Anna Matsukawa, Shingo Nagamatsu, Rika Ohtsuka, Haruo Hayashi
International Journal of Disaster Risk Reduction 107 2024年6月 査読有り筆頭著者
This study proposes a scale that measures the disaster resilience of individuals as members of a disaster-resilient society. We constructed the Disaster Resilience Scale for Individuals (DRSi) by using the survey data of 10,000 individuals across Japan, and extracting 8 factors from 24 items. The verification process shows that DRSi scores differ based on the respondents’ gender and area of residence, thus reflecting the impact of gender-based division of roles in Japan, and region-specific disaster experiences. We also propose a short version of the DRSi for the convenience of data collection. Furthermore, DRSi is expected to work as an effective tool for measuring resilience at the individual level to evaluate the impact of an intervention on a local community.
This study aims to explore the elements necessary to solve the problem of shelter quality in disaster-affected areas in Japan. The researchers identified twelve positive deviant good practice evacuation shelter management cases from four significant disasters over the past ten years. Interviews with twelve leaders were transcribed. Three disaster researchers from sociology, public health, and architectural backgrounds as well as two crisis management practitioners independently extracted key terms from the same transcript. Through the Affinity Diagram method, eight mutually exclusive super-conceptual clusters emerged. Five out of eight super-clusters corresponded with areas that were prescribed by the National government-issued Evacuation Shelter Management Guideline. Three unique super-clusters also appeared to be characteristic of the competent shelter operation.
In this study, we use this open data to examine the actual situation of crime in the disaster area. The disaster of interest is the Typhoon Faxai in 2019, and the area of interest is limited to Chiba Prefecture. The typhoon caused power outages in many areas of Chiba Prefecture. The purpose of this study is to examine the impact of power outages on crime using official crime incidence data. The data used in this study are 1) property crime data, 2) the population data of Chiba Prefecture in April 2019, and 3) power outage data. Repeated measures analysis of variance was conducted with the presence of power outages as the main factor. This analysis confirmed the effect of power outage in deterring the occurrence of crime.
The purpose of this paper is examination and improvement of causal model of relationship between social capital and community crime prevention. We use the data of Kobe city self-govening and management unions fundamental survay in 2007, 2008 and 2010 and 2009 A Survey of 10,000 residents. More stabled model can be constructed by using data of multi years.
The purpose of this paper is examination of the data of Kobe city self-govening and management unions fundamental survay in 2007, 2008 and 2010 can be used as one unified data by using simultaneous analysis of several groups. If it is possible to use it by unifying data, besomes possible to constructing more generalized cause and effect model of social capital and crime prevention in community by using data with high stability.
The purpose of this study is verifying the generality of the analytical method of previous studies about social capital and community safety. Those previous studies used data from people who community-conscious. This study use data of "A Survey of 10,000 residents" by Kobe city. By using this data, this study verify the previous studies method have enough generality.
Both environmental factor and social factor are effective for crime prevention. However, there is not so much empirical study of environmental factor. This study. clarifies how both environmental factor and the social factor concretely influence a safe community safety by using GIS.