Land-development scenarios as a means of representing the future have been in the planner's toolkit for several decades. In this paper we provide a systematic view of four basic issues that concern scenarists and scenario users—the concepts, functions, credentials, and efficacy of land-development scenarios. Drawing upon the wealthy and expanding pool of knowledge and experience as reported in the literature, we put forward the notion that a land-development scenario set is both a bridge that connects the process of modeling with that of planning and a cognitive apparatus that stretches people's thinking and broadens their views in planning. The dual function entitles a scenario set to be a favored member of a family of innate instruments that humans operate in making decisions. Under this overarching framework, we propose three credentials that are by no means exhaustive yet are claimed to be essential for a scenario set to perform best the dual function. These are plausible unexpectedness, informational vividness, and cognitively ergonomic design. After exploring the efficacy issue of a scenario set with respect to its impacts on communities at large, we suggest that basic research efforts be underway that aim at the development of unified theories of land-development scenarios, or even scenarios in general, under a possible name of scenariology—the study of scenarios.
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References
1.
AckoffR L, 1979a, “The future of operational research is past”Journal of the Operational Research Society30(2) 93–99
2.
AckoffR L, 1979b, “Restructuring the future of operational research”Journal of the Operational Research Society30(3) 189–199
3.
AmaraR, 1988, “What we have learnt about forecasting and planning”Futures20385–401
4.
AndersonJ R, 1993, “Knowledge representation”, in Rules of the Mind Ed. AndersonJ R (Lawrence Erlbaum Associates, Hillsdale, NJ) pp 17–44
5.
APA, 1996Growing Smart Legislative Guidebook: Model Statutes for Planning and the Management of Change (American Planning Association, Chicago, IL)
6.
AubryRKeuperASchurS, 2002, “An assessment of residential development suitability, Santa Barbara, California: A project report”, Department of Geography, University of California, Santa Barbara, CA
7.
AvinU PDembnerJ L, 2000, “Using scenarios to improve plan-making”, paper presented at ACSP Conference, Atlanta, Georgia; copies available fromLDR International, 9175 Guilford Road, Columbia, MD 21046
8.
BattyM, 1994, “A chronicle of scientific planning: An Anglo-American modeling experience”Journal of the American Planning Association607–17
9.
BattyM, 2001, “Visualizing the city: Communicating urban design to planners and decision makers”, in Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools Eds BrailR KKlostermanR E (ESRI Press, Redlands, CA) pp 405–443
10.
BazermanM, 2002Judgment in Managerial Decision Making5th edition (John Wiley, New York)
11.
BearG, 2001, “Introduction”, in The Last War: A World Set Free Ed. WellsH G (University of Nebraska Press, Lincoln, NE) pp vii–xxiv
12.
BeckerH S, 1983, “Scenarios: A tool of growing importance to policy analysts in government and industry”Technological Forecasting and Social Change23(2) 95–120
13.
BerlinI, 1966The Hedgehog and the Fox: An Essay on Tolstoy's View of History (Simon and Schuster, New York)
14.
BonnettT WOlsonR L, 1998, “How scenarios enrich public policy decisions”, in Learning From the Future: Competitive Foresight Scenarios Eds FaheyLRobertM (John Wiley, New York) pp 308–324
15.
BriggsA, 1972, “Introduction”, in The Battle of Dorking Controversy: A Collection of Pamphlets with an Introduction by Asa Briggs Ed. ChesneyG T (Cornmarket Reprints, London) pp i–v
16.
BrillE DJrFlachJ MHopkinsL DRanjithanS, 1990, “MGA: A decision support system for complex, incompletely defined problems”IEEE Transactions on Systems, Man, and Cybernetics20745–757
17.
BroadbentD E, 1975, “The magic number seven after fifteen years”, in Studies in Long Term Memory Eds KennedyAWilkesA (John Wiley, Chichester, Sussex) pp 3–18
18.
BunnD WSaloA A, 1993, “Forecasting with scenarios”European Journal of Operational Research68291–303
19.
CarlsonM, 1977, “Public feedback for the Club of Rome”, in Goals in a Global Community: The Original Background Papers for Goals for Mankind, a Report to the Club of Rome: Volume I— Studies on the Conceptual Foundations Eds LaszloEBiermanJ (Pergamon Press, New York) pp 287–295
20.
CaverniJ-PPerisJ-L, 1990, “The anchoring-adjustment heuristic in an ‘information rich, real world setting’: Knowledge assessment by experts”, in Cognitive Biases Eds CaverniJ-PFabreJ-MGonzalezM (North-Holland, Amsterdam) pp 35–45
21.
ChesneyG T, 1871The Battle of Dorking: Reminiscences of A Volunteer: From Blackwood's Magazine, May 1871 (William Blackwood, Edinburgh)
22.
ChesneyG T, 1997The Battle of Dorking Introduced by I F Clarke (Oxford University Press, Oxford)
23.
CislerW L, 1966, “Preface: For the Detroit Edison Company”, in Emergence and Growth of an Urban Region: The Developing Urban Detroit Area—Volume 1. Analysis Ed. DoxiadisC A (Detroit Edison, Detroit, MI) pp iii–iv
ClarkeI F, 1997, “Introduction”, in The Battle of Dorking Ed. ChesneyG T (Oxford University Press, Oxford) pp i–xxi
26.
ClarkeK C, 2002, “Geocomputation's future at the extremes: High performance computing and nanoclients”, working paper, Department of Geography and National Center for Geographic Information and Analysis, University of California, Santa Barbara, CA
27.
CoatesJ F, 2000, “Scenario planning”Technological Forecasting and Social Change65(1) 115–123
28.
CowanN, 2000, “The magical number 4 in short-term memory: A reconsideration of mental storage capacity”Behavioral and Brain Sciences2487–185
29.
DavidsonJ E, 1995, “The suddenness of insight”, in The Nature of Insight (MIT Press, Cambridge, MA) pp 125–155
30.
DavisN P, 1968Lawrence and Oppenheimer (Simon and Schuster, New York)
31.
DiaoYXiangW-N, 2002, “Button design for map overlays (2)”Environment and Planning B: Planning and Design29673–685
32.
DoxiadisC A, 1966Emergence and Growth of An Urban Region: The Developing Urban Detroit Area—Volume 1. Analysis (Detroit Edison, Detroit, MI)
33.
DoxiadisC A, 1967Emergence and Growth of an Urban Region: The Developing Urban Detroit Area—Volume 2. Future Alternatives (Detroit Edison, Detroit, MI)
34.
DoxiadisC A, 1970Emergence and Growth of an Urban Region: The Developing Urban Detroit Area—Volume 3. A Concept for Future Development (Detroit Edison, Detroit, MI)
ElkingtonJTrisoglioA, 1996, “Developing realistic scenarios for the environment: Lessons from Brent Spar”Long Range Planning29762–769
37.
EnzleM EHansenR DLoweC A, 1975, “Humanizing the mixed-motive paradigm: Methodological implications from attribution theory”Simulation and Games6151–165
38.
FabosJ GCaswellS J, 1977, “Composite landscape assessment: Assessment procedures for special resources, hazards and development suitability: Part II of the Metropolitan Landscape Planning Model (METLAND)”, Massachusetts Agricultural Experiment Station, University of Massachusetts, College of Food and Natural Resources, Amherst, MA
39.
FabosJ GGreeneC MJoynerS AJr, 1978, “The METLAND landscape planning process: Composite landscape assessment, alternative plan formulation and plan evaluation; part 3 of the Metropolitan Landscape Planning Model”, Research Bulletin 653, Massachusetts Agricultural Experiment Station, University of Massachusetts, College of Food and Natural Resources, Amherst, MA
40.
GodetM, 2000, “The art of scenarios and strategic planning: Tools and pitfalls”Technological Forecasting and Social Change65(1) 3–22
41.
GodetMRoubelatF, 1996, “Creating the future: The use and misuse of scenarios”Long Range Planning29(2) 164–171
42.
GrossMFabosJ G, 1984, “Resource accountability in landscape planning: The METLAND approach”, in Computer-aided Land Use Planning and Management Eds FabosJ GPetrasovitsI (Massachusetts Agricultural Experiment Station, University of Massachusetts, College of Food and Natural Resources, Amherst, MA) pp 25–45
43.
HammondJ SKeeneyR LRaiffaH, 1999Smart Choices: A Practical Guide to Making Better Decisions (Harvard Business School Press, Boston, MA)
44.
HarrisB, 1967, “The city of the future”Papers of the Regional Science Association19185–195
45.
HeathCLarrickR PKlaymanJ, 1998, “Cognitive repairs: How organizational practices can compensate for individual shortcomings”Research in Organizational Behavior201–37
46.
HeuerR JJr, 1999, “Psychology of Intelligence Analysis” (Center for the Study of Intelligence, Central Intelligence Agency, Washington, DC)
47.
HirschhornL, 1980, “Scenario writing: A developmental approach”Journal of the American Planning Association46172–183
48.
HochS J, 1984, “Availability and inference in predictive judgment”Journal of Experimental Psychology: Learning, Memory, and Cognition10649–662
49.
HofmeisterPJoentgenAMikeninaLWeberRZimmermannH J, 2000, “Reduction of complexity in scenario analysis by means of dynamic fuzzy data analysis”OR Spektrum22403–420 [in German]
50.
HopkinsL D, 2000, “Integrating knowledge about land use and the environment through use of multiple models”, paper presented at the Symposium on Integrating Land Use and Environmental Models: Forging a Research Agenda for the Next Generation of Models, 20–21 October, Arizona State University; copies available from authors
51.
HopkinsL D, 2001Urban Development: The Logic of Making Plans (Island Press, Washington, DC)
52.
HubacekKSunL, 2001, “A scenario analysis of China's land use and land cover change: Incorporating biophysical information into input–output modeling”Structural Change and Economic Dynamics12367–397
53.
HuffmanB, 2001, “What makes a strategy brilliant?”Business Horizons44(4) 13–20
54.
InnesJ E, 1996, “Planning through consensus building: A new view of the comprehensive planning ideal”Journal of American Planning Association62460–472
55.
JantzCShelleyMGoetzSSmithA, 2002, “Modeling future growth in the Washington, DC area: Report to the Chesapeake Bay Foundation”, Department of Geography, Mid-Atlantic Regional Earth Science Applications Center, University of Maryland, College Park, MD
56.
KahnHWienerA J, 1967The Year 2000: A Framework for Speculation on the Next Thirty-three Years with contributions from other staff members of the Hudson Institute (Macmillan, New York)
57.
KaiserE JGodschalkD RChapinF SJr, 1995Urban Land Use Planning4th edition (University of Illinois Press, Urbana, IL)
58.
KhakeeA, 1991, “Scenario construction for urban planning”Omega: International Journal of Management Science19459–469
59.
KlostermanR E, 1999, “The What if? collaborative planning support system”Environment and Planning B: Planning and Design26393–408
60.
KrauseC LMishlerC, 1993Standard Catalog of World Coins (Krause Publications, Iola, WI)
61.
LandisJ DBradshawTHallPTeitzMEganEPamukAShenQSimpsonD, 1993, “How shall we grow? Alternative futures for the Greater San Francisco Bay Region”, California Policy Seminar, Berkeley, CA; copy available from Institute of Urban and Regional Development, University of California, Berkeley, CA
62.
LangendorfR, 2001, “Computer-aided visualization: Possibilities for urban design, planning, and management”, in Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools Eds BrailR KKlostermanR E (ESRI Press, Redlands, CA) pp 309–359
63.
LarkinJ HSimonH A, 1987, “Why a diagram is (sometimes) worth ten thousand words”Cognitive Science1165–99
64.
LaszloE, 1977, “The Club of Rome of the future vs. the future of the Club of Rome”, in Goals in a Global Community: The Original Background Papers for Goals for Mankind, a Report to the Club of Rome: Volume I—Studies on the Conceptual Foundations Eds LaszloEBiermanJ (Pergamon Press, New York) pp 281–285
65.
LeemhuisJ P, 1985, “Using scenarios to develop strategies”Long Range Planning18(2) 30–37
66.
McHargI L, 1992Design with Nature (John Wiley, New York)
67.
MajoneG, 1984, “A good decision is more than a right decision”Acta Psychologica5615–18
68.
MayerR E, 1995, “The search for insight: Grappling with Gestalt psychology's unanswered questions”, in The Nature of Insight Eds SternbergR JDavidsonJ E (MIT Press, Cambridge, MA) pp 3–32
69.
MeadowsD HMeadowsD LRandersJBehrensW WIII, 1972The Limits to Growth: A Report for the Club of Rome's Project on the Predicament of Mankind (Universe Books, New York)
70.
MeadowsD HMeadowsD LRandersJ, 1992Beyond the Limits: Confronting Global Collapse, Envisioning a Sustainable Future (Chelsea Green, Post Mills, VT)
71.
MillerG A, 1956, “The magical number seven, plus or minus two: Some limits on our capacity for processing information”Psychological Review63(2) 81–97
72.
MillettS M, 1988, “How scenarios trigger strategic thinking”Long Range Planning21(5) 61–68
73.
MyersD, 2001, “Symposium: Putting the future in planning: Introduction”Journal of American Planning Association67365–367
74.
MyersDKitsuseA, 2000, “Constructing the future in planning: A survey of theories and tools”Journal of Planning Education and Research19(3) 221–231
75.
NewellA, 1990Unified Theories of Cognition (Harvard University Press, Cambridge, MA)
76.
NisbettRRossL, 1980Human Inference: Strategies and Shortcomings of Social Judgment (Prentice-Hall, Englewood Cliffs, NJ)
77.
PhelpsRChanCKapsalisS C, 2001, “Does scenario planning affect performance? Two exploratory studies”Journal of Business Research51(3) 223–232
78.
PomerolJ-C, 2001, “Scenario development and practical decision making under uncertainty”Decision Support Systems31197–204
79.
PorterM E, 1985Competitive Advantage: Creating and Sustaining Superior Performance (The Free Press, New York)
80.
PrielerSLeskoA PAnderbergS, 1998, “Three scenarios for land-use change: A case study in Central Europe”, RR-98-3 May, International Institute for Applied Systems Analysis, Laxenburg, Austria
81.
RobertsJ S, 1975Energy, Land Use, and Growth Policy: Implications for Metropolitan Washington2nd edition (National Technical Information Service, US Department of Commerce, Washington, DC)
82.
RussoJ ESchoemakerP J H, 1989Decision Traps: Ten Barriers to Brilliant Decision-making and How to Overcome Them (Doubleday and Currency, New York)
SaatyT L, 1980The Analytical Hierarchy Process: Planning, Priority Setting, Resource Allocation (McGraw-Hill, New York)
85.
SchnaarsSZiamouP, 2001, “The essentials of scenario writing”Business Horizons44(4) 25–31
86.
SchneiderJ B, 1972, “Plan review: Doxiadis' Detroit: Forty-nine million alternatives”Journal of the American Institute of Planners38(5) 332–333
87.
SchoemakerP J H, 1991, “When and how to use scenario planning: A heuristic approach with illustration”Journal of Forecasting10549–564
88.
SchoemakerP J H, 1993, “Multiple scenario development: Its conceptual and behavioral foundation”Strategic Management Journal14(3) 193–213
89.
SchoemakerP J H, 1995, “Scenario planning: A tool for strategic thinking”Sloan Management Review36(2) 25–40
90.
SchwartzP, 1996The Art of the Long View: Planning for the Future in an Uncertain World (Doubleday, New York)
91.
ShifferM J, 2001, “Spatial multimedia for planning support”, in Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools Eds BrailR KKlostermanR E (ESRI Press, Redlands, CA) pp 361–385
92.
SimonH A, 1974, “How big is a chunk?”Science183482–488
Stuart-HamiltonI, 1995Dictionary of Cognitive Psychology (Jessica Kingsley, London)
95.
TverskyAKahnemanD, 1974, “Judgment under uncertainty: Heuristics and biases: Biases in judgments reveal some heuristics of thinking under uncertainty”Science1851124–1131
96.
UCIME, 2001, “Urban Change—Integrated Modeling Environment”, Department of Geography, University of California at Santa Barbara, http://www.geog.ucsb.edu/∼kclarke/ucime/
97.
van der HeijdenK, 2000, “Scenarios and forecasting: Two perspectives”Technological Forecasting and Social Change65(1) 31–36
98.
van HuylenbroeckGCoppensA, 1995, “Multicriteria analysis of the conflicts between rural development scenarios in the Gordon district”Scotland Journal of Environmental Planning and Management38393–407
99.
VlekC, 1984, “Good decisions and methodological dilemmas: A postscript”Acta Psychologica5622–27
100.
WackP, 1985a, “Scenarios: Uncharted waters ahead”Harvard Business Review63(5) 72–89
101.
WackP, 1985b, “Scenarios: Shooting the rapids”Harvard Business Review63(6) 139–150
102.
Wallace-McHargAssociates, 1964, “Plan for the valleys”, prepared for the Green Spring and Worthington Valley Planning Council, Inc., Philadelphia; copy available from Wallace Robert and Todd, LLC, 260 South Broad Street, 8th Floor, Philadelphia, PA 19102
103.
WellsH G, 1980The Door in the Wall: And Other Stories (David R Godine, Boston, MA)
104.
WilsonI H, 2000, “From scenario thinking to strategic action”Technological Forecasting and Social Change65(1) 23–29
105.
WollenbergI EEdmundsDBuckL, 2000a, “Using scenarios to make decisions about the future: Anticipatory learning for the adaptive co-management of community forests”Landscape and Urban Planning4765–77
106.
WollenbergEEdmundsDBuckL, 2000b, “Anticipating change: Scenarios as a tool for adaptive forest management: A guide”, Center for International Forestry Research, Bogor, Indonesia
107.
XiangW-NWhitleyD L, 1994, “Weighting land suitability factors by the PLUS method”Environment and Planning B: Planning and Design21273–304
108.
YaroR DHissT, 1996A Region at Risk: The Third Regional Plan/or the New York – New Jersey – Connecticut Metropolitan Area (Island Press, Washington, DC)
