This paper provides an empirical analysis of the multidimensional, spatio-temporal quality of life (QoL) trends followed by neighbourhoods in Charlotte, NC, between 2000 and 2010. Employing a combined geocomputational and visual technique based on the self-organising map, the study addresses...

In this paper we argue that visualization, data management and computational capabilities of geographic information systems (GIS) can assist transportation stated preference research in capturing the contextual complexity of many transportation decision environments by providing respondents with...

Transport is debated by many, and liberalization processes, transport policy, transport and climate change and increased competition between transport modes are the subject of heated discussion. Smart Transport Networks illustrates that whether concerning road, water, rail or air, knowledge on...

type="main" xml:lang="es" <title type="main">Resumen</title> <p>Este artículo estudia la apreciación del valor del suelo rural y los efectos de la redistribución de la riqueza del sistema de tierras dual de China, tomando a Beijing como estudio de caso. Proponemos un método robusto para estimar el diferencial en el valor...</p>

This paper explores the impact of multipurpose and multistop shopping behavior on spatial competition among retail firms. The problem deals with a duopoly situation on a line segment. It is shown analytically that a unique location-price Nash equilibrium exists. In equilibrium, the locational...

The contention of this paper is that many social science research problems are too “wicked” to be suitably studied using conventional statistical and regression-based methods of data analysis. This paper argues that an integrated geospatial approach based on methods of machine learning is...