Crowd-sourced web survey for household travel diaries
Crowd-sourced web survey for household travel diaries
复制标题
家庭旅行日记众包网络调查
DOI：
10.1016/j.trpro.2022.02.031
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Amit Agarwal
中科院分区：
文献类型：
--
作者：
Harsh Vardhan;Ishan Rai;Nidhi Kathait;Amit Agarwal
这项研究提供了一个开源的、基于网络的、自我完成的和/或个人访谈的调查平台，即旅行调查即服务(TSaaS)，目前托管三种不同的调查类型。本研究建议使用TSaaS平台作为家庭旅行日记的众包数据收集方法。TSaaS提供了灵活性，可以使用网络调查格式同时为不同的目的/地点进行多项调查。为了更好地控制数据收集过程，可以为一个地区的家庭旅行日记(或任何其他调查)创建多个调查链接。最终，收集的数据可以根据需要联合或单独处理。数据被记录在有效的数据结构中。个人信息和位置既不会被询问也不会使用设备或其他方式进行跟踪。为了帮助回忆活动地点，提供了位置搜索字段，并将其与地图集成。永久地址、出行起点和目的地被记录为地图上最近的地标，该位置在地图上显示为标记。如果需要，可以调整地图上的标记以更正位置。在斋浦尔进行了一项试点研究，并尝试了三种不同的数据收集方法。从调查完成率、调查完成时间和每种方法的时间成本三个方面对这些方法进行了比较。事实证明，就每完成调查记录的时间成本而言，众包网络调查是最有效的，最适合在城市群中收集大量调查记录。
This study presents an open-source, web-based, self-completion and/or personal-interview survey platform, namely Travel Survey as a Service (TSaaS), which currently hosts three different survey types. This study proposes to use the TSaaS platform as the crowd-sourced data collection approach for household travel diaries. The TSaaS provides flexibility to conduct multiple surveys for different purposes/locations simultaneously using a web survey format. For better control of the data collection process, multiple survey links for household travel diaries (or any other survey) in a region can be created. Eventually, collected data can be processed jointly or separately as per the requirements. The data is recorded in an efficient data structure. Personal information and location are neither asked nor tracked using devices or otherwise. To assist in recalling the activity locations, a location-search field is provided and integrated with a map. The permanent address, trip origin, and destination are recorded as the nearest landmark on the map, and the location is shown as a marker on the map. The marker on the map can be adjusted to correct the location if required. A pilot study was conducted in Jaipur, and three different data collection approaches are attempted. The approaches are compared in terms of survey completion rate, survey completion time, and time-cost of each approach. The crowd-sourced web survey turns out to be the most efficient in terms of the time-cost per completed survey record and most suitable to collect a large number of survey records in an urban agglomeration.