TY - GEN
T1 - Investigating the Relationships of Socioeconomic Factors Delaying Post-Disaster Reconstruction
AU - Rouhanizadeh, Behzad
AU - Kermanshachi, Sharareh
N1 - Publisher Copyright:
© 2019 American Society of Civil Engineers.
PY - 2019
Y1 - 2019
N2 - Achieving communities resilient to natural disasters has been a big deal for the decision-makers. It takes different time for the communities to recover from similar disasters, due to their different pre-disaster and post-disaster conditions. Many complicated social, economic, environmental, etc. conditions and their dynamic relationship and interaction should be considered to understand how they cause delays. This research aims to study how the barriers to disaster recovery affect the timeliness of recovery process and what is their relationships. Thus, the barriers were identified, and through a social network analysis (SNA), the relationships and interactions among them was modeled and analyzed. Among different barriers, damage to major infrastructure systems was recognized as the main cause of disaster recovery delays. Implementing the findings of this study, decision-makers of post-disaster recovery could plan to achieve a more resilient community by identifying the relationships among different preventive indicators and planning to avoid them.
AB - Achieving communities resilient to natural disasters has been a big deal for the decision-makers. It takes different time for the communities to recover from similar disasters, due to their different pre-disaster and post-disaster conditions. Many complicated social, economic, environmental, etc. conditions and their dynamic relationship and interaction should be considered to understand how they cause delays. This research aims to study how the barriers to disaster recovery affect the timeliness of recovery process and what is their relationships. Thus, the barriers were identified, and through a social network analysis (SNA), the relationships and interactions among them was modeled and analyzed. Among different barriers, damage to major infrastructure systems was recognized as the main cause of disaster recovery delays. Implementing the findings of this study, decision-makers of post-disaster recovery could plan to achieve a more resilient community by identifying the relationships among different preventive indicators and planning to avoid them.
UR - http://www.scopus.com/inward/record.url?scp=85068785357&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85068785357&partnerID=8YFLogxK
U2 - 10.1061/9780784482445.005
DO - 10.1061/9780784482445.005
M3 - Conference contribution
AN - SCOPUS:85068785357
T3 - Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
SP - 33
EP - 40
BT - Computing in Civil Engineering 2019
A2 - Cho, Yong K.
A2 - Leite, Fernanda
A2 - Behzadan, Amir
A2 - Wang, Chao
PB - American Society of Civil Engineers (ASCE)
T2 - ASCE International Conference on Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience, i3CE 2019
Y2 - 17 June 2019 through 19 June 2019
ER -