Spatial distribution pattern and driving mechanism of tourist attractions in Gansu Province based on POI data

Abstract

The article utilizes POI (Point of Interest) data of tourist attractions in Gansu Province in 2021, adopts Moran’s I and kernel density analysis to study the spatial distribution pattern of tourist attractions in Gansu Province, and uses spatial autoregressive modeling to explore the driving mechanism affecting their spatial distribution pattern. The results show that: (1) Gansu Province has a large number and rich types of tourist attractions, and there are differences in the number of different types of tourist attractions; (2) The spatial distribution pattern of different types of tourist attractions in different cities and towns shows the phenomenon of both agglomeration and dispersion, with a higher degree of agglomeration in the central and northwestern regions of the province and a lower degree of agglomeration in the southwestern and southeastern corners; (3) The overall spatial distribution pattern of tourist attractions shows the distribution characteristics of multi-core decentralized distribution, forming 8 core aggregation areas in the southeast of the province; (4) The article analyzes the driving mechanism of the spatial distribution pattern of tourist attractions in Gansu Province using the buffer zone and OLS models, and the results show that the natural environment, transportation location, national policies and socio-economics all have a positive impact on the distribution of tourist attractions.

Spatiotemporal differentiation and driving mechanisms of high-level Grade A tourist attractions in the Yangtze River Delta City Cluster

“…The government plays an important role in regulating and supervising the spatial distribution of scenic spots [ 41 ]. Based on the scientific nature of indicators and data availability, combined with existing studies [ 20 , 21 , 41 , 46 ], this study analyzes the spatiotemporal evolutionary driving mechanism of high-level Grade A tourist attractions in the YRD urban agglomeration from four aspects: natural environment, resource endowment, socioeconomics, and policy context ( Table 2 ).…”

“…International scholars' research on tourist attractions began in the 1960s [6], primarily focusing on the analysis and classification [7,8], evaluation and competition [9][10][11], marketing and planning [12,13], tourists' perceptions [14][15][16], and spatial distribution of scenic spots [17][18][19][20][21][22][23][24]. The spatial distribution of tourist attractions has become a new research hotspot in recent years.…”

Research on the Vitality of Public Spaces in Tourist Villages through Social Network Analysis: A Case Study of Mochou Village in Hubei, China

“…Third is the evaluation of public space vitality. The evaluation factors includes various factors, such as the street network, functional density, diversity, and accessibility [37,38]. Some studies evaluate public space vitality based on spatial environmental amenities, including sanitation facilities, fitness and entertainment facilities, and facilities for different age groups [39,40].…”