Identifying Tourist Spatial and Temporal Patterns Using GPS and Sequence Alignment Method

Yunseon Choe; Choong Ki Lee; Jinmu Choi; Minjun Kim; Kyu Won Sim

doi:10.1177/00472875221127685

Identifying Tourist Spatial and Temporal Patterns Using GPS and Sequence Alignment Method

Yunseon Choe, Choong Ki Lee, Jinmu Choi, Minjun Kim, Kyu Won Sim

Public Service and Community Solutions, Watts College of (WATTS)

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This study identified the spatial and temporal patterns of national park visitors by combining global positioning system (GPS) technologies and surveys using the sequence alignment method (SAM) based on the concept of space–time path of time geography. Data were collected from a sample of 344 GPS tracks and questionnaires obtained from Gyeryongsan National Park in South Korea. A complex random stratified sampling method was employed to represent a national sample based on mobile positioning data. The result of the SAM analysis revealed that the derived visitor typologies constituted three groups from 83 unique paths extracted from 341 sequences. Significant intergroup differences were found for the paths based on average travel distance, average visit duration, and average travel speed. The main theoretical contribution of this study is in expanding the application of the theory by providing methodological improvements using SAM and GPS analysis of the theoretical basis of time geography.

Original language	English (US)
Pages (from-to)	1181-1201
Number of pages	21
Journal	Journal of Travel Research
Volume	62
Issue number	6
DOIs	https://doi.org/10.1177/00472875221127685
State	Published - Jul 2023

Keywords

global positioning system
mobile positioning data
sequence alignment method
spatial and temporal pattern
visitor typology

ASJC Scopus subject areas

Geography, Planning and Development
Transportation
Tourism, Leisure and Hospitality Management

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10.1177/00472875221127685

Cite this

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title = "Identifying Tourist Spatial and Temporal Patterns Using GPS and Sequence Alignment Method",

abstract = "This study identified the spatial and temporal patterns of national park visitors by combining global positioning system (GPS) technologies and surveys using the sequence alignment method (SAM) based on the concept of space–time path of time geography. Data were collected from a sample of 344 GPS tracks and questionnaires obtained from Gyeryongsan National Park in South Korea. A complex random stratified sampling method was employed to represent a national sample based on mobile positioning data. The result of the SAM analysis revealed that the derived visitor typologies constituted three groups from 83 unique paths extracted from 341 sequences. Significant intergroup differences were found for the paths based on average travel distance, average visit duration, and average travel speed. The main theoretical contribution of this study is in expanding the application of the theory by providing methodological improvements using SAM and GPS analysis of the theoretical basis of time geography.",

keywords = "global positioning system, mobile positioning data, sequence alignment method, spatial and temporal pattern, visitor typology",

author = "Yunseon Choe and Lee, {Choong Ki} and Jinmu Choi and Minjun Kim and Sim, {Kyu Won}",

note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A5B5A01023368). The authors would like to thank the Korean National Park Service for sharing the data utilized for this study. Publisher Copyright: {\textcopyright} The Author(s) 2022.",

year = "2023",

month = jul,

doi = "10.1177/00472875221127685",

language = "English (US)",

volume = "62",

pages = "1181--1201",

journal = "Journal of Travel Research",

issn = "0047-2875",

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TY - JOUR

T1 - Identifying Tourist Spatial and Temporal Patterns Using GPS and Sequence Alignment Method

AU - Choe, Yunseon

AU - Lee, Choong Ki

AU - Choi, Jinmu

AU - Kim, Minjun

AU - Sim, Kyu Won

N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A5B5A01023368). The authors would like to thank the Korean National Park Service for sharing the data utilized for this study. Publisher Copyright: © The Author(s) 2022.

PY - 2023/7

Y1 - 2023/7

N2 - This study identified the spatial and temporal patterns of national park visitors by combining global positioning system (GPS) technologies and surveys using the sequence alignment method (SAM) based on the concept of space–time path of time geography. Data were collected from a sample of 344 GPS tracks and questionnaires obtained from Gyeryongsan National Park in South Korea. A complex random stratified sampling method was employed to represent a national sample based on mobile positioning data. The result of the SAM analysis revealed that the derived visitor typologies constituted three groups from 83 unique paths extracted from 341 sequences. Significant intergroup differences were found for the paths based on average travel distance, average visit duration, and average travel speed. The main theoretical contribution of this study is in expanding the application of the theory by providing methodological improvements using SAM and GPS analysis of the theoretical basis of time geography.

AB - This study identified the spatial and temporal patterns of national park visitors by combining global positioning system (GPS) technologies and surveys using the sequence alignment method (SAM) based on the concept of space–time path of time geography. Data were collected from a sample of 344 GPS tracks and questionnaires obtained from Gyeryongsan National Park in South Korea. A complex random stratified sampling method was employed to represent a national sample based on mobile positioning data. The result of the SAM analysis revealed that the derived visitor typologies constituted three groups from 83 unique paths extracted from 341 sequences. Significant intergroup differences were found for the paths based on average travel distance, average visit duration, and average travel speed. The main theoretical contribution of this study is in expanding the application of the theory by providing methodological improvements using SAM and GPS analysis of the theoretical basis of time geography.

KW - global positioning system

KW - mobile positioning data

KW - sequence alignment method

KW - spatial and temporal pattern

KW - visitor typology

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Identifying Tourist Spatial and Temporal Patterns Using GPS and Sequence Alignment Method

Abstract

Keywords

ASJC Scopus subject areas

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