IDEAS home Printed from https://ideas.repec.org/a/ags/jrapmc/132996.html
   My bibliography  Save this article

Assessing Indirect Spatial Effects of Mountain Tourism Development: an Application of Agent-based Spatial Modeling

Author

Listed:
  • Yin, Li

Abstract

Many resort communities in the U.S. Rocky Mountain West are experiencing rapid in-migration and growth because the natural and built amenities in those areas attracted people and investment. This study uses an agent-based model to explore how homeowners’ invest-ment and reinvestment decisions are influenced by the level of investment and amenities available in their neighborhoods in a case study area of town of Breckenridge, Colorado to help understand the dynamics and the indirect spatial impacts of amenity-led mountain tour-ism development. This paper found that individual level of appreciation of amenities and continuing investment in a neighborhood attracted investment and reinvestment, and created pressure for high density resort housing development at the aggregate level. Agent-based model is a useful tool to simulate the dynamics behind the housing investment and reinvestment and to investigate the indirect spatial effects of high-density resort development.

Suggested Citation

  • Yin, Li, 2007. "Assessing Indirect Spatial Effects of Mountain Tourism Development: an Application of Agent-based Spatial Modeling," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 37(3), pages 1-9.
    • Handle: RePEc:ags:jrapmc:132996
    DOI: 10.22004/ag.econ.132996
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/132996/files/07-3-8.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.132996?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Daniel G. Brown & Rick Riolo & Derek T. Robinson & Michael North & William Rand, 2005. "Spatial process and data models: Toward integration of agent-based models and GIS," Journal of Geographical Systems, Springer, vol. 7(1), pages 25-47, October.
    2. Alison Gill, 2000. "From Growth Machine to Growth Management: The Dynamics of Resort Development in Whistler, British Columbia," Environment and Planning A, , vol. 32(6), pages 1083-1103, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mahdi Hashemi & Ali Alesheikh, 2013. "GIS: agent-based modeling and evaluation of an earthquake-stricken area with a case study in Tehran, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1895-1917, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco A. Janssen & Lilian N. Alessa & C. Michael Barton & Sean Bergin & Allen Lee, 2008. "Towards a Community Framework for Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-6.
    2. Andrew Hoegh & Frank T. Manen & Mark Haroldson, 2021. "Agent-Based Models for Collective Animal Movement: Proximity-Induced State Switching," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(4), pages 560-579, December.
    3. Stephen M McCauley & John Rogan & James T Murphy & Billie L Turner & Samuel Ratick, 2015. "Modeling the Sociospatial Constraints on Land-Use Change: The Case of Periurban Sprawl in the Greater Boston Region," Environment and Planning B, , vol. 42(2), pages 221-241, April.
    4. Zhang, Chunxiao & Chen, Min & Li, Rongrong & Fang, Chaoyang & Lin, Hui, 2016. "What's going on about geo-process modeling in virtual geographic environments (VGEs)," Ecological Modelling, Elsevier, vol. 319(C), pages 147-154.
    5. Lilian N. Alessa & Melinda Laituri & C. Michael Barton, 2006. "An "All Hands" Call to the Social Science Community: Establishing a Community Framework for Complexity Modeling Using Agent Based Models and Cyberinfrastructure," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-6.
    6. Jerry Patchell, 2014. "Evolution of Collective Action in a Ski Resort Facing Declining Domestic Demand and Inbound Opportunity: Hakuba's Dynamic Downsizing," Environment and Planning A, , vol. 46(11), pages 2752-2768, November.
    7. Degenne, P. & Lo Seen, D. & Parigot, D. & Forax, R. & Tran, A. & Ait Lahcen, A. & Curé, O. & Jeansoulin, R., 2009. "Design of a Domain Specific Language for modelling processes in landscapes," Ecological Modelling, Elsevier, vol. 220(24), pages 3527-3535.
    8. Mahdi Hashemi & Ali Alesheikh, 2013. "GIS: agent-based modeling and evaluation of an earthquake-stricken area with a case study in Tehran, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1895-1917, December.
    9. Rianne Duinen & Tatiana Filatova & Wander Jager & Anne Veen, 2016. "Going beyond perfect rationality: drought risk, economic choices and the influence of social networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 335-369, November.
    10. Verda Kocabas & Suzana Dragicevic, 2013. "Bayesian networks and agent-based modeling approach for urban land-use and population density change: a BNAS model," Journal of Geographical Systems, Springer, vol. 15(4), pages 403-426, October.
    11. Gerber, Jean-David & Bandi Tanner, Monika, 2018. "The role of Alpine development regimes in the development of second homes: Preliminary lessons from Switzerland," Land Use Policy, Elsevier, vol. 77(C), pages 859-870.
    12. Francis Oloo & Kamran Safi & Jagannath Aryal, 2018. "Predicting Migratory Corridors of White Storks, Ciconia ciconia , to Enhance Sustainable Wind Energy Planning: A Data-Driven Agent-Based Model," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    13. L. Andrew Bollinger & Chris Davis & Igor Nikolić & Gerard P.J. Dijkema, 2012. "Modeling Metal Flow Systems," Journal of Industrial Ecology, Yale University, vol. 16(2), pages 176-190, April.
    14. Sahotra Sarkar & Kelley A Crews-Meyer & Kenneth R Young & Christopher D Kelley & Alexander Moffett, 2009. "A Dynamic Graph Automata Approach to Modeling Landscape Change in the Andes and the Amazon," Environment and Planning B, , vol. 36(2), pages 300-318, April.
    15. Seyed Morsal Ghavami & Mohammad Taleai, 2017. "Towards a conceptual multi-agent-based framework to simulate the spatial group decision-making process," Journal of Geographical Systems, Springer, vol. 19(2), pages 109-132, April.
    16. Mohammad Vahidnia & Ali Alesheikh & Seyed Alavipanah, 2015. "A multi-agent architecture for geosimulation of moving agents," Journal of Geographical Systems, Springer, vol. 17(4), pages 353-390, October.
    17. Wallentin, Gudrun, 2017. "Spatial simulation: A spatial perspective on individual-based ecology—a review," Ecological Modelling, Elsevier, vol. 350(C), pages 30-41.
    18. Conrad Power, 2009. "A Spatial Agent-Based Model of N-Person Prisoner's Dilemma Cooperation in a Socio-Geographic Community," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-8.
    19. Fioretti, Guido, 2010. "Trajectories in Physical Space out of Communications in Acquaintance Space: An Agent-Based Model of a Textile Industrial District," MPRA Paper 24902, University Library of Munich, Germany.
    20. Maggi, Elena & Vallino, Elena, 2016. "Understanding urban mobility and the impact of public policies: The role of the agent-based models," Research in Transportation Economics, Elsevier, vol. 55(C), pages 50-59.

    More about this item

    Keywords

    International Relations/Trade;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jrapmc:132996. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/mcrsaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.