dc.contributor.author |
Green, Chéri A
|
|
dc.contributor.author |
Mans, Gerbrand G
|
|
dc.contributor.author |
Schmitz, P
|
|
dc.contributor.author |
McKelly, D
|
|
dc.contributor.author |
Te Water, M
|
|
dc.date.accessioned |
2015-11-20T12:13:48Z |
|
dc.date.available |
2015-11-20T12:13:48Z |
|
dc.date.issued |
2014-05 |
|
dc.identifier.citation |
Green, CA, Mans, G, Schmitz, P, McKelly, D and Te Water, M. 2014. Planning for emergency services using GIS-based geographic accessibility analysis. Town and Regional Planning, vol. 64, pp 53-64. |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/8294
|
|
dc.description |
Copyright: 2014 University of the Free State |
en_US |
dc.description.abstract |
Municipalities and metropolitan structures are required by law to provide sufficient response to emergency situations. In order to respond efficiently to disasters such as fire and flooding, it is necessary to place facilities optimally. This case study presents and applies a methodology to determine the locations of additional fire stations, using accessibility analysis rather than incident data which is often incomplete or unavailable. The required response time is based on the SANS 10090:2003 standard for various risks. The case study recommends that in the longer term seven additional fire stations are needed in conjunction with the existing 19 fire stations in the eThekwini Metro in South Africa to offer a response to fire incidents as required by the standard. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of the Free State (UoFS) |
en_US |
dc.relation.ispartofseries |
Worklist;14691 |
|
dc.subject |
Municipalities |
en_US |
dc.subject |
Metropolitan structures |
en_US |
dc.subject |
Fire |
en_US |
dc.subject |
Flooding |
en_US |
dc.subject |
Disaster prevention |
en_US |
dc.subject |
Emergency situations |
en_US |
dc.subject |
Environmental risks |
en_US |
dc.subject |
SANS 10090:2003 standard |
en_US |
dc.title |
Planning for emergency services using GIS-based geographic accessibility analysis |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Green, C. A., Mans, G. G., Schmitz, P., McKelly, D., & Te Water, M. (2014). Planning for emergency services using GIS-based geographic accessibility analysis. http://hdl.handle.net/10204/8294 |
en_ZA |
dc.identifier.chicagocitation |
Green, Cheri A, Gerbrand G Mans, P Schmitz, D McKelly, and M Te Water "Planning for emergency services using GIS-based geographic accessibility analysis." (2014) http://hdl.handle.net/10204/8294 |
en_ZA |
dc.identifier.vancouvercitation |
Green CA, Mans GG, Schmitz P, McKelly D, Te Water M. Planning for emergency services using GIS-based geographic accessibility analysis. 2014; http://hdl.handle.net/10204/8294. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Green, Cheri A
AU - Mans, Gerbrand G
AU - Schmitz, P
AU - McKelly, D
AU - Te Water, M
AB - Municipalities and metropolitan structures are required by law to provide sufficient response to emergency situations. In order to respond efficiently to disasters such as fire and flooding, it is necessary to place facilities optimally. This case study presents and applies a methodology to determine the locations of additional fire stations, using accessibility analysis rather than incident data which is often incomplete or unavailable. The required response time is based on the SANS 10090:2003 standard for various risks. The case study recommends that in the longer term seven additional fire stations are needed in conjunction with the existing 19 fire stations in the eThekwini Metro in South Africa to offer a response to fire incidents as required by the standard.
DA - 2014-05
DB - ResearchSpace
DP - CSIR
KW - Municipalities
KW - Metropolitan structures
KW - Fire
KW - Flooding
KW - Disaster prevention
KW - Emergency situations
KW - Environmental risks
KW - SANS 10090:2003 standard
LK - https://researchspace.csir.co.za
PY - 2014
T1 - Planning for emergency services using GIS-based geographic accessibility analysis
TI - Planning for emergency services using GIS-based geographic accessibility analysis
UR - http://hdl.handle.net/10204/8294
ER - |
en_ZA |