Uncovering the factors influencing the vitality of traditional villages using POI (point of interest) data: a study of 148 villages in Lishui, China

Abstract

Improving vitality has been a major bottleneck in the revitalization of traditional village heritage worldwide. The vitality of traditional village (VTV) varies greatly depending on socioeconomic factors and natural conditions. Significant spatial variation exists in VTV, even within the same urban jurisdictions in China; however, the main determinants for this have not yet been quantified owing to the difficulty of obtaining data from large rural samples, making targeted invigoration difficult. Thus, we applied point of interest data, which are easily accessible big data, to bridge the data source gap. To assess the VTV’s influencing factors and analyze the spatial variations among the factors’ impacting intensity, we used the Ordinary Least Squares and Geographically Weighted Regression models and conducted empirical studies involving 148 traditional villages in Lishui, China. Seven factors influenced the vitality of traditional villages in the study area, with the most significant being topographic relief, elevation, scenic spots and commercial industry. Moreover, the factors’ impacting intensity varied by region. Topographic relief and elevation had the greatest impact intensity in the north and south of Lishui, whereas primary education, transportation facility and agricultural bases had the greatest impact in the north, and scenic spots and commercial industry had the greatest impact in the middle of Lishui. Taken together, this method makes a large sample of VTV’s impact factor analysis feasible, has global implications, and can provide a foundation for the scientific and precise regional promotion of VTV, which is beneficial for rural heritage revitalization.

Multidimensional Evaluation of Traditional Villages in Jiangnan Region, China: Spatial Pattern, Accessibility and Driving Factors

“…On the one hand, villages with well-developed road networks (P r : 474.98~1187.26) and high accessibility, such as Sandongqiao Village (K = 1.00), Shazhang Village (K = 0.99), and Yangqiao Village (K = 0.98) (Figure 6), can significantly benefit from developing cultural tourism as a strategic approach to promote the integrated development of "culture, tourism, and agriculture" [51]. Excellent transportation conditions serve as a basis for implementation in these villages.…”

Spatio-Temporal distribution characteristics and driving factors of traditional villages in the Yellow River Basin

“…These studies summarize historical experiences in settlement protection and combine them with rural development and protection, and preservation of native architecture and landscapes, aiming to find new feasible approaches for the preservation and development of traditional settlements. Regarding content, research on TVs mainly focuses on spatial distribution characteristics and their influencing factors [11][12][13][14][15][16], attempting to reveal the spatial aggregation characteristics and driving factors of TVs through a series of spatial analyses [17][18][19][20][21], thereby promoting village protection and integrated urban-rural development. In order to further promote the sustainable development of TVs, some scholars have conducted appropriate technical evaluations of them, studying the spatial distribution of cultural heritage through digital technology, aiming to comprehensively support the revitalization of ancient villages [22,23].…”