...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computers，environment and urban systems >Tracking urban geo-topics based on dynamic topic model
【24h】

Tracking urban geo-topics based on dynamic topic model

机译：基于动态主题模型跟踪城市地质主题

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Modern cities are facing critical environmental and social problems that are difficult to solve using conventional planning approaches due to the cities' magnitude and complexity. Recent developments in sensing technologies and urban computing, however, integrate new data resources and technologies to tackle these challenges. Popular social networking platforms such as Twitter provide new data sources on important events (e.g., cultural activities, political campaigns, accidents, crises) providing rich knowledge about urban systems and human dynamics. This research is intended to develop a method for effectively monitoring important information during such events and helping with planning and policymaking. We use semantically similar and geographically close geo-topics to represent important local events. This research proposes a data-driven system for detecting and tracking the semantic, spatial, and temporal dynamics of these geo-topics, specifically designed for geotagged tweets. The system consists of data preprocessing, geo-topic generation, and geo-topic tracking modules. The preprocessing module can remove robotic and semantically trivial texts. In the geo-topic generation module, we use spatial factors to measure the spatial impacts of geo-tagged tweets by applying an exponential decay function to the pairwise distances between tweets. We then improve the dynamic topic model (DTM) by embedding the spatial factors to enable the generation of geo-topics in semantic, spatial, and temporal dimensions simultaneously. The geo-topic tracking module monitors semantic change by detecting changes in certain keywords' probabilities and the volumes of tweets belonging to different geo-topics. This module also uses radius of gyration and trajectory-pattern mining to track and analyze the movement patterns of geo-topics. We employed the tracking system in three disaster cases in different U.S. cities to track small-scale emergencies and crises. These implementations demonstrated the effectiveness of the system for identifying and tracking geotopics at fine temporal and geographic scales. The system also has strong potential in creating planning-related analyses for policy makers, improving the situational awareness of the general public, and serving as a basis for urban information systems that contribute to smart, agile, and resilient city developments.
机译：现代城市正面临着难以解决的危急环境和社会问题，这些问题难以使用传统的规划方法来解决由于城市的幅度和复杂性。然而，近期传感技术和城市计算的发展集成了新的数据资源和技术，以解决这些挑战。 Twitter等流行的社交网络平台为重要事件（例如，文化活动，政治活动，事故，危机）提供了新的数据来源，为城市系统和人类动态提供了丰富的知识。该研究旨在开发一种方法，以便在此类事件中有效地监控重要信息，并帮助规划和政策制定。我们使用语义上类似和地理上关闭地理主题来代表重要的本地活动。该研究提出了一种数据驱动系统，用于检测和跟踪这些地理主题的语义，空间和时间动态，专门为地理标记推文设计。该系统由数据预处理，地理主题生成和地理主题跟踪模块组成。预处理模块可以去除机器人和语义琐碎的文本。在地理主题生成模块中，我们使用空间因子来通过将指数衰减函数应用于推文之间的成对距离来测量地理标记推文的空间影响。然后，我们通过嵌入空间因素来改善动态主题模型（DTM），以便同时在语义，空间和时间尺寸中产生地理主题的产生。地理主题跟踪模块通过检测某些关键字概率的变化以及属于不同地理主题的推文的卷来监视语义变化。该模块还使用旋转半径和轨迹模式挖掘来跟踪和分析地理主题的运动模式。我们在不同美国城市的三个灾难案件中雇用了跟踪系统，以跟踪小规模的紧急情况和危机。这些实施方式展示了系统以在精细的时间和地理标度下识别和跟踪地理位置的有效性。该系统还具有强烈的潜力，创造与政策制定者的规划相关分析，提高了公众的情境意识，并作为城市信息系统的基础，为聪明，敏捷和弹性城市发展做出了贡献。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号