An experiential approach to research in planning
Most planning research seeks to understand how current planning practices influence (and are influenced by) the processes and institutional contexts of decision making and the transformation of spaces. Typically, analytical methods borrowed from other social sciences are employed for this purpose. However, if one wants to know how new planning practices can be generated, a different research approach seems to be needed. Relevant innovations do not originate in an academic vacuum, but have to be developed in coproduction with intended users and in the context of their intended use. Only then can a reciprocal learning process between research and practice be activated in which original hypotheses about possible planning innovations are developed through iterative testing, reflection, and adaptation. In our opinion, carrying out research into possible planning innovations thus requires a different type of research methodology from the one typically applied. Because of its static nature, a traditional comparative case-study analysis—as often used in planning research—does not allow for such an iterative, evolutionary process. In this paper we propose a new methodology, which we have labelled ‘experiential case-study analysis’. In this approach each case study provides learning experiences that fuel theory building, but also serve as input for the next case study. We have used this approach to develop and test different planning innovations in three case studies in the field of transport and urban planning in The Netherlands.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
When requesting a correction, please mention this item's handle: RePEc:pio:envirb:v:37:y:2010:i:4:p:578-591. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.