共查询到19条相似文献，搜索用时 140 毫秒
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《武汉大学学报(信息科学版)》2016,(3)
社交媒体越来越多地被看作是随人们移动的传感器,感知周围发生的事件。当突发事件发生时,大量含有位置信息的文字迅速地充斥整个社交网络。本文探讨突发事件应急信息挖掘与分析的一种新思路。基于社交媒体,建立实时应急主题分类模型,从大量、实时的文本流中快速提取、定位应急信息;针对不同主题,利用统计分析和空间分析方法,探寻突发事件的时间趋势和空间分布,为应急响应提供决策支持。 相似文献
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GIS在城市突发公共事件应急指挥系统的应用研究 总被引：5，自引：0，他引：5
林富明 《测绘与空间地理信息》2009,32(3):31-33,38
针对城市突发事件及各类应急预案的特点,将GIS的可视化技术及信息集成技术与突发事件应急处理相结合,探讨了应急指挥系统的总体框架和应急处理流程,并对在3G时代采用GIS技术处理突发事件所发挥的重要作用进行了展望. 相似文献
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从应急处置的角度着手,建立省级公共应急地理信息系统原型。以青海省为例探讨了基于GIS的应急事件处置流程,并围绕该处置流程,设计并实现了公共应急地理信息系统原型,实现了突发事件定位、影响范围分析、影响因素分析、救援资源分析、态势标绘等功能,为建设青海省公共应急地理信息系统探索了一条切实可行的技术路线。 相似文献
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随着社会经济的发展,城市中突发事件时有发生,并且发生频率呈逐步抬升的态势,为了提供更好的应对措施,基于GIS技术、计算机网络技术与Silverlight技术,结合应急指挥业务,建立应急指挥辅助决策系统,集成城市应急相关数据,实现信息查询、设施目标搜索、动态指挥调度等功能,为应急事件分析模拟与应急指挥决策提供技术支持。 相似文献
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社交媒体因其广泛的公众参与性和多源信息的快速传播性已成为灾情信息获取的重要途径,在近年来的灾害应急救援中发挥着重要的作用。我国是一个风灾频发的国家,有效的管理和利用社交媒体数据辅助减灾救援有着重要的理论和现实意义。然而目前,国内面向微博文本理解和情感分析在减轻灾害方面的研究还十分稀缺。针对目前研究的不足,本文以中文社交媒体为研究对象,通过机器学习的方法挖掘风灾期间的公众情感变化,并结合GIS空间分析技术对灾情的发展与影响进行刻画,最后以2017年台风"天鸽"登陆珠海市为案例证明方法的可行性。 相似文献
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近些年,全球极端天气事件增多、自然灾害加剧、暴力恐怖活动激增,给社会稳定和人民生命财产安全造成极大危害。如何综合利用各种现代信息技术,聚合分析天空地多源多维异构数据,实现精准应急服务与指挥决策,是实施"一带一路"国家重大战略的重要支撑。突发事件复杂多样,而以往的应急信息服务过于粗放,急需建立天空地协同的精准应急服务技术体系。天空地协同遥感监测精准应急服务体系构建与示范项目于2016年7月立项,将围绕地震灾害、暴恐事件、冬奥会和电网应急保障4种应急服务需求,以遥感技术为核心,协同多种空间信息技术,通过3年的技术攻关与应用示范,改变以往粗放、漫灌式的信息服务,构建新的精准应急服务技术体系,解决多源应急信息彼此孤立、割裂的难题。本文概要介绍了该项目的目的意义、总体目标、研究内容与方法、预期效益等,旨在为相关领域科研工作和后续重点专项立项提供参考,并通过交流,深入思考如何更好地实现预期目标。 相似文献
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《International Journal of Digital Earth》2013,6(7):781-801
ABSTRACTAlthough Twitter is used for emergency management activities, the relevance of tweets during a hazard event is still open to debate. In this study, six different computational (i.e. Natural Language Processing) and spatiotemporal analytical approaches were implemented to assess the relevance of risk information extracted from tweets obtained during the 2013 Colorado flood event. Primarily, tweets containing information about the flooding events and its impacts were analysed. Examination of the relationships between tweet volume and its content with precipitation amount, damage extent, and official reports revealed that relevant tweets provided information about the event and its impacts rather than any other risk information that public expects to receive via alert messages. However, only 14% of the geo-tagged tweets and only 0.06% of the total fire hose tweets were found to be relevant to the event. By providing insight into the quality of social media data and its usefulness to emergency management activities, this study contributes to the literature on quality of big data. Future research in this area would focus on assessing the reliability of relevant tweets for disaster related situational awareness. 相似文献
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宁波是个人口众多、突发事故频发的沿海城市,宁波市应急避难场所信息系统的研究对应急指挥、人员疏散都具有重要的社会现实意义。本文在GIS技术的基础上,提出应急避难场所信息系统总体结构及技术路线,阐述其实现的基本原理,并提出构建宁波市应急避难场所信息系统的初步框架。 相似文献
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Scott Pezanowski Alan M MacEachren Alexander Savelyev Anthony C Robinson 《制图学和地理信息科学》2018,45(5):420-437
SensePlace3 (SP3) is a geovisual analytics framework and web application that supports overview + detail analysis of social media, focusing on extracting meaningful information from the Twitterverse. SP3 leverages social media related to crisis events. It differs from most existing systems by enabling an analyst to obtain place-relevant information from tweets that have implicit as well as explicit geography. Specifically, SP3 includes not just the ability to utilize the explicit geography of geolocated tweets but also analyze implicit geography by recognizing and geolocating references in both tweet text, which indicates locations tweeted about, and in Twitter profiles, which indicates locations affiliated with users. Key features of SP3 reported here include flexible search and filtering capabilities to support information foraging; an ingest, processing, and indexing pipeline that produces near real-time access for big streaming data; and a novel strategy for implementing a web-based multi-view visual interface with dynamic linking of entities across views. The SP3 system architecture was designed to support crisis management applications, but its design flexibility makes it easily adaptable to other domains. We also report on a user study that provided input to SP3 interface design and suggests next steps for effective spatiotemporal analytics using social media sources. 相似文献
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分析了基础地理数据在应急指挥系统中的作用,提出了基础地理信息在应急指挥系统中的应用,并实现了广东省应急指挥系统国土资源子系统的建设。 相似文献
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分析了在应急中对水利信息的需求,讨论了为满足应急需求,水利信息的更新和共享方式,对水利信息在应急中的应用模式进行分析和探讨,供省、市级政府应急平台以及水利部门应急平台设计中参考。 相似文献
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ABSTRACTUrban functions are closely related to people’s spatiotemporal activity patterns, transportation needs, and a city’s business distribution and development trends. Studies investigating urban functions have used different data sources, such as remotely sensed imageries, observation, photography, and cognitive maps. However, these data sources usually suffer from low spatial, temporal, and thematic resolution. This article attempts to investigate human activities to understand urban functions through crowdsourcing social media data. In this study, we mined Twitter and Foursquare data to extract and analyze six types of human activities. The spatiotemporal analysis revealed hotspots for different activity intensities at different temporal resolution. We also applied the classified model in a real-time system to extract information of various urban functions. This study demonstrates the significance and usefulness of social sensing in analyzing urban functions. By combining different platforms of social media data and analyzing people’s geo-tagged city experience, this article contributes to leverage voluntary local knowledge to better depict human dynamics, discover spatiotemporal city characteristics, and convey information about cities. 相似文献