Preprints
https://doi.org/10.5194/nhess-2018-137
https://doi.org/10.5194/nhess-2018-137
16 Jul 2018
 | 16 Jul 2018
Status: this preprint was under review for the journal NHESS but the revision was not accepted.

Evaluating and analyzing the comprehensive community disaster reduction capability

Dajun Lian, Jin Zhu, Xinyu Wang, and Guangbin Li

Abstract. China currently faces the important task of strengthening its regional disaster reduction capabilities. Communities are basic components of urban areas, and ensuring that they participate in disaster reduction is important for urban safety. In this paper, in view of the imperfect evaluation criteria in the National demonstration community of comprehensive disaster reduction (NDCCDR), and according to the connotation of community comprehensive disaster reduction capability (CCDRC), we construct an index system to evaluate the CCDRC; the system is comprised of six primary evaluation indices that measure the ability to evaluate disaster risk, the ability to provide rescue and support, the presence of engineering defenses, the presence of social and economic base support, the ability to manage disasters, and the level of public cognitive ability. These six primary indices include 31 secondary indices. Because the index system is characterized by a small sample size, sparse information, and large spatial extent, for the index system, we evaluate CCDRC using the entropy-weighted grey target model and geographic information system (GIS) overlay analysis. According to the distribution status of NDCCDR, we take the Suzhou New District (SND) as a case study for the empirical measurements and calculations and use ArcMap 10.2 software to produce a map of the spatial distribution of CCDRC in this region. The results indicate that the area's CCDRC is relatively weak. The spatial distribution of CCDRC is uneven. However, the CCDRC in the region has a good foundation and it also has large potential for improvement. The results also show that all of the NDCCDR are in the forefront of the case area, but their CCDRC is unbalanced and their primary evaluation indices of CCDRC are also not balanced. Therefore, we propose that the construction of NDCCDR and CCDRC should be combined, from point to face, and ultimately to improve the overall level of CCDRC in the community.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Dajun Lian, Jin Zhu, Xinyu Wang, and Guangbin Li
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Dajun Lian, Jin Zhu, Xinyu Wang, and Guangbin Li
Dajun Lian, Jin Zhu, Xinyu Wang, and Guangbin Li

Viewed

Total article views: 952 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
622 272 58 952 122 69 71
  • HTML: 622
  • PDF: 272
  • XML: 58
  • Total: 952
  • Supplement: 122
  • BibTeX: 69
  • EndNote: 71
Views and downloads (calculated since 16 Jul 2018)
Cumulative views and downloads (calculated since 16 Jul 2018)

Viewed (geographical distribution)

Total article views: 904 (including HTML, PDF, and XML) Thereof 903 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Oct 2024
Download
Short summary
Community comprehensive disaster reduction capability is a community's ability to avoid or reduce natural disasters and other accidents. On the basis of an evaluating index system, using entropy-weighted grey target model and GIS analysis, we take the Suzhou New District as a case study for the empirical measurements and calculations. The results indicate that the area's CCDRC is relatively weak and spatially uneven, but has large potential for improvement. The method is world widely feasible.
Altmetrics