Spatial housing economics: a survey

This introduction to the Virtual Special Issue surveys the development of spatial housing economics from its roots in neo-classical theory, through more recent developments in social interactions modelling, and touching on the role of institutions, path dependence and economic history. The survey also points to some of the more promising future directions for the subject that are beginning to appear in the literature. The survey covers elements hedonic models, spatial econometrics, neighbourhood models, housing market areas, housing supply, models of segregation, migration, housing tenure, sub-national house price modelling including the so-called ripple effect, and agent-based models. Possible future directions are set in the context of a selection of recent papers that have appeared in Urban Studies. Nevertheless, there are still important gaps in the literature that merit further attention, arising at least partly from emerging policy problems. These include more research on housing and biodiversity, the relationship between housing and civil unrest, the effects of changing age distributions - notably housing for the elderly - and the impact of different international institutional structures. Methodologically, developments in Big Data provide an exciting framework for future work

Compensation for Commuting in Imperfect Urban Markets

We develop an urban equilibrium job search model with employed and unemployed individuals where residential mobility of the unemployed is restricted. We assume a standard mono-centric model (firms are located in one location), but allow for imperfect labour markets. In contrast to models with perfect labour markets, the model predicts that the employed are only partially compensated for commuting costs in the form of wages. As a result, rent gradients are less steep than predicted by standard urban theories that assume perfectly competitive labour markets. © 2007 the author(s). Journal compilation © 2007 RSAI

Design, fabrication and control of soft robots

Conventionally, engineers have employed rigid materials to fabricate precise, predictable robotic systems, which are easily modelled as rigid members connected at discrete joints. Natural systems, however, often match or exceed the performance of robotic systems with deformable bodies. Cephalopods, for example, achieve amazing feats of manipulation and locomotion without a skeleton; even vertebrates such as humans achieve dynamic gaits by storing elastic energy in their compliant bones and soft tissues. Inspired by nature, engineers have begun to explore the design and control of soft-bodied robots composed of compliant materials. This Review discusses recent developments in the emerging field of soft robotics.National Science Foundation (U.S.) (Grant IIS-1226883

If we build it, will they pay? Predicting property price effects of transport innovations

In this study I apply a gravity-type labor-market accessibility model to the Greater London Area to investigate house price capitalization effects. The spatial scope of labor-market effects is found to be about 60 minutes. Doubling accessibility increases the utility of an average household by about 12%. I combine the gravity approach with a transport decision model that takes into account the urban rail network architecture, allows for mode switching, and thus accounts for the effective accessibility offered by a station, to predict the property price effects of the 1999 Jubilee Line and DLR extension. A considerable degree of heterogeneity is predicted both in terms of the magnitude as well as the spatial extent of price effects around new stations. A quasi-experimental property price analysis reveals that the model performs well in predicting the effective capitalization effects, suggesting that the approach might be a viable ingredient in transport planning