Multi-Week Travel Surveys Using GPS Devices

Author:

Feng Tao1,Timmermans Harry1

Affiliation:

1. Eindhoven University of Technology, The Netherlands

Abstract

Previous research has demonstrated that the value of GPS technology in collecting activity-travel data as an alternative to traditional travel surveys depends largely on the accuracy of data imputation and good survey management. In this chapter, the authors discuss experiences in the use of GPS-devices in a large-scale study aimed at collecting multi-week activity-travel diaries in two regions in The Netherlands. GPS devices were used to collect basic movement information, which was processed using Bayesian Belief Network to derive daily activity-travel diaries, and validated using a Web-based prompted recall instrument. The large-scale travel survey was administered across one year. The chapter addresses several issues regarding the design and management of GPS data collection. Reported experiences are expected to provide a useful source of reference for future multi-week travel surveys using GPS technology.

Publisher

IGI Global

Reference10 articles.

1. Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands

2. Bonsall, P., & Schade, J. Roessger, L., & Lythgoe, B. (2011). Can we believe what they tell us? Factors affecting respondent's engagement with survey tasks. In Proceedings of 9th International Conference on Transport Survey Methods. Termas de Puyehue.

3. Feng, T., & Timmermans, H. J. P. (2013). Analysis of error in prompted recall surveys. In Proceedings of the XII NECTAR International Conference. São Miguel Island, Portugal: NECTAR.

4. Comparison of conventional versus GPS-based data collection in the French National Travel Survey.;P.Marchal;Proceedings of the International Conference of the New Techniques and Technologies for Statistics,2013

5. Semiautomatic Imputation of Activity Travel Diaries

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3