Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data

Abstract

Leisure and tourism spaces are shared by both residents and tourists seeking a higher quality of life. Most of the literature focuses only on the study of a particular type of leisure or tourism space in cities and lacks an overall exploration of the distribution patterns of urban leisure and tourism formats. Based on the leisure and tourism point of interest (POI) data of 11 districts in Xi’an, this paper uses geospatial analysis to examine the spatial patterns of leisure and tourism facilities and their influencing factors in Xi’an. It is found in this study that the distributions overall and the various types of leisure and tourism spaces in Xi’an show the characteristics of central urban agglomeration and sparse dispersion in the surrounding urban areas. Different types of leisure and tourism patterns have obvious spatial scale dependence, but there are differences in the scope of spatial selection. In general, the core agglomeration area has limited radiation and driving effects on the peripheral areas, and there is a prominent phenomenon of imbalance in the distribution of leisure and tourism facilities following a single industrial structure. The formation of the spatial patterns of leisure and tourism is the result of a combination of dominant factors, driving factors, safeguarding factors, and other triggering factors. Urban leisure and tourism spaces are intertwined, and the spatial balance and industrial diversification of leisure and tourism can be promoted through scientific spatial planning. This study aims to provide services for urban land planning and policy-making by revealing the spatial distribution principles of leisure and tourism sites in tourist cities as represented by Xi’an.

Evaluation and Spatiotemporal Differentiation of Cultural Tourism Development Potential: The Case of the Middle and Lower Reaches of the Yellow River

“…The CTDP in most cities is highly dependent on the region and greatly influenced by other cities in the research area. This is consistent with the spatially correlated characteristics of leisure and tourism facilities in Xi'an [72]. From the perspective of spatial correlation and spatial interaction, except for Xi'an and Qingdao, which have weak correlation with the CTDP in the surrounding cities, other cities have significant spatial correlation with the surrounding cities, which indicates that the development of urban cultural tourism has strong short-range regional dependence.…”

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

“…where NNI represents the nearest neighbor index, 𝑟 represents the average value of the Euclidean distance 𝑟 between the nearest neighbors, 𝑟 represents the theoretical nearest neighbor distance, n represents the number of industrial heritage sites, and A represents the study area. If NNI > 1, CIL sites tended to be evenly distributed; if NNI = 1, the sites were randomly distributed; and if NNI < 1, there tended to be an agglomerative distribution [54].…”

“…In this research, the NNI was utilized to characterize the spatial pattern of CIL. The formula is as follows [54]:…”

Research on Temporal and Spatial Distribution Pattern of the Night-Time Economy Supported by Multi-Source Data—A Case Study of Xiamen City, Fujian Province, China

“…Points of interest (POI) are widely used for studying the spatial distribution of various facilities due to their accurate geographical location and abundant types [24]. But day and night are different [9].…”