A review of travel behavioural pattern using GPS dataset: A systematic literature review

In the last few years, the Global positioning system (GPS) has been used to study travel patterns with the advancement of data collection techniques. A GPS device precisely records the time and the location data of an individual travel. The accuracy of travel studies is usually improved by integrati...

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Main Authors: Prahaladhan Sivalingam, David Asirvatham, Mohsen Marjani, Jafar Ali Ibrahim Syed Masood, N.S. Kalyan Chakravarthy, Gopinath Veerisetty, Martha Tri Lestari
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Measurement: Sensors
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917424000072
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author Prahaladhan Sivalingam
David Asirvatham
Mohsen Marjani
Jafar Ali Ibrahim Syed Masood
N.S. Kalyan Chakravarthy
Gopinath Veerisetty
Martha Tri Lestari
author_facet Prahaladhan Sivalingam
David Asirvatham
Mohsen Marjani
Jafar Ali Ibrahim Syed Masood
N.S. Kalyan Chakravarthy
Gopinath Veerisetty
Martha Tri Lestari
author_sort Prahaladhan Sivalingam
collection DOAJ
description In the last few years, the Global positioning system (GPS) has been used to study travel patterns with the advancement of data collection techniques. A GPS device precisely records the time and the location data of an individual travel. The accuracy of travel studies is usually improved by integrating travel surveys or travel activity diaries with GPS data. GPS surveys are implemented to replace paper-based techniques and reduce human error on trip-misreporting issues. Several reviews have been performed previously on GPS travel studies. Still, a detailed systematic review on the comparison of different modes and methods on the entire procedure of GPS data processing has not been thoroughly studied. This review identified 116 peer-reviewed studies and journal papers from 2013 to 2020, and 53 papers were studied. The review focused on travel behavior pattern (TBP) analysis using GPS studies only and a combination of travel surveys. Our review reveals that 53 only 40 have quality assessment scores of >50 %, meaning the remaining TBP studies are conventional methods. The study also benefits data analysis and researchers to select the most appropriate data collection techniques for studying TBP and improvise them further for meta-analysis travel behavior studies.
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spelling doaj.art-42f78af4dd3b48c9a2a6f151e961db732024-03-18T04:34:35ZengElsevierMeasurement: Sensors2665-91742024-04-0132101031A review of travel behavioural pattern using GPS dataset: A systematic literature reviewPrahaladhan Sivalingam0David Asirvatham1Mohsen Marjani2Jafar Ali Ibrahim Syed Masood3N.S. Kalyan Chakravarthy4Gopinath Veerisetty5Martha Tri Lestari6Faculty of Innovation & Technology, Taylor's University, Subang Jaya, MalaysiaFaculty of Innovation & Technology, Taylor's University, Subang Jaya, MalaysiaFaculty of Innovation & Technology, Taylor's University, Subang Jaya, Malaysia; Corresponding author.Department of Internet of Things, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632 014, Tamilnadu, India; Corresponding author.Center for Data Science, School of Computer Science and Engineering, QIS College of Engineering and Technology, Ongole, 523272, Andhra Pradesh, IndiaDepartment of Mechanical Engineering, QIS College of Engineering and Technology, Ongole, 523272, Andhra Pradesh, IndiaDepartment of Business Communication, Telkom University, IndonesiaIn the last few years, the Global positioning system (GPS) has been used to study travel patterns with the advancement of data collection techniques. A GPS device precisely records the time and the location data of an individual travel. The accuracy of travel studies is usually improved by integrating travel surveys or travel activity diaries with GPS data. GPS surveys are implemented to replace paper-based techniques and reduce human error on trip-misreporting issues. Several reviews have been performed previously on GPS travel studies. Still, a detailed systematic review on the comparison of different modes and methods on the entire procedure of GPS data processing has not been thoroughly studied. This review identified 116 peer-reviewed studies and journal papers from 2013 to 2020, and 53 papers were studied. The review focused on travel behavior pattern (TBP) analysis using GPS studies only and a combination of travel surveys. Our review reveals that 53 only 40 have quality assessment scores of >50 %, meaning the remaining TBP studies are conventional methods. The study also benefits data analysis and researchers to select the most appropriate data collection techniques for studying TBP and improvise them further for meta-analysis travel behavior studies.http://www.sciencedirect.com/science/article/pii/S2665917424000072GPSTravel surveyTravel patternGPS devicesSystematic reviewGPS dataset
spellingShingle Prahaladhan Sivalingam
David Asirvatham
Mohsen Marjani
Jafar Ali Ibrahim Syed Masood
N.S. Kalyan Chakravarthy
Gopinath Veerisetty
Martha Tri Lestari
A review of travel behavioural pattern using GPS dataset: A systematic literature review
Measurement: Sensors
GPS
Travel survey
Travel pattern
GPS devices
Systematic review
GPS dataset
title A review of travel behavioural pattern using GPS dataset: A systematic literature review
title_full A review of travel behavioural pattern using GPS dataset: A systematic literature review
title_fullStr A review of travel behavioural pattern using GPS dataset: A systematic literature review
title_full_unstemmed A review of travel behavioural pattern using GPS dataset: A systematic literature review
title_short A review of travel behavioural pattern using GPS dataset: A systematic literature review
title_sort review of travel behavioural pattern using gps dataset a systematic literature review
topic GPS
Travel survey
Travel pattern
GPS devices
Systematic review
GPS dataset
url http://www.sciencedirect.com/science/article/pii/S2665917424000072
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