Multilevel models for analyzing people's daily movement behavior

被引：20

作者：

Bottai, Matteo

Salvati, Nicola

Orsini, Nicola

机构：

[1] Univ S Carolina, Dept Epidemiol & Biostat, Columbia, SC 29208 USA

[2] Univ Pisa, Dipartimento Stat & Matemat Appl Econ, I-56124 Pisa, Italy

[3] Karolinska Inst, Inst Environm Med, S-17177 Stockholm, Sweden

来源：

JOURNAL OF GEOGRAPHICAL SYSTEMS | 2006年 / 8卷 / 01期

关键词：

multilevel; hierarchical; mixed-effects models; intra-family correlation; dependent data;

D O I：

10.1007/s10109-006-0017-x

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

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.

引用

页码：97 / 108

页数：12

共 23 条

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