This chapter explores the potential of geospatial analysis to characterize land use dynamics in urban areas and the surrounding urban fringe. It focuses on the difference between policy ambitions and reality with respect to urban densification. Policy ambitions for the containment of urban...

Residential development is a dynamic process, as changes in housing stock vary substantially over space and time. These spatiotemporal dynamics are expected to differ in various hierarchical levels of urban areas. Urban cores, peri-urban areas and predominantly rural areas are likely to...

Urban growth is typically considered a process of expansion. As population grows and transport costs decrease urban density gradients are expected to gradually flatten. This is a basic feature of cities, explained by urban economic models and empirically supported by a plethora of studies about...

The development of residential areas over time is a complex process that is characterized by substantial spatial and temporal variation. In essence, residential growth processes lead to two types of development: the construction of new housing units within existing residential areas...

This paper introduces a new model for spatial time series in which cross-sectional dependence varies nonlinearly over space by means of smooth transitions. We refer to our model as the Smooth Transition Spatial Autoregressive (ST-SAR). We establish consistency and asymptotic Gaussianity for the...

In this paper we estimate the impact of road development on household welfare in rural Papua New Guinea over the period between 1996 and 2010, using two cross-sectional household surveys and corresponding road maps. To deal with endogenous placement of road infrastructure programs we employ a...

This paper introduces a new model for spatial time series in which cross-sectional dependence varies nonlinearly over space by means of smooth transitions. We refer to our model as the Smooth Transition Spatial Autoregressive (ST-SAR). We establish consistency and asymptotic Gaussianity for the...

In this paper we estimate the impact of road development on household welfare in rural Papua New Guinea over the period between 1996 and 2010, using two cross-sectional household surveys and corresponding road maps. To deal with endogenous placement of road infrastructure programs we employ a...

This paper introduces a new model for spatial time series in which cross-sectional dependence varies nonlinearly over space by means of smooth transitions. We refer to our model as the Smooth Transition Spatial Autoregressive (ST-SAR). We establish consistency and asymptotic Gaussianity for the...