IDEAS home Printed from https://ideas.repec.org/a/spr/anresc/v50y2013i1p341-362.html
   My bibliography  Save this article

Unified computable urban economic model

Author

Listed:
  • Takayuki Ueda
  • Morito Tsutsumi
  • Shinichi Muto
  • Kiyoshi Yamasaki

Abstract

The computable urban economic (CUE) model is a tool for analyzing real urban economies and evaluating urban polices in practice. The CUE model can output a set of variables which describe a real urban economy: a distribution of locators or activities including households and firms, a distribution of land use including residential, commercial, manufacturing, business, agricultural and other types and a distribution of land price/rent and building price/rent. The CUE model, working with transport models consistent with microeconomic theory, can also output a distribution of passenger trips aggregated by OD, mode and path, and a distribution of freight cargo as well. Urban models that belong to the CUE model family have been developed and applied since the late 1980s. This paper first presents a general form of the CUE model, describing its mathematical forms and theoretical features. Then, the paper introduces several models in the CUE model family developed in Japan and shows that a CUE model constructed on the basis of the general form comprises the existing models. The paper compares the models with each other from the viewpoints of experiences of application, and mathematical function form, and provides clear insight into the relationship between the models. Copyright The Author(s) 2013

Suggested Citation

  • Takayuki Ueda & Morito Tsutsumi & Shinichi Muto & Kiyoshi Yamasaki, 2013. "Unified computable urban economic model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 341-362, February.
  • Handle: RePEc:spr:anresc:v:50:y:2013:i:1:p:341-362
    DOI: 10.1007/s00168-012-0499-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00168-012-0499-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s00168-012-0499-z?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fujita,Masahisa, 1991. "Urban Economic Theory," Cambridge Books, Cambridge University Press, number 9780521396455.
    2. Alex Anas & Yu Liu, 2007. "A Regional Economy, Land Use, And Transportation Model (Relu‐Tran©): Formulation, Algorithm Design, And Testing," Journal of Regional Science, Wiley Blackwell, vol. 47(3), pages 415-455, August.
    3. Shoven,John B. & Whalley,John, 1992. "Applying General Equilibrium," Cambridge Books, Cambridge University Press, number 9780521266550.
    4. Hisa Morisugi & Eiji Ohno, 1992. "A Benefit Incidence Matrix For Urban Transport Improvement," Papers in Regional Science, Wiley Blackwell, vol. 71(1), pages 53-70, January.
    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. Kii, Masanobu & Nakanishi, Hitomi & Nakamura, Kazuki & Doi, Kenji, 2016. "Transportation and spatial development: An overview and a future direction," Transport Policy, Elsevier, vol. 49(C), pages 148-158.
    2. Perry Burnett, 2016. "Overpopulation, Optimal City Size And The Efficiency Of Urban Sprawl," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(3), pages 143-161, November.
    3. Le, Henry & Gurry, Finn & Lennox, James, 2023. "An application of land use, transport, and economy interaction model," Research in Transportation Economics, Elsevier, vol. 99(C).
    4. Shinichi Muto & Hiroto Toyama & Akina Takai, 2021. "Evaluation of Transport and Location Policies to Realize the Carbon-Free Urban Society," Sustainability, MDPI, vol. 14(1), pages 1-21, December.
    5. Yamagata, Yoshiki & Seya, Hajime, 2013. "Simulating a future smart city: An integrated land use-energy model," Applied Energy, Elsevier, vol. 112(C), pages 1466-1474.
    6. Tatsuhito Kono & Naoki Kitamura & Kiyoshi Yamasaki & Kazuki Iwakami, 2016. "Quantitative analysis of dynamic inconsistencies in infrastructure planning: an example of coastal levee improvement," Environment and Planning B, , vol. 43(2), pages 401-418, March.
    7. Runsen Zhang & Kakuya Matsushima & Kiyoshi Kobayashi, 2016. "Land Use, Transport, And Carbon Emissions: A Computable Urban Economic Model For Changzhou, China," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 28(3), pages 162-181, November.
    8. Runsen Zhang & Kakuya Matsushima & Kiyoshi Kobayashi, 2017. "Computable urban economic model incorporated with economies of scale for urban agglomeration simulation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 231-254, July.

    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. Tomoki Ishikura & Fuga Yokoyama, 2022. "Regional economic effects of the Ring Road project in the Greater Tokyo Area: A spatial CGE approach," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 811-837, August.
    2. Edward N. Robson & Vinayak V. Dixit, 2017. "A General Equilibrium Framework for Integrated Assessment of Transport and Economic Impacts," Networks and Spatial Economics, Springer, vol. 17(3), pages 989-1013, September.
    3. Robson, Edward N. & Wijayaratna, Kasun P. & Dixit, Vinayak V., 2018. "A review of computable general equilibrium models for transport and their applications in appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 31-53.
    4. Stef Proost & Jacques-François Thisse, 2019. "What Can Be Learned from Spatial Economics?," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 575-643, September.
    5. Jacques-Francois Thisse, 2014. "The New Science of Cities by Michael Batty: The Opinion of an Economist," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 805-819, September.
    6. Anas, Alex, 2012. "The optimal pricing, finance and supply of urban transportation in general equilibrium: A theoretical exposition," Economics of Transportation, Elsevier, vol. 1(1), pages 64-76.
    7. Bröcker, Johannes & Korzhenevych, Artem & Schürmann, Carsten, 2010. "Assessing spatial equity and efficiency impacts of transport infrastructure projects," Transportation Research Part B: Methodological, Elsevier, vol. 44(7), pages 795-811, August.
    8. Ying Jin & Marcial Echenique & Anthony Hargreaves, 2013. "A Recursive Spatial Equilibrium Model for Planning Large-Scale Urban Change," Environment and Planning B, , vol. 40(6), pages 1027-1050, December.
    9. Marc Vielle & Alain L. Bernard, 1998. "Un exemple d'utilisation : le coût de politiques de réduction des gaz à effet de serre," Économie et Prévision, Programme National Persée, vol. 136(5), pages 33-48.
    10. Haider A. Khan, 2007. "Social Accounting Matrix: A Very Short Introduction for Economic Modeling," CIRJE F-Series CIRJE-F-477, CIRJE, Faculty of Economics, University of Tokyo.
    11. Robert Dekle & Jonathan Eaton, 1994. "Agglomeration and the Price of Land: Evidence from the Prefectures," NBER Working Papers 4781, National Bureau of Economic Research, Inc.
    12. Robin Boadway & Nicolas Marceau & Maurice Marchand, 1996. "Issues in decentralizing the provision of education," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 3(3), pages 311-327, July.
    13. Takatoshi Tabuchi & Jacques-François Thisse, 2006. "Regional Specialization, Urban Hierarchy, And Commuting Costs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(4), pages 1295-1317, November.
    14. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    15. Kristof Dascher, 2015. "Foreign Direct Investment into Open and Closed Cities," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(2), pages 191-210, May.
    16. Tabuchi, Takatoshi, 2023. "Backward-bending labor supply and urban location," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    17. Verhetsel, Ann & Vanelslander, Thierry, 2010. "What location policy can bring to sustainable commuting: an empirical study in Brussels and Flanders, Belgium," Journal of Transport Geography, Elsevier, vol. 18(6), pages 691-701.
    18. Wei-Bin Zhang, 2009. "Agglomeration and Returns to Scale with Capital and Public Goods in a Multi-Regional Economy," International Economic Journal, Taylor & Francis Journals, vol. 23(1), pages 81-109.
    19. Onil Banerjee & Martin Cicowiez & Marcia Macedo & Žiga Malek & Peter Verburg & Sean Goodwin & Renato Vargas & Ludmila Rattis & Paulo M. Brando & Michael T. Coe & Christopher Neill & Octavio Damiani, 2020. "An Amazon Tipping Point: The Economic and Environmental Fallout," CEDLAS, Working Papers 0292, CEDLAS, Universidad Nacional de La Plata.
    20. Renaud Crassous & Jean Charles Hourcade & Olivier Sassi, 2006. "Endogenous structural change and climate targets," Post-Print halshs-00009335, HAL.

    More about this item

    Keywords

    R52; R13;

    JEL classification:

    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies

    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:spr:anresc:v:50:y:2013:i:1:p:341-362. 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: 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.