Life-course data reconstruction using complementary information taken from linked lives
Life-course data reconstruction using complementary information taken from linked lives
复制标题
使用从相关生命中获取的补充信息重建生命历程数据
DOI:
10.1016/j.tra.2017.03.016
复制
发表时间:
2017
影响因子:
6.4
通讯作者:
Joachim
中科院分区:
文献类型:
--
作者:
Albrecht;Holz-Rau;Christian;Scheiner;Joachim
Recently, research on travel behaviour has focused on life-course and socialisation effects. As residential decisions are considered to be long-term decisions which affect daily travel behaviour significantly, knowledge of residential experiences made over the life-course may lead to a deeper understanding of later residential decisions and thus travel behaviour. Quantitative retrospective surveys are carried out to gather this information. These studies deal with missing information on particular life stages, e.g. childhood. This paper shows a new methodological approach for quantitative studies, illustrating how such missing life-course data can be reconstructed using complementary information taken from linked lives. The data used have been retrospectively collected from a sample of spatial planning students at TU Dortmund University, their parents and grandparents. The parents’ residential biography from birth until the setting up of a household of their own is reconstructed using information from the grandparents. The reconstructed data are compared with the statements the parents made for the relevant life stages, thus testing how well the reconstruction worked. The results show that the reconstruction works better for the mothers (than fathers) using the grandmothers’ information (rather than the grandfathers'). The findings also indicate that the reconstruction is more or less successful for various types of reconstructed data. The paper concludes with guidelines for future data reconstruction.
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DOI:
--
发表时间:
2015
期刊:
影响因子:
--
作者:
L. Döring
通讯作者:
L. Döring
DOI:
10.1007/s11943-008-0050-y
发表时间:
2008
期刊:
AStA Wirtschafts- und Sozialstatistisches Archiv
影响因子:
--
作者:
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通讯作者:
I. Sieber
DOI:
10.1068/b130027p
发表时间:
2015
期刊:
Environment and Planning B: Planning and Design
影响因子:
--
作者:
Matthias Kowald;T. Arentze;K. Axhausen
通讯作者:
K. Axhausen
影响因子:
4.7
作者:
M. Kreyenfeld;Tom Hensel;R. Walke
通讯作者:
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DOI:
--
发表时间:
2008
期刊:
影响因子:
--
作者:
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通讯作者:
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