An analysis of the factors influencing differences in survey-reported and GPS-recorded trips-Reference-Cited by-同舟云学术

An analysis of the factors influencing differences in survey-reported and GPS-recorded trips

Published:2012-04 Issue:1 Volume:21 Page:67-88
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Bricka Stacey G.,Sen Sudeshna,Paleti Rajesh,Bhat Chandra R.

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference40 articles.

1. Field evaluation of personal digital assistant enabled by GPS: impact on quality of activity and diary data;Bellemans;Transportation Research Record,2008

2. A copula-based approach to accommodate residential self-selection effects in travel behavior modeling;Bhat;Transportation Research Part B,2009

3. A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions;Bhat;Transportation Research Part B,1998

4. A comprehensive daily activity-travel generation model system for workers;Bhat;Transportation Research Part A,2000

5. Bohte, W., Maat, K., 2008. Deriving and validating trip destinations and modes for multi-day GPS based travel surveys: an application in the Netherlands. Presented at the 87th Annual Meeting of the Transportation Research Board, Washington, DC, January.

Cited by 79 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

1. Reliability and Unreliability Aspects of Travel Time Analysis on the Stochastic Network Using the Target-Oriented Perspective;Sustainability;2024-06-17

2. Trip misreporting mining and expansion method for household travel survey;Transportation Research Part A: Policy and Practice;2024-04

3. An open-source interactive travel diary for web-based trip reporting;Transportation Research Procedia;2024

4. An Evaluation of Smartphone Tracking for Travel Behavior Studies;ISPRS International Journal of Geo-Information;2023-08-11

5. Small and big data for mobility studies;Smart Urban Mobility;2023