基于GPS数据的旅游时空行为评价研究
发布时间：2018-10-09 07:14
【摘要】：目前,采用GPS追踪技术获取旅游者时空行为轨迹数据的技术已经开始应用于旅游行为研究中,但是对基于GPS数据的旅游时空行为的分析仍然停留在描述分析和模式聚类阶段。如何深入挖掘空间尺度上精确至米、时间尺度上精确到秒的GPS数据,文章尝试运用Arc GIS技术在对GPS轨迹点实现时空路径三维可视化的基础上,进一步提炼出路径长度、游览时间、游览速度、覆盖面积和椭圆周长5项量化评价指标,并提出了具体的计算方法,在计算5项量化指标的基础上采用因子分析的方法探索基于GPS数据的旅游时空行为评价因子。以香港海洋公园旅游者时空行为GPS追踪数据的分析为案例,将旅游时空行为评价因子提取为空间-时间因子、节奏-消费因子和情感-经验因子3个评价因子。由此,提出了一种基于GPS数据的旅游时空行为评价方法,为GPS数据的挖掘和利用提供研究基础。从旅游供给的角度来说,为基于旅游者时空行为分析的产品提升和精细化管理提供指导,比如通过延长旅游者的游览时间、延长游览路径、扩大游览面积、降低游览速度、增加旅游消费、增加旅游经验和增强情感体验等措施,均能有效地增加旅游体验的数量和质量。
[Abstract]:At present, the technology of using GPS tracking technology to obtain the track data of tourists' space-time behavior has been applied to the study of tourism behavior, but the analysis of tourism space-time behavior based on GPS data is still in the stage of description analysis and pattern clustering. In this paper, we try to extract the path length by using Arc GIS technology on the basis of 3D visualization of GPS locus, how to excavate the GPS data with precision to meter in space scale and to be accurate to seconds in time scale, in this paper, we try to use Arc GIS technology to realize 3D visualization of space and time path on GPS locus. Five quantitative evaluation indexes, such as tour time, tour speed, coverage area and ellipse perimeter, are presented, and the specific calculation methods are proposed. On the basis of calculating five quantitative indexes, the factor analysis method is used to explore the evaluation factors of tourism space-time behavior based on GPS data. Based on the GPS tracking data of tourists' spatial and temporal behavior in Hong Kong Ocean Park, the evaluation factors of tourism space-time behavior were extracted as space-time factors, rhythm-consumption factors and affective and experiential factors. Therefore, a method of tourism spatio-temporal behavior evaluation based on GPS data is proposed, which provides a research basis for the mining and utilization of GPS data. From the perspective of tourism supply, it provides guidance for product upgrading and meticulous management based on the analysis of tourists' space-time behavior, for example, by extending the tourist's tour time, extending the tour path, expanding the area of sightseeing, and reducing the speed of sightseeing. Measures such as increasing tourism consumption, increasing tourism experience and enhancing emotional experience can effectively increase the quantity and quality of tourism experience.
【作者单位】： 山东大学管理学院;南京师范大学虚拟环境教育部重点实验室;广东金融学院休闲产业与高端服务业研究中心;
【基金】：国家自然科学基金项目“基于旅游者时空行为规律的旅游时间规划方法研究”(41301142) 广东省创新强校工程项目“城市社区户外公共休闲空间剥夺对居民休闲生活指数的效应研究”(2015WTSCXO74)资助~~
【分类号】：F592
本文编号：2258440
[Abstract]:At present, the technology of using GPS tracking technology to obtain the track data of tourists' space-time behavior has been applied to the study of tourism behavior, but the analysis of tourism space-time behavior based on GPS data is still in the stage of description analysis and pattern clustering. In this paper, we try to extract the path length by using Arc GIS technology on the basis of 3D visualization of GPS locus, how to excavate the GPS data with precision to meter in space scale and to be accurate to seconds in time scale, in this paper, we try to use Arc GIS technology to realize 3D visualization of space and time path on GPS locus. Five quantitative evaluation indexes, such as tour time, tour speed, coverage area and ellipse perimeter, are presented, and the specific calculation methods are proposed. On the basis of calculating five quantitative indexes, the factor analysis method is used to explore the evaluation factors of tourism space-time behavior based on GPS data. Based on the GPS tracking data of tourists' spatial and temporal behavior in Hong Kong Ocean Park, the evaluation factors of tourism space-time behavior were extracted as space-time factors, rhythm-consumption factors and affective and experiential factors. Therefore, a method of tourism spatio-temporal behavior evaluation based on GPS data is proposed, which provides a research basis for the mining and utilization of GPS data. From the perspective of tourism supply, it provides guidance for product upgrading and meticulous management based on the analysis of tourists' space-time behavior, for example, by extending the tourist's tour time, extending the tour path, expanding the area of sightseeing, and reducing the speed of sightseeing. Measures such as increasing tourism consumption, increasing tourism experience and enhancing emotional experience can effectively increase the quantity and quality of tourism experience.
【作者单位】： 山东大学管理学院;南京师范大学虚拟环境教育部重点实验室;广东金融学院休闲产业与高端服务业研究中心;
【基金】：国家自然科学基金项目“基于旅游者时空行为规律的旅游时间规划方法研究”(41301142) 广东省创新强校工程项目“城市社区户外公共休闲空间剥夺对居民休闲生活指数的效应研究”(2015WTSCXO74)资助~~
【分类号】：F592
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