEAM) Planning Support System. University of Illinois researchers have worked directly with government planning officials and community stakeholders to analyze alternate future development scenarios and improve the planning process through a participatory, iterative process of visioning, model tuning, simulation, and discussion. The resulting information enables an evaluation of alternative policy or investment choices and their potential environmental implications that can change the way communities both generate and use plans.

Suggested Citation

  • Brian Deal & Haozhi Pan, 2016. "Discerning and Addressing Environmental Failures in Policy Scenarios Using Planning Support System (PSS) Technologies," Sustainability, MDPI, vol. 9(1), pages 1-17, December.
  • Handle: RePEc:gam:jsusta:v:9:y:2016:i:1:p:13-:d:85974
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    References listed on IDEAS

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    1. Deal, Brian & Schunk, Daniel, 2004. "Spatial dynamic modeling and urban land use transformation: a simulation approach to assessing the costs of urban sprawl," Ecological Economics, Elsevier, vol. 51(1-2), pages 79-95, November.
    2. Francesca Pagliara & Michiel de Bok & David Simmonds & Alan Wilson (ed.), 2013. "Employment Location in Cities and Regions," Advances in Spatial Science, Springer, edition 127, number 978-3-642-31779-8.
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    6. Brian Deal & Jae Hong Kim & Geoffrey J. D. Hewings & Yong Wook Kim, 2013. "Complex Urban Systems Integration: The LEAM Experiences in Coupling Economic, Land Use, and Transportation Models in Chicago, IL," Advances in Spatial Science, in: Francesca Pagliara & Michiel de Bok & David Simmonds & Alan Wilson (ed.), Employment Location in Cities and Regions, edition 127, chapter 0, pages 107-131, Springer.
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    2. Tianren Yang, 2020. "Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework," Environment and Planning B, , vol. 47(8), pages 1440-1455, October.
    3. Songtang He & Daojie Wang & Yong Li & Peng Zhao, 2018. "Land Use Changes and Their Driving Forces in a Debris Flow Active Area of Gansu Province, China," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    4. Omaid Najmuddin & Xiangzheng Deng & Ruchira Bhattacharya, 2018. "The Dynamics of Land Use/Cover and the Statistical Assessment of Cropland Change Drivers in the Kabul River Basin, Afghanistan," Sustainability, MDPI, vol. 10(2), pages 1-18, February.

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