09325nam 2200493 450 99647206610331620221118133227.03-031-04170-4(MiAaPQ)EBC6953204(Au-PeEL)EBL6953204(CKB)21511120300041(PPN)262167859(EXLCZ)992151112030004120221118d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInformation technology in disaster risk reduction 6th IFIP WG 5.15 international conference, ITDRR 2021, Morioka, Japan, October 25-27, 2021, revised selected papers /edited by Jun Sasaki [and three others]Cham, Switzerland :Springer,[2022]©20221 online resource (182 pages)IFIP Advances in Information and Communication Technology Ser. ;v.638Print version: Sasaki, Jun Information Technology in Disaster Risk Reduction Cham : Springer International Publishing AG,c2022 9783031041693 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents -- Information Analysis for Situation Awareness -- Automatic Calculation of Damage Rate of Roofs Based on Image Segmentation -- 1 Introduction -- 1.1 Problem in Building Damage Investigation -- 1.2 Usage of Aerial Photos Images During Disaster -- 1.3 Study Purpose -- 2 Previous Study -- 3 Development of Automatic Method to Calculate the Rate of Damage on Roof -- 3.1 The Method to Calculate the Rate of Damage on the Roof in the Building Damage Investigation -- 3.2 The Method to Calculate Damage Rate of Roof in This Study -- 3.3 Trimming Algorithm -- 3.4 Shortcomings of this Study -- 3.5 Increase of Data by Division of Roof Surface -- 4 Division of Roof Surface -- 4.1 Previous Study About Roof Surface -- 4.2 Segmentation Model -- 4.3 Used Data -- 4.4 Training Method -- 4.5 Result of Division in the First Experiment -- 4.6 Roof Image with Some Features -- 4.7 Result of Division in Additional Experiment -- 4.8 Image Processing After Division -- 5 Classification of Damage Degree -- 5.1 Classification Model -- 5.2 Data Used -- 5.3 Training Method -- 5.4 Classification Result -- 6 Calculation of Damage Rate -- 6.1 Calculation Method of Estimated Damage Rate -- 6.2 Error of Correct Answer -- 6.3 Comparison of Correct Damage Rate and Estimated Damage Rate -- 6.4 Evaluation of Model Accuracy -- 7 Discussion and Future Tasks -- References -- Flood Disaster Mitigation System Adopting Meteorological Data and Geographic Information Systems -- 1 Introduction -- 2 Related Work -- 3 System Design Requirement Analysis of FDMS Using SD -- 3.1 Outlines of SD -- 3.2 Iceberg Model Analysis -- 3.3 Causal Loop Diagram Analysis -- 3.4 Leverage Points -- 3.5 Observed Data Examples at River -- 3.6 System Concept -- 4 Basic Design and Integration of System -- 4.1 Basic Design of System -- 4.2 Integration of System.5 System Verification -- 6 Conclusion -- References -- Flood Disaster Management System for Situation Awareness and Response Using Twitter Data -- 1 Introduction -- 2 Related Work -- 2.1 Situation Awareness -- 2.2 Usage of Social Media for Situation Awareness During Disasters -- 2.3 Disaster Response and Relief -- 2.4 Originality of the Present Study -- 3 System Design -- 3.1 System Configuration -- 3.2 Data Collection -- 3.3 Extraction of Information Location -- 3.4 Web Application -- 3.5 Situation Awareness -- 4 System Development -- 4.1 System Frontend -- 4.2 System Backend -- 4.3 System Operation Environment -- 4.4 Operation Target Area -- 5 Conclusion -- References -- Evacuation and Rescue -- Proposed Evacuation Behavior Model Using Open-Source Data: Flood Disaster Case Study -- 1 Introduction -- 2 Related Studies -- 3 Evacuation Model Concept -- 3.1 Evacuation Decision Process Model -- 3.2 Calculation of Evacuation Shelter Choice Probability -- 3.3 Evacuee Rate Calculation -- 4 Simulation -- 4.1 Algorithm Overview -- 4.2 Target Area and Data -- 4.3 Data Used in the Simulation -- 4.4 Explanatory Variables -- 4.5 Scenarios -- 4.6 Optimization Method -- 4.7 Comparison Between Actual and Predicted Number of Evacuees -- 4.8 Field Survey -- 5 Conclusion -- References -- Agent-Based Tsunami Crowd Evacuation Simulation for Analysis of Evacuation Start Time and Disaster Rate in Zushi City -- 1 Introduction -- 2 Methods -- 2.1 Modelling of Target Areas -- 2.2 Tsunami Model and Evacuation Behaviour of Agents -- 3 Results and Discussion -- 4 Conclusion -- References -- Rescue Strategy in Case of Large-Scale Flood Damage in the Koto Delta Region -- 1 Introduction -- 2 Research Background -- 2.1 Characteristics of Flooding in the Koto Delta Region -- 2.2 Issues of Wide-Area Evacuation -- 3 Previous Studies and Purpose of this Study.4 Estimation of Changes in the Number of Isolated People in the Koto Delta Region When Rescue Operations are Conducted -- 4.1 Data and Estimation Methods -- 4.2 Comparison of the Difference in the Size of Population Aggregation Unit Area -- 4.3 Comparison of the Difference in the Order of Rescuing Isolated People -- 4.4 Comparison of the Difference in the Evacuation Rate of the Residents on Upper Floors -- 4.5 Estimation of the Evacuation Rate Required to Complete Rescue in 7 days -- 5 Summary and Future Work -- References -- COVID-19 Issues -- Trial of Building a Resilient Face-To-Face Classroom Based on CO2-Based Risk Awareness -- 1 Introduction -- 2 Case Study and Issues -- 2.1 Case Study -- 2.2 Ventilation Issues -- 3 Measurement System -- 4 Experiments -- 4.1 Measurement at an Event -- 4.2 Measurement of the Whole Campus -- 5 Conclusion -- References -- Analysis of Quote Retweets for COVID-19 State of Emergency Related Tweets Posted from Prefectural Governors' Accounts in Japan -- 1 Introduction -- 2 Related Studies -- 3 Analysis of Tweets -- 3.1 Governors' Accounts to Be Analyzed -- 3.2 Tweets Collection -- 3.3 Analysis of Quote Retweets of Governors' Tweets -- 4 Conclusions -- References -- Insights from the COVID-19 Pandemic for Systemic Risk Assessment and Management -- 1 Introduction -- 1.1 Have We Learnt Enough from COVID-19 to Manage New Pandemic Waves Better? -- 1.2 The Aim of This Paper and How It Is Organized -- 2 Characteristics of a Major Pandemic in the Globalization Era -- 3 Risks in the Light of Systemic Interdependencies -- 3.1 Adequate Risk Definition in the Presence of Dynamic Complexity -- 3.2 Quantitative Analysis of Qualitative Models of Systemic Risk -- 4 Order of Magnitude of Pandemic Cascading Effects -- 4.1 The Risk Systemicity Approach -- 4.2 Cascading Effects as Vicious Cycles -- 5 Discussion -- References.IT Use for Risk and Disaster Management -- Leveraging Geospatial Technology in Disaster Management -- 1 Introduction -- 1.1 Disaster Scenario -- 1.2 Geospatial Technology -- 1.3 Geospatial Technology Innovations in Disaster Management -- 2 Karnataka State Disaster Management Information System (KSDMIS) - A Geospatial Web Application for Collecting Data on Disaster Events -- 2.1 About Karnataka -- 2.2 Objectives of KSDMIS Application Software -- 2.3 Benefits of KSDMIS Application Software -- 2.4 KSDMIS Application Software Structure -- 2.5 Mobile Interface for Data Collection and Updation -- 2.6 Web Interface to the KSDMIS Application Software -- 2.7 Adopting Geospatial Technology in KSDMIS -- 3 Geospatial Enabled - District Disaster Management Plan - GEDDMP System -- 3.1 Operation Strategy -- 3.2 Continuous Data Updation -- 3.3 Benefits of Geospatial Enabled-DDMP System -- 3.4 Geospatial Technology for Different Phases of Disaster Management -- 3.5 Geospatial Enabled DDMP Application Software Structure -- 3.6 Core Technology of Geospatial-DDMP Application Software -- 3.7 Workflow -- 3.8 Features of Survey Template HOOKs -- 3.9 Roadmap and Futuristic View -- References -- Information Technologies for Assessing the Effectiveness of the Quarantine Measures -- 1 Importance of Quarantine Measures -- 2 Variety of Quarantine Measures -- 3 Application of Restrictive Measures and the Need to Assess Their Efficiency -- 4 Selection of Modelling Approach for Quarantine Measure Efficiency -- 5 Overview of Epidemiology Models -- 6 Model Description and Development of Software -- 7 Model Description and Software Development -- 8 Discussion of Modelling Results -- 9 Scope of Application and Further Improvement of the Simulation Tool -- 10 Comparison of Modeling Results -- 11 Conclusions -- References -- Author Index.IFIP Advances in Information and Communication Technology Ser.Natural disastersEmergency managementNatural disasters.Emergency management.353.950285Sasaki JunMiAaPQMiAaPQMiAaPQBOOK996472066103316Information Technology in Disaster Risk Reduction2834273UNISA