IDEAS home Printed from https://ideas.repec.org/a/taf/cjutxx/v29y2022i2p33-54.html
   My bibliography  Save this article

Participatory Development of Planning Support Systems to Improve Empowerment and Localization

Author

Listed:
  • Haozhi Pan
  • Yoonshin Kwak
  • Brian Deal

Abstract

We propose a participatory development process to address critiques of Planning Support Systems (PSS) that focus on their shortcomings of the empowerment of stakeholders and the contextualization in implementation. The process we are presenting involves stakeholders from the early stage of goal-defining and model building. We evaluate an empirical application with a coupled land-use and economic impact assessment PSS for a project in a township on its added value to two criteria: inclusiveness and contextualization. Our findings show that the process enabled improved transparency and understandability on the fitness between project outcomes and stakeholder interests, while local expertise helped to revise and improve the model outcomes and parameters.

Suggested Citation

  • Haozhi Pan & Yoonshin Kwak & Brian Deal, 2022. "Participatory Development of Planning Support Systems to Improve Empowerment and Localization," Journal of Urban Technology, Taylor & Francis Journals, vol. 29(2), pages 33-54, April.
    • Handle: RePEc:taf:cjutxx:v:29:y:2022:i:2:p:33-54
    DOI: 10.1080/10630732.2022.2031431
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10630732.2022.2031431
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10630732.2022.2031431?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.

    Citations

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


    Cited by:

    1. Huaxiong Jiang & Stan Geertman & Hao Zhang & Shangyi Zhou, 2023. "Factors influencing the performance of virtual reality in urban planning: Evidence from a View corridor Virtual Reality project, Beijing," Environment and Planning B, , vol. 50(3), pages 814-830, March.
    2. Marek Pekarčík & Júlia Ďurčová & Jozef Glova, 2022. "Intangible ICT and Their Importance within Global Value Chains: An Empirical Analysis Based on Longitudinal Data Regression," Mathematics, MDPI, vol. 10(7), pages 1-14, April.

    More about this item

    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:taf:cjutxx:v:29:y:2022:i:2:p:33-54. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/cjut20 .

    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.