This paper presents a spatial microsimulation modelling and predictive policy analysis system called Micro-MaPPAS, a Planning Support System (PSS) constructed for a local strategic partnership in a large metropolitan area of the UK. The innovative feature of this system is the use of spatial...

This paper elucidates the manner in which users of an online decision support system respond to spatially distributed data when assessing the solution to environmental risks, specifically, nuclear waste disposal. It presents tests for revealing whether users are responding to geographical data...

Climate change and advances in urban technology propel forward the ‘smart city’. As decision makers strive to find a technological fix, smart city strategies are often based on technological orthodoxies which are conceptually and empirically shallow. The motivation behind this paper is to...

In this paper we describe the development of Internet-based approaches to public participation and on-line spatial decision support systems in particular. Two case studies in developing web-based public participation GIS (PPGIS), one local and one regional, are described in detail. Results from...

It has long been argued that spatial microsimulation models can be used to estimate the impact of major changes in the local labour market through job losses or gains, including local multiplier effects. In a previous paper we have used SimLeeds, which is a spatial microsimulation model for the...

This paper examines alternative methodologies to build a typology for rural areas in Europe. First, it reviews the methodologies that have traditionally been used to construct area typologies in various contexts. It then uses data for European NUTS3 regions to build a typology for rural areas in...

Greek cities are a seminal part of the Mediterranean urbanization thesis. Corresponding features include the comparatively belated occurrence of urban in-migration, the particularity of the urban pull factors, and the unplanned nature of urban expansion. The considerable and extensive...