IDEAS home Printed from https://ideas.repec.org/r/taf/transr/v34y2014i3p316-334.html

Review of GPS Travel Survey and GPS Data-Processing Methods

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Kan, Zihan & Kwan, Mei-Po & Liu, Dong & Tang, Luliang & Chen, Yang & Fang, Mengyuan, 2022. "Assessing individual activity-related exposures to traffic congestion using GPS trajectory data," Journal of Transport Geography, Elsevier, vol. 98(C).
  2. Rathachai Chawuthai & Agachai Sumalee & Thanunchai Threepak, 2023. "GPS Data Analytics for the Assessment of Public City Bus Transportation Service Quality in Bangkok," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
  3. Yaxuan Zhang & Chunjiang Li & Ying Song & Yanwei Chai & Yingling Fan, 2024. "Personalizing the dichotomy of fixed and flexible activities in everyday life: deriving prism anchors from GPS-enabled survey data," Transportation, Springer, vol. 51(3), pages 1063-1088, June.
  4. Hong, Ye & Stüdeli, Emanuel & Raubal, Martin, 2023. "Evaluating geospatial context information for travel mode detection," Journal of Transport Geography, Elsevier, vol. 113(C).
  5. Hong Yan & Kees Maat & Bert Wee, 2025. "Cycling speed variation: a multilevel model of characteristics of cyclists, trips and route tracking points," Transportation, Springer, vol. 52(5), pages 1857-1886, October.
  6. Seter, Hanne & Arnesen, Petter & Hjelkrem, Odd André, 2019. "The data driven transport research train is leaving the station. Consultants all aboard?," Transport Policy, Elsevier, vol. 80(C), pages 59-69.
  7. Shaojun Liu & Yi Long & Ling Zhang & Jing Yang & Wenfei Dong, 2025. "Quantitative measurement of urban spatial vitality by integrating physical built environment and subjective perception dimensions," Environment and Planning B, , vol. 52(1), pages 131-149, January.
  8. Danielle McCool & Peter Lugtig & Barry Schouten, 2024. "Maximum interpolable gap length in missing smartphone-based GPS mobility data," Transportation, Springer, vol. 51(1), pages 297-327, February.
  9. Siripirote, Treerapot & Sumalee, Agachai & Ho, H.W., 2020. "Statistical estimation of freight activity analytics from Global Positioning System data of trucks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
  10. Liu, Jianmiao & Li, Junyi & Chen, Yong & Lian, Song & Zeng, Jiaqi & Geng, Maosi & Zheng, Sijing & Dong, Yinan & He, Yan & Huang, Pei & Zhao, Zhijian & Yan, Xiaoyu & Hu, Qinru & Wang, Lei & Yang, Di & , 2023. "Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management," Applied Energy, Elsevier, vol. 331(C).
  11. Mai, Tien & Bui, The Viet & Nguyen, Quoc Phong & Le, Tho V., 2023. "Estimation of recursive route choice models with incomplete trip observations," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 313-331.
  12. Dario Ballarano & Marco Petrelli & Alessandra Renna, 2022. "Validation Method for a Multimodal Freight Transport Model Exploiting Floating Car Data," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
  13. Joseph Molloy & Alberto Castro & Thomas Götschi & Beaumont Schoeman & Christopher Tchervenkov & Uros Tomic & Beat Hintermann & Kay W. Axhausen, 2024. "Correction to: The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland," Transportation, Springer, vol. 51(3), pages 1167-1168, June.
  14. Md. Sakoat Hossan & Hamidreza Asgari & Xia Jin, 2018. "Trip misreporting forecast using count data model in a GPS enhanced travel survey," Transportation, Springer, vol. 45(6), pages 1687-1700, November.
  15. Kaili Wang & Yicong Liu & Sanjana Hossain & Khandker Nurul Habib, 2026. "Who drops off web-based travel surveys? Investigating the impact of respondents dropping out of travel diaries during online travel surveys," Transportation, Springer, vol. 53(2), pages 675-711, April.
  16. McArthur, David Philip & Hong, Jinhyun, 2019. "Visualising where commuting cyclists travel using crowdsourced data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 233-241.
  17. Heike Link & Dennis Gaus & Neil Murray & Maria Fernanda Guajardo Ortega & Flavien Gervois & Frederik von Waldow & Sofia Eigner, 2023. "Combining GPS Tracking and Surveys for a Mode Choice Model: Processing Data from a Quasi-Natural Experiment in Germany," Discussion Papers of DIW Berlin 2047, DIW Berlin, German Institute for Economic Research.
  18. Seo, Toru & Kusakabe, Takahiko & Gotoh, Hiroto & Asakura, Yasuo, 2019. "Interactive online machine learning approach for activity-travel survey," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 362-373.
  19. Jee, Hyungsub & Schmöcker, Jan-Dirk & Pullarp, Theeranai & Watkins, Kari Edison & Barbeau, Sean, 2026. "Utilizing long-term crowdsourced sparse trajectory data to extract temporal regularity in behavioral patterns," Journal of Transport Geography, Elsevier, vol. 130(C).
  20. Roy, Avipsa & Fuller, Daniel & Nelson, Trisalyn & Kedron, Peter, 2022. "Assessing the role of geographic context in transportation mode detection from GPS data," Journal of Transport Geography, Elsevier, vol. 100(C).
  21. Adam, Arnaud & Finance, Olivier & Thomas, Isabelle, 2021. "Monitoring trucks to reveal Belgian geographical structures and dynamics: From GPS traces to spatial interactions," Journal of Transport Geography, Elsevier, vol. 91(C).
  22. Katie Crist & Tarik Benmarhnia & Steven Zamora & Jiue-An Yang & Dorothy D. Sears & Loki Natarajan & Lindsay Dillon & James F. Sallis & Marta M. Jankowska, 2021. "Device-Measured and Self-Reported Active Travel Associations with Cardiovascular Disease Risk Factors in an Ethnically Diverse Sample of Adults," IJERPH, MDPI, vol. 18(8), pages 1-16, April.
  23. Florian Aschauer & Inka Rösel & Reinhard Hössinger & Heinz Brian Kreis & Regine Gerike, 2019. "Time use, mobility and expenditure: an innovative survey design for understanding individuals’ trade-off processes," Transportation, Springer, vol. 46(2), pages 307-339, April.
  24. Petter Arnesen & Olav Kåre Malmin & Erlend Dahl, 2020. "A forward Markov model for predicting bicycle speed," Transportation, Springer, vol. 47(5), pages 2415-2437, October.
  25. Silm, Siiri & Tominga, Ago & Saidla, Karl & Poom, Age & Tammaru, Tiit, 2024. "Socio-economic and residential differences in urban modality styles based on a long-term smartphone experiment," Journal of Transport Geography, Elsevier, vol. 115(C).
  26. Mariem Fekih & Tom Bellemans & Zbigniew Smoreda & Patrick Bonnel & Angelo Furno & Stéphane Galland, 2021. "A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)," Transportation, Springer, vol. 48(4), pages 1671-1702, August.
  27. P. Christopher Zegras & Menghan Li & Talip Kilic & Nancy Lozano-Gracia & Ajinkya Ghorpade & Marco Tiberti & Ana I. Aguilera & Fang Zhao, 2018. "Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania," Transportation, Springer, vol. 45(2), pages 335-363, March.
  28. Paria Sadeghian & Arman Golshan & Mia Xiaoyun Zhao & Johan Håkansson, 2025. "A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data," Transportation, Springer, vol. 52(4), pages 1745-1765, August.
  29. Rongxiang Su & Somayeh Dodge & Konstadinos G. Goulias, 2022. "Understanding the impact of temporal scale on human movement analytics," Journal of Geographical Systems, Springer, vol. 24(3), pages 353-388, July.
  30. Klingwort, Jonas, 2021. "Die Verwendung von Straßensensoren und Capture-recapture-Techniken zur Messfehlerkorrektur in Surveys," WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), Wiesbaden, vol. 73(1), pages 49-58.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.