Multilevel models for analyzing people’s daily movement behavior |
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| Authors: | Matteo Bottai Nicola Salvati Nicola Orsini |
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| Affiliation: | (1) Department of Epidemiology and Biostatistics, University of South Carolina, 800 Sumter Street, Columbia, SC 29208, USA;(2) Dipartimento di Statistica e Matematica Applicata all’Economia, University of Pisa, via Ridolfi 10, Pisa, 56124, Italy;(3) Institute of Environmental Medicine, Karolinska Institutet, Box 210, 171 77 Stockholm, Sweden |
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| Abstract: | A survey on the daily movement behavior of the people residing in the territory of the Municipality of Pisa, Italy, was carried out in October 2002. This work is aimed at modeling the distance covered and the number of trips taken in a day as functions of several individual characteristics. In order to take the potential intra-family and intra-area correlation of the observations into account, multilevel models are estimated. We use two and three level hierarchical linear and Poisson models to estimate the number of daily trips taken by an individual. Likelihood ratio tests indicate the movement behavior in 1 day is more alike for individuals within a family than for individuals from different families. |
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| Keywords: | Multilevel Hierarchical Mixed-effects models Intra-family correlation Dependent data |
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