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Research Letters

Easing the adoption of agent-based modelling (ABM) in tourism research

, , , , , , , , , , & show all
Pages 801-808 | Received 10 Mar 2016, Accepted 30 Jun 2016, Published online: 25 Jul 2016

References

  • Baggio, J. A. (2011). Agent-based modeling and simulations. In R. Baggio & J. Klobas (Eds.), Quantitative methods in tourism: A handbook (pp. 199–219). Bristol: Channel View.
  • Baggio, R. (2008). Symptoms of complexity in a tourism system. Tourism Analysis, 13(1), 1–20. doi: 10.3727/108354208784548797
  • Balbi, S., & Giupponi, C. (2010). Agent-based modelling of socio-ecosystems: A methodology for the analysis of adaptation to climate change. International Journal of Agent Technologies and Systems, 2(4), 17–38. doi: 10.4018/jats.2010100103
  • Balbi, S., Giupponi, C., Perez, P., & Alberti, M. (2013). A spatial agent-based model for assessing strategies of adaptation to climate and tourism demand changes in an Alpine tourism destination. Environmental Modeling & Software, 45, 29–51. doi: 10.1016/j.envsoft.2012.10.004
  • Batty, M. (2005). Cities and complexity. Cambridge, MA: MIT Press.
  • Boavida-Portugal, I., Cardoso Ferreira, C., & Rocha, J. (2015). Where to vacation? An agent-based approach to modelling tourist decision-making process. Current Issues in Tourism. Advance online publication. doi:10.1080/13683500.2015.1041880
  • Bonzanigo, L., Giupponi, C., & Balbi, S. (2016). Sustainable tourism planning and climate change adaptation in the Alps: A case study of winter tourism in mountain communities in the Dolomites. Journal of Sustainable Tourism, 24(4), 637–652.
  • Castle, C. J., & Crooks, A. T. (2006). Principles and concepts of agent-based modelling for developing geospatial simulations (CASA Working Papers 110). London: Centre for Advanced Spatial Analysis, University College London. Retrieved July 7, 2016, from http://discovery.ucl.ac.uk/3342/.
  • Farrell, B. H., & Twining-Ward, L. (2004). Reconceptualizing tourism. Annals of Tourism Research, 31(2), 274–295. doi: 10.1016/j.annals.2003.12.002
  • Faulkner, B., & Russell, R. (1997). Chaos and complexity in tourism: In search of a new perspective. Pacific Tourism Review, 1, 93–102.
  • García-Magariño, I. (2015). ABSTUR: An agent-based simulator for tourist urban routes. Expert Systems with Applications, 42(12), 5287–5302.
  • Gilbert, N., & Troitzsch, K. G. (1999). Simulation for the social scientist. Buckingham: Open University Press.
  • Grimm, V., Berger, U., DeAngelis, D. L., Polhill, J. G., Giske, J., & Railsback, S. F. (2010). The ODD protocol: A review and first update. Ecological Modelling, 221(23), 2760–2768.
  • Jamal, T., Borges, M., & Figueiredo, R. (2004). Systems-based modeling for participatory tourism planning and destination management. Tourism Analysis, 9(1–2), 77–89. doi: 10.3727/1083542041437639
  • Johnson, P. A., & Sieber, R. E. (2009). Agent-based modelling: A dynamic scenario planning approach to tourism PSS. In S. Geertman & J. Stillwell (Eds.), Planning support systems best practice and new methods (pp. 211–226). Dordrecht: Springer Netherlands.
  • Johnson, P. A., & Sieber, R. E. (2010). An individual-based approach to modeling tourism dynamics. Tourism Analysis, 15(5), 517–530. doi: 10.3727/108354210X12889831783198
  • Johnson, P. A., & Sieber, R. E. (2011a). An agent-based approach to providing tourism planning support. Environment and Planning B: Planning and Design, 38, 486–504. doi: 10.1068/b35148
  • Johnson, P. A., & Sieber, R. E. (2011b). Negotiating constraints to the adoption of agent-based modeling in tourism planning. Environment and Planning B: Planning and Design, 38, 307–321. doi: 10.1068/b36109
  • Macal, C. M. (2016). Everything you need to know about agent-based modelling and simulation. Journal of Simulation, 10(2), 144–156. doi: 10.1057/jos.2016.7
  • Macal, C. M., & North, M. J. (2006, December 3–6). Tutorial on agent-based modelling and simulation Part 2: How to model with agents. Proceedings of the 2006 Winter Simulation Conference, Monterey, CA.
  • Macy, M. W., & Willer, R. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28(1), 143–166. doi: 10.1146/annurev.soc.28.110601.141117
  • McKercher, B. (1999). A chaos approach to tourism. Tourism Management, 20(4), 425–434. doi: 10.1016/S0261-5177(99)00008-4
  • Milne, S., & Ateljevic, I. (2001). Tourism, economic development and the global-local nexus: Theory embracing complexity. Tourism Geographies, 3(4), 369–393. doi: 10.1080/146166800110070478
  • Müller, B., Balbi, S., Buchmann, C. M., De Sousa, L., Dressler, G., Groeneveld, J.,  … Weise, H. (2014). Standardised and transparent model descriptions for agent-based models: Current status and prospects. Environmental Modelling & Software, 55, 156–163. doi: 10.1016/j.envsoft.2014.01.029
  • Müller, B., Bohn, F., Dreßler, G., Groeneveld, J., Klassert, C., Martin, R.,  … Schwarz, N. (2013). Describing human decisions in agent-based models – ODD + D, an extension of the ODD protocol. Environmental Modelling and Software, 48, 37–48. doi: 10.1016/j.envsoft.2013.06.003
  • Nicholls, S., Amelung, B., & Student, J. (2016). Agent-based modeling: A powerful tool for tourism researchers. Journal of Travel Research. Advance online publication. doi:10.1177/0047287515620490
  • Nikolai, C., & Madey, G. (2009). Tools of the trade: A survey of various agent based modeling platforms. Journal of Artificial Societies and Social Simulation, 12(2), 2. Retrieved from http://jasss.soc.surrey.ac.uk/12/2/2.html
  • Parker, D. C., Manson, S. M., Janssen, M. A., Hoffmann, M. J., & Deadman, P. (2003). Multi-agent systems for the simulation of land-use and land-cover change: A review. Annals of the Association of American Geographers, 93(2), 314–337. doi: 10.1111/1467-8306.9302004
  • Petrov, L. O., Lavalle, C., & Kasanko, M. (2009). Urban land use scenarios for a tourist region in Europe: Applying the MOLAND model to Algarve, Portugal. Landscape and Urban Planning, 92(1), 10–23. doi: 10.1016/j.landurbplan.2009.01.011
  • Pizzitutti, F., Mena, C. F., & Walsh, J. S. (2014). Modelling tourism in the Galapagos Islands: An agent-based model approach. Journal of Artificial Societies and Social Simulation, 17(1), 1–15. doi: 10.18564/jasss.2389
  • Pons, M., Johnson, P., Rosas-Casals, M., & Jover, È. (2014). A georeferenced agent based model to analyze the climate change impacts on ski tourism at a regional scale. Journal of Geographical Information Science, 28(12), 2474–2494. doi: 10.1080/13658816.2014.933481
  • Pons-Pons, M., Johnson, P. A., Rosas-Casals, M., Sureda, B., & Jover, E. (2012). Modeling climate change effects on winter ski tourism in Andorra. Climate Research, 54, 197–207. doi: 10.3354/cr01117
  • Rogers, E. M. (2010). Diffusion of innovations (4th ed.). New York, NY: Simon and Schuster.
  • Rykiel, E. J. (1996). Testing ecological models: The meaning of validation. Ecological Modelling, 90, 229–244. doi: 10.1016/0304-3800(95)00152-2
  • Sargent, R. G. (2013). Verification and validation of simulation models. Journal of Simulation, 7, 12–24. doi: 10.1057/jos.2012.20
  • Scott, D., Rutty, M., Pons, M., Steiger, R., Johnson, P., & Jover, E. (2015, September, 17–19). An integrated assessment of the resilience of Ontario (Canada) ski tourism to climate variability and change. Proceedings of the 4th International Conference on Climate, Tourism and Recreation. CCTR 2015, Istanbul, pp. 110–112.
  • Soboll, A., & Schmude, J. (2011). Simulating tourism water consumption under climate change conditions using agent-based modeling: The example of ski areas. Annals of the Association of American Geographers, 101(5), 1049–1066. doi: 10.1080/00045608.2011.561126
  • Student, J., Amelung, B., & Lamers, M. (2016). Towards a tipping point? Exploring the capacity to self-regulate Antarctic tourism using agent-based modelling. Journal of Sustainable Tourism. Advance online publication. doi:10.1080/09669582.2015.1107079
  • Tesfatsion, L., & Judd, K. L. (2006). Handbook of computational economics: Agent-based computational economics (Vol. 2). Amsterdam: Elsevier.
  • Waldherr, A., & Wijermans, N. (2013). Communicating social simulation models to sceptical minds. Journal of Artificial Societies and Social Simulation, 16(4), 13. doi:10.18564/jasss.2247

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