IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-642-12788-5_5.html
   My bibliography  Save this book chapter

The MUSSA II Land Use Auction Equilibrium Model

In: Residential Location Choice

Author

Listed:
  • Francisco Martínez

    (University of Chile)

  • Pedro Donoso

    (University of Chile)

Abstract

In this chapter the description of a new version of the MUSSA model is presented. The supply side of the model leading to new equilibrium problems and a solution algorithm that enhances the model performance has been significantly improved. The model is designed to forecast the expected location of agents, residents and firms, in an urban area. The model stands upon the paradigm of static market equilibrium.

Suggested Citation

  • Francisco Martínez & Pedro Donoso, 2010. "The MUSSA II Land Use Auction Equilibrium Model," Advances in Spatial Science, in: Francesca Pagliara & John Preston & David Simmonds (ed.), Residential Location Choice, pages 99-113, Springer.
  • Handle: RePEc:spr:adspcp:978-3-642-12788-5_5
    DOI: 10.1007/978-3-642-12788-5_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Dorsa Alipour & Hussein Dia, 2023. "A Systematic Review of the Role of Land Use, Transport, and Energy-Environment Integration in Shaping Sustainable Cities," Sustainability, MDPI, vol. 15(8), pages 1-29, April.
    2. Nicholas Fournier & Eleni Christofa & Arun Prakash Akkinepally & Carlos Lima Azevedo, 2021. "Integrated population synthesis and workplace assignment using an efficient optimization-based person-household matching method," Transportation, Springer, vol. 48(2), pages 1061-1087, April.
    3. Simmonds, David & Feldman, Olga, 2011. "Alternative approaches to spatial modelling," Research in Transportation Economics, Elsevier, vol. 31(1), pages 2-11.
    4. Juan Pérez & Héctor López-Ospina, 2022. "Competitive Pricing for Multiple Market Segments Considering Consumers’ Willingness to Pay," Mathematics, MDPI, vol. 10(19), pages 1-32, October.
    5. Francisco Martínez, 2016. "Cities’ power laws: the stochastic scaling factor," Environment and Planning B, , vol. 43(2), pages 257-275, March.

    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:spr:adspcp:978-3-642-12788-5_5. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.