1 to 10 of 10 Results
Nov 23, 2022
Aldrich, Daniel, 2022, "Replication Data for: How Social Infrastructure Saves Lives: A Quantitative Analysis of Japan’s 3/11 Disasters", https://doi.org/10.7910/DVN/YA0EYS, Harvard Dataverse, V1, UNF:6:fe9B3jEgPRcE25dCykAt6g== [fileUNF]
Observers have long debated how societies should invest resources to safeguard citizens and property, especially in the face of increasing shocks and crises. This article explores how social infrastructure -the spaces and places that help build and maintain social ties and trust, allowing societies to coordinate behavior -plays an important role in... |
Dec 20, 2020
Aldrich, Daniel; Schulz, Eric, 2020, "Brewing Social Capital: A Survey of Breweries and Social Ties across the United States", https://doi.org/10.7910/DVN/CCQM3Z, Harvard Dataverse, V1
As research continues to illustrate the important role social capital plays in mitigating disasters and promoting resilience, this study conducted across 144 breweries in 33 states collected data on how these institutions are promoting social capital within their communities. Taking a hyper-local approach and drawing on similar studies, the survey... |
Aldrich, Daniel; Balcioglu, Zeynep; Fraser, Timothy; Lee, Juheon; Marion, Summer; Page-Tan, Courtney, 2020, "COVID-19 Community Assessment Survey", https://doi.org/10.7910/DVN/JLXBEA, Harvard Dataverse, V1
The primary aim of this study is to understand the relationships between social ties and COVID-19 infection and mortality rates. We are fielding this survey in six neighborhoods in New York City and Boston. We hypothesize that alongside age, underlying conditions, and other demographic vulnerability factors, social ties are a key predictor of how i... |
Feb 27, 2020
Aldrich, Daniel; Kyne, Dean, 2020, "Replication Data for: Capturing Bonding, Bridging, and Linking Social Capital through Publicly Available Data", https://doi.org/10.7910/DVN/IUNNZM, Harvard Dataverse, V1, UNF:6:Q091LT07QSBN2qcFIZOKLg== [fileUNF]
A growing body of research has illuminated the powerful role played by social capital in influencing disaster and resilience outcomes. Popular vulnerability mapping frameworks, while well suited for capturing demographic characteristics such as age, race, and wealth, do not include sufficient proxies for social capital. This article proposes a conc... |
Jul 21, 2019
Aldrich, Daniel, 2019, "Replication Data for: Aldrich, Daniel P. (2015). It's Who you Know: Factors Driving Recovery from Japan's 11 March 2011 Disaster", https://doi.org/10.7910/DVN/KKYHMZ, Harvard Dataverse, V1, UNF:6:bTtFEFzc5hOxFf+VGaXbBw== [fileUNF]
The 11 March 2011 Great East Japan Earthquake affected dozens of coastal communities along the shore of Japan’s Tohoku region. Following the earthquake, tsunami and nuclear meltdowns, utilities, businesses and schools in some towns have bounced back to pre-disaster capacity while other municipalities have lagged behind. The question of which factor... |
Jul 21, 2019
Aldrich, Daniel, 2019, "Replication Data for: Aldrich, Daniel P. and Sawada, Yasuyuki. 2015. The physical and social determinants of mortality in the 3.11 tsunami. Social Science and Medicine", https://doi.org/10.7910/DVN/AYWRWO, Harvard Dataverse, V1, UNF:6:m9NcFTHsKBgEYAO57Wdqtw== [fileUNF]
The human consequences of the 3.11 tsunami were not distributed equally across the municipalities of the Tohoku region of northeastern Japan. Instead, the mortality rate from the massive waves varied tremendously from zero to ten percent of the local residential population. What accounts for this variation remains a critical question for researcher... |
Aldrich, Daniel; Berndt, Eric, 2016, "Replication Data for: Power to the People or Regulatory Ratcheting? Explaining the Success (or Failure) of Attempts to Site Commercial U.S. Nuclear Power Plants: 1954-1996", https://doi.org/10.7910/DVN/RI8VMG, Harvard Dataverse, V1, UNF:6:dTeDBFNNe8yS/pG7TIxaCA== [fileUNF]
Between 1954 and 1996, more than 200 nuclear power projects were publicly announced in the USA. Barely half of these projects were completed and generated power commercially. Existing research has highlighted a number of potential explanations for the varying siting outcomes of these projects, including contentious political protest, socioeconomic,... |
Aldrich, Daniel P, 2012, "Replication data for: Time-series, cross-sectional dataset on police jurisdictions in Tokyo, Japan from 1922 until 1933", https://doi.org/10.7910/DVN/CNPQRS, Harvard Dataverse, V1
The purpose of this study, Time-series, cross-sectional dataset on police jurisdictions in Tokyo, Japan from 1922 until 1933, is to understand the conditions immediately before and after the 1923 Great Tokyo Earthquake. The earthquake took place on 1 September 1923 and killed at least 100,000 people (although some estimates range above 150,000). Th... |
Daniel P. Aldrich, 2007, "Controversial Facilities in Japan, 1955 - 1995", https://doi.org/10.7910/DVN/FICLRD, Harvard Dataverse, V3, UNF:3:cns/JJFA88k8vJJLMmPx7A== [fileUNF]
The purpose of this study, Controversial Facilities in Japan, 1955 – 1995, is to understand the factors which lead decision-makers and authorities in Japan to select localities as host communities for often-unwanted and controversial facilities such as nuclear power plants, dams, and airports. Such projects regularly cause Not In My Back Yard, or N... |
Daniel P. Aldrich; Kevin Crook, 2008, "Proposed Locations for FEMA Trailers in Post-Katrina New Orleans, 2005 - 2006", https://doi.org/10.7910/DVN/V8RDSK, Harvard Dataverse, V1, UNF:3:SToouqlWCgvXV6GgpyeU6Q== [fileUNF]
The purpose of this study, Proposed Locations for FEMA Trailers in Post-Katrina New Orleans, 2005-2006, is to understand the factors affecting decision makers who sought to place travel trailers in the New Orleans, LA area post-Hurricane Katrina. This data set captures the number of temporary trailers and temporary trailer sites per zip code that w... |
