Spatio-Temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Western Hunan

With the progression of novel urbanization, rural regions are increasingly characterized by mixed-use features, where work and living activities intersect, resulting in a significant surge in per capita carbon emissions. This research article aims to elucidate the spatio-temporal relationship of carbon emissions in rural areas and their association with mixed-use intensity from a sustainable development perspective. For the study, we selected four of the most representative mixed-use village types in the Yangtze River Delta region. Using the STING method, each rural space was delineated into micro-level mixed-use units. Subsequently, a quantitative evaluation model was constructed to gauge the relationship between mixed-use intensity and carbon emissions. This was complemented by employing GIS simulations to analyze the spatio-temporal attributes of carbon emissions in mixed-use villages. Our findings indicate that (1) different types of villages display considerable disparities in mixed-use intensity and carbon emissions. Their correlation also varies significantly, with traditional agricultural villages exhibiting the lowest values of 0.338 and 0.356, while E-commerce-centric villages recorded the highest at 0.674 and 0.653. (2) The carbon emissions of rural units manifest diverse patterns that include dispersed distribution, core aggregation, linear decay, and dissipative fragmentation. These correspond to traditional agriculture, industrial production, tourism service, and E-commerce villages, respectively. (3) The carbon emissions of mixed-use villages exhibit cyclical fluctuations over time, with different magnitudes observed across villages. Traditional agricultural villages display the smallest fluctuations (within 30%), while those centered around tourism services can experience fluctuations exceeding 150%. Building on these insights, we delved deep into the challenges faced by each village type in enhancing the quality of work and living while concurrently achieving energy conservation and emission reduction. Based on these aspects, we propose a sustainable low-carbon development pathway tailored for mixed-use villages.

Section: Interpretation Of Findingsmentioning

confidence: 99%

Spatial–Temporal Characteristics of Carbon Emissions in Mixed-Use Villages: A Sustainable Development Study of the Yangtze River Delta, China

Wu,

Sun,

Zhou

et al. 2023

“…Scholars studying the spatial correlation of tourism development have used social network analysis, modified gravity models, and data envelopment analysis. They found that the tourism industry has gradually formed a hierarchical and spatially optimized overall network correlation structure over the course of its development [5], in addition to the double-core and multipoint structure [6], core edge structure [7], multithreading and densification [8], central urban clustering and peripheral diffusion [9,10] and other local network structures. In addition, factors such as economies of scale, tourism costs [11], and transportation systems [12][13][14] affect the spatial correlation structure of tourism development.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This study takes 16 regions of Beijing as the research samples, which is different from the national [5,10], urban agglomeration [12,14] and provincial [6] research samples commonly used by scholars before, and is more microscopic. As an important part of urban agglomerations, provincial units and the nation, cities are an important carrier of China's urbanization development.…”

Section: Spatial Form Of Tourism Development At the Micro Scalementioning

confidence: 99%

The Spatial Spillover Effect and Its Impact on Tourism Development in a Megacity in China

Cao

Liu

2022

By utilizing the tourism development data of Beijing for the period from 2010 to 2019, this study examined the spatial pattern distribution of tourism development in Beijing using the coefficient of variation and Moran’s I index. In addition, the geographic detector method was employed to explore the impact of tourism resource investment, tourism reception facilities, and urban development level on the spatial pattern of tourism development. The results indicate that the spatial differences in tourism development in various Beijing districts are gradually expanding, mainly focusing on the differences between urban function expansion regions. The number of tourists shows a spatial distribution pattern including a core area, urban function expansion area, ecological conservation area, and new urban development area. The spatial correlation of tourism development increases gradually, and some parts show the spatial correlation form of low–high aggregation. Tourism resource investment, tourism reception facilities, and urban development level all play a significant role in promoting the spatial pattern of tourism development, among which the most obvious role is the interactive effect of tourism reception facilities, star-rated hotels, and openness. Therefore, to improve the development of Beijing’s tourism industry, the government needs to pay attention to the differences in the expansion of urban functions, the degree of contact between regions, the number of tourism reception facilities, and the level of regional openness. The significance of this research is in promoting spatial governance, coordinated development among regions, and the high-quality development of tourism in Beijing, and laying down a foundation for the introduction of spatial collaborative governance policies in other megacities in China.

“…Their formation is a testament to a bottom-up confluence of factors, thereby highlighting their profound historical, valuable, national, and rural characteristics [6][7][8]. With the introduction of the rural revitalisation strategy, rural tourism has therefore flourished, and traditional villages have become popular tourist destinations due to their rich cultural landscape resources and natural landscape scenery, providing opportunities for the sustainable development and transformation of traditional villages [9,10]. Meanwhile, sustainable tourism development is pivotal for the revitalisation of traditional villages, serving as a key component in their ongoing transformation and growth.…”

Section: Introductionmentioning

confidence: 99%

Delineating Landscape Features Perception in Tourism-Based Traditional Villages: A Case Study of Xijiang Thousand Households Miao Village, Guizhou

Wang,

Zhou,

Man

et al. 2024

This study is a feature perception study of traditional village landscapes, refines the research method of traditional village landscape features using tourists online comment data, combs the landscape perception features of Xijiang Thousand Households Miao Village from tourists perspectives, digs out the managers’ problems in landscape planning, protection, utilisation, and puts forward the corresponding improvement strategies. In this paper, the Octopus data collector was used to collect online evaluation data from nine target platforms, and ROST CM6 was used to analyse the data for word frequency analysis, semantic network analysis, and sentiment analysis. Finally, using Nvivo12, the data was coded and a multidimensional model of landscape perception was constructed: natural landscapes, cultural and social landscapes, perceived landscapes, seasonal landscapes, and services and infrastructures. The results show that in the landscape perception model, the cultural and social landscape modules are the core factors affecting tourists’ psychological perceptions, with most tourists holding positive emotions towards the scenic spots and a few negative emotions mainly focusing on the relatively weak natural landscape, the unsatisfactory road system and charging system, and the over-commercialised development. In response to these problems, this study proposes corresponding planning recommendations. The results of the study reflect the trend of deep integration of culture and tourism in traditional villages in China, respond to the policy guidance of China’s rural revitalisation policy, and provide useful references and insights for the landscape construction and development of the Xijiang Thousand Households Miao Village and even similar tourist-oriented traditional villages.