南京市对外交通节点与酒店之间游客流动空间特征分析

利用旅游攻略数据,构建关系网络,探讨南京市对外交通节点与酒店之间游客流动这一特殊旅游流的空间特征,研究表明:1在节点方面,酒店的流入度、流出度和中心度均呈现出较为明显的圈层结构,高数值区域分布在城市中心的南北两端,外围区域数值较低,游客选择的酒店集中于夫子庙街道、健康路街道、梅园新村街道、玄武门街道;对外交通节点中,南京火车站中心度最高,铁路在南京旅游对外交通中作用突出。2在网络方面,随着流量阀值增加,整个网络的连通性不断增强,且流量分布更加均衡;核心对外交通节点与酒店集中分布街道在整个网络中起着重要的支配作用。3游客选择酒店并非集聚在对外交通节点周边,距离在酒店选择中所起作用不强,而与景点空间分布存在较强相关性。

STUDY ON THE TOURISTS FLOW AMONG EXTERNAL TRANSPORT NODES AND HOTELS IN NANJING

Tourism strategies was the text data of recording the travel itinerary of the tourists themselves, in the main travel portals all have distributed. Strategies have recorded the main travel process of tourists. It contained the spatial information which could be used for the analysis of the tourism flow, providing a good data carrier for the research on the spatial flow of tourists. Such a data carrier could analyze the spatial flow on large scale, also could analyze tourist flow on the urban internal dimensions. Not only could analyze the characteristics of the tourist flow between the scenic spots, but also could analyze the tourist flow among different types of tourism nodes in the city, could effectively solve the problem of previous studies. To this end, taking Nanjing as a case study, this paper constructed a relationship network to explore the spatial characteristics of particular tourist flow between external transport nodes and hotels with date mining of tourism strategies. This study has drawn the following conclusions:1)In terms of nodes, the indexes of hotel inflow, outflow and centrality all showed circle structure obviously. High value regions were distributed in the north and south of the city center, and low value regions were distributed in the peripheral region. 2)In the network which tourists flowed from external transport nodes to hotels, the number of the hotels, the number of paths, the dispersion coefficient, flow ratio which participated in were decreased with the increase of flow threshold, connectivity of the entire network was constantly increasing, and the flow distribution was more balanced. 3)Whether the network that tourists flowed from hotels to external transport nodes or tourists flowed from external transport nodes to hotels, the relationship between the flow and the distance showed the characteristics of the two stage distribution.