Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case
Angel Lopez
orcid.org/0000-0002-9080-4859
; Facultad de Ingeniería en Electricidad y Computación, Politécnica del Litoral, Guayaquil, Ecuador
Ivana Semanjski
; Ghent University, Department of Telecommunications and Information Processing, Ghent, Belgium
Dominique Gillis
; Ghent University, Department of Telecommunications and Information Processing, Ghent, Belgium
Daniel Ochoa
; Facultad de Ingeniería en Electricidad y Computación, Politécnica del Litoral, Guayaquil, Ecuador
Sidharta Gautama
; Ghent University, Department of Telecommunications and Information Processing, Ghent, Belgium
APA 6th Edition Lopez, A., Semanjski, I., Gillis, D., Ochoa, D. i Gautama, S. (2016). Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case. Transactions on Maritime Science, 05 (02), 121-129. https://doi.org/10.7225/toms.v05.n02.003
MLA 8th Edition Lopez, Angel, et al. "Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case." Transactions on Maritime Science, vol. 05, br. 02, 2016, str. 121-129. https://doi.org/10.7225/toms.v05.n02.003. Citirano 07.03.2021.
Chicago 17th Edition Lopez, Angel, Ivana Semanjski, Dominique Gillis, Daniel Ochoa i Sidharta Gautama. "Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case." Transactions on Maritime Science 05, br. 02 (2016): 121-129. https://doi.org/10.7225/toms.v05.n02.003
Harvard Lopez, A., et al. (2016). 'Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case', Transactions on Maritime Science, 05(02), str. 121-129. https://doi.org/10.7225/toms.v05.n02.003
Vancouver Lopez A, Semanjski I, Gillis D, Ochoa D, Gautama S. Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case. Transactions on Maritime Science [Internet]. 2016 [pristupljeno 07.03.2021.];05(02):121-129. https://doi.org/10.7225/toms.v05.n02.003
IEEE A. Lopez, I. Semanjski, D. Gillis, D. Ochoa i S. Gautama, "Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case", Transactions on Maritime Science, vol.05, br. 02, str. 121-129, 2016. [Online]. https://doi.org/10.7225/toms.v05.n02.003
Sažetak Traditional travel survey methods have been widely used for collecting information about urban mobility although Global Position System (GPS) has become an automatic option for collecting more precise data of the households since mid-1990s. Many studies on mobility patterns have focused on the GPS advantages leaving aside its issues such as the quality of the data collected. However, when it comes to extract the frequency of the trips and travelled distance, this technology faces some gaps due to the related issues such as signal reception and time-to-first-fix location that turns out in missing observations and respectively unrecognised or over-segmented trips. In this study, we focus on two aspects of GPS data for a car-mode, (i) measurement of the gaps in the travelled distance and (ii) estimation of the travelled distance and the factors that influence the GPS gaps. To asses that, GPS tracks are compared to a ground truth source. Additionally, the trips are analysed based on the land use (e.g. urban and rural areas) and length (e.g. short, medium and long trips). Results from 170 participants and more than a year of GPStracking show that around 9 % of the travelled distance is not captured by GPS and it affects more short trips than long ones. Moreover, we validate the importance of the time spent on the user activity and the land use as factors that influence the gaps in GPS.