Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

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

15 references·16 citing·41 second hop

FromToDepth

this work references cited by second hop

References

2007Copula Modeling: An Introduction for Practitioners876 cited
1973Random variables, joint distribution functions, and copulas680 cited
2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
2009A copula-based approach to accommodate residential self-selection effects in travel behavior modeling310 cited
1999Can using global positioning system (GPS) improve trip reporting?282 cited
1998A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions262 cited
2000A comprehensive daily activity-travel generation model system for workers203 cited
2010Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study193 cited
2003Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey178 cited
2005A Trip Reconstruction Tool for GPS-based Personal Travel Surveys161 cited
2006Comparative Analysis of Global Positioning System-Based and Travel Survey-Based Data144 cited
2006Applications of New Technologies in Travel Surveys134 cited
2000Using GPS data loggers to replace travel diaries in the collection of travel data131 cited
2003Trip Rate Analysis in GPS-Enhanced Personal Travel Surveys

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

118 cited

2000Global Positioning System as Data Collection Method for Travel Research116 cited

Cited by

2015The Netherlands Mobility Panel: An Innovative Design Approach for Web-based Longitudinal Travel Data Collection135 cited
2015Developing advanced route choice models for heavy goods vehicles using GPS data92 cited
2017Spatial context mining approach for transport mode recognition from mobile sensed big data61 cited
2020Reviewing trip purpose imputation in GPS-based travel surveys53 cited
2018Automatic Trip Detection with the Dutch Mobile Mobility Panel: Towards Reliable Multiple-Week Trip Registration for Large Samples51 cited
2013Using Smartphones and Sensor Technologies to Automate Collection of Travel Data48 cited
2015Phantom trips: Overestimating the traffic impacts of new development47 cited
2014Tracking daily travel; Assessing discrepancies between GPS-derived and self-reported travel patterns46 cited
2017Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring38 cited
2019Feasibility and Validity of Geographically Explicit Ecological Momentary Assessment With Recall‐Aided Space‐Time Budgets35 cited
2016Crowdsourcing mobility insights – Reflection of attitude based segments on high resolution mobility behaviour data31 cited
2021Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA31 cited
2014Compliance and data quality in GPS-based studies27 cited
2018Capturing fine-scale travel behaviors: a comparative analysis between personal activity location measurement system (PALMS) and travel diary27 cited
2014Empirical examination of neighborhood context of individual travel behaviors26 cited
2019Integrated Multimedia City Data (iMCD): A composite survey and sensing approach to understanding urban living and mobility25 cited