Correlation Study between Spatial Distribution of Tourism Elements and Transportation Accessibility in Historic Districts of Guangzhou City
This paper uses the space syntax and the big data spatial analysis to explore the accessibility of historic districts and the distribution characteristics of tourism elements in Guangzhou's historic districts,it conducts the bivariate correlation analysis between them.Meanwhile,it uses the grid method to analyze the accessibility,the kernel density 1and the mixing degree of tourism elements in historic districts,and reveals the relationship between the distribution of tourism factors and the transportation accessibility in historic districts.The results show that:1)The overall integration degree of the roads in the historic districts of Guangzhou is relatively high,showing the characteristics of"high in the middle and low around the periphery",and the local accessibility of the roads shows the distribution characteristics of"multi-core".2)The distribution of tourism elements in historic districts presents the characteristics of"multi-core network"distribution,and different tourism elements present different distribution characteristics.3)There is a positive correlation between the road integration degree of all scales and the number distribution of tourism elements in historic districts.Among them,catering and accommodation both have the highest correlation with transportation accessibility,followed by the commercial shopping and the sport-leisure,and finally the scenic parks.4)The mix degree of tourism elements in historic districts is generally high,showing the distribution characteristics of"high in the middle and low in the surrounding areas",and the distribution characteristics of multi-core distribution in the central region with high mixing degree are positively correlated with the core density in historic districts.5)Streets in historic districts have a high matching degree between the mixing degree of tourism elements and transportation accessibility,while other streets do not match.
historic districtstransportation accessibilitytourism elementsmixing degree of POIcateringaccommodationclassification development
万方数据
维普
