A new modelling tool for integrated analysis of the long term interaction between the transport system and the land-use pattern is presented. The location pattern, of households and businesses, is important when dealing with long-term decisions like investment in transport infrastructure. A common problem when transport policies are analysed with sophisticated transport models is that they usually demand quite detailed land-use scenarios, and the cost of producing them often leads to a situation where land-use scenarios are used that are not consistent with the policies under study. The LandScapes model addresses that by integrating a dynamic time-stepping household and employment location model with a transport model. The level of detail, spatial and socio-economic, is the same in both models, which makes it possible to identify how costs and benefits are distributed in the system over time. The impact from transport on the land-use demand is via accessibility to amenities, which are computed directly in the transport model. The housing and employment demand models are estimated on land-use data in a time series, including e.g. prices of apartments and private homes. The housing market in the model clears the prices of available housing each year, and the transport market is modelled as a balance between transport demand and a network equilibrium. The time-stepping model framework comes at a fairly hich computational price. The trade-off chosen in LandScapes was to sacrifice some sophistication in the transport model, such as elaborate trip chaining, and fine-grained socio-economic groups, and instead focus on speed and consistency between the land-use and transport parts.