power of people: social capital's role in recovery from the 1995 Kobe earthquake

Despite the regularity of disasters, social science has only begun to generate replicable knowledge about the factors which facilitate post-crisis recovery. Building on the broad variation in recovery rates within disaster-affected cities, I investigate the ability of Kobe's nine wards to repop...

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Bibliographic Details
Published in:Natural hazards (Dordrecht) Vol. 56; no. 3; pp. 595 - 611
Main Author: Aldrich, Daniel P
Format: Journal Article
Language:English
Published: Dordrecht Dordrecht : Springer Netherlands 01.03.2011
Springer Netherlands
Springer
Springer Nature B.V
Subjects:
Cities
Civil Engineering
Cross sections
Disaster
Disaster recovery
Disasters
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Earthquake construction
Earthquake damage
Earthquakes
Economic Conditions
Economics
Engineering and environment geology. Geothermics
Environmental Management
Exact sciences and technology
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Inequalities
Japan
Kobe earthquake
Natural Disasters
Natural Hazards
Natural hazards: prediction, damages, etc
Original Paper
Population density
Population recovery
Public Policy
Recovery
Resilience
Seismic activity
Seismic phenomena
Social Capital
Social Power
Social Sciences
Far East
Asia
Japan
Kobe Japan
Kobe earthquake
Disaster
Population recovery
Social capital
Resilience
damage
density
case studies
recovery
catastrophes
earthquakes
buildings
populations
policy
ISSN:1573-0840, 0921-030X, 1573-0840
Online Access:Get full text
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Description
Summary:Despite the regularity of disasters, social science has only begun to generate replicable knowledge about the factors which facilitate post-crisis recovery. Building on the broad variation in recovery rates within disaster-affected cities, I investigate the ability of Kobe's nine wards to repopulate after the 1995 Kobe earthquake in Japan. This article uses case studies of neighborhoods in Kobe alongside new time-series, cross-sectional data set to test five variables thought to influence recovery along with the relatively untested factor of social capital. Controlling for damage, population density, economic conditions, inequality and other variables thought important in past research, social capital proves to be the strongest and most robust predictor of population recovery after catastrophe. This has important implications both for public policies focused on reconstruction and for social science more generally.
Bibliography:http://dx.doi.org/10.1007/s11069-010-9577-7
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ISSN:1573-0840
0921-030X
1573-0840
DOI:10.1007/s11069-010-9577-7