Abstract
The development of tourism is based on tourism flow and studying a tourism flow network can help to elucidate its mechanism of operation. Transportation network is the path to realize the spatial displacement of tourism flow. This study used “Tencent migration” big data to explore the spatial distribution characteristics and rules of tourism flow in China, providing suggestions for the development of tourism. The results demonstrate that the 361 cities studied can be divided into three types: destination-oriented, tourist-origin-oriented, and destination-oriented and tourist-origin-oriented. There are significant differences in the quantity of flow, the area of concentration, and the factors affecting the flow in the three types of cities. The larger the flow of tourism between cities, the higher the network level, and the wider the network range. The high-level nodes are closely related, while the peripheral nodes are more widely distributed, with weak attractiveness and inconvenient traffic, forming a “core-edge” structure. Different network patterns are established for different modes of transportation. The degree of response of different types of transportation to distance is the main factor influencing the network patterns of diverse paths. These findings have practical implications for the choice of appropriate travel destinations and transportation modes for tourists.
Highlights
Study on Tourism Flow NetworkSince the National Day in 1999, holiday tourism has become a unique phenomenon inChina’s economic and social life [1,2,3], which is based on the exclusion of the impact of some crisis events on tourism According to the National TourismAdministration, the May Day holiday in 2018 saw 147 million domestic tourists, generatingCNY 87.16 billion in domestic tourism income
Flow potential refers to the diffusion trends and potential of tourism flows, which
Flow potential refers to the diffusion trends and potential of tourism flows, which are are often influenced by many factors, such as resource conditions, tourism behavior prefoften influenced by many factors, such as resource conditions, tourism behavior preferences, erences, etc., and have usually have the characteristics of “tending higherhigher”
Summary
Study on Tourism Flow NetworkSince the National Day in 1999, holiday tourism has become a unique phenomenon inChina’s economic and social life [1,2,3], which is based on the exclusion of the impact of some crisis events on tourism (the COVID-19 event [4], etc.) According to the National TourismAdministration, the May Day holiday in 2018 saw 147 million domestic tourists, generatingCNY 87.16 billion in domestic tourism income. Since the National Day in 1999, holiday tourism has become a unique phenomenon in. Administration, the May Day holiday in 2018 saw 147 million domestic tourists, generating. CNY 87.16 billion in domestic tourism income. The promotion of tourism and statutory holidays have long fueled the passion of people for tourism, causing “overtourism” in many destinations [5]. Tourism can lead to phenomena of imbalance and an ineffective configuration of the market, and produce a series of problems, such as heavy traffic, scenic overload, issues with accommodation, declining quality of services, an increase in potential safety hazards [6]. How to effectively regulate holiday tourism to promote sustainable development and prevent significant negative impacts is a crucial issue that warrants the attention of national and local governments
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