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Tracking daily travel; Assessing discrepancies between GPS-derived and self-reported travel patterns

机译:跟踪日常旅行;评估GPS得出的旅行模式和自我报告的旅行模式之间的差异

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Global Positioning Systems (GPS) technologies have been used in conjunction with traditional one- or two-day travel diaries to audit respondent reporting patterns, but we used GPS-based monitoring to conduct the first assessment to our knowledge of travel reporting patterns using a seven-day travel log instrument, which could reduce response burden and provide multiple-day, policy-relevant information for evaluation studies. We found substantial agreement between participant-reported daily travel patterns and GPS-derived patterns among 116 adult residents of a largely low-income and non-white transportation corridor in urbanized Los Angeles in 2011-2013. For all modes, the average difference between daily GPS- and log-derived trip counts was only about 0.39 trips and the average difference between daily GPS- and log-derived walking duration was about -11.8 min. We found that the probability that a day would be associated with agreement or discrepancies between these measurement tools varied by travel mode and participant socio-demographic characteristics. Future research is needed to investigate the potential and limitations of this and other self-report instruments for a larger sample and a wider range of population groups and travel patterns.
机译:全球定位系统(GPS)技术已与传统的一两天旅行日记结合使用,以审核受访者的报告模式,但是我们使用基于GPS的监控对我们的旅行报告模式知识进行了首次评估,使用了七个天旅行日志工具,可以减少响应负担并为评估研究提供多天的与政策相关的信息。我们发现,在2011-2013年间,洛杉矶市区化的低收入和非白人交通走廊的116名成年居民中,参与者报告的日常出行方式与GPS衍生出的方式之间存在实质性的一致性。对于所有模式,每日GPS和日志得出的行程计数之间的平均差仅为0.39趟,而每日GPS和日志得出的行走持续时间之间的平均差约为-11.8分钟。我们发现,一天与这些测量工具之间的一致性或差异相关的概率会因出行方式和参与者的社会人口统计学特征而异。需要进行进一步的研究,以调查这种和其他自我报告工具在更大样本量和更大范围的人口群体和出行方式方面的潜力和局限性。

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