Identification of local information items needed during search and rescue following an earthquake

Purpose – This paper aims to identify the local information items that are needed by search and rescue (S&R) teams for an effective disaster response following an earthquake. Currently, it is a challenging and time‐consuming task to collect most of this information from a disaster environment. It was envisioned that the local information identified can be stored on distributed databases that are placed in the buildings and will be used to improve S&R operations.Design/methodology/approach – The information items are obtained through a literature review and via interviews conducted with experts from disaster response organizations. The data collected were triangulated to generate a data model, which was then validated internally and externally by expert feedback.Findings – A data model including a detailed list of information items required during S&R operations was generated, along with justification of the information needs. The findings show that not only information related to buildings, but also other...

[1]  Sylwia Męcfal.  Recenzja książki. Robert K. yin, Case Study Research. Design and Methods (fourth Edition), thousand Oaks, CA: Sage Publications, 2009 , 2012 .

[2]  Jean Hartley,et al.  Case study research , 2004 .

[3]  Feniosky Peña-Mora,et al.  A Collaborative Framework for Supporting Civil Engineering Emergency Response with Mobile Ad-Hoc Networks , 2007 .

[4]  Ghassan Aouad,et al.  Investigating the Role of Building Information Models as a Part of an Integrated Data Layer: A Fire Response Management Case , 2007 .

[5]  D. McEntire,et al.  Preparing communities for disasters: issues and processes for government readiness , 2004 .

[6]  Feniosky Peña-Mora,et al.  Supporting urban emergency response and recovery using RFID‐based building assessment , 2009 .

[7]  R. Yin.  Case Study Research: Design and Methods , 1984 .

[8]  Yasushi Hada,et al.  Rescue Communicators for Global Victim Search and Local Rescue Planning , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Steven T. Bushby,et al.  Workshop to Define Information Needed by Emergency Responders During Building Emergencies , 2005 .

[10]  Feniosky Peña-Mora,et al.  A preliminary design of disaster-survivable building blackbox system for urban disaster response , 2008, J. Inf. Technol. Constr..

[11]  Esin Ergen,et al.  Local Information Access for Search and Rescue Using Wireless Data Storage Mediums , 2011 .

[12]  F. Matsuno,et al.  Rescue Infrastructure for Global Information Collection , 2006, 2006 SICE-ICASE International Joint Conference.

[13]  Feniosky Peña-Mora,et al.  A GIS approach to equipment allocation for structural stabilization and civilian rescue , 2010, ISCRAM.

[14]  Thomas Bernoulli,et al.  A Building Information Model for a Context-Adaptive Disaster Management System , 2008 .

[15]  Feniosky Peña-Mora,et al.  Building assessment during disaster response and recovery , 2008 .

[16]  Thomas Bernoulli,et al.  A CONTEXT-ADAPTIVE BUILDING INFORMATION MODEL FOR REAL-TIME STRUCTURAL ANALYSIS IN A DISASTER MANAGEMENT SYSTEM , 2008 .

[17]  Kulwinder S. Banipal,et al.  Strategic approach to disaster management: lessons learned from Hurricane Katrina , 2006 .

[18]  Anu Pradhan,et al.  Infrastructure Management Information System Framework Requirements for Disasters , 2007 .

[19]  Khaled A El-Rayes,et al.  Mobile Ad Hoc Network-Enabled Collaboration Framework Supporting Civil Engineering Emergency Response Operations , 2010 .

[20]  Naim Kapucu,et al.  Disaster and crisis management in Turkey: a need for a unified crisis management system , 2010 .

[21]  Alpaslan Özerdem,et al.  Disaster Management and Civil Society: Earthquake Relief in Japan, Turkey and India , 2005 .

[22]  M. Hosseini,et al.  Sustainable neighbourhood earthquake emergency planning in megacities , 2010 .