A Smartphone-Based Travel Survey Trial Conducted in Kumamoto, Japan: An Examination of Voluntary Participants' Attributes
A Smartphone-Based Travel Survey Trial Conducted in Kumamoto, Japan: An Examination of Voluntary Participants' Attributes
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发表时间：
2014
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通讯作者：
T. Maruyama;S. Mizokami;E. Hato
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作者：
T. Maruyama;S. Mizokami;E. Hato
越来越多的智能手机用户可以帮助收集大量的个人位置跟踪数据。位置跟踪数据通常对旅行调查和交通规划有用。一些早期的研究采用了基于智能手机的旅行调查方法。然而，抽样目标有限。本文介绍了一个基于智能手机的旅行调查，针对大规模的人口。智能手机应用程序为Android和iPhone平台开发。向日本熊本的13,279户家庭邮寄了邀请个人参加与大规模家庭旅行调查有关的补充调查的信件。最终，97名参与者参与了一项基于智能手机的调查，该调查提供了零激励。之前基于智能手机的旅行调查确实提供了激励措施。相比之下，97名同意参加的参与者，尽管没有奖励，是通过随机分发的邮件邀请信招募的。对结果的检查显示，参与者在参与调查期间的纯粹倾向仍然没有激励偏见。此外，结果表明，男性比女性更有可能参与调查。20多岁的参与者更有可能参与这项调查，尽管他们经常无法完成调查。从事制造业、能源、医疗和公共相关服务职业的个人参与率更高。基于智能手机的调查参与者的平均出行率在统计学上高于传统家庭出行调查参与者的平均出行率。这些发现可以用于开发类似的基于智能手机的旅游调查在未来。
Increasing numbers of smartphone owners can help collect huge amounts of individual location tracking data. The location tracking data is typically useful for travel survey and transportation planning. Several earlier studies employed smartphone-based travel survey methods. However, sampling targets were limited. This paper describes a smartphone-based travel survey that targeted a large-scale population. Smartphone apps were developed for both Android and iPhone platforms. Letters inviting individuals to participate in a supplemental survey related to a large-scale household travel survey were mailed to 13,279 households in Kumamoto, Japan. Ultimately, 97 participants participated in a smartphone-based survey that offered zero incentives. Previous smartphone-based travel surveys did offer incentives. In contrast, the 97 participants who agreed to participate despite zero incentives were recruited by the use of randomly distributed mail-out invitation letters. An examination of the results revealed that participants' pure tendencies during their participation in the survey remained free of incentive bias. In addition, the results indicated that males were more likely to participate in the survey than females. Participants in their 20s were more likely to participate in the survey although they frequently failed to complete it. Individuals employed in manufacturing, energy, medical and public-related service occupations demonstrated higher participation rates. Smartphone-based survey participants' average trip rates were statistically higher than the average trip rates of traditional household travel survey participants. These findings can be used to develop similar smartphone-based travel surveys in the future.