基于两部分图的城市灾害易感性比较方法

Wubai Zhou, Chao Shen, Tao Li, Shu‐Ching Chen, Ning Xie, Jinpeng Wei
{"title":"基于两部分图的城市灾害易感性比较方法","authors":"Wubai Zhou, Chao Shen, Tao Li, Shu‐Ching Chen, Ning Xie, Jinpeng Wei","doi":"10.1109/IRI.2014.7051943","DOIUrl":null,"url":null,"abstract":"People are attracted to large cities because of more employment opportunities, convenient facilities, and rich cultural activities. However, large cities are also more vulnerable to natural disasters, which have caused widespread physical destructions, great loss of life and property, and immense havoc. \"Which city is less susceptible to natural disasters?\" is thus one of the most critical questions one faces when making decisions on travelling or job and business relocation. In this work, we propose a bipartite-graph based framework to compare the impacts of disasters on two cities by answering different queries using textual documents collected online. Besides intuitive simple comparison using statistics, our system also generates textual comparative summaries to better describe the differences between the two cities in terms of safety. Although a number of online services provide disaster events statistic information for cities, our framework compares the impacts of disasters on cities in a more straightforward and comprehensive way.","PeriodicalId":360013,"journal":{"name":"Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A bipartite-graph based approach for disaster susceptibility comparisons among cities\",\"authors\":\"Wubai Zhou, Chao Shen, Tao Li, Shu‐Ching Chen, Ning Xie, Jinpeng Wei\",\"doi\":\"10.1109/IRI.2014.7051943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"People are attracted to large cities because of more employment opportunities, convenient facilities, and rich cultural activities. However, large cities are also more vulnerable to natural disasters, which have caused widespread physical destructions, great loss of life and property, and immense havoc. \\\"Which city is less susceptible to natural disasters?\\\" is thus one of the most critical questions one faces when making decisions on travelling or job and business relocation. In this work, we propose a bipartite-graph based framework to compare the impacts of disasters on two cities by answering different queries using textual documents collected online. Besides intuitive simple comparison using statistics, our system also generates textual comparative summaries to better describe the differences between the two cities in terms of safety. Although a number of online services provide disaster events statistic information for cities, our framework compares the impacts of disasters on cities in a more straightforward and comprehensive way.\",\"PeriodicalId\":360013,\"journal\":{\"name\":\"Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRI.2014.7051943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration (IEEE IRI 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2014.7051943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

人们被大城市吸引是因为更多的就业机会、便利的设施和丰富的文化活动。然而,大城市也更容易受到自然灾害的影响,自然灾害造成了广泛的物质破坏、巨大的生命财产损失和巨大的破坏。因此,“哪个城市不容易受到自然灾害的影响?”是人们在决定旅行或工作和业务搬迁时面临的最关键问题之一。在这项工作中,我们提出了一个基于两部分图的框架,通过使用在线收集的文本文件回答不同的问题来比较灾害对两个城市的影响。除了使用统计数据进行直观的简单比较外,我们的系统还生成文本比较摘要,以更好地描述两个城市在安全方面的差异。虽然许多在线服务为城市提供灾害事件统计信息,但我们的框架以更直接和全面的方式比较灾害对城市的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A bipartite-graph based approach for disaster susceptibility comparisons among cities
People are attracted to large cities because of more employment opportunities, convenient facilities, and rich cultural activities. However, large cities are also more vulnerable to natural disasters, which have caused widespread physical destructions, great loss of life and property, and immense havoc. "Which city is less susceptible to natural disasters?" is thus one of the most critical questions one faces when making decisions on travelling or job and business relocation. In this work, we propose a bipartite-graph based framework to compare the impacts of disasters on two cities by answering different queries using textual documents collected online. Besides intuitive simple comparison using statistics, our system also generates textual comparative summaries to better describe the differences between the two cities in terms of safety. Although a number of online services provide disaster events statistic information for cities, our framework compares the impacts of disasters on cities in a more straightforward and comprehensive way.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信