Welcome to the LeefOmgevingsVerkenner / Environment Explorer webpage.

In a densely populated and highly planned country such as the Netherlands it is important that spatial policy takes into account the existing complex interactions and pressures. As space is limited and the activities of different actors are bound to interfere with each other, an integrated approach taking into account social, economic and ecological considerations is necessary. The LeefOmgevingsVerkenner (LOV) or Environment Explorer is a spatial dynamic model that offers help for this difficult task.

The primary purpose is to explore policy alternatives in relation to the quality of the environment in which the Dutch citizens live, work and recreate. The core of the LOV is a land use simulation model; on the basis of geographical principles (push and pull factors, accessibility) and the geographical reality (zoning maps, land suitability) the model calculates trajectories of land use change. Thus ex ante simulation may be used to explore future land uses (de Nijs et al. 2004), but also ex post approaches can be followed to evaluate past policies (Geurs et al. 2003).

The core model is a so called Constrained Cellular Automata model (Engelen et al. 2003. White and Engelen 1997). It does not function all on its own however. Instead, a tight integration with several other models makes the LOV a highly dynamic system that incorporates spatial processes operating at different scales:

  • Forecasts of socio-economic developments from national models are used as input to the model.

  • On the regional level a spatial interaction model serves to distribute the national growth over 40 COROP regions. This model also takes into account the relocation of activities from one region to the other as an effect of differences in regional attractivity.

  • On the local level not only the Constrained Cellular Automata is active, but also several indicator models that evaluate the land use changes from different social, economic and ecological perspectives.

  • The transport model operates on the basis of 345 transport zones and a detailed road network. This model evaluates the effect of streams of traffic on congestion and accessibility. the LOV recognizes that the spatial distribution of activities, in particular residential and employment, generates traffic streams. Their effect on the level of congestion and accessibility has a direct feedback to the relative attractivity of different location and regions.

It is clear that an integrated model of such complex interaction is subject to a large degree of uncertainty. Managing this uncertainty is an important factor in using the model and has been a central issue in research and development.

  • The model has been extensively calibrated and validated (RIKS 2004)

  • Sensitivity analysis, calibration, and validation is largely automatized by dedicated algorithms and tools (Straatman et al 2004, RIKS 2004).

  • Spatial similarity measures are developed for a balanced evaluation of map similarity. (Hagen 2003, Power et al. 2001)

  • The LOV can be run in Monte Carlo modus, which allows to obtain a spatial distribution of likelyhood of land use transitions under the influence of uncertainty and error propagation

The LOV is developed by the Research Institue for Knowledge Systems (www.riks.nl) for the Netherlands Environmental Assessment Agency (www.mnp.nl), who is owner of the software (The LOV is developed using the Geonamica framework, which is owned by RIKS BV). It is part of the LUMOS spatial modelling toolbox. For more information on this toolbox visit www.lumos.info.

Literature:

Engelen, G., White, R., & Nijs (de), T. (2003). Environment Explorer: Spatial support system for the integrated assessment of socio-economic and environmental policies in the Netherlands. Integrated assessment, 4(2), 97-105.

Geurs, K., Hagen, A., Hoen, A., & Wee (van), B. (2003, 6-10 October). Ex post evaluation of Dutch spatial planning and infrastructure policies,. Paper presented at the European Transport Conference, Strasbourg, France.

Hagen, A. (2003). Fuzzy set approach to assessing similarity of categorical maps. International Journal of Geographical Information Science, 17(3), 235-249.

Nijs (de), T. C. M., de Niet, R., & Crommentuijn, L. (2004). Constructing land-use maps of the Netherlands in 2030. Journal of Environmental Management, 72(1-2), 35-42.

Power, C., Simms, A., & White, R. (2001). Hierarchical fuzzy pattern matching for the regional comparison of land use maps. International Journal of Geographical Information Sci-ence, 15(1), 77-100.

RIKS (2004). LeefOmgevingsVerkenner: Kalibratie van de LOV. Research report commissioned by RIVM, Maastricht, 1-162

Straatman, B., White, R., & Engelen, G. (2004). Towards an automatic calibration procedure for constrained cellular automata. Computers, Environment and Urban Systems, 28(1-2), 149-170.

White, R., & Engelen, G. (1997). Cellular automata as the basis of integrated dynamic regional modelling. Environment and Planning B: Planning and Design, 24, 235-246.

A. Hagen-Zanker, J. van Loon, A. Maas, B. Straatman, T. de Nijs and G. Engelen, Measuring performance of land use models: An evaluation framework for the calibration and validation of integrated land use models featuring cellular automata, Paper presented at 14th European Colloquium on Theoretical and Quantitative Geography, held 9-13 September 2005 in Tomar (Portugal)

Karst T. Geurs & Bert van Wee (2006, in press) Ex Post Evaluation of 30 Years Compact Urban Development in the Netherlands, Urban Studies 41(3)