摘要
文章以深圳市大梅沙海滨公园为实例,利用现代大数据技术智能分析景区周边交通指数及区域客流饱和度情况,研究公交调度及游客管理的应对策略,以提升景区服务水平,增强游客旅游舒适度,进一步推动深圳市智能旅游的可持续发展。
Taking Shenzhen Dameisha Waterfront Park as an example, this paper uses modern big data technology to analyze the traffic index around the scenic area and the saturation of passenger flow in the area, and studies the coping strategies of bus dispatching and tourist management to improve the service level of tourist attractions and enhance the tourist comfort of tourists. This will further promote the sustainable development of smart tourism in Shenzhen.
出处
《智能城市》
2018年第11期1-3,共3页
Intelligent City
关键词
交通运行指数
客流饱和度
智能交通出行指引
智能交通对策
智能旅游
traffic operation Index
passenger flow saturation
intelligent transportation travel guide
intelligent traffic strategy
smart tourism
