This paper proposes a hedonic regression model to estimate housing prices and the spatial variability of prices over multiple years. Using the model, maps are obtained that represent areas of the city where there have been positive or negative changes in housing prices. The regression-cokriging (RCK) method is used to predict housing prices. The results are compared to the cokriging with external drift (CKED) model, also known as universal cokriging (UCK). To apply the model, heterotopic data of homes for sale at different moments in time are used. The procedure is applied to predict the spatial variability of housing prices in multi-years and to obtain isovalue maps of these variations for the city of Granada, Spain. The research is useful for the fields of urban studies, economics, real estate, real estate valuations, urban planning, and for scholars.

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The present work seeks to address significant research gaps relating to brand equity and Service-Dominant Logic, specifically examining the influence of tourist geographical context on Consumer-based Destination Brand Equity (CBDBE). The purpose of the study is to identify an explanatory model for CBDBE, considering the indirect effects that tourists from a nearby geographical location may exert on CBDBE, because of their proximity and shared context. Self-congruity, tourist motivations, and value-creation are found to be antecedent variables of CBDBE. A spatial econometric model was used that took into account the spatial spillover-effect of geographical proximity on the variable CBDBE, and the direct and indirect effects of the antecedent variables. The results of the study make a contribution to the specialized literature on brand destination and Service-Dominant Logic, and offer interesting implications for the professional domain, with clear implications for the identification of market development patterns and trends.

Numerous works have addressed the problem of the hedonic modelling of housing prices, in which structural and locational variables of dwellings are considered. Among the latter, it is common to include variables related to transport accessibility. However, few studies have considered the effects of proximity to railway lines, and even less so freight railroads. This study determines the size of the width of influence (buffer zone) of negative externalities associated with the freight train line in the city of Santa Marta, Colombia. Moreover, the effect of this width on housing prices is studied. A hedonic model was estimated using spatial econometrics and geostatistical methods. Geostatistical techniques were used to obtain an isovalues map for the price of a standard dwelling. The study is of interest to the fields of real estate, territorial planning and transport systems, among others.

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