Abstract
The importance of studying the behavior of people and the expansion of access to spatial data has led to development of activities related to study of movement of individuals as well as discovery of patterns and behavior of individuals for better use in urban planning and policymaking. Understanding the relationship between demographic variables and human movement as well as extraction of behavioral patterns is essential to assess different social issues such as locating infrastructures and city management, reducing traffic and structure of urban communities. This paper aims to explore a Swiss human movement sample dataset, called MDC, in order to discover the effect of demographic parameters on human movement patterns in Switzerland. The users’ movement is characterized by area and shape index of the movements as the determinants of the activity space. The results declare that middle age users, females and people who work have more active mobility pattern, since they have higher area and shape index than users in other groups. Data analysis and comparison of results indicate that age and working are two decisive demographic factors for area and shape index of the activity space so they are useful for understanding some of the human’s movement characteristics.
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Mobile Data Challenge.
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Javanmard, R., Esmaeili, R., Karimipour, F. (2018). On Correlation Between Demographic Variables and Movement Behavior. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10961. Springer, Cham. https://doi.org/10.1007/978-3-319-95165-2_33
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