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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. 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.
    2. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2005. "A tale of two market failures: Technology and environmental policy," Ecological Economics, Elsevier, vol. 54(2-3), pages 164-174, August.
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    4. El Hadji Fall, 2006. "The Worst-Case Scenario and Discounting the Very Long Term," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00084074, HAL.
    5. Jan K. Brueckner, 2000. "Urban Sprawl: Diagnosis and Remedies," International Regional Science Review, , vol. 23(2), pages 160-171, April.
    6. 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, Fall.
    7. 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.
    8. Weitzman, Martin L., 1998. "Why the Far-Distant Future Should Be Discounted at Its Lowest Possible Rate," Journal of Environmental Economics and Management, Elsevier, vol. 36(3), pages 201-208, November.
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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.
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    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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