Simulation Modeling of Fire Station Locations under Traffic Obstacles
Facility location problem involves locating a facility
to optimize some performance measures. Location of a public facility
to serve the community, such as a fire station, significantly affects its
service quality. Main objective in locating a fire station is to
minimize the response time, which is the time duration between
receiving a call and reaching the place of incident. In metropolitan
areas, fire vehicles need to cross highways and other traffic obstacles
through some obstacle-overcoming points which delay the response
time. In this paper, fire station location problem is analyzed.
Simulation models are developed for the location problems which
involve obstacles. Particular case problems are analyzed and the
results are presented.
[1] Hogg, J. (1968) "Optimal Siting of Fire Stations", Operations Research.
Quarterly,19(3), pp. 275-287.
[2] Plane, D. R. and Hendric, T. E. (1977) "Mathematical Programming and
Location of Fire Companies for Denver Fire Department",
Operations Research, 25 (4), pp. 25-35.
[3] Badrim, A., Mortagy, A. K. and Alsayed, C. A. (1998) "A multiobjective
model for locating fire stations", European Journal of
Operational Research, 110(2), pp. 243-260.
[4] Minagawa, K. and Sumiyoshi, K. (2004) "Studies on the Optimal
Location of Retail Store Considering an Obstacle and Obstacle-
Overcoming Point", Industrial Engineering & Management Systems,
3(2), pp. 129-133.
[5] Liu, N., Huang, B., and Chandramouli, M. (2006) "Optimal Siting of
Fire Stations Using GIS and ANT Algorithm", Journal of Computing in
Civil Engineering, ASCE September/October.
[6] Yanga, L., Jonesb, B. F. and Yang, S. (2007) "A fuzzy multi-objective
programming for optimization of fire station locations through genetic
algorithms", European Journal of Operational Research, 181(2), pp.
903-915.
[7] Erden, T. and Coskun, M. (2010) "Multi-criteria site selection for fire
services: the interaction with analytic hierarchy process and geographic
information systems", Natural Hazards and Earth System Sciences,
10(2010), pp. 2127-2134
[8] Wei, Z. and Juncheng, J. (2012) "Research on the Location of Fire
Station Based on GIS and GA", Applied Mechanics and Materials, 130-
134, pp. 377-380.
[1] Hogg, J. (1968) "Optimal Siting of Fire Stations", Operations Research.
Quarterly,19(3), pp. 275-287.
[2] Plane, D. R. and Hendric, T. E. (1977) "Mathematical Programming and
Location of Fire Companies for Denver Fire Department",
Operations Research, 25 (4), pp. 25-35.
[3] Badrim, A., Mortagy, A. K. and Alsayed, C. A. (1998) "A multiobjective
model for locating fire stations", European Journal of
Operational Research, 110(2), pp. 243-260.
[4] Minagawa, K. and Sumiyoshi, K. (2004) "Studies on the Optimal
Location of Retail Store Considering an Obstacle and Obstacle-
Overcoming Point", Industrial Engineering & Management Systems,
3(2), pp. 129-133.
[5] Liu, N., Huang, B., and Chandramouli, M. (2006) "Optimal Siting of
Fire Stations Using GIS and ANT Algorithm", Journal of Computing in
Civil Engineering, ASCE September/October.
[6] Yanga, L., Jonesb, B. F. and Yang, S. (2007) "A fuzzy multi-objective
programming for optimization of fire station locations through genetic
algorithms", European Journal of Operational Research, 181(2), pp.
903-915.
[7] Erden, T. and Coskun, M. (2010) "Multi-criteria site selection for fire
services: the interaction with analytic hierarchy process and geographic
information systems", Natural Hazards and Earth System Sciences,
10(2010), pp. 2127-2134
[8] Wei, Z. and Juncheng, J. (2012) "Research on the Location of Fire
Station Based on GIS and GA", Applied Mechanics and Materials, 130-
134, pp. 377-380.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:54692", author = "Mehmet Savsar", title = "Simulation Modeling of Fire Station Locations under Traffic Obstacles", abstract = "Facility location problem involves locating a facility
to optimize some performance measures. Location of a public facility
to serve the community, such as a fire station, significantly affects its
service quality. Main objective in locating a fire station is to
minimize the response time, which is the time duration between
receiving a call and reaching the place of incident. In metropolitan
areas, fire vehicles need to cross highways and other traffic obstacles
through some obstacle-overcoming points which delay the response
time. In this paper, fire station location problem is analyzed.
Simulation models are developed for the location problems which
involve obstacles. Particular case problems are analyzed and the
results are presented.", keywords = "Public Facility Location, Fire Stations, Response Time, Fire Vehicle Delays.", volume = "7", number = "1", pages = "16-6", }