遇见数据集

Disaster recovery – evidence from 100 natural disasters

收藏
DataONE2026-01-09 更新2026-01-24 收录
官方服务:

资源简介:

This paper examines the factors that affect the recovery process following 100 major natural disasters. The study aimed to measure the speed and quality of recovery and to begin to answer the question of why some places recover faster and better than others. This worldwide study, conducted over a 15-year period, covers four natural hazards: major floods, storms, earthquakes, and tsunamis. , Methodology abstract A number of indicators were considered to measure the speed of recovery, based on a “return to normality”.[i] Measures of the quality of recovery were based on the concept of “building back better” and a change in resilience.[ii] The speed of recovery was measured separately for ‘economy’ and ‘society’, based on the time taken in months to return to ‘normal’ to comply with the conditions listed below. The quality of recovery was measured in terms of changes in economic growth, safety and amenity. Improvements in these factors result in improved resilience, while a deterioration results in impaired recovery. They are each measured on a five-point scale: from 1, much worse to 5, much better. Dependent variables - Factors measuring speed and quality of recovery   Speed (months) Quality (scale 1-5) Economy Livelihoods ≥90% back in work; Economy ≥90% businesses back in operation; Services ≥90% telecoms, water, power restored Economic growth Societ..., # Data from: Disaster recovery – evidence from 100 natural disasters   The following files are available for download: * 100_Disasters.xlsx * CRS_Disaster_Recovery_DB2.csv ### **100_Disasters.xlsx**  This file has nine worksheets. Data_030520         This is the data file with all fields as of 3 May 2020 Metrc_Definitions         Defines all the fields used in the data file Metric_Codes         Coding of all fields Countries         Economic type, based on World Bank data, and Economist Democracy Index         World Bank World Development Indicators [http://wdi.worldbank.org/table/4.2](http://wdi.worldbank.org/table/4.2) Economic type based on the proportion of Agricultural, Service and Industry GDP Manual-AI Comparison Speed of societal recovery, defined by time in years for ≥90% residents to return to permanent accommodation. Manual estimates produced by the research team from field study and desk work compared with AI estimates by ChatGPT based on an internet s...,

创建时间:
2026-01-10
二维码
社区交流群
二维码
科研交流群
商业服务