IDEAS home Printed from https://ideas.repec.org/p/oec/envaaa/122-en.html
   My bibliography  Save this paper

Multi-objective local environmental simulator (MOLES 1.0): Model specification, algorithm design and policy applications

Author

Listed:
  • Ioannis Tikoudis
  • Walid Oueslati

    (OECD)

Abstract

This paper describes MOLES 1.0, an integrated land-use and transport model developed with Object-Oriented Programming principles in order to combine selected characteristics from Spatial Computable General Equilibrium and microsimulation models.

Suggested Citation

  • Ioannis Tikoudis & Walid Oueslati, 2017. "Multi-objective local environmental simulator (MOLES 1.0): Model specification, algorithm design and policy applications," OECD Environment Working Papers 122, OECD Publishing.
    • Handle: RePEc:oec:envaaa:122-en
    DOI: 10.1787/151cf08a-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/151cf08a-en
    Download Restriction: no
    File URL: https://libkey.io/10.1787/151cf08a-en?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
    ---><---

    Citations

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


    Cited by:

    1. Ioannis Tikoudis & Walid Oueslati, 2023. "The future of transport-related emissions in dense urban areas: an analysis of various policy scenarios with MOLES," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(2), pages 205-268, April.
    2. Ioannis Tikoudis & Walid Oueslati, 2021. "MOLES: A New Approach to Modeling the Environmental and Economic Impacts of Urban Policies," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 641-690, October.
    3. Tikoudis, Ioannis & Farrow, Katherine & Mebiame, Rose Mba & Oueslati, Walid, 2022. "Beyond average population density: Measuring sprawl with density-allocation indicators," Land Use Policy, Elsevier, vol. 112(C).

    More about this item

    Keywords

    air pollution; greenhouse gas emissions; land-use model; microsimulation; spatial general equilibrium; transport model;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:envaaa:122-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/enoecfr.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.