Analysis of spatial patterns and driving factors of provincial tourism demand in China

Ma, Xuankai; Yang, Zhaoping; Zheng, Jianhua

doi:10.1038/s41598-022-04895-8

Cited by 32 publications

(18 citation statements)

References 41 publications

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“…China has a large number of ICHs, which are composed of different cultures of different regions and nationalities [11]. According to China Intangible Cultural Heritage Network, China has 1557 national ICH representative projects by 2021 [12], attracting extensive interest from domestic and foreign tourists [13]. The Chinese government has always attached great importance to the protection of ICH.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Distribution Pattern and Tourism Utilization Potential of Intangible Cultural Heritage Resources in the Yellow River Basin

Chang

Ding

et al. 2023

Sustainability

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In this study, the spatial-temporal distribution pattern and tourism utilization potential of national ICH are analyzed based on GIS technology in the Yellow River Basin. The results show that: (1) The national ICH of the Yellow River Basin is distributed in an aggregated spatial pattern with the characteristic of “one belt and two cores”. The cities in Shanxi, Henan and Shandong provinces constitute the high-density and sub-high-density continuous belts. Haidong and Chengdu are the high-density and sub-high-density core areas, respectively. (2) The five batches of national ICH present a temporal distribution pattern of “Northeast to Southwest”. The distribution scope of national ICH in medium and high-density areas expands gradually and finally tends to be balanced. (3) For the single-factor evaluation of tourism utilization potential, there is an obvious gap in the evaluation grade among the cities. However, for the comprehensive evaluation of tourism utilization potential, there are 72 cities with an evaluation grade of three or above, accounting for 63%. This indicates that the tourism utilization potential of the national ICH in this basin is great. (4) The national ICH tourism in this basin can be developed from two aspects: regional differential development and regional linkage development.

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Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Distribution Pattern and Tourism Utilization Potential of Intangible Cultural Heritage Resources in the Yellow River Basin

Chang

Ding

et al. 2023

Sustainability

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“…In short, previous studies have emphasized the importance of a comprehensive analysis of the of RT villages’ influencing factors both social and natural. We can supplement existing research in the following ways: First, Geodetector is a useful statistical method to detect spatial differentiation and reveal the driving factors, it has been applied to analyze the influencing factors of tourism demand, tourism ecological security, and other tourism-related research [ 43 , 44 ]. Using Geodetector is a meaningful attempt at the existing method of measuring influencing factors.…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution Characteristics of the Rural Tourism Villages in the Qinghai-Tibetan Plateau and Its Influencing Factors

Han

et al. 2022

IJERPH

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The development of rural tourism (RT) has great significance in reducing poverty and achieving rural vitalization. Qinghai-Tibetan Plateau (QTP) is a depressed area with rich RT resources due to its unspoiled nature and diverse culture. For future sustainable development of RT in QTP, this paper analyzes the spatial distribution characteristics and its influencing factors of RT villages using various spatial analysis methods, such as nearest neighbor index, kernel density estimation, vector buffer analysis, and geographic detectors. The results show the following. First, the RT villages present an agglomeration distribution tendency dense in the southeast and spare in the northwest. The inter-county imbalance distribution feature is obvious and four relatively high-density zones have been formed. Second, the RT villages have significant positive spatial autocorrelation, and the area of cold spots is larger and of hot spots is smaller. Third, the RT villages are mainly distributed with favorable topographic and climate conditions, near the road and water, around the city, and close to tourism resources. Fourth, the spatial distribution is the result of multifactor interactions. Socio-economic and tourism resource are the dominant factor in the mechanism network. Fifth, based on the above conclusions this study provides scientific suggestions for the sustainable development of the RT industry.

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“…"Many scholars have carried out tourism demand forecasting through qualitative analysis, time series models, econometric models with artificial intelligence, and the accuracy of forecasting has gradually improved. However, tourism and tourists are closely correlated in terms of spatial mobility, and if spatial effects are ignored, a model estimation can be biased and produce misleading coefficient estimates" [28]. The qualitative state of transport, transport infrastructure in the country invariably affects the number of attracted travelers.…”

Section: Discussionmentioning

confidence: 99%

Tourism and transport infrastructure: an analysis of ethnic preferences

Pozdnyakova¹,

Dmitrieva²,

Kalita³

et al. 2023

E3S Web Conf.

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Despite the restrictions caused by the COVID-19 pandemic and unfavorable foreign policy factors, tourism remains attractive to the population of many countries. The desire of a person to “move” in order to see something new, to feel what representatives of other cultures feel, is natural, in line with the logic of the historical development of peoples, and should be welcomed and encouraged at all levels of the state system. The transformation of travel into a mass phenomenon (including travel for tourism purposes) is largely due to almost revolutionary changes in the transport system. In modern conditions, the traveler is more focused on the independent choice of the tour, the alternative ways and means of transportation in an unfamiliar country. This imposes an additional burden on public transport, which must be taken into account when analyzing the potential of the transport infrastructure of the host country. In the main areas of analytical work, special attention should be paid to identifying social preferences of foreign travelers in the field of transport, determining priorities when choosing a travel method. In this regard, the following are relevant: a) the motives for choosing a mode of transportation / mode of transport by a tourist; b) the relationship of ethnic preferences and expectations when choosing a transport service; c) assessment of the emotional characteristics of the choice. Consideration of these issues and some conclusions obtained as a result of experimental work are presented in this paper.

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Analysis of spatial patterns and driving factors of provincial tourism demand in China

Cited by 32 publications

References 41 publications

Spatial-Temporal Distribution Pattern and Tourism Utilization Potential of Intangible Cultural Heritage Resources in the Yellow River Basin

Spatial-Temporal Distribution Pattern and Tourism Utilization Potential of Intangible Cultural Heritage Resources in the Yellow River Basin

Spatial Distribution Characteristics of the Rural Tourism Villages in the Qinghai-Tibetan Plateau and Its Influencing Factors

Tourism and transport infrastructure: an analysis of ethnic preferences

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