Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management最新文献

PTEMS: a novel public transportation emergency management system based on GIS PTEMS:一种基于GIS的新型公共交通应急管理系统

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835612

Ran Liu, Guofeng Su, Wenjie Tang, Hong Su

引用次数: 3

Air quality adjusted routing for cyclists and pedestrians 空气质量调整路线为骑自行车和行人

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835609

S. Müller, A. Voisard

引用次数: 6

Evacuation shelter and route selection based on multi-objective optimization approach 基于多目标优化方法的疏散场所及路径选择

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835598

Ping Zhang, Hui Zhang, Danhuai Guo

引用次数: 4

An open-source software system for setting wildfire evacuation triggers 一个用于设置野火疏散触发器的开源软件系统

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835600

Dapeng Li, T. Cova, P. Dennison

{"title":"An open-source software system for setting wildfire evacuation triggers","authors":"Dapeng Li, T. Cova, P. Dennison","doi":"10.1145/2835596.2835600","DOIUrl":"https://doi.org/10.1145/2835596.2835600","url":null,"abstract":"Wildfire evacuation triggers are prominent geographic features used in wildfire evacuation practices to facilitate warning and communication during evacuations. When a fire crosses these features, emergency managers issue evacuation orders for the residents in the path of the fire. Computerized modeling of triggers uses geographic information systems (GIS) and fire-spread modeling to calculate a geographic buffer for a given locality with an input evacuation time. The existing trigger modeling method uses several software packages and programs to create trigger buffers, which makes it inconvenient and time-consuming to use in practice. In this work, an open-source software system is designed and implemented for setting wildfire evacuation triggers. The analysis, design, and implementation of the software system are presented. Moreover, a case study that employs the proposed system to create trigger buffers in Julian, California illustrates the software system. The results show that the proposed system is more user-friendly and makes it more convenient to perform trigger modeling in various applications. The open-source nature of the software system could potentially facilitate communication and collaboration between the developers, researchers, and emergency managers.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133301991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Crowdsourcing based spatial mining of urban emergency events using social media 基于众包的城市突发事件社交媒体空间挖掘

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835610

Zheng Xu, V. Sugumaran, Hui Zhang

{"title":"Crowdsourcing based spatial mining of urban emergency events using social media","authors":"Zheng Xu, V. Sugumaran, Hui Zhang","doi":"10.1145/2835596.2835610","DOIUrl":"https://doi.org/10.1145/2835596.2835610","url":null,"abstract":"With the advances of information communication technologies, it is critical to improve the efficiency and accuracy of emergency management systems through modern data processing techniques. The past decade has witnessed the tremendous technical advances in Sensor Networks, Internet/Web of Things, Cloud Computing, Mobile/Embedded Computing, Spatial/Temporal Data Processing, and Big Data, and these technologies have provided new opportunities and solutions to emergency management. GIS models and simulation capabilities are used to exercise response and recovery plans during non-disaster times. They help the decision-makers understand near real-time possibilities during an event. In this paper, a crowdsourcing based model for mining spatial information of urban emergency events is introduced. Firstly, basic definitions of the proposed method are given. Secondly, positive samples are selected to mine the spatial information of urban emergency events. Thirdly, location and GIS information are extracted from positive samples. At last, the real spatial information is determined based on address and GIS information. At last, a case study on an urban emergency event is given.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129825054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Indoor evacuation planning using a limited number of sensors 利用有限数量的传感器进行室内疏散规划

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835597

Ashok Nallagalva, N. L. Sarda, A. Bhushan

{"title":"Indoor evacuation planning using a limited number of sensors","authors":"Ashok Nallagalva, N. L. Sarda, A. Bhushan","doi":"10.1145/2835596.2835597","DOIUrl":"https://doi.org/10.1145/2835596.2835597","url":null,"abstract":"This paper focuses on indoor evacuation path planning problem where the objective is to find evacuation paths for each evacuee such that the evacuation egress time is minimized. Since paths are dependent on the distribution of evacuees, initial positions of evacuees are required to find optimal paths during emergency. Instrumenting a building to obtain initial positions and count of people in a building is very challenging (and costly), and hence evacuation plans are prepared for a few expected distributions. Generally, a standard plan based on a predominant distribution of evacuees is posted on the walls inside an indoor facility for people to follow. However, the actual distribution may be another distribution from among the possible distributions. In this work, we consider the problem of finding the distribution that prevails at the evacuation time so that evacuees can be guided to follow the optimal paths (leading to minimum time) rather than following the standard plan. We propose a cost-effective solution to this problem by observing movement of people within a specified time period, labeled distribution detection window, using minimum number of optimally located sensors. This is in contrast to existing approaches which assume that unlimited sensors are available to instantaneously obtain the exact distribution of evacuees at the time of incidence. To our knowledge this paper presents the first formal evacuation planning approach that enables the user to optimally tradeoff the delay in distribution detection with the cost of the deployed sensor network used to obtain this distribution. Our approach is based on the popular heuristic denoted as Capacity Constrained Routing Planner (CCRP). Our approach is illustrated by a set of experiments on two case studies. The results demonstrate that evacuation plans obtained using minimum number of sensors are better than the standard plans and are comparable to evacuation plans computed using unlimited number of sensors.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133638441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Prioritizing road network connectivity information for disaster response 优先考虑道路网络连接信息以应对灾害

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835613

Yingjie Hu, K. Janowicz

{"title":"Prioritizing road network connectivity information for disaster response","authors":"Yingjie Hu, K. Janowicz","doi":"10.1145/2835596.2835613","DOIUrl":"https://doi.org/10.1145/2835596.2835613","url":null,"abstract":"Information plays an important role in disaster response. In the past, there has been a lack of up-to-date information following major disasters due to the limited means of communication. This situation has changed substantially in recent years. With the ubiquity of mobile devices, people experiencing emergency events may still be able to share information via social media and peer-to-peer networks. Meanwhile, volunteers throughout the world are remotely convened by humanitarian organizations to digitize satellite images for the impacted area. These processes produce rich information which presents a new challenge for decision makers who have to interpret large amount of heterogeneous information within limited time. This short paper discusses this problem and outlines a potential solution to prioritizing information in emergency situations. Specifically, we focus on information about road network connectivity, i.e., whether a road segment is still accessible after a disaster. We propose to integrate information value theory with graph theory, and prioritize information items based on their contributions to the successes of potential rescue tasks and to the more accurate estimation of road network connectivity. Finally, we point out directions for future work.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

On managing geospatial big-data in emergency management: some perspectives 浅谈应急管理中的地理空间大数据管理

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835614

Kuien Liu, Yandong Yao, Danhuai Guo

{"title":"On managing geospatial big-data in emergency management: some perspectives","authors":"Kuien Liu, Yandong Yao, Danhuai Guo","doi":"10.1145/2835596.2835614","DOIUrl":"https://doi.org/10.1145/2835596.2835614","url":null,"abstract":"With the rapid growth of mobile devices and applications, geo-tagged data is becoming increasingly important in emergency management and has become a major workload for big data storage systems. Traditional methods that storing geospatial data in centralized databases suffer from inevitable limitations such like scaling out with the growing size of geospatial data. In order to achieve scalability, a number of solutions on big geospatial data management are proposed in recent years. We can simply classify them into two kinds: extending on distributed databases, or migrating to big-data storage systems. For previous, they mostly adopt the massive parallel processing (MPP) based architecture, in which data are stored and retrieved in a set of independent nodes. Each node can be treated as a traditional databases instance with geospatial extension. For the latter, existing solutions tend to build an additional index layer above general-purpose distributed data stores, e.g., HBASE, CASSANDRA, MangoDB, etc., to support geospatial data while integrating the big-data lineage. However, there are no absolutely perfect data management systems on the earth. Some approaches are desired for execution efficiency while some others are better on fulfilling the programming level need for big data scenarios. In this paper, we analysis the requirements and challenges on geospatial big data storage in emergency management, succeed with discussion with individual perspective from practical cases. The purpose of this paper is not only focused on how to program a geospatial data storage platform but also on how to approve the rationality of geospatial big data system that we plan to build.","PeriodicalId":323570,"journal":{"name":"Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130772307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Study on large-scale traffic evacuation simulation with multi-model integration 多模型集成的大规模交通疏散仿真研究

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835606

Yi Liu, Gangqiao Wang, Pan Yang, Yuying Jiao, Jing Qian

引用次数: 0

Semantic analysis on microblog data for emergency response in typhoon Chan-hom 台风灿鸿应急响应微博数据语义分析

Proceedings of the 1st ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2015-11-03 DOI: 10.1145/2835596.2835604

Qing Deng, Yi Liu, Xiaolong Deng, Hui Zhang

引用次数: 5