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Integration of a phone-based household travel survey and a web-based student travel survey

机译：整合了基于电话的家庭旅行调查和基于网络的学生旅行调查

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A significant share of transportation forecasting models are based on household travel survey data, frequently gathered through phone-based travel surveys. Over the last decade, these surveys have faced a variety of issues, namely a decrease in response rates and increases in potential sampling biases since their sampling frames are typically constructed using a list of land-line numbers. Although the weighting process can manage some of these issues, their scale is becoming a problem. In recent years, several experiments have been conducted in order to integrate multiple survey methods and data sources to obtain better quality databases. This paper reports on an experimentation conducted in 2012 in the region of Sherbrooke, in the province of Quebec, Canada. A web based travel survey was conducted among the regions' student population-in parallel to the large-scale household phone travel survey- in order to increase both the representativeness of the sampling frame and the response rate among 20-29 year-olds. This paper presents the methodology used to integrate both survey samples in order to create a more representative view of typical travel behaviors in the region of Sherbrooke. The paper demonstrates that by combining the samples, we succeed in reducing heterogeneity in sampling rates among population segments which translates into an increase in trip rates (global and transit) for the target population. Challenges related to the combination of survey methods and samples are discussed.
机译：交通预测模型的很大一部分是基于家庭旅行调查数据，这些数据通常是通过电话旅行调查收集的。在过去的十年中，这些调查面临许多问题，即响应速度下降和潜在的抽样偏差增加，因为它们的抽样框架通常是使用固定电话号码列表构建的。尽管加权过程可以解决其中一些问题，但它们的规模正在成为一个问题。近年来，已经进行了一些实验，以集成多种调查方法和数据源以获得更好质量的数据库。本文报告了2012年在加拿大魁北克省舍布鲁克地区进行的一项实验。在该地区的学生群体中进行了基于网络的旅行调查，同时进行了大规模的家庭电话旅行调查，以提高抽样框的代表性和在20-29岁年龄段儿童中的答复率。本文介绍了用于整合两个调查样本的方法，以便为在舍布鲁克地区的典型旅行行为提供更具代表性的观点。本文表明，通过组合样本，我们成功地减少了人口细分中抽样率的异质性，这转化为目标人群的出行率（全球性和过境性）增加。讨论了与调查方法和样本的组合有关的挑战。

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