Examining the Connective Patterns of Tourism Destinations in Multi-Destination Travel: A Case of Deagu, South Korea (다목적지 여행에서 관광 목적지 간의 연결 패턴 조사: 대구광역시를 사례로)

KANG SANGHOON (강상훈); Park, Deukhee (박득희)

doi:10.17086/JTS.2020.44.7.107.124

Examining the Connective Patterns of Tourism Destinations in Multi-Destination Travel: A Case of Deagu, South Korea

Journal of Tourism Sciences
Abbr : JTS
2020, 44(7), pp.107-124
DOI : 10.17086/JTS.2020.44.7.107.124
Publisher : The Tourism Sciences Society Of Korea
Research Area : Social Science > Tourism
Received : August 13, 2020
Accepted : September 2, 2020
Published : October 1, 2020

KANG SANGHOON ¹, Park, Deukhee ²

¹동아대학교
²경희대학교 관광학과

Excellent Accredited

ABSTRACT

Continuous advances in tourism environments, such as in transportation and information technology, have enabled tourists to visit multiple destinations during a single trip and inspired multi-destination travel research. Yet theoretical development around multi-destination travel lags behind, particularly in systematically explaining the hierarchical structure of complex connections between/among tourism destinations. This study explores the connective patterns of tourism destinations by applying central place theory from geography. Data were drawn from the 2018 Daegu Tourism Survey, conducted by the metropolitan city of Daegu. These data were processed using several social network analysis techniques, including density analysis and normalized closeness centrality, to identify inter-destination connections. Tourists were also classified into two groups (high- and low-expense) based on their travel expenses. Results reveal clear differences in network density between these groups. The groups’ ranking of tourism destinations varied as well. Additionally, a central tourism destination was identified by the closeness centrality, indicating that central place theory can effectively convey the distribution patterns of tourism destinations in a city. These findings offer theoretical and practical implications to enhance tourism destination environments.

KEYWORDS

Multi-destination travel, Central place theory, Social network analysis, Normalized, Closeness centrality, Daegu

Citation status

* References for papers published after 2023 are currently being built.

[journal] Ashworth, G. / 2011 / Urban tourism research : Recent progress and current paradoxes / Tourism Management 32(1) : 1~15

[report] Borgatti, S. P. / 2002 / UCINET for windows: Software for social network analysis / analytic technologies

[book] Choi, S. D. / 2020 / 관광개발 성공했나? 지자체의과제 / Baeksan Publisher

[book] Christaller, W. / 1966 / Central places in southern Germany / Prentice-Hall

[report] Daegu Metropolitan City / 2019 / 2018 Daegu Tourism Survey

[journal] Fennell, D. A. / 1996 / A tourist space-time budget in the Shetland Islands / Annals of Tourism Research 23(4) : 811~829

[journal] Hallo, J. C. / 2012 / GPS as a method for assessing spatial and temporal use distributions of nature-based tourists / Journal of Travel Research 51(5) : 591~606

[journal] Han, H. / 2018 / Spatial movement patterns among intra-destinations using social network analysis / Asia Pacific Journal of Tourism Research 23(8) : 806~822

[web] Hanneman, R. A. / 2005 / Introduction to social network methods / University of California / http://faculty.ucr.edu/~hanneman/nettext

[journal] Irwin, M. D. / 1992 / Centrality and the structure of urban interaction : Measures, concepts, and applications / Social Forces 71(1) : 17~51

[journal] 정희진 / 2011 / Neo-Han Ryu Market Segmentation based on Psychographic profile among Chinese and Japanese visitors / 한국산학기술학회논문지 / 한국산학기술학회 12(7) : 3006~3015

[journal] 강상훈 / 2014 / Multi-destination Travel Decisions by International Tourists to Korea / 관광학연구 / 한국관광학회 38(6) : 233~252

[journal] Kang, S. / 2014 / National tourism policy and spatial patterns of domestic tourism in South Korea / Journal of Travel Research 53(6) : 791~804

[thesis] Kang, S. / 2015 / Examining the space-time constraints concept on tourist behavior for visitors to the South Carolina coastal area of the United States / Doctor / Clemson University

[journal] 강상훈 / 2016 / Tourism Destination Hierarchy and Space : Time Constraints in a Coastal Tourism Region / 호텔경영학연구 / 한국호텔외식관광경영학회 25(5) : 155~169

[journal] Kang, S. / 2016 / Associations between space–time constraints and spatial patterns of travels / Annals of Tourism Research 61 : 127~141

[journal] Kang, S. / 2018 / Identifying the spatial structure of the tourist attraction system in South Korea using GIS and network analysis : An application of anchor-point theory / Journal of Destination Marketing & Management 9 : 358~370

[journal] 강상훈 / 2018 / Are there differences in international tourists' behavior between the types of deciding to visit Korea? / 지역산업연구 / 산업경영연구소 41(1) : 195~216

[journal] Kang, S. / 2020 / How do tourists search for tourism information via smartphone before and during their trip? / Tourism Recreation Research 45(1) : 57~68

[web] Kim, J. / 2020 / ‘대구경북 관광의 해’ 목표와 추진전략, 특화 콘텐츠·인프라 확충…시·도 협력 상생관광 대전환 / https://www.idaegu.co.kr/news/article-View.html?idxno=297519

[book] Kim, H. K. / 1997 / 한국공간구조론 / SNU Press

[journal] Kim, H. J. / 2020 / 관광 거점도시추진을 통한 지역관광 활성화 방향 / Korea Tourism Policy 79 : 10~17

[journal] 김재익 / 2003 / Paradigm Shifts of Planning and Their Implications for Urban Planning & Management / 주택연구 / 한국주택학회 11(1) : 5~26

[journal] 김윤영 / 2010 / Exploratory Research on Network-Centric Tourism Development as an Alternative to Multi-Regional Tourism Planning / 서울도시연구 / 서울연구원 11(3) : 123~138

[journal] 이대은 / 2017 / Analyzing multi-destination travel of Chinese free independent tourists using social network analysis techniques: The case of Seoul, Incheon, and Gyeonggi Province / 관광연구저널 / 한국관광연구학회 31(5) : 37~48

[journal] Lee, H. / 2019 / Do online information sources really make tourists visit more diverse places? Based on the social networking analysis / Information Processing & Management 56(4) : 1376~1390

[journal] 이영주 / 2003 / Developing Urban Space as a Tourist Destination / 서울도시연구 / 서울연구원 4(2) : 43~56

[journal] 이영주 / 2004 / The Characteristics of Urban Tourism Development and Future Research Directions / 국토연구 / 국토연구원 43 : 4~4

[journal] Leiper, N. / 1979 / The framework of tourism : Towards a definition of tourism, tourist, and the tourist industry / Annals of Tourism Research 6(4) : 390~407

[journal] Liu, B. / 2017 / An application of network analysis on tourist attractions : The case of Xinjiang, China / Tourism Management 58 : 132~141

[journal] Lue, C. C. / 1993 / Conceptualization of multi-destination pleasure trips / Annals of Tourism Research 20(2) : 289~301

[journal] Marsden, P. V. / 2002 / Egocentric and sociocentric measures of network centrality / Social Networks 24(4) : 407~422

[journal] Mayhew, B. H. / 1980 / Structuralism versus individualism : Part 1, shadowboxing in the dark / Social Forces 59(2) : 335~375

[web] Ministry of Culture, Sports and Tourism / 2019 / 제4차 국가관광전략회의 관련 / http://www.korea.kr/news/policyBriefingView.do?newsId=156366054

[report] Ministry of Culture, Sports and Tourism / 2020 / 2019 International visitor survey

[book] Neal, Z. P. / 2013 / The connected city: How networks are shaping the modern metropolis / Routledge

[book] Nooy, D. Y. / 2005 / Exploratory social network analysis with Pajek / Cambridge University Press

[journal] Park, D. / 2019 / Does distance matter? Examining the distance effect on tourists’ multi-attraction travel behaviors / Journal of Travel & Tourism Marketing 36(6) : 692~709

[journal] 박득희 / 2018 / Social network analysis approach to Korean domestic tourists based on transportation mode: Focusing on attractions in Busan / 관광연구저널 / 한국관광연구학회 32(3) : 39~54

[journal] 박득희 / 2016 / Understanding of Multiple Destination Tour Behavior among Inbound Free Independent Tourists Using Social Network Analysis : A Case of Gyeonggi-do Tourism Destination / 호텔경영학연구 / 한국호텔외식관광경영학회 25(4) : 201~216

[journal] 박득희 / 2020 / Determinants of Tourism Destination Ranks in Multi-destination Travel - An Application of Anchor-point Theory - / 관광학연구 / 한국관광학회 44(5) : 97~115

[journal] Park, S. / 2020 / Spatial structures of tourism destinations : A trajectory data mining approach leveraging mobile big data / Annals of Tourism Research 84 : 102973~

[journal] Pearce, D. G. / 2001 / An integrative framework for urban tourism research / Annals of Tourism Research 28(4) : 926~946

[book] Prell, C. / 2011 / Social network analysis: History, theory & methodology / SAGE

[journal] 류소영 / 2020 / A Study on the Consumption Patterns of Overseas Tourists - Focused on the U.S.A, China, Japan / 무역금융보험연구 / 한국무역보험학회 21(2) : 153~168

[journal] Shih, H. Y. / 2006 / Network characteristics of drive tourism destinations : An application of network analysis in tourism / Tourism Management 27(5) : 1029~1039

[book] Sohn, D. W. / 2010 / Social network analysis / Kyungmoon Publishers

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Journal of Tourism Sciences 2023 KCI Impact Factor : 2.7

Examining the Connective Patterns of Tourism Destinations in Multi-Destination Travel: A Case of Deagu, South Korea

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* References for papers published after 2023 are currently being built.

Journal of Tourism Sciences 2023 KCI Impact Factor : 2.7

Examining the Connective Patterns of Tourism Destinations in Multi-Destination Travel: A Case of Deagu, South Korea

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