遇见数据集

1990 Seattle Household Travel Survey Wave 2

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DataCite Commons2026-04-07 更新2025-06-15 收录
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The Seattle Household Travel Survey Wave 2, conducted in 1990, was the second wave in a 10-part longitudinal panel survey of the travel patterns of households in the Puget Sound region of Washington state. The survey series was initiated in 1989 by the Puget Sound Regional Council. Data collection for the second wave took place in the fall of 1990, which included full interviews and travel diaries, as well as some panel refreshment. Demographic and work trip data updates, but no travel diaries, were gathered for 2,023 households in four counties in the Seattle area. The survey relied on the willingness of study area residents to 1) provide demographic information about their household, its members, and its vehicles; 2) document all travel for each household member, aged 15 years or older, for an assigned two-day period; and 3) agree to participate in additional survey waves. After an initial telephone screening, survey participants received mailed travel diaries to aid in documenting travel information for the two-day assessment period. Respondents were instructed to record their mode of transportation, trip purpose, number of passengers, departure and arrival times, ride fare, and parking costs. Demographic information for this study includes age, gender, education, employment status, and household income.

1990年实施的西雅图家庭出行调查第二期(Seattle Household Travel Survey Wave 2),是针对华盛顿州普吉特海湾地区家庭出行模式开展的10波纵向追踪面板调查的第二期。该调查系列由普吉特海湾地区委员会(Puget Sound Regional Council)于1989年启动。第二期调查的数据采集工作于1990年秋季开展,涵盖完整访谈、出行日志采集以及部分面板样本更新。本次研究为西雅图地区四个县域的2023户家庭收集了人口统计与通勤出行数据更新,但未为其采集出行日志。本调查依托研究区域居民的三项配合要求:一是提供其家庭、家庭成员及家用车辆的人口统计信息;二是记录每位15周岁及以上家庭成员在指定两日周期内的全部出行情况;三是同意参与后续的调查波次。在初始电话筛查环节完成后,调查参与者会收到邮寄的出行日志,用于辅助记录两日评估周期内的出行信息。受访者需按要求记录其出行方式、出行目的、乘客人数、出发与到达时间、乘车费用及停车成本。本研究的人口统计信息涵盖年龄、性别、教育程度、就业状况与家庭收入。

创建时间:
2023-02-17
搜集汇总
背景与挑战
背景概述
该数据集是1990年西雅图家庭出行调查的第二波,属于一个10波纵向面板研究,由Puget Sound区域委员会发起,旨在追踪华盛顿州普吉特湾地区家庭出行模式的变化。它收集了西雅图地区四个县2023个家庭的人口统计信息(如年龄、性别、教育、就业、收入)和出行数据(包括出行方式、目的、时间、费用等),通过电话筛选和邮寄出行日记完成数据采集。
以上内容由遇见数据集搜集并总结生成
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