A spatially explicit backcasting approach for sustainable land-use planning

Eva Haslauer, Markus Biberacher and Thomas Blaschke

Journal of Environmental Planning and Management, 2016, vol. 59, issue 5, 866-890

Abstract: General backcasting as a decision support and planning method starts from desired future states and simulates developments backwards until reaching the present state. Development pathways that reveal steps to be taken to reach a certain future state, and milestones that serve as interim goals, are created during the process. Backcasting has hitherto only been applied in workshops or as a theoretical framework and no spatially explicit backcasting model has previously been established. This paper presents the development of a spatially explicit backcasting model. The proposed model first creates a future scenario utilizing an agent-based model and then simulates backwards. It is implemented using the programming language Python. The model has been applied to a case study for sustainable land-use planning in Salzburg, Austria. The results of the model run show a successful backcasting of land-use classes from a future state back to the present, in 10 year time steps.

Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2015.1044652 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:59:y:2016:i:5:p:866-890

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20

DOI: 10.1080/09640568.2015.1044652

Access Statistics for this article

Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page

More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().