通过轨迹大数据的挖掘,揭示旅游者时空行为模式是旅游地理学的重要研究内容。本文引入时间、空间和方向相似度对基于密度的聚类算法(Density-Based Spatial Clustering of Applications with Noise,DBSCAN)进行了改进,选择典型的红色旅...通过轨迹大数据的挖掘,揭示旅游者时空行为模式是旅游地理学的重要研究内容。本文引入时间、空间和方向相似度对基于密度的聚类算法(Density-Based Spatial Clustering of Applications with Noise,DBSCAN)进行了改进,选择典型的红色旅游目的地遵义市为案例,对2010—2019年的红色旅游者轨迹进行分析。研究发现:(1)所构建的研究框架和方法能够有效提取轨迹大数据中隐含的旅游者的时空行为模式;(2)遵义市红色旅游以半日游为主,夏季是红色旅游旺季;(3)红色旅游有6类模式,分别为“红色+购物娱乐”、“红色+历史文化”、“红色+登山旅游”、“红色+生态休闲”、“红色+古镇旅游”、“红色+乡村旅游”,主要分布于遵义市的西北部、东南部和西南部,模式长度12.03~18.42 km,模式持续时长0.65~13.60 h;(4)所有模式中共提取出24条旅游线路,包括全红色旅游线路(58.33%)和混合线路(41.67%),平均长度为17.69 km,平均时长2.36 h;(5)遵义会议旧址作为核心吸引物,支撑了38.46%的线路的形成;(6)蓉遵高速、兰海高速、杭瑞高速和遵义绕城高速是红色旅游模式形成中最重要的交通依托。本文提出的方法可用于其他区域旅游行为模式和线路挖掘研究,研究结果可为遵义市红色旅游空间格局优化和线路规划提供依据。展开更多
目的:从时空行为视角对建成环境与老年人户外身体活动的时空行为特征进行研究,为促进我国老年人身体活动水平提升和应对老龄化趋势提供新思路。方法:采用全球定位系统(global position system,GPS)和三维加速度计对126名老年人时空行为...目的:从时空行为视角对建成环境与老年人户外身体活动的时空行为特征进行研究,为促进我国老年人身体活动水平提升和应对老龄化趋势提供新思路。方法:采用全球定位系统(global position system,GPS)和三维加速度计对126名老年人时空行为数据进行同步收集,通过空间算法将环境暴露数据与身体活动数据相关联,总结其出行方式、出行时间、出行频率、出行范围等特征。结果:1)老年人户外身体活动存在“点-线”型、“候鸟”型、“条链”型、“自由”型、“邻里”型、“综合”型6种时空模式;2)老年人主要户外身体活动范围为家附近500 m左右;3)老年人近45%的热量消耗和中高强度身体活动发生在户外空间,主要户外活动兴趣点为休闲娱乐、购物和运动健身;4)老年人户外身体活动特征以出行频率高和短时耗为主,出行次数对身体活动水平有显著影响,出行次数每增加1次,平均每周户外身体活动水平增加20.5 min。结论:我国老年人户外身体活动呈现出多样化的时空行为模式,未来可以将增加出行次数作为促进老年人身体活动水平的切入点。展开更多
Abnormal crowd behaviors in high density situations can pose great danger to public safety. Despite the extensive installation of closed-circuit television(CCTV) cameras, it is still difficult to achieve real-time ale...Abnormal crowd behaviors in high density situations can pose great danger to public safety. Despite the extensive installation of closed-circuit television(CCTV) cameras, it is still difficult to achieve real-time alerts and automated responses from current systems. Two major breakthroughs have been reported in this research. Firstly, a spatial-temporal texture extraction algorithm is developed. This algorithm is able to effectively extract video textures with abundant crowd motion details. It is through adopting Gaborfiltered textures with the highest information entropy values. Secondly, a novel scheme for defining crowd motion patterns(signatures)is devised to identify abnormal behaviors in the crowd by employing an enhanced gray level co-occurrence matrix model. In the experiments, various classic classifiers are utilized to benchmark the performance of the proposed method. The results obtained exhibit detection and accuracy rates which are, overall, superior to other techniques.展开更多
文摘目的:从时空行为视角对建成环境与老年人户外身体活动的时空行为特征进行研究,为促进我国老年人身体活动水平提升和应对老龄化趋势提供新思路。方法:采用全球定位系统(global position system,GPS)和三维加速度计对126名老年人时空行为数据进行同步收集,通过空间算法将环境暴露数据与身体活动数据相关联,总结其出行方式、出行时间、出行频率、出行范围等特征。结果:1)老年人户外身体活动存在“点-线”型、“候鸟”型、“条链”型、“自由”型、“邻里”型、“综合”型6种时空模式;2)老年人主要户外身体活动范围为家附近500 m左右;3)老年人近45%的热量消耗和中高强度身体活动发生在户外空间,主要户外活动兴趣点为休闲娱乐、购物和运动健身;4)老年人户外身体活动特征以出行频率高和短时耗为主,出行次数对身体活动水平有显著影响,出行次数每增加1次,平均每周户外身体活动水平增加20.5 min。结论:我国老年人户外身体活动呈现出多样化的时空行为模式,未来可以将增加出行次数作为促进老年人身体活动水平的切入点。
基金funded by Chinese National Natural Science Foundation (No. 61671377)Shaanxi Smart City Technology Project of Xianyang (No. 2017k01-25-5)
文摘Abnormal crowd behaviors in high density situations can pose great danger to public safety. Despite the extensive installation of closed-circuit television(CCTV) cameras, it is still difficult to achieve real-time alerts and automated responses from current systems. Two major breakthroughs have been reported in this research. Firstly, a spatial-temporal texture extraction algorithm is developed. This algorithm is able to effectively extract video textures with abundant crowd motion details. It is through adopting Gaborfiltered textures with the highest information entropy values. Secondly, a novel scheme for defining crowd motion patterns(signatures)is devised to identify abnormal behaviors in the crowd by employing an enhanced gray level co-occurrence matrix model. In the experiments, various classic classifiers are utilized to benchmark the performance of the proposed method. The results obtained exhibit detection and accuracy rates which are, overall, superior to other techniques.
