Land use change models are tools to support the analysis of the causes and consequences of land use dynamics. Scenario analysis with land use models can support land use planning and policy. Numerous land use models are available, developed from different disciplinary backgrounds. This paper reviews current models to identify priority issues for future land use change modelling research. This discussion is based on six concepts important to land use modelling: (1) Level of analysis; (2) Cross-scale dynamics; (3) Driving forces; (4) Spatial interaction and neighbourhood effects; (5) Temporal dynamics; and (6) Level of integration. For each of these concepts an overview is given of the variety of methods used to implement these concepts in operational models. It is concluded that a lot of progress has been made in building land use change models. However, in order to incorporate more aspects important to land use modelling it is needed to develop a new generation of land use models that better address the multi-scale characteristics of the land use system, implement new techniques to quantify neighbourhood effects, explicitly deal with temporal dynamics and achieve a higher level of integration between disciplinary approaches and between models studying urban and rural land use changes. If these requirements are fulfilled models will better support the analysis of land use dynamics and land use policy formulation.

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Many countries now have policies to reduce distances travelled by private car and to favour the use of public transport, cycling and walking. The development of compact urban forms and the design of urban communities which favour walking are seen as particularly effective strategies for reducing car dependency. The factors which determine travel behaviour are not fully understood, so that effective policies influencing travel patterns are difficult to formulate. Apart from urban form and design, personal attributes and circumstances have an impact on modal choice and distances travelled. People with higher incomes are more likely to own and use a private car than low-income households. Families with children use cars more often than one-person households. The purpose of a trip-work, shopping and leisure—also influences travel mode and distance. We used the Netherlands National Travel Survey (OVG) to explore some of these relationships in more depth. The relative importance of personal attributes and the characteristics of residential environments as determinants of modal choice and travel distance were explored. Both sets of factors maintain a clear, strong relationship with travel behaviour in multivariate models of travel behaviour.

Land-use-change patterns are the result of the complex interaction between the human and the physical environment. Case studies of the determinants of land-use change can help to analyse which theory is appropriate in a particular region and stimulate the development of new theoretic understandings. In this paper an empirical method is presented to analyse the pattern of land-use change that allows a wide range of factors, from different disciplines, to contribute to the explanation of land-use change. The method is applied to the Netherlands, based on an extensive database of land-use change and its potential determinants. Historic as well as recent land-use changes are studied. Historic land-use change is related mainly to the variation in the biophysical environment. Levels of explanation are low because of the inability to address the temporal variation in location factors. For the recent changes in land use high levels of explanation are obtained. The most important changes during this period are expansions of residential, industrial/commercial, and recreational areas. The location of these changes can be explained by a combination of accessibility measures, spatial policies, and neighbourhood interactions. On the basis of these results it is possible to define priority topics for in-depth analysis of land-use-change processes and suggest factors, relations, and processes that need to be included in dynamic land-use-change models that support land-use-planning policies.

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