It has been argued that gravity models are the most popular mathematical description of human interaction (Sheppard, 1984). In relation to housing prices, gravity based accessibility measures have been suggested as a generalization of modern polycentric labour market structures (Heikkila et al....

A variety of methods have been developed which allow the estimation of benefits likely to arise from new transport infrastructure. In this paper, we concentrate on measuring commuting-related benefits. We compare and contrast two different approaches. The first relies on using data on commuting...

It is well known that measures of labour market accessibility explain spatial variation in housing prices, even in markets with polycentric labour market structures. This paper examines whether data on observed commuting patterns can replace or supplement gravity-based measures representing the...

This paper explores possible reasons for persistent spatial unemployment disparities using agent-based computational methods. The method relies on observing the actions of thousands of individuals within an artificial society. The paper models the effect of unemployment insurance, wage...

Traffic congestion and the policies to combat it have been studied extensively. However, most studies neglect the labour market impacts of congestion. Many also fail to account for the simultaneity between commuting and migration. This paper models impacts such as unemployment disparities,...

This paper primarily focuses on predicting housing price gradients in a Norwegian region with one dominating center. Spatial separation is represented by a function of the traveling distance from the city center in a traditional hedonic regression equation. Several functions are tested, and some...