The influence of commuting in socio--economic dynamics increases constantly. Analysing and modelling the networks formed by commuters to help decision--making regarding the land--use has become crucial. This paper presents a simple spatial interaction simulated model with only one parameter. The proposed algorithm considers each individual who wants to commute, starting from their living place to all their workplaces. It decides where the location of the workplace following the classical rule inspired from the gravity law consisting in a compromise between the job offers and the distance to the jobs. The further away the job offer is, the more important it must be in order to be considered. Inversely, only the quantity of offers is important for the decision when these offers are close. The paper also presents a comparative analysis of the structure of the commuting networks of the four European regions to which we apply our model. The model is calibrated and validated on these regions. Results from the analysis shows that the model is very efficient in reproducing most of the statistical properties of the network given by the data sources.
ResumenEste documento busca identificar el desarrollo humano y social en áreas rurales donde la energía juega un papel importante en la forma en la cual las personas toman decisiones y su papel en la mejora de la calidad de vida, medida como la satisfacción de las necesidades básicas de Maslow. El modelo de simulación basada en agentes (ABM) descrito, en conjunto con los resultados de simulaciones realizadas permite caracterizar y concluir respecto al impacto de la adopción de la energía en el desarrollo de una región rural. El estudio muestra que las comunidades están en capacidad de adaptarse y generar un incremento en la calidad de vida mediante el uso de la energía en la vida diaria, permitiendo mostrar que la adopción de una energía en la zona es una herramienta que posibilita el desarrollo de la región.Palabras clave: simulación basada en agentes; desarrollo; energia; simulación social; Netlogo; zonas rurales aisladas
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