This paper presents the results of a research project aimed towards, first, the characterisation of pedestrian flows in urban corridors and the identification of their explanatory variables, and second, the development of a model that would allow a prediction of these flows. The characterisation of current pedestrian trips has been obtained from data collected through a survey designed specifically for this purpose and carried out in six gauging points along the road being analysed. With regard to identifying the main explanatory variables of the phenomenon, the statistical–mathematical method of principal component analysis was applied to all the socioeconomic and geographic variables available. Lastly, in order to come up with the predictions, a gravitational-type model was calibrated. The final result is a simple model (dependent only on three variables) that offers a solid base upon which different types of infrastructure and public services can be programmed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.