Optimizing Fire Station Locations for the Istanbul Metropolitan Municipality

Published Online:https://doi.org/10.1287/inte.1120.0671

References

  • Alsalloum OI, Rand GK. (2006) Extensions to emergency vehicle location models. Comput. Oper. Res.33(9):2725–2743.CrossrefGoogle Scholar
  • Araz C, Selim H, Ozkarahan I. (2007) A fuzzy multi-objective covering-based vehicle location model for emergency services. Comput. Oper. Res.34(3):705–726.CrossrefGoogle Scholar
  • Badri MA, Mortagy AK, Colonel AA. (1998) A multiobjective model for locating fire stations. Eur. J. Oper. Res.110(2):243–260.CrossrefGoogle Scholar
  • Brandeau ML, Chiu SS. (1989) An overview of representative problems in location research. Management Sci.35(6):645–674.LinkGoogle Scholar
  • Catay B, Basar A, Unluyurt T. (2008) Istanbul’da acil yardım istasyonlarının yerlerinin planlanması (Planning of emergency response station locations in Istanbul). Endüstri Mühendisliği Dergisi19(4):20–35.Google Scholar
  • Cheung BKS, Langevin A, Villeneuve B. (2001) High-performing evolutionary techniques for solving complex location problems in industrial system design. J. Intelligent Manufacturing12(5–6) :455–466.CrossrefGoogle Scholar
  • Church RL. (2002) Geographical information systems and location science. Comput. Oper. Res.29(6):541–562.CrossrefGoogle Scholar
  • Church RL, ReVelle C. (1974) The maximal covering location problem. Papers Regional Sci. Assoc.32(1):101–118.CrossrefGoogle Scholar
  • Connally E, Hughes-Hallett D, Gleason AM, Davidian A. (1998) Functions Modeling Change: A Preparation for Calculus (John Wiley & Sons, New York).Google Scholar
  • Daskin MS, Hogan K, ReVelle C. (1988) Integration of multiple, excess, backup, and expected covering models. Environ. Planning B: Planning Design15(1):15–35.CrossrefGoogle Scholar
  • Diwekar U. (2003) Introduction to Applied Optimization (Kluwer, Norwell, MA).CrossrefGoogle Scholar
  • Dobson J. (1979) A regional screening procedure for land use suitability analysis. Geographical Rev.69(2):224–234.CrossrefGoogle Scholar
  • Doeksen G, Oehrtman R. (1976) Optimum locations for a rural fire system: A study of a major county in Oklahoma. Southern J. Agricultural Econom.12(1):121–127.CrossrefGoogle Scholar
  • Drezner Z. (1995) Facility Location: A Survey of Applications and Methods (Springer, New York).CrossrefGoogle Scholar
  • Drezner Z, Hamacher HW. (2002) Facility Location: Application and Theory (Springer, Berlin).CrossrefGoogle Scholar
  • Garey MR, Johnson DS. (1979) Computers and Intractability: A Guide to the Theory of NP-Completeness (W. H. Freeman, New York).Google Scholar
  • George MV, Smith SK, Swanson DA, Tayman J. (2004) Population projections. , Siegel J, Swanson D, eds. The Methods and Materials of Demography (Elsevier Academic Press, San Diego), 561–601.Google Scholar
  • Goldberg JB. (2004) Operations research models for the deployment of emergency services vehicles. EMS Management J.1(1):20–39.Google Scholar
  • Gormez N, Koksalan M, Salman FS. (2011) Locating disaster response facilities in Istanbul. J. Oper. Res. Soc.62(7):1239–1252.CrossrefGoogle Scholar
  • Hale TS, Moberg CR. (2003) Location science research: A review. Ann. Oper. Res.123(1–4):21–35.CrossrefGoogle Scholar
  • Hogan K, ReVelle C. (1986) Concepts and applications of backup coverage. Management Sci.32(11):1434–1444.LinkGoogle Scholar
  • Karasakal O, Karasakal EK. (2004) A maximal covering location model in the presence of partial coverage. Comput. Oper. Res.31(9):1515–1526.CrossrefGoogle Scholar
  • Larson RC. (1974) A hypercube queuing model for facility location and redistricting in urban emergency services. Comput. Oper. Res.1(1):67–95.CrossrefGoogle Scholar
  • Liu N, Huang B, Chandramouli M. , (2006) Optimal siting of fire stations using GIS and ANT algorithms. J. Comput. Civil Engrg.20(5):361–369.CrossrefGoogle Scholar
  • Madrigal A. (2009) Istanbul opens world’s largest earthquake-safe building. . Accessed July 9, 2011, http://www.wired.com/wiredscience/2009/11/worlds-largest-earthquake-safe-building/.Google Scholar
  • Marianov V, ReVelle C. (1995) Siting of emergency services. , Drezner Z, ed. Facility Location: A Survey of Applications and Methods (Springer Verlag, New York), 199–223.CrossrefGoogle Scholar
  • Moore GC, ReVelle C. (1982) The hierarchical service location problem. Management Sci.28(7):775–780.LinkGoogle Scholar
  • National Fire Protection Association (2011) NFPA 1710: Standard for the organization and deployment of fire suppression operations, emergency medical operations, and special operations to the public by career fire departments, 2010 ed.. . National Fire Protection Association, Avon, MA.Google Scholar
  • Nemhauser GL, Wolsey LA. (1999) Integer and Combinatorial Optimization (John Wiley & Sons, New York).Google Scholar
  • Owen SH, Daskin MS. (1998) Strategic facility location: A review. Eur. J. Oper. Res.111(3):423–447.CrossrefGoogle Scholar
  • Plane DR, Hendrick TE. (1977) Mathematical programming and the location of fire companies for the Denver Fire Department. Oper. Res.25(4):563–578.LinkGoogle Scholar
  • ReVelle C, Hogan K. (1988) A reliability-constrained siting model with local estimates of busy fractions. Environ. Planning B: Planning Design15(2):143–152.CrossrefGoogle Scholar
  • ReVelle C, Schweitzer J, Snyder S. (1996) The maximal conditional covering problem. INFOR34(2):77–91.Google Scholar
  • ReVelle CS, Williams JC, Boland JJ. (2002) Counterpart models in facility location science and reserve selection science. Environment. Modeling Assessment7(2):71–80.CrossrefGoogle Scholar
  • Sahin G, Sural H. (2007) A review of hierarchical facility location models. Comput. Oper. Res.34(8):2310–2331.CrossrefGoogle Scholar
  • Salhi S, Gamal MDH. (2003) A genetic algorithm-based approach for the uncapacitated continuous location problem. Ann. Oper. Res.123(1–4) :203–222.CrossrefGoogle Scholar
  • Schilling D. (1982) Strategic facility planning: The analysis of options. Decision Sci.13(1):1–4.CrossrefGoogle Scholar
  • Sorensen P, Church R. (2010) Integrating expected coverage and local reliability for emergency medical service location problems. Socio-Economic Planning Sci.44(1):8–18.CrossrefGoogle Scholar
  • Swersey AJ. (1994) The deployment of police, fire, and emergency medical units. , Pollock SM, Rothkopf MH, Barnett A, eds. Operations Research and the Public Sector, Handbooks in Operations Research and Management Science, 6 (Elsevier Science, New York), 151–190.CrossrefGoogle Scholar
  • Tayman J, Parrott B, Carnevale S. (1994) Locating fire station sites: The response time component. , Kintner HJ, Voss PR, Morrison PA, Merrick TW, eds. Applied Demographics: A Casebook for Business and Government (Westview Press, Boulder, CO), 203–217.Google Scholar
  • Toregas C, ReVelle C. (1973) Binary logic solutions to a class of location problem. Geographical Anal.5(2):145–155.CrossrefGoogle Scholar
  • Toregas C, Swain R, ReVelle C, Bergman L. (1971) The location of emergency service facilities. Oper. Res.19(6):1363–1373.LinkGoogle Scholar
  • TURKSTAT (2011) Population statistics, National Statistics Institute of Turkey. . Accessed July 2, 2011, http://www.tuik.gov.tr/PreHaberBultenleri.do?id=8428&tb_id=1.Google Scholar
  • Tzeng GH, Chen YW. (1999) The optimal location of airport fire stations: A fuzzy multi-objective programming and revised genetic algorithm approach. Transportation Planning Tech.23(1):37–55.CrossrefGoogle Scholar
  • UNESCO (2010) Historic areas of Istanbul. . Accessed February 2, 2010, http://whc.unesco.org/en/list/356.Google Scholar
  • Valinski D. (1955) A determination of the optimum location of fire-fighting units in New York City. J. Oper. Res. Soc. America3(4):494–512.LinkGoogle Scholar
  • Williams HP. (1999) Model Building in Mathematical Programming (John Wiley & Sons, New York).Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.