PA035
Multi-hazard Scenarios: Collaborative and Human-Centric Analyses, and Data-Driven Methods for Practice and Policy
Session ID#: 74883
Session Description:
Multi-hazard scenarios are forums for interdisciplinary and collaborative research and practice. Data-driven scenarios translate hazard information into engineering, environmental, and societal consequences. They are used in disaster response and recovery exercises and planning. Beyond that, human-centric scenarios that consider local social and economic dynamics and challenges, can provide a much richer insight into post-disaster impacts and ways in which communities can be strengthened. Human-centric and data-driven methods generate scenarios at the speed of life. We ask four questions (1) What is innovative about your scenarios? (2) Can scenarios better capture post-disaster human experience at a local level? (3) How can such scenarios be constructed quickly? (4) How can we create synergy between deliberative and targeted scenario generation throughout construction and use in engineering, societal, and environmental decision-making? This session will share how scenarios are being used to explore new topics, analytical methods, collaborative processes, communications, applications, policy-making, and delivery technologies.
Co-Organized:
Co-Sponsor(s):
Index Terms:
4306 Multihazards [NATURAL HAZARDS]
4330 Vulnerability [NATURAL HAZARDS]
4338 Disaster policy [NATURAL HAZARDS]
4343 Preparedness and planning [NATURAL HAZARDS]
Primary Convener: Anne M Wein, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States
Conveners: Kevin John Fries, One Concern, Inc, Menlo Park, CA, United States, Maryia Markhvida, Stanford University, Stanford, CA, United States and Michael Germeraad, Association of Bay Area Governments and Metropolitan Transportation Commission, San Francisco, CA, United States
Primary Liaison: Anne M Wein, U. S. Geological Survey, Western Geographic Science Center, Menlo Park, CA, United States
Water Vulnerability and Worsen Scenario of a Typical Populous City of Least Developed Country (491302)
Emon Roy, Chittagong University of Engineering & Technology, Civil Engineering, Chittagong, Bangladesh, Md Salman Rahman, Chittagong University of Engineering & Technology, Civil Engineering, Chattogram, Bangladesh, Nadia Sultana Nisha, University of Chittagong, Chattogram, Bangladesh and Shubho Ray Chowdhury, Chittagong University of Engineering & Technology, Mechanical Engineering, Chattogram, Bangladesh
Prevention of Multiple Disasters from Tsunamis, Storm Surges, and Floods using Social Models and Caisson-Embedded Banks- A Case Study in Kanto District including Tokyo - (512328)
Daijiro Kaneko, Remote Sensing Environmental Monitor, Inc., President, Yokohama, Japan and Tokuzo Hosoyamada, Nagaoka University of Technology, Professor, Civil and Environmental Engineering, Nagaoka, Japan
Variability of Business Characteristics Exposed to Building Damages from Earthquakes in the San Francisco Bay Area (526493)
Abhineet Gupta, One Concern, Inc, Resilience Engineering, Menlo Park, CA, United States, Anne M Wein, U. S. Geological Survey, Western Geographic Science Center, Menlo Park, CA, United States, Jon Haveman, Marin Economic Consulting, San Rafael, United States and Cynthia Kroll, Association of Bay Area Governments, San Francisco, CA, United States
Towards Human-Centric Rapid Post-Disaster Impact Assessments Through Transdisciplinary Informatics (Invited) (529318)
David Lallemant1, Sabine Loos2, Jamie McCaughey3, Feroz M Khan4, Nama Budhathoki5, Ritika Singh5 and Mhairi Elizabeth O'Hara6, (1)Earth Observatory of Singapore, Asian School of the Environment, Singapore, Singapore, (2)Stanford University, Stanford, CA, United States, (3)ETH Zurich, Human-Environment Systems Group, Department of Environmental Systems Science, Zurich, Switzerland, (4)Earth Observatory of Singapore, Singapore, Singapore, (5)Kathmandu Living Labs, Kathmandu, Nepal, (6)Humanitarian OpenStreetMap, Washington DC, United States
How Would the San Francisco Bay Area Recover after a Major Earthquake? Policy Implications of Evaluating the HayWired Scenario with the Bay Area REMI Model (559575)
Cynthia Kroll1, Shijia Bobby Lu1, Anne M Wein2 and Aksel Olsen1, (1)Metropolitan Transportation Commission, Planning/Economic Development and Forecasting, San Francisco, CA, United States, (2)U. S. Geological Survey, Western Geographic Science Center, Menlo Park, CA, United States
Investigating Twitter as Virtual Community Based Disaster Management Platform (604325)
Neelam Khanduja, Indira Gandhi National Open University(IGNOU), School of Social Sciences, New Delhi, India, Namit Khanduja, Gurukul Kangri Vishvavidyalaya, Haridwar, Computer Science and Engineering, Haridwar, India, Samiksha Singh, Indira Gandhi National Open University (IGNOU), School of Social Sciences, New Delhi, India and Ananjay Kumar Singh, Indian Institute of Technology Roorkee, Computer Science and Engineering, Roorkee, India
Understanding earthquake impact on communities through structural building damage and social vulnerability metrics (605545)
Paola Vargas, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Adam Zsarnóczay, NHERI SimCenter, Richmond, United States, Ann-Margaret Esnard, Georgia State University, Atlanta, GA, United States, Anne M Wein, U. S. Geological Survey, Western Geographic Science Center, Menlo Park, CA, United States and Laurie A. Johnson, Laurie Johnson Consulting | Research, San Francisco, CA, United States
Co-creation of the Alpine Fault M8 (AF8) Impact Scenario: Insights from the scientist-practitioner interface (625943)
Nick Austin Horspool, GNS Science, Lower Hutt, New Zealand, Thomas M Wilson, University of Canterbury, Christchurch, New Zealand and Caroline Orchiston, University of Otago, Department of Tourism, Dunedin, New Zealand
Consequence-driven, counterfactual framework for multi-hazard scenario development (630214)
Yolanda Lin, Nanyang Technological University, Asian School of the Environment, Singapore, Singapore, David Lallemant, Earth Observatory of Singapore, Asian School of the Environment, Singapore, Singapore, Susanna Jenkins, Nanyang Technological University, Earth Observatory of Singapore, Singapore, Singapore and Gordon Woo, RMS, London, United Kingdom
