GIS-based Backcasting - A Method for Parameterisation of Sustainable Spatial Planning and Resource Management
Eva Haslauer, Thomas Blaschke, Markus Biberacher
2014
Abstract
Backcasting, if used as a decision support and planning method, starts from a desired future state or vision and simulates backwards until present time. During the model run, which goes backwards in time, development paths are created. They expose which steps have to be taken in future to reach the desired state. Besides, milestone scenarios are created as outputs that represent interim goals. The paper at hand proposes an automated, GISbased backcasting model, since backcasting so far has only been applied in workshops or as theoretical framework. Until now no spatially explicit backcasting model has been set up. The proposed backcasting model first creates a future scenario utilizing an Agent Based Model approach. Afterwards the model simulates backwards implemented as a Cellular Automaton. This is realized in a Python script and linked to the Open Source GIS software Quantum GIS. The general model is applied to a case study in Salzburg, Austria. The topic concerns sustainable spatial planning. The results of the model run show in time steps a successful backcasting of land-use classes from a future state back until present time.
References
- Carlsson-Kanyama, A., Dreborg, K.-H., Moll, H. C., Padovan, D., 2008. Participative backcasting: A tool for involving stakeholders in local sustainability planning. In: Futures 40, 34-46.
- Clements, M. P., Franses, P. H., Swanson N. R., 2004. Forecasting economic and financial time-series with non-linear models. In: International Journal of Forecasting, 20, 169-183.
- Clements, M. P., Hendry, D. F., 1998. Forecasting economic time series. Cambridge University Press, Cambridge, New York.
- Dreborg, K.-H., 1996. Essence of Backcasting. In: Futures 28, 813-828.
- Grêt-Regamey, A., Brunner, S., 2011. Methodischer Rahmen für den Einsatz von Backcasting zur Anpassung an den Klimawandel (Methodological framework for the application of backcasting on climate change issues). In: disP 184, 43-51.
- Hickman, R., Ashiru, O., Saxena, S., Banister, D., 2009. Visioning and Backcasting for Transport in London. Stages 3/4, Background Report. Halcrow, London. Web: www.vibat.org (May 26, 2014).
- Kim, D., Batty, M., 2011. Calibrating Cellular Automata Models for Simulating Urban Growth: Comparative Analysis of SLEUTH and METRONAMICA. In: UCL Working Papers Series No. 176.
- Macal, C. M., North, M. J., 2010. Tutorial on agent based modelling and simulation. In: Journal of Simulation 4, 151-162.
- Metronamica, 2014. Metronamica Homepage. Web: www.metronamica.nl (April 16, 2014).
- Miola, A., 2008. Backcasting approach for sustainable mobility. In: JRC Scientific and Technical Reports. European Commission, Joint Reseqarch Centre - Institute for Environment and Sustainability.-Ispra.
- Murphy, A. H., Winkler, R. L., 1974. Probability Forecasts: a Survey of National Weather Service Forecaster. In: Bulletin of the American Meteorological Society, 55, 1449-1452.
- Quist, J., 2007. Backcasting, for a sustainable future: the impact after 10 years. Eburon, Delft, 2007.
- Van Berkel, D., Verburg, P., 2012. Combining exploratory scenarios and participatory backcasting: using an agent-based model in participatory policy design for a multi-functional landscape. In: Landscape Ecology 27, 641-658.
- Wächter, P., Ornetzeder, M., Rohracher, H., Scheurer, A., Knoflacher, M., 2012. Towards a Sustainable Spatial Organization of the Energy System: Backcasting Experiences from Austria. In: Sustainability 4, 193- 209.
- Wolfram, S., 1982. Cellular Automata as Simple SelfOrganizing Systems. In: Caltech preprint CALT-68- 938.
Paper Citation
in Harvard Style
Haslauer E., Blaschke T. and Biberacher M. (2014). GIS-based Backcasting - A Method for Parameterisation of Sustainable Spatial Planning and Resource Management . In Doctoral Consortium - DCSIMULTECH, (SIMULTECH 2014) ISBN Not Available, pages 3-8
in Bibtex Style
@conference{dcsimultech14,
author={Eva Haslauer and Thomas Blaschke and Markus Biberacher},
title={GIS-based Backcasting - A Method for Parameterisation of Sustainable Spatial Planning and Resource Management},
booktitle={Doctoral Consortium - DCSIMULTECH, (SIMULTECH 2014)},
year={2014},
pages={3-8},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={Not Available},
}
in EndNote Style
TY - CONF
JO - Doctoral Consortium - DCSIMULTECH, (SIMULTECH 2014)
TI - GIS-based Backcasting - A Method for Parameterisation of Sustainable Spatial Planning and Resource Management
SN - Not Available
AU - Haslauer E.
AU - Blaschke T.
AU - Biberacher M.
PY - 2014
SP - 3
EP - 8
DO -