Recent work exploring the use of agent-based models (ABMs) in a planning support role must be accompanied by an evaluation of the possible constraints that exist to the use of these models. This research presents an evaluation, from the perspective of professional tourism planners, of the potential for ABM of tourism dynamics to serve as a planning support system (PSS). Tourism is a phenomenon that is inherently individually based, with many interacting processes occurring at multiple scales, across space and time. This makes it a natural environment in which to test an ABM-based PSS. We conducted a series of interviews with tourism planners operating in the Canadian province of Nova Scotia, a region where tourism plays an important economic role. These interviews consisted of a general-needs overview, coupled with an assessment of a prototype model we developed, called TourSim. The interviews sought to uncover the specific planning tasks to which ABM would be best applied and identify areas of adoption constraint. The results of this research indicate that TourSim served as a scenario development tool, with a focus on data analysis and communication. Conversely, TourSim was reported to lack transparency, which affected the confidence that planners had in its results. This evaluation clarifies the path forward for developers looking to introduce ABM to planning practice.
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References
1.
BabbieE, 2001The Practice of Social Research6th edition (Worth, Belmont, CA)
2.
BaggioR, 2008, “Symptoms of complexity in a tourism system”Tourism Analysis131–20
3.
BahaireTElliot-WhiteM, 1999, “The application of geographic information systems in sustainable tourism planning: a review”Journal of Sustainable Tourism7159–177
4.
BarnaudCBousquetFTrebuilG, 2008, “Multi-agent simulations to explore rules for rural credit in a highland farming community of Northern Thailand”Ecological Economics66615–627
5.
BattyM, 2004, “Dissecting the streams of planning history: technology versus policy through models”Environment and Planning B: Planning and Design31326–330
6.
BattyM, 2008, “Generative social science: a challenge”Environment and Planning B: Planning and Design35191–194
7.
BermanMNicholsonCKofinasGTetlichiJMartinS, 2004, “Adaptation and sustainability in a small arctic community: results of an agent-based simulation model”Arctic57401–414
8.
BolteJ PHulseD WGregoryS VSmithC, 2006, “Modeling biocomplexity—actors, landscapes and alternative futures”Environmental Modelling and Software22570–579
9.
BonabeauE, 2002, “Agent-based modeling: methods and techniques for simulating human systems”Proceedings of the National Academy of Sciences997280–7287
10.
BrailR, 2006, “Planning support systems evolving: when the rubber hits the road”, in Complex Artificial Environments: Simulation, Cognition and VR in the Study and Planning of Cities Ed. PortugaliJ (Springer, Berlin) pp 307–317
11.
BrailRKlostermanR E, 2001Planning Support Systems: Integrating Geographic Information Systems, Models and Visualization Tools (ESRI Press, Redlands, CA)
12.
BrownD GRobinsonD T, 2006, “Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl”Ecology and Society1146
13.
CouclelisH, 2005, “‘Where has the future gone?’ Rethinking the role of integrated land-use models in spatial planning”Environment and Planning A371353–1371
14.
DeadmanPRobinsonD TMoranEBrondizioE, 2004, “Colonist household decisionmaking and land-use change in the Amazon Rainforest: an agent-based simulation”Environment and Planning B: Planning and Design31693–709
15.
EpsteinJ M, 1999, “Agent-based computational models and generative social science”Complexity441–60
16.
EpsteinJ MAxtellR, 1996Growing Artificial Societies: Social Science from the Bottom Up (The Brookings Institution, Washington, DC)
17.
FeldtA, 1966, “Operational gaming in planning education”Journal of the American Planning Association3217–23
18.
GeertmanS, 2006, “Potentials for planning support: a planning-conceptual approach”Environment and Planning B: Planning and Design33863–880
19.
GeertmanSStillwellJ, 2003Planning Support Systems in Practice (Springer, Berlin)
20.
GeertmanSStillwellJ, 2004, “Planning support systems: an inventory of current practice”Computers, Environment and Urban Systems28291–310
21.
GeertmanSStillwellJ, 2009Planning Support Systems: Best Practice and New Methods (Springer, Berlin)
22.
GilbertNTroitzschK G, 2005Simulation for the Social Scientist (Open University Press, Maidenhead, Berks)
23.
HägerstrandT, 1970, “What about people in regional science?”Papers in Regional Science247–21
24.
HaklayMSingletonAParkerC, 2008, “Web mapping 2.0: the neogeography of the Geoweb”Geography Compass22011–2039
25.
HallC M, 2000Tourism Planning: Policies, Processes and Relationships (Prentice-Hall, Harlow, Essex)
26.
HarrisB, 1989, “Beyond geographic information systems: computers and the planning professional”Journal of the American Planning Association5585–91
27.
HarrisBBattyM, 1993, “Locational models, geographic information and planning support systems”Journal of Planning Education and Research12184–198
28.
InskeepE, 1988, “Tourism planning: an emerging specialization”Journal of the American Planning Association54360–373
29.
JohnsonP ASieberR, 2009, “Agent-based modelling: a dynamic scenario planning approach to tourism PSS”, in Planning Support Systems: Best Practices and New Methods Eds GeertmanSStillwellJ (Springer, Berlin) pp 211–226
30.
JohnsonP ASieberR E, 2010, “An individual-based approach to modeling tourism dynamics”Tourism Analysis15517–530
31.
JohnsonP ASieberR E, in press, “An agent-based approach to providing tourism planning support”Environment and Planning B: Planning and Design
32.
KlostermanRPettitC, 2005, “Guest editorial. An update on planning support systems”Environment and Planning B: Planning and Design32477–484
33.
Ligmann-ZielinskaAJankowskiP, 2007, “Agent-based models as laboratories for spatially explicit planning policies”Environment and Planning B: Planning and Design34316–335
34.
MilneSAteljevicI, 2001, “Tourism, economic development and the global — local nexus: theory embracing complexity”Tourism Geographies3369–393
35.
NeumanW L, 1997Social Research Methods: Qualitative and Quantitative Approaches (Allyn and Bacon, Boston, MA)
36.
OnsrudHPintoJ, 1991, “Diffusion of geographic information innovations”International Journal of Geographical Information Science5447–467
37.
O'SullivanDHaklayM, 2000, “Agent-based models and individualism: is the world agent-based?”Environment and Planning A321409–1425
38.
RogersE, 2003Diffusion of Innovations (Free Press, New York)
39.
SharpleyR, 2002, “Rural tourism and the challenge of tourism diversification: the case of Cyprus”Tourism Management23233–244
40.
te BrömmelstroetMSchrijnenP, 2010, “From planning support systems to mediated planning support: a structured dialogue to overcome the implementation gap”Environment and Planning B: Planning and Design373–20
41.
TorrensP M, 2003, “Cellular automata and multi-agent systems as planning support tools”, in Planning Support Systems in Practice Eds GeertmanSStillwellJ (Springer, Berlin) pp 205–222
42.
VonkGGeertmanSSchotP, 2005, “Bottlenecks blocking widespread usage of planning support systems”Environment and Planning A37909–924
43.
VonkGGeertmanSSchotP, 2007, “A SWOT analysis of planning support systems”Environment and Planning A391699–1714
44.
WittS FWittC A, 1995, “Forecasting tourism demand: a review of empirical research”International Journal of Forecasting11447–475
45.
WooldridgeMJenningsN R, 1995, “Intelligent agents: theory and practice”The Knowledge Engineering Review10115–152
46.
ZellnerM L, 2008, “Embracing complexity and uncertainty: the potential of agent-based modeling for environmental planning and policy”Planning Theory and Practice9437–457
