SI: Modeling Urban Resilience to Disasters

Special Issue of International Journal of Disaster Risk Reduction (IJDRR) on Modeling Urban Resilience to Disasters
Articles available here*

Introduction to the Special Issue: Modeling Urban Resilience to Disasters
Daniel Felsenstein[1] and Erick Mas[2]
[1] Hebrew University of Jerusalem, Israel
[2] International Research Institute of Disaster Science, Tohoku University, Japan
 

Gauging Urban Resilience from Social Media
Dmitry Leykin[1], Mooli Lahad[1] and Limor Aharonson-Daniel[1]
[1] Ben Gurion University of the Negev, Israel
 

A Prototype Seismic Loss Assessment Tool using Integrated Earthquake Simulation
Panon Latcharote[1], Kenjiro Terada[2], Muneo Hori[3] and Fumihiko Imamura[2]
[1]Faculty of Science and Technology, Thammasat University, Thailand
[2]International Research Institute of Disaster Science, Tohoku University, Japan
[3] Department of Civil Engineering, Earthquake Research Institute, University of Tokyo, Japan
 

Household Insurance Expenditure as an Indicator of UrbanResilience
Daniel Felsenstein[1], Masha Vernik[1]  and Yael Israeli[1]
[1] Hebrew University of Jerusalem, Israel
 

That Sinking Feeling: The Changing Price of Urban Disaster Risk Following an Earthquake 
Luis Levente Timar[1], Arthur Grimes[1]  and Richard Fabling[1]
[1]Motu Economic & Public Policy Research, New Zealand
 

Synthetic building damage scenarios using empirical fragility functions: A case study of the 2016 Kumamoto earthquake
Luis Moya[1], Erick Mas[1], Shunichi Koshimura[1] and Fumio Yamazaki[2]
[1] International Research Institute of Disaster Science, Tohoku University, Japan
[2] Department of Urban Environment Systems, Chiba University, Japan
 

Modeling Fire Spread in Cities with Non-Flammable Construction 
Yonatan Shaham[1] and Itzhak Benenson[1]
[1] Tel Aviv University, Israel
 

Analysis of evacuation behavior in a wildfire event
Tomer Toledo[1], Ido Marom[1], Einat Grimberg[1] and Shlomo Bekhor[1]
[1] Technion-Israel Institute of Technology, Israel
 

An Integrated Method to Extract Collapsed Buildings from Satellite Imagery, Hazard Distribution and Fragility Curves
Luis Moya[1], Erick Mas[1], Bruno Adriano[1], Shunichi Koshimura[1], Fumio Yamazaki[2] and Wen Liu[2]
[1] International Research Institute of Disaster Science, Tohoku University, Japan
[2] Department of Urban Environment System, Chiba University, Japan
 

Modeling the Labor Market in the Aftermath of a Disaster: Two Perspectives
Yair Grinberger[1] and Peleg Samuels[1]
[1] Hebrew University of Jerusalem, Israel
*Available here.


Disaster preparedness for better response: Logistics perspectives
Rubel Das[1]
[1] Research & Development Center, Nippon Koei Co., Ltd., Japan