{"title":"孟加拉国社区复原力的社会人口诱导社会资本","authors":"Jannatun Hussna Tuya, Khandakar Hasan Mahmud","doi":"10.1002/geo2.137","DOIUrl":null,"url":null,"abstract":"<p>Being a deltaic country and for its geographic location, Bangladesh faces devastating damages every year. In a new global index, Bangladesh has been ranked 7th among the countries most affected by extreme weather events in 20 years since 1998. The ability of a community to recover from a disaster is very much associated with strong social connections. For this research, both secondary and primary data sources have been considered. Socio-demographic characteristics have been identified from a community-based general questionnaire and BBS. Also, a newly developed integrated method has been used to measure the social capital of the community. Several statistical methods were used to analyse the data, such as factor analysis (PCA), ROC curve analysis and several GIS techniques, throughout the research. Results show that significant socio-demographic variables help to develop a specific type of social capital. Consequently, social capital indirectly works as a key for recovering from any disaster impact and could build resilience to hazards.</p>","PeriodicalId":44089,"journal":{"name":"Geo-Geography and Environment","volume":"11 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/geo2.137","citationCount":"0","resultStr":"{\"title\":\"Socio-demography induced social capital for community resilience in Bangladesh\",\"authors\":\"Jannatun Hussna Tuya, Khandakar Hasan Mahmud\",\"doi\":\"10.1002/geo2.137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Being a deltaic country and for its geographic location, Bangladesh faces devastating damages every year. In a new global index, Bangladesh has been ranked 7th among the countries most affected by extreme weather events in 20 years since 1998. The ability of a community to recover from a disaster is very much associated with strong social connections. For this research, both secondary and primary data sources have been considered. Socio-demographic characteristics have been identified from a community-based general questionnaire and BBS. Also, a newly developed integrated method has been used to measure the social capital of the community. Several statistical methods were used to analyse the data, such as factor analysis (PCA), ROC curve analysis and several GIS techniques, throughout the research. Results show that significant socio-demographic variables help to develop a specific type of social capital. Consequently, social capital indirectly works as a key for recovering from any disaster impact and could build resilience to hazards.</p>\",\"PeriodicalId\":44089,\"journal\":{\"name\":\"Geo-Geography and Environment\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/geo2.137\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geo-Geography and Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/geo2.137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geo-Geography and Environment","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/geo2.137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Socio-demography induced social capital for community resilience in Bangladesh
Being a deltaic country and for its geographic location, Bangladesh faces devastating damages every year. In a new global index, Bangladesh has been ranked 7th among the countries most affected by extreme weather events in 20 years since 1998. The ability of a community to recover from a disaster is very much associated with strong social connections. For this research, both secondary and primary data sources have been considered. Socio-demographic characteristics have been identified from a community-based general questionnaire and BBS. Also, a newly developed integrated method has been used to measure the social capital of the community. Several statistical methods were used to analyse the data, such as factor analysis (PCA), ROC curve analysis and several GIS techniques, throughout the research. Results show that significant socio-demographic variables help to develop a specific type of social capital. Consequently, social capital indirectly works as a key for recovering from any disaster impact and could build resilience to hazards.
期刊介绍:
Geo is a fully open access international journal publishing original articles from across the spectrum of geographical and environmental research. Geo welcomes submissions which make a significant contribution to one or more of the journal’s aims. These are to: • encompass the breadth of geographical, environmental and related research, based on original scholarship in the sciences, social sciences and humanities; • bring new understanding to and enhance communication between geographical research agendas, including human-environment interactions, global North-South relations and academic-policy exchange; • advance spatial research and address the importance of geographical enquiry to the understanding of, and action about, contemporary issues; • foster methodological development, including collaborative forms of knowledge production, interdisciplinary approaches and the innovative use of quantitative and/or qualitative data sets; • publish research articles, review papers, data and digital humanities papers, and commentaries which are of international significance.