Where to vacation? An agent-based approach to modelling tourist decision-making process

References

• Baggio, J. A., & Baggio, R. (2009). Simulations and agent-based modelling (Dondena Working Papers No. 21). Università Bocconi, Milan, Italy.
   Google Scholar
• Baggio, R. (2008). Symptoms of complexity in a tourism system. Tourism Analysis, 13(1), 1–20. doi: 10.3727/108354208784548797
   Web of Science ®Google Scholar
• Baggio, R., & Klobas, J. (2011). Quantitative methods in tourism: A handbook (Vol. 48). Bristol: Channel View.
   Google Scholar
• Baggio, R., & Sainaghi, R. (2011). Complex and chaotic tourism systems: Towards a quantitative approach. International Journal of Contemporary Hospitality Management, 23(6), 840–861. doi:10.1108/09596111111153501
   Web of Science ®Google Scholar
• Bansal, H., & Eiselt, H. A. (2004). Exploratory research of tourist motivations and planning. Tourism Management, 25(3), 387–396. doi: 10.1016/S0261-5177(03)00135-3
   Web of Science ®Google Scholar
• Batty, M. (1995). Planning support systems and the new logic of computation. Regional Development Dialogue, 16, 1–17.
   Google Scholar
• Batty, M. (2008). The size, scale, and shape of cities. Science, 319(5864), 769–771. doi: 10.1126/science.1151419
   PubMed Web of Science ®Google Scholar
• Batty, M., Crooks, A. T., See, L. M., & Heppenstall, A. J. (2012). Perspectives on agent-based models and geographical systems. In A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems (pp. 1–19). Dordrecht: Springer. doi:10.1007/978-90-481-8927-4
   Google Scholar
• Bertalanffy, L. von. (1968). General system theory: Foundations, development, applications. New York, NY: Braziller.
   Google Scholar
• Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99(Suppl. 3), 7280–7287. doi:10.1073/pnas.082080899
   Google Scholar
• Castle, C., & Crooks, A. (2006). Principles and concepts of agent-based modelling for developing geospatial simulations (Working Paper 110). University College London, Centre for Advanced Spatial Analysis, London.
   Google Scholar
• Cohen, S. A., Prayag, G., & Moital, M. (2014). Consumer behaviour in tourism: Concepts, influences and opportunities. Current Issues in Tourism, 17(10), 872–909. doi:10.1080/13683500.2013.850064
   Web of Science ®Google Scholar
• Couclelis, H. (2005). “Where has the future gone?” Rethinking the role of integrated land-use models in spatial planning. Environment and Planning A, 37(8), 1353–1371. doi: 10.1068/a3785
   Web of Science ®Google Scholar
• Crooks, A., Castle, C., & Batty, M. (2008). Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems, 32(6), 417–430. doi:10.1016/j.compenvurbsys.2008.09.004
   Web of Science ®Google Scholar
• Dann, G. (1977). Anomie, ego-enhancement and tourism. Annals of Tourism Research, 4(4), 184–194. doi: 10.1016/0160-7383(77)90037-8
   Google Scholar
• Epstein, J. M. (1999). Agent-based computational models and generative social science. Generative Social Science: Studies in Agent-Based Computational Modeling, 4(5), 4–46.
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Faulkner, B. (2000, August). “The future ain't what it used to be”: Coping with change, turbulence and disasters in tourism research and destination management (Griffith University Public Lecture Series). Gold Coast, QLD.
   Google Scholar
• Faulkner, B., & Russell, R. (1997). Chaos and complexity in tourism: In search of a new perspective. Pacific Tourism Review, 1(2), 93–102.
   Google Scholar
• Faulkner, B., Russell, R., Moscardo, G., & Laws, E. (2001). Turbulence, chaos and complexity in tourism systems: A research direction for the new millennium. In B. Faulkner, G. Moscardo & E. Laws (Eds.), Tourism and the 21st Century: Reflections on experience (pp. 328–349). London: Continuum Books.
   Google Scholar
• Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist (2nd ed.). New York, NY: Open University Press.
   Google Scholar
• Goossens, C. (2000). Tourism information and pleasure motivation. Annals of Tourism Research, 27(2), 301–321. doi: 10.1016/S0160-7383(99)00067-5
   Web of Science ®Google Scholar
• Gunn, C. A. (1988). Tourism planning: Basics, concepts, cases. Washington: Taylor and Francis.
   Google Scholar
• Horn, C. (2002). A complex systems perspective on communities and tourism: A comparison of two case studies in Kaikoura and Rotorua (Doctoral dissertation). Lincoln University, New Zealand.
   Google Scholar
• 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 (Vol. 95, pp. 221–226). Dordrecht: Springer.
   Google Scholar
• 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
   Google Scholar
• Johnson, P. A., & Sieber, R. E. (2011). Negotiating constraints to the adoption of agent-based modeling in tourism planning. Environment and Planning-Part B, 38(2), 307–321. doi: 10.1068/b36109
   Web of Science ®Google Scholar
• Kennedy, W. G. (2012). Modelling human behaviour in agent-based models. In E. A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems (pp. 167–179). Dordrecht: Springer. doi:10.1007/978-90-481-8927-4
   Google Scholar
• Leiper, N. (1990). Tourist attraction systems. Annals of Tourism Research, 17(3), 367–384. doi: 10.1016/0160-7383(90)90004-B
   Web of Science ®Google Scholar
• Lewin, R. (1999). Complexity: Life at the edge of chaos. London: A Pheonix Paperback.
   Google Scholar
• Lorenz, E. (2000). The butterfly effect. Paper presented at 139th meeting of the American Association for the advancement of Science, Washington.
   Google Scholar
• Macal, C. M., & North, M. J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation, 4(3), 151–162. doi:10.1057/jos.2010.3
   Web of Science ®Google Scholar
• Manson, S. M., Sun, S., & Bonsal, D. (2012). Agent-based modeling and complexity. In E. A. J. Heppenstall, A. T. Crooks, L. M. See, & M. Batty (Eds.), Agent-based models of geographical systems (pp. 125–139). Dordrecht: Springer. doi:10.1007/978-90-481-8927-4
   Google Scholar
• McDonald, J. R. (2009). Complexity science: An alternative world view for understanding sustainable tourism development. Journal of Sustainable Tourism, 17(4), 455–471. doi:10.1080/09669580802495709
   Web of Science ®Google Scholar
• McKercher, B. (1999). A chaos approach to tourism. Tourism Management, 20(4), 425–434. doi: 10.1016/S0261-5177(99)00008-4
   Web of Science ®Google Scholar
• Miguéns, J., Baggio, R., & Costa, C. (2008). Social media and tourism destinations: Tripadvisor case study. Paper presented at IASK ATR 2008 proceedings (Advances in Tourism Research 2008), Aveiro, Portugal. Retrieved from http://www.uib.es/depart/deeweb/pdi/acm/arxius/intermediacio_tfg/baggio-aveiro2.pdf
   Google Scholar
• Milgram, S. (1967). The small world problem. Psychology Today, 2(1), 60–67.
   Google Scholar
• Mill, R. C., & Morrison, A. M. (2009). The tourism system. Dubuque, IA: Kendall Hunt.
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Pearce, D. (1989). Tourist development. Essex, UK: Longman.
   Google Scholar
• Russell, R., & Faulkner, B. (1999). Movers and shakers: Chaos makers in tourism development. Tourism Management, 20, 411–423. doi: 10.1016/S0261-5177(99)00014-X
   Web of Science ®Google Scholar
• Schelling, T. C. (1969). Models of segregation. The American Economic Review, 59(2), 488–493.
   Web of Science ®Google Scholar
• Scott, N., Cooper, C., & Baggio, R. (2008). Destination networks. Annals of Tourism Research, 35(1), 169–188. doi:10.1016/j.annals.2007.07.004
   Web of Science ®Google Scholar
• Wu, F., & Webster, C. J. (1998). Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environment and Planning B, 25, 103–126. doi: 10.1068/b250103
   Web of Science ®Google Scholar
• Yoon, Y., & Uysal, M. (2005). An examination of the effects of motivation and satisfaction on destination loyalty: A structural model. Tourism Management, 26(1), 45–56. doi: 10.1016/j.tourman.2003.08.016
   Web of Science ®Google Scholar
• Zahra, A., & Ryan, C. (2007). From chaos to cohesion – complexity in tourism structures: An analysis of New Zealand's regional tourism organizations. Tourism Management, 28(3), 854–862. doi: 10.1016/j.tourman.2006.06.004
   Web of Science ®Google Scholar
• Zellner, M. L. (2008). Embracing complexity and uncertainty: The potential of agent-based modeling for environmental planning and policy. Planning Theory & Practice, 9(4), 437–457. doi:10.1080/14649350802481470
   Google Scholar