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Longitudinaal Verplaatsingsonderzoek, meting 7, 1987 - LVO

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CESSDA2024-04-25 更新2025-04-26 收录
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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 seventh 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 had to be filled out, describing all mobility during one week. 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>

本数据集聚焦通用出行发展框架下公共交通票价上调的影响监测。本说明对应纵向出行调查(Longitudinaal Verplaatsingsonderzoek)的第七轮调研,后续各轮调研将以不同的研究编号存档。本次调查主要监测公共交通票价上调所引发的出行行为变化、出行活动情况及相关影响。数据通过问卷方式采集,调研对象需填写出行日志,记录一周内的全部出行活动。本次采集的详细数据涵盖:家庭构成、家庭财务状况、工作时长、通勤情况、出行补贴、私家车与火车使用情况、公共交通优惠卡使用情况等。本轮调研共包含7份数据文件,分别为家庭数据(A=SPSS格式文件,D=原始数据)、家庭成员数据(B=SPSS格式文件,E=原始数据)、换乘数据(C=原始数据)、周出行矩阵数据(F=原始数据)以及通勤数据(G=原始数据)。背景变量包括:基础特征、居住状况、家庭特征、职业/就业状况、收入/资产、教育水平、耐用消费品消费情况。

创建时间:
2013-08-23
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