| contributor author | Nan Liu | |
| contributor author | Bo Huang | |
| contributor author | Magesh Chandramouli | |
| date accessioned | 2017-05-08T21:13:18Z | |
| date available | 2017-05-08T21:13:18Z | |
| date copyright | September 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%290887-3801%282006%2920%3A5%28361%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/43288 | |
| description abstract | Safety and emergency response are being given greater importance while planning infrastructure and transportation projects. This is particularly so, when transporting hazardous materials (HAZMAT) within a heavily urbanized area such as Singapore. The number and location of fire stations significantly influence the efficiency of emergency response during fire accidents. This paper presents an approach to suitably situating new fire stations, considering multiple objectives, using geographic information systems (GIS) and ANT, a novel Ant algorithm. The efficiency of the current fire station locations in covering HAZMAT transport routes is studied using a GIS. The ANT algorithm is implemented within a GIS environment to locate the additional fire stations so as to reduce the response time to an accident occurring on HAZMAT transport routes from | |
| publisher | American Society of Civil Engineers | |
| title | Optimal Siting of Fire Stations Using GIS and ANT Algorithm | |
| type | Journal Paper | |
| journal volume | 20 | |
| journal issue | 5 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(2006)20:5(361) | |
| tree | Journal of Computing in Civil Engineering:;2006:;Volume ( 020 ):;issue: 005 | |
| contenttype | Fulltext | |
