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From Blue-Printing to Finger-Printing: Building Healthy Communities with Scenario Planning

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Planning Support Science for Smarter Urban Futures (CUPUM 2017)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

Scenario -based planning practices are generally conducted in two ways. Both are important and complementary to one another in a sequential way with a regional vision first being laid out as an underlying planning framework followed by a more locally-focused approach tailored to the specifics and uniqueness of a smaller jurisdiction. The two planning practices can be understood from multiple sets of planning theories, including planning as spatial inquiry, planning as communications , and planning as place-making. This chapter illustrates these different perspectives by presenting two scenario planning projects in the US as well as discussing a pilot project in North Carolina. This project employs scenario analysis methods as a way to connect regional blue-printing framework to local finger-printing processes and intends to translate regional planning principles, previously developed by a regional planning project, to a set of executable implementation items customized to a local neighborhood.

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References

  • Albrechts, L. (2004). Strategic (spatial) planning reexamined. Environment and Planning B: Planning and Design, 31, 743–758.

    Article  Google Scholar 

  • Al-Kodmany, K. (2000). Using web-based technologies and geographic information systems in community planning. Journal of Urban Technology, 7(1), 1–30.

    Article  Google Scholar 

  • Allen, E. (2001). INDEX: Software for community indicators. In R. K. Brail & R. E. Klosterman (Eds.), Planning support systems: Integrating geographic information systems, models, and visualization tools (pp. 229–261). Redlands, CA: ESRI Press.

    Google Scholar 

  • Andrews, C. J. (1992). Sorting out a consensus: Analysis in support of multiparty decisions. Environment and Planning B: Planning and Design, 19(2), 189–204.

    Article  Google Scholar 

  • Bartholomew, K. (2005). Integrating land use issues into transportation planning: Scenario planning summary report. Washington, DC: Federal Highway Administration, U.S. Department of Transportation. http://www.trb.org/news/blurb_detail.asp?id=5689

  • Bartholomew, K. (2007). Land use-transportation scenario planning: Promise and reality. Transportation, 34(4), 397–412.

    Article  Google Scholar 

  • Bartholomew, K., & Ewing, R. (2008). Land use-transportation scenarios and future vehicle travel and land consumption: A meta-analysis. Journal of the American Planning Association, 75(1), 13–27.

    Article  Google Scholar 

  • Batty, M. (1994). A chronicle of scientific planning: The Anglo-American modeling experience. Journal of the American Planning Association., 60, 7–16.

    Article  Google Scholar 

  • Bischof, R. J., & Dale, A. P. (1997). Regional resource use planning and GIS: Practice trailing theory. Presented at AURSIA 97, Christchurch, New Zealand, November 19–21, 1997. http://chrrupp.sl.csiro.au/Resources/pdf/rrup-gis.pdf

  • Bradfield, R., Wright, G., Burt, G., Cairns, G., & van der Heijden, K. (2005). The origins and evolution of scenario techniques in long range business planning. Futures, 37(8), 795–812.

    Article  Google Scholar 

  • Chakraborty, A., Kaza, N., Knaap, G.-J., & Deal, B. (2011). Robust plans and contingent plans. Journal of the American Planning Association, 77(3), 251–266.

    Article  Google Scholar 

  • Chaskin, R. J. (2003). Fostering neighborhood democracy: Legitimacy and Accountability within loosely coupled systems. Nonprofit and Voluntary Sector Quarterly, 32(2), 161–189.

    Article  Google Scholar 

  • Council of Europe. (1983). European regional/spatial planning Charter. http://www.coe.int/t/dgap/localdemocracy/cemat/VersionCharte/Charte_bil.pdf

  • Cowen, D. J., & Shirley, W. L. (1991). Integrated planning information systems. In D. J. Maguire, M. F. Goodchild, & D. W. Rhind (Eds.), Geographical information systems, Volume 2: Applications. Longman, UK: Wiley.

    Google Scholar 

  • Echenique, M. H., Hargreaves, A. J., Mitchell, G., & Namdeo, A. (2012). Growing cities sustainably. Journal of The American Planning Association, 78(2), 121–137.

    Article  Google Scholar 

  • ET—Envision Tomorrow. (2014). Tools. http://www.envisiontomorrow.org/tools/

  • Ewing, R. (2007). Research you can use: Regional scenario plans and meta-analysis. Planning, 73(3), 38.

    Google Scholar 

  • Goodspeed, R. (2013). Planning support systems for spatial planning through social learning. Doctoral dissertation submitted to the Department of Urban Studies and Planning, MIT.

    Google Scholar 

  • Harris, B. (1989). Beyond geographical information systems: Computers and the planning professional. Journal of the American Planning Association, 55, 85–92.

    Article  Google Scholar 

  • Healey, P. (1992). Planning through debate: The communicative turn in planning theory. Town Planning Review, 63(2), 143–162.

    Article  Google Scholar 

  • HUD—The US Department of Housing and Urban Development. (2009). Overview: Sustainable communities regional planning grants. http://portal.hud.gov/hudportal/HUD?src=/program_offices/sustainable_housing_communities/sustainable_communities_regional_planning_grants

  • Innes, J. E., & Boober, D. E. (2010). Planning with complexity: An introduction to collaborative rationality for public policy. New York, NY: Routledge.

    Google Scholar 

  • Jantz, C. A., Goetz, S. J., & Shelley, M. K. (2004). Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Baltimore-Washington metropolitan area. Environment and Planning B, 31(2), 251–272.

    Article  Google Scholar 

  • Kahn, H. (1962). Thinking about the unthinkable. Ann Arbor, Michigan: University of Michigan Press.

    Google Scholar 

  • Kliskey, A. D. (1995). The role and function of a GIS as a planning tool in natural resource management. Computers, Environment and Urban Systems, 19(1), 15–22.

    Article  Google Scholar 

  • Klosterman, R. E. (1997). Planning support systems: A new perspective on computer-aided planning. Journal of Planning Education and Research, 17, 45–54.

    Article  Google Scholar 

  • Klosterman, R. E. (1999). The what if? Collaborative planning support system. Environment and Planning B: Planning & Design, 26(3), 393–408.

    Article  Google Scholar 

  • Kwartler, M., & Bernard, R. N. (2001). Communityviz: An integrated planning support system. In R. K. Brail & R. E. Klosterman (Eds.), Planning support systems: Integrating geographic information systems, models, and visualization tools. Redlands, California: ESRI Press.

    Google Scholar 

  • Lemp, J. D., Zhou, B., Kockelman, K. M., & Parmenter, B. M. (2008). Visioning versus modeling: Analyzing the land use-transportation futures of urban regions. Journal of Urban Planning and Development, 134(3), 97–109.

    Article  Google Scholar 

  • Mollenkopf, J., et al. (2001). Place matters: Metropolitics for the twenty-first century. University of Kansas Press.

    Google Scholar 

  • Ogilvy, J. (2002). Creating better futures: Scenario planning as a tool for a better tomorrow. New York: Oxford.

    Google Scholar 

  • Ringland, G. (1998). Scenario planning: Managing for the future. New York: John Wiley.

    Google Scholar 

  • Ringland, G. (2002). Scenarios in public policy. New York: John Wiley.

    Google Scholar 

  • Scheer, B. C. (2012). The Utah model: Lessons for regional planning. Brookings Mountain West Report. http://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1020&context=brookings_pubs

  • Smith, E. (2007). Using a scenario approach: From business to regional futures. In L. D. Hopkins & M. A. Zapata (Eds.), Engaging the future: Using forecasts, scenarios, plans, and projects (pp. 79–101). Cambridge, MA: Lincoln Institute of Land Policy.

    Google Scholar 

  • University of Utah. (2014). Envision Tomorrow Plus. http://www.arch.utah.edu/cgi-bin/wordpress-etplus/

  • Waddell, P. (2002). Urbansim—Modeling urban development for land use, transportation, and environmental planning. Journal of The American Planning Association, 68(3), 297–314.

    Article  Google Scholar 

  • Walker, D., & Daniels, T. L. (2011). The planners guide to Communityviz: The essential tool for a new generation of planning. Chicago: Planners Press, American Planning Association.

    Google Scholar 

  • Wegener, M. (2003). Overview of land-use transportation models. In Proceedings of the 8th International Conference on Computers in Urban Planning and Urban Management, Sendai, Japan, CUPUM, May 27–29, 2003.

    Google Scholar 

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Acknowledgements

The author is grateful for funding to support this research from School of Architecture at the University of North Carolina at Charlotte under Faculty Research Grants 2014–2015. The author thanks the anonymous reviewers for their thorough review and highly appreciates the comments and suggestions.

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Authors and Affiliations

  1. School of Architecture, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA

    Ming-Chun Lee

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  1. Ming-Chun Lee
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Correspondence to Ming-Chun Lee .

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Editors and Affiliations

  1. Faculty of Geosciences, Department of Human Geography and Planning, Utrecht University, Utrecht, The Netherlands

    Stan Geertman

  2. School of Art, Architecture and Design, University of South Australia, Adelaide, South Australia, Australia

    Andrew Allan

  3. UNSW Built Environment, University of New South Wales, Sydney, New South Wales, Australia

    Chris Pettit

  4. School of Geography, University of Leeds, Leeds, West Yorkshire, United Kingdom

    John Stillwell

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Lee, MC. (2017). From Blue-Printing to Finger-Printing: Building Healthy Communities with Scenario Planning. In: Geertman, S., Allan, A., Pettit, C., Stillwell, J. (eds) Planning Support Science for Smarter Urban Futures. CUPUM 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-57819-4_21

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