Planning-support systems offer an effective way of integrating social, economic, and environmental datasets, enabling a number of holistic spatial planning scenarios to be generated and evaluated by local planners. With increased acceptance of computer technology as a platform for the development and delivery of professional tools, planning-support systems (PSSs) may well be embraced by practitioners to improve current practices, just as computer-aided design (CAD) has been widely accepted by architects as a useful design and visualisation tool. There is some perceived optimism, (or realism?) that this may be the case sooner rather than later. It is believed that ‘What if?’ is one such PSS which is suitable for enhancing current planning practice. The author provides a technical and experiential examination of an application of the What if? PSS in assisting in the formulation of a sustainable land use strategy for Hervey Bay, Australia, supplementing previous published results. The focus of the research is to examine the underlying model and discuss the collaborative application of the PSS with local planners in a scenario-building exercise. Furthermore, the perceived strengths and weaknesses of the PSS are outlined from the perspective of the urban modeller, together with ex-ante feedback from the local planners on the use of the PSS to formulate urban-growth scenarios. In conclusion, the merits of the use of such a PSS are discussed and some future directions for the development of collaborative spatial decision-support tools are offered.
References
1.
AllenE, 2001INDEX: Software for Community Indicators. Planning Support Systems Eds BrailR KKlostermanR E, (ESRI Press, Redlands, CA) pp 229–261
2.
AllenP M, 1998, “Evolutionary complex systems and sustainable development”, in Theory and Implementation of Economic Models for Sustainable Development Eds van den BerghJHofkesJ M, (Kluwer Academic, London) pp 67–100
3.
ArentzeTTimmermansH, 2003, “A multiagent model of negotiation processes between multiple actors in urban developments: A framework for and results of numerical experiments”Environment and Planning B: Planning and Design30, 391–410
4.
Asafu-AdjayeJ, 2000Environmental Economics for Non-economists (World Scientific, Singapore)
5.
BattyM, 1994, “A chronicle of scientific planning: The Anglo-American modeling experience”Journal of the American Planning Association60, 7–16
6.
BattyMXieYSunZ, 1999, “Modelling urban dynamics through GIS-based cellular automata”Computer, Environment and Urban Systems23, 205–233
7.
BellMDeanCBlakeM, 2000, “Forecasting the pattern of urban growth with PUP: A web-based model interfaced with GIS and 3D animation”Computers, Environment and Urban Systems24, 559–581
BesussiEChinN, 2003, “Identifying and measuring urban sprawl”, in Advanced Spatial Analysis: The CASA Book of GIS Eds LongleyPBattyM, (ESRI Press, Redlands, CA) pp 109–128
10.
BrailR K, 2004, “Planning support systems evolving: When the rubber hits the road”, in The Study of Complex Artificial Environments Ed. PortugaliJ, (Springer, New York) forthcoming
11.
BrailR KKlostermanR E, 2001Planning Support Systems (ESRI Press, Redlands, CA)
12.
CartwrightWMillerSPettitC, 2004, “Geographical visualization: Past, present and future development”Journal of Spatial Science49, 25–26
13.
ClarkeK CGaydosL J, 1998, “Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore”International Journal of Geographical Information Science12, 699–714
14.
ClarkeK CHoppenSGaydosL, 1997, “A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area”Environment and Planning B: Planning and Design24, 247–261
15.
DealBVarkkiR, 2003, “The land evolution and impact assessment model (LEAM): Will it play in Peoria?” in Proceedings of the 8th International Conference on Computers in Urban Planning and Urban Management, Sendai, Japan. CUPUM, 27–29 May CD-ROM, http://www.rs.civil.tohoku.ac.jp/∼cupum03
16.
EngelenGWhiteRUljeeIDrazanP, 1995, “Using cellular automata for integrated modelling of socio-environmental systems”Environmental Monitoring and Assessment30, 203–214
17.
EngelenGWhiteRUljeeI, 1997, “Integrating constrained cellular automata models, GIS and decision support tools for urban planning and policy-making”, in Decision Support Systems in Urban Planning Ed. TimmermansH, (Spon, London) pp 125–155
18.
EPA, 2000Projecting Land-use Change: A Summary of Models for Assessing the Effects of Community Growth and Change on Land-use PatternsUnited States Environmental Protection Agency, Washington, DC
ForsterRKytziaS, 2004, “How can integrative modelling contribute to sustainable regional development in practice? The potential of group model building-results of a case study”, in Complexity and Integrated Resources Management: Transactions of the 2nd Biennial Meeting of the International Environmental and Software Society Eds PahlowostlCSchmidtSRizzoliA EJakmanA J, http://www.iemss.org/iemss2004
22.
GeertmanS, 2002, “Participatory planning and GIS: A PSS to bridge the gap”Environment and Planning B: Planning and Design29, 21–35
23.
GeertmanSStillwellJ, 2002Planning Support Systems in Practice (Springer, Berlin)
24.
GeertmanSStillwellJ, 2004, “Participatory planning and GIS: A PSS to bridge the gap”Computers, Environment and Urban Studies28, 291–310
25.
GuhathakurtaS, 2002, “Urban modeling as storytelling: Using simulation models as a narrative”Environment and Planning B: Planning and Design29, 895–911
26.
HaklayW E, 2003, “Public access to environmental information: Past, present and future”Computer, Environment and Urban Systems27, 163–180
27.
HarrisB, 1989, “Beyond geographical information systems: Computers and the planning professional”Journal of the American Planning Association55, 85–92
28.
HBCC, 1996Hervey Bay Town Planning SchemeHervey Bay City Council, Queensland State Government, Brisbane
29.
HealeyP, 1997Collaborative Planning: Shaping Places in Fragmented Societies (MacMillan, London)
30.
HopkinsL D, 1977, “Methods of land suitability analysis”Journal of the American Institute of Planners43, 386–400
31.
JankowskiP, 1995, “Integrating geographical information systems and multiple criteria decisionmaking methods”International Journal of Geographical Information Systems9, 251–273
32.
JankowskiPRichardL, 1994, “Integration of GIS-based suitability analysis and multicriteria evaluation in a spatial decision support system for route selection”Environment and Planning B: Planning and Design21, 323–340
33.
JankowskiPAndrienkoNAndrienkoG, 2001, “Map-centred exploratory approach to multiple criteria spatial decision making”International Journal of Geographical Information Science15, 101–127
34.
KerstenG EMikolajukZYehA G, 2000Decision Support Systems for Sustainable Development: A Resource Book of Methods and Applications (Kluwer Academic, London)
35.
KingstonREvansACarverS, 2002, “Public participation via on-line democracy”, in Planning Support Systems in Practice Eds GeertmanSStillwellJ, (Springer, Berlin) pp 43–64
36.
KlostermanR E, 1999, “The What if? collaborative planning support system”Environment and Planning B: Planning and Design26, 393–408
37.
KwartlerMBernardR, 2001, “CommunityViz: An integrated planning support system”, in Planning Support Systems Eds BrailR KKlostermanR E, (ESRI Inc., Redlands, CA) pp 285–308
38.
LauriniR, 2001Information Systems for Urban Planning—A Hypermedia Co-operative Approach (Taylor and Francis, London)
39.
LeeD, 1973, “Requiem for large-scale models”Journal of the American Institute of Planners39(3) 163–178
40.
LigtenbergABregtAvan LammerenR, 2001, “Multi-actor-based land use modelling: Spatial planning using agents”Landscape and Urban Planning56, 21–33
41.
LowryI S, 1963, “Location parameters in the Pittsburgh model”Papers and Proceedings of the Regional Science Association11, 145–165
42.
LowryI S, 1964A Model of Metropolis (Rand Corporation, Santa Monica, CA)
43.
MacEachrenA MKraakM-J, 2001, “Research challenges in geovisualization”Cartography and Geographical Information Science28(1) 3–12
44.
McGovernA, 1997, “Modelling the South East Queensland regional economy”, Regional and Urban Development Conference, Wellington, New Zealand, 8–12 December; copy available from Regional Science Association International, http://www.regionalscience.org
45.
McHargI, 1969Design with Nature (Doubleday Natural History Press, New York)
46.
MalczewskiJ, 1999GIS and Multicriteria Decision Analysis (John Wiley, Brisbane)
47.
NyergesTJankowskiP, 1997, “Enhanced adaptive structuration theory: A theory of GIS-supported collaborative decision making”Geographical Systems4, 225–259
48.
PettitC, 1999, “A spatial decision support system for assisting in the management of socio-economic urban and regional growth and decline”, The Australasian Urban and Regional Information Systems Association's National Conference, 22–26 November, Blue Mountains, New South Wales; copy available from the author
49.
PettitCPullarD, 1999, “An integrated planning tool based upon multiple criteria evaluation of spatial information”Computer, Environment and Urban Systems23, 339–357
50.
PettitCPullarD, 2004, “A way forward for land-use planning to achieve policy goals by using spatial modelling scenarios”Environment and Planning B: Planning and Design31, 213–233
51.
PettitCShyyTStimsonR, 2002, “An on-line planning support system to evaluate urban and regional planning scenarios”, in Planning Support Systems in Practice Eds GeertmanSStillwellJ, (Springer, London) pp 331–348
52.
PullarDPettitC, 2003, “Improving urban growth forecasting with cellular automata: A case study for Hervey Bay”, MODSIM 2003—International Congress on Modelling and Simulation, Townsville, Queensland, MSSANZ. 14–17 July; copy available from the author
53.
SemboliniFAssfalgAArmeniSGianassiRMarsoniF, 2004, “CityDev, an interactive multi-agents urban model on the web”Computers, Environment and Urban Systems28, 45–64
54.
ShifferM, 1992, “Towards a collaborative planning system”Environment and Planning B: Planning and Design19, 709–722
55.
ShifferM, 1995a, “Environmental review with hypermedia systems”Environment and Planning B: Planning and Design22, 359–372
56.
ShifferM, 1995b, “Interactive multimedia planning support: Moving from stand-alone systems to the World Wide Web”Environment and Planning B: Planning and Design22, 649–664
57.
SynderK, 2001, “Tools for community design and decision-making”, in Planning Support Systems in Practice Eds GeertmanSStillwellJ, (Springer, Berlin) pp 99–120
58.
TimmermansH, 2003, “The saga of integrated land use-transport modeling: How many more dreams before we wake up?”, paper presented at 10th International Conference on Travel Behaviour Research, Lucerne, International Association for Travel Behaviour Research 10–15 August, http://www.ddss.arch.tue.nl/
59.
TverskyAKahnemanD, 1974, “Judgment under uncertainty: Heuristic and biases: Biases in judgments reveal some heuristics of thinking under uncertainty”Science185, 1124–1131
60.
United Nations, 1992aAgenda 21: United Nations Conference on Environment and Development, Rio de Janeiro, Brazil, 3 – 7 June 1992 (United Nations, New York)
61.
United Nations, 1992bThe Rio Declaration on Environment and Development: United Nations Conference on Environment and Development, Rio de Janeiro, Brazil, 3 – 7 June 1992 (United Nations, New York)
62.
Von ThünenJ, 1826Der Isolierte Staat; republished in 1996 as The Isolated State Ed. HallP, (Pergamon Press, Oxford)
63.
WegenerM, 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, 27–29 May CD-ROM, http://www.rs.civil.tohoku.ac.jp/∼cupum03/
64.
WollfN, 1986, “Tools of the trade: CAD”Architecture Australia75, 93–94
65.
XiangW-NClarkeK C, 2003, “The use of scenarios in land-use planning”Environment and Planning B: Planning and Design30, 885–909
