采用出行时空耦合的厦门岛城市旅游服务设施布局

以福建省厦门市厦门岛为研究区域,提取旅游服务设施的兴趣点(POI)数据,采用核密度估计法,分析厦门岛不同旅游服务设施空间布局.由于旅游住宿与旅游景区的空间布局较为吻合,研究选取旅游日(2019年5月1-4日)和工作日(2019年3月11-15日)的浮动车数据,通过缓冲区分析选取旅游住宿影响范围内的浮动车出发地-目的地(OD)数据,并进一步构建旅游住宿与游客出行时空的耦合度模型.结果表明:旅游服务设施(除交通枢纽外)在空间上表现为沿景区集聚;旅游住宿与餐饮的空间布局与旅游景区的布局基本吻合,购物中心、文化娱乐与交通枢纽的空间布局与旅游景区的布局存在差异;旅游日相比工作日耦合度的分布区域范围较广,耦合性较好的区域在旅游日主要集中在重要的交通枢纽及主要景区,部分景区可能存在旅游住宿供大于需的现象.

Layout of Urban Tourism Infrastructure in Xiamen Island Using Travel Spatio-Temporal Coupling

Taking Xiamen Island Xiamen City Fujian Province as the research area, the points of interest(POI)data of tourism service facilities were extracted, using the kernel density estimation method, the spatial layout of different tourism service facilities in Xiamen Island was analyzed. Since the spatial layout of tourism accommodation and scenic spots is relatively consistent, the floating car data were studied on holiday(May 1-4, 2019)and weekdays(March 11-15, 2019), through the buffer analysis, the origin-destination(OD)data within the scope of tourism accommodation were selected, a model of coupling degree between tourism accommodation and tourists’ travel time and space was built. The results show that: tourism service facilities(exc-ept transportation hub)are clustered along the scenic spot, the spatial layout of tourism accommodation and catering is basically consistent with the layout of scenic spots. The spatial layout of shopping center, cultural entertainment and transportation hub is different from the layout of scenic spots; the distribution range of coupling degree of holiday is wider than that of weekdays, and the areas with benign coupling in holiday are mainly concentrated in important transportation hubs and main scenic spots, and the supply of tourism accommodation may exceed the demand in some scenic spots.