# Spatial Distribution Pattern and Influencing Factors of Homestays in Chongqing, China
## 3 Results
### Spatial Differentiation of Influencing Factors  
In order to more intuitively characterize the spatial heterogeneity of the role of various factors on land urbanization, the significance characteristics and action intensities of the variables in the two regions were integrated, and the indicators, such as population urbanization rate, per capita regional GDP, service industry development, road network density, and topographic conditions, were selected to describe the spatial patterns of the role of tourism resource endowment, economic development, service industry development, transportation location, consumption demand, and social development conditions on the layout of homestays in Chongqing (Figures 5 and 6). Figure 5: Spatial distribution of GWR model coefficients in the central urban area of Chongqing. Note: Based on the standard map (scale: 1:48 million) with the approval number of GS (2019) 1823 on the standard map service website, the base map was not modified. From the influencing factors of the spatial distribution of homestays in the central urban area, at the level of tourism resource endowment, the influence of the number of class A scenic spots on the homestay layout gradually weakened from the Northwest to the Southeast directions within the central urban area, among which Beibei District and Shapingba District had the strongest influence, followed by Yuzhong District, Yubei District, and Jiulongpo District. From the perspective of the economic development level, the GDP level had an obvious positive impact on the distribution of homestays in the central urban area, and the influence gradually weakened from the center to the surrounding areas. In particular, the distribution of homestays in Yuzhong District, Jiangbei District, Yubei District, and Jiulongpo District was strongly affected by GDP. From the perspective of the development level of the service industry, the positive impact of the output value of the tertiary industry on the distribution of homestays was the strongest in Jiulongpo District, Shapingba District, and Yubei District, and then gradually weakened towards the Northwest and Southeast. From the perspective of the consumption demand level, the per capita living consumption expenditure index of all residents had a positive impact  
Figure 6: Spatial distribution of GWR model coefficients in non-central urban areas of Chongqing. Note: Based on the standard map (scale: 1:48 million) with the approval number of GS (2019) 1823 on the standard map service website, the base map was not modified. on the overall spatial distribution of homestays, and the intensity of the effect gradually decreased from Shapingba District, Yuzhong District, and Nan'an District in the middle to the North-South direction. From the perspective of traffic location conditions, the influence intensity of the subway station density index on the distribution of homestays in the central urban area decreased from the middle to the North and South. From the perspective of social development conditions, the impact intensity of the index number of colleges and universities on the distribution of homestays in the central urban area presented scattered spatial characteristics, and the overall impact was positive. In terms of the influencing factors of the spatial distribution of homestays outside the central urban area, at the level of physical and geographical conditions, the average altitude played a negative role in the spatial distribution of homestays, and the influence of the average altitude on the layout of homestays decreased step by step from the Southwest to Northeast. The quality of the ecological environment is a necessary condition for the development of the tourism industry. The forest-coverage and air-quality rates had a positive impact on the spatial distribution of the homestays; their influence showed the spatial layout gradually decreasing from East to West, forming a banded distribution from East to West.