five

Longitudinaal Verplaatsingsonderzoek, meting 5, 1986 - LVO

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https://datacatalogue.cessda.eu/detail?lang=en&q=f287b789d204371fd4baf573cfeafe025f17468906c36d9023b225c9d9e36b83
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<p>Monitoring the effects of tariff raises in public transport within the framework of the general mobility developments. This description comprises the fifth wave of the longitudinal mobility survey ( longitudinaal verplaatsingsonderzoek ). Subsequent waves will be stored under different study numbers. The survey monitors ( changes in ) transportational behaviour, mobility and effects of raising tariffs for public transportation. Data were gathered by questionnaire. Diaries, describing all mobility during one week, were used. Detailed data were gathered on: family composition, financial situation of family, working hours, commuting, travelling allowances, car, train, use of reduced fare cards for public transport. This wave consists of seven files, containing family-data( A=SPSS-file, D=raw data ), family member-data ( B=SPSS-file, E=raw data ), transfer-data ( C=raw data ), week-matrices ( F=raw data ) and commuting-data( G=raw data ) respectively. Background variables: basic characteristics/ residence/ household characteristics/ occupation/employment/ income/capital assets/ education/ consumption of durables</p>

在总体出行发展框架下监测公共交通票价上调的影响。本描述涵盖纵向出行调查(longitudinaal verplaatsingsonderzoek)的第五波次,后续调查波次将以不同研究编号存储。本调查监测出行行为、流动性及公共交通票价上调影响的(变化)。数据通过问卷收集,并采用记录一周内所有出行情况的日志。收集的详细数据包括:家庭构成、家庭经济状况、工作时长、通勤情况、交通补贴、汽车与火车使用情况,以及公共交通优惠卡的使用情况。本波次包含七个文件,分别存储家庭数据(A=SPSS文件、D=原始数据)、家庭成员数据(B=SPSS文件、E=原始数据)、换乘数据(C=原始数据)、周矩阵数据(F=原始数据)及通勤数据(G=原始数据)。背景变量包括:基本特征/居住情况/家庭特征/职业/就业状况/收入/资本资产/教育程度/耐用品消费情况。
提供机构:
DANS Data Station Social Sciences and Humanities
创建时间:
2013-08-16
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