Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow

Wang, Yuewei; Hang, Chen; Wu, Xinyang

doi:10.3390/su132112036

Cited by 19 publications

(24 citation statements)

References 47 publications

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“…The analysis of tourism cooperation in this study shows that the interpretation of individualism, essentialism, and atomism has shifted to a better understanding of relations, backgrounds, and systems [16]. Previously, scholars have examined the preconditions and policy framework of tourism cooperation in some specific regions [1,4,7,9,42], but there are few in-depth studies on tourism cooperation among cities in the Yangtze River Delta region of China. The present study intends to help fill this research gap by analyzing tourism cooperation from a supply and demand perspective through network analysis of official news released by the Chinese government and quotations for tour routes published by travel agencies.…”

Section: Conclusion and Discussionmentioning

confidence: 88%

“…Theoretical implications. The theoretical contributions of this study are as follows: first, although the study of tourism cooperation network is very important, little attention has been paid to the understanding of destination cooperation network from the perspective of tourist demand [42]. This study explores the characteristics of tourism cooperation network structure among 26 cities in the Yangtze River Delta from the demand and supply sides, thus providing new knowledge.…”

Section: Discussionmentioning

confidence: 99%

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A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

Wang

Hang

et al. 2022

PLoS ONE

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This study explores the spatial structure of regional tourism cooperation networks among 27 cities in the Yangtze River Delta from the perspective of supply and demand. Data from the supply network were collected from official news released by the Chinese government and quotations for tour routes published by travel agencies. Travel notes published on tourists’ blog community platforms about their travel experiences were used as source data for the demand network. The degree of cooperation between the cities was analyzed based on the frequency of occurrence and co-occurrence of information on tourist attractions or cities in the Yangtze River Delta region in tourist notes, tourist route quotes, and official news. This study divides 27 cities in the Yangtze River Delta region into three categories: those where supply matches demand (e.g., Shanghai and Nanjing), nine cities where there is a demand lag (e.g., Zhenjiang), and 16 cities where there is a supply lag (e.g., Wuxi). Investigating the differences between the supply and demand networks is helpful to understand the effectiveness of regional tourism cooperation mechanisms and government policies, which is crucial for the sustainability and good governance of regional tourism.

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Section: Conclusion and Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

Wang

Hang

et al. 2022

PLoS ONE

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“…Some of the studies on transit issues focus on freight transport infrastructure and its development [5,6] and logistics [7], while others focus on cost implications [8][9][10][11], environmental issues [12] and geopolitical aspects [13,14]. Researchers are much more interested in exploring the specificities of traffic flowing through large cities [15][16][17] than that between national borders.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

(In)Visible Tourism According to Online Cash Registers in Hungary, 2018–2020

Tóth

Kincses

2022

Sustainability

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The aim of this paper is to share innovations and some key lessons learned in the use of non-traditional data sources to improve data quality and enable more accurate and efficient data use in the field of tourism. Research on visitor traffic is based on classical statistical measures, but it may be worth expanding it with alternative data sources, such as databases based on online cash register (OCR) data. These data can be particularly useful for analysing tourism-related consumption habits in a given area. The study introduces the “invisible”, tourism-related, non-accommodation spending characteristics of transit traffic in Hungary, the possibilities of its analysis and spatial aspects, using online cash register data (includes all retail sales in Hungary, except for motorcycle purchases), and additionally, we identify the most affected municipalities which are invisible for traditional data sources. The results show that invisible tourism, linked to transit traffic, has significant economic potential. The analysis of this new type of database will provide a more accurate and faster picture of consumption associated with hidden tourism, which can be an important input for economic and marketing development.

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“…This model focuses on the flow characteristics of tourists among destinations of different levels and scales, and the study of the multi-destination interaction model contains the idea of tourism flow network [2]. Scholars have carried out research on different types of tourism flows, which help in understanding the behavior of tourism flows, reveal its laws, explore its spatial impact, and optimize the spatial structure of tourist destinations [3][4][5]. Leiper (1979) regarded the five elements of the tourism system as: tourists, a tourism industry, origin regions, transit routes, and destination regions [6].…”

Section: Introductionmentioning

confidence: 99%

“…Shao et al (2020) applied SNA to discuss the structural characteristics and evolution rules of international tourism flow networks, as well as the roles and functions of various destinations in international tourism flow networks [13]. Wang et al (2021) believe that the spatial movement of tourists from source to destination, and between destinations, contributes to a regional tourism cooperation network, and they used SNA to analyze the structure of tourism scenic spot cooperation networks [3]. Further, Wang et al (2022) made a comparative analysis of tourism cooperation networks by using SNA from the perspective of both supply and demand [8].…”

Section: Introductionmentioning

confidence: 99%

Evolution and Driving Mechanism of Tourism Flow Networks in the Yangtze River Delta Urban Agglomeration Based on Social Network Analysis and Geographic Information System: A Double-Network Perspective

Wang

Chen

et al. 2022

Sustainability

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This study’s purpose was to analyze the network structural characteristics, nodal roles, spatial structure, and evolution laws from the dual network perspective, and apply the Quadratic Assignment Procedure (QAP) to conduct correlation analysis and regression analysis on the influencing factors of tourism flow networks in the Yangtze River Delta urban agglomerations. Using a mixed-method of social network and spatial analysis, Ucinet and ArcGIS software were used to comprehensively analyze the nodes in the travel routes covered in travel notes. The results show that the density of tourism flow network increases on the whole, while the spatial difference decreases, and the overall network density value is much lower than the average of the network density of provinces. Degree centrality, closeness centrality, betweenness centrality and the core–periphery structure analysis were used to examine the tourism function, distribution function, connection function and the position of nodes in the network, and nodes were divided into various types of roles according to their function. Meanwhile, the role changes of each node in different periods were also investigated. This study also builds an evaluation model of the influencing factors of the evolution of tourism flow network structure and uses QAP to find that the tourism network is affected by factors such as tourism resource endowment, transportation convenience, economic development level, tourism reception and service capacity. The research results are helpful for the Chinese government and tourism enterprises to understand the spatial behavior of tourists and its evolution rules, and to clarify the role and status of node cities in the tourism flow network and their influencing factors. It is of great significance for the formulation of joint marketing measures and promotion of the sustainable development of tourism in the Yangtze River Delta urban agglomeration.

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Spatial Structure Characteristics of Tourist Attraction Cooperation Networks in the Yangtze River Delta Based on Tourism Flow

Cited by 19 publications

References 47 publications

A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

A social network analysis of tourism cooperation in the Yangtze River Delta: A supply and demand perspective

(In)Visible Tourism According to Online Cash Registers in Hungary, 2018–2020

Evolution and Driving Mechanism of Tourism Flow Networks in the Yangtze River Delta Urban Agglomeration Based on Social Network Analysis and Geographic Information System: A Double-Network Perspective

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