Robust plans and contingent plans: Scenario Planning for an Uncertain World

Arnab Chakraborty, Nikhil Kaza, Gerrit Jan Knaap, Brian Deal

Research output: Contribution to journalArticle

Abstract

Problem: The practice of scenario planning is often too focused on developing a single preferred scenario and fails to adequately consider multiple uncertain futures. The U.S. Department of Housing and Urban Development recently awarded grants for scenario planning at regional and metropolitan scales that further promote this practice. However, a lack of systematic analysis of uncertainty limits the role of scenario planning. Purpose: The purpose of this article is to demonstrate how to incorporate uncertainty into large-scale scenario analysis and then use that framework to identify contingent and robust plans. Methods: We adapt the concepts of controllable internal options and uncontrollable external forces and consider their interactions in order to develop future scenarios and identify contingent and robust decisions. We then apply this technique using advanced econometric, land use, and transportation models developed for the Baltimore-Washington metropolitan region and its vicinity. Finally, based on the results of a hypothetical, yet plausible, exercise, we show how contingent and robust decisions can help local and regional governments develop contingent and robust plans. Results and conclusions: Scenarios developed as a combination of internal options and external forces allow us to identify a wider range of future impacts than in traditional metropolitan scenario planning. Robust plans support choices that offer benefits across scenarios. Contingent plans can be tailored to specific futures. Takeaway for practice: By providing a way to think systematically about uncertainty, scenario analysis promises to improve the efficacy of large-scale planning. Research support: This article was not directly supported by any outside agency, but support for the modeling system was provided by the following organizations: Maryland State Highway Administration, Maryland Department of Transportation, Maryland Department of Planning, U.S. Environmental Protection Agency, and Lincoln Institute of Land Policy.

Original languageEnglish (US)
Pages (from-to)251-266
Number of pages16
JournalJournal of the American Planning Association
Volume77
Issue number3
DOIs
StatePublished - Jun 1 2011

Keywords

  • external forces
  • internal options
  • land use and transportation models
  • robust and contingent plans
  • strategic decision making
  • uncertainty

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Development
  • Urban Studies

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