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首页> 外文期刊>Transportation planning and technology >An inductive experimental approach to developing a web-based travel survey builder: developing guidelines to design an efficient web-survey platform
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An inductive experimental approach to developing a web-based travel survey builder: developing guidelines to design an efficient web-survey platform

机译：开发基于Web的旅行调查构建器的归纳实验方法：开发设计有效网络调查平台的指导

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摘要

The household travel survey (HTS) is the most widely used passenger travel data collection method, and web-based HTS is currently the most dominant survey mode. However, there is a lack of proper understanding on how much the web-based approach can be used without over-burdening respondents. This study investigates methods to improve web-based HTS data quality and to reduce response burdens. It presents the lessons learned from the development and field experiment of a web survey builder. A particular focus is on designing and testing a trip diary interface through usability tests. These tests include a mouse-movement tracking study, mock web-based HTS experiments with responsive designs, and the use of a route planner application programming interface (API). Results show that creating responsive designs for web-surveys based on screen size can significantly increase completion rates and improve the usability. Collecting detailed routes with a route planner API suggesting most likely routes does not significantly increase respondent fatigue. However, it significantly improves data quality. Household size and the age of the survey respondent are significant contributing factors to survey drop-off rates and respondent fatigue. The paper contributes to the literature on household travel surveys by providing evidence-based design guidelines for web-survey interfaces.
机译：家庭旅游调查（HTS）是最广泛使用的客运数据收集方法，基于Web的HTS是目前最主导的调查模式。但是，对没有过度负担的受访者可以使用基于网络的方法缺乏正确的理解。本研究调查了改善基于Web的HTS数据质量的方法，并减少响应负担。它提出了从网络调查建设者的开发和现场实验中了解到的经验教训。特定的重点是通过可用性测试设计和测试旅行日记界面。这些测试包括鼠标运动跟踪研究，用响应式设计模拟基于Web的HTS实验，以及使用路线规划应用程序编程接口（API）。结果表明，根据屏幕尺寸为网络调查创建响应设计，可以显着提高完成速率并提高可用性。通过路线规划API收集详细路由，表明最有可能的路线不会显着增加受访者的疲劳。但是，它显着提高了数据质量。家庭规模和调查受访者的年龄是调查下降率和受访者疲劳的重要因素。本文通过为网络调查界面提供基于证据的设计指南，为家庭旅行调查有贡献。

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