基于社交网络的城镇灾害数字化防控方法探讨
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摘要
互联网的飞速发展将开创城镇灾害数字化防控的新格局。社交网络作为大数据时代信息交流和传递的工具,是网络用户发布信息的重要平台。社交数据具有大样本量、实时动态、微观详细等特点,对"动态化"的灾害信息处理具有十分重要的意义。新浪微博是中国社交网络的中坚力量。本文就新浪微博在即时反映城镇灾害的时空间变化规律,验证城市防灾布局合理性等方面的开发前景进行了探讨。
引文
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[2]Sadilek A,Kautz H,Silenzio V.Modeling Spread of Disease from Social Interactions[C]//In Sixth AAAI International Conference on Weblogs and Social Media(ICWSM.2012.
[3]Naaman M,Zhang A X,Brody S,et al.2012.On the study of diurnal urban routines on Twitter.6th International AAAI Conference on Weblogs and Social Media(ICWSM-12).Dublin,Ireland:June 4-7.
[4]王波,甄峰,张浩.基于签到数据的城市活动时空间动态变化及区划研究[J].地理科学,2015(2):151-160.
[5]李长风.基于社交网络位置数据的区域流动空间特征研究--以长三角城市群为例[J].上海城市规划,2014(5):44-50.
[6]Yuichi S.Hayakawa,Takashi Oguchi,Hill H.Kobayashi,et al.Developing a Prototype of Geospatial Data Sharing and Analysis System for Disaster Management in the Philippines:A Case Study on Typhoon Haiyan(Yolanda)[R].Center for Spatial Information Science,The University of Tokyo,Japan,2015.
[7]Bandana Kar.A GIS-Based Model to Determine Site Suitability of Emergency Evacuation Shelters[J].Transaction in GIS.2008,12(2):227-248.
[8]杨龙江,苏经宇,王威,王志涛.城市综合防灾减灾能力评价的可变模糊集理论[J].土木工程学报,2013,S2:288-293.
[9]Wang W,Tian J,Wang Z T,et al.Evaluation Method of Urban Comprehensive Disaster-carrying Capability Based on Fractal Theory[J].Applied Mechanics and Materials,2011,90-93:3155-3160.
[10]王威,田杰,马东辉,等.基于云模型的城市防震减灾能力综合评估方法[J].北京工业大学学报,2010,36(6):764-770.
[11]Takeshi Ohata,Masao Kuwahara,Jinyoung Kim,Data Fusion Analsis For Traffic Management During a Disaster[C].OPTIMUM 2013-International Symposium on Recent Advances in Transport Modelling[A],2013.
[12]Choi S,Bae B.The Real-Time Monitoring System of Social Big Data for Disaster Management[M]//Computer Science and its Applications.Springer Berlin Heidelberg,2015:809-815.
[13]秦萧,甄峰,熊丽芳,朱寿佳.大数据时代城市时空间行为研究方法[J].地理科学进展,2013,09:1352-1361.