The purpose of this study was to analyze the location of an emergency facility location within a town based on given information from the village and to use the results to determine the optimal location for an emergency facility. A model of the problem was developed using a spreadsheet and computer program to record and analyze the optimal response time based on different locations of emergency facilities. Assumptions were made to create situations easily computed through spreadsheet and computer programs. Once calculated, information was used to create a framework of demand density across a gridded map. Once the computer program was updated to use the large amount of data, results were obtained. Based on data and modeling, the current location of emergency facility was not located in the most opportune locations and another location was deemed better suited for serving the community.
","abstract_html":"<p>The purpose of this study was to analyze the location of an emergency facility location within a town based on given information from the village and to use the results to determine the optimal location for an emergency facility. A model of the problem was developed using a spreadsheet and computer program to record and analyze the optimal response time based on different locations of emergency facilities. Assumptions were made to create situations easily computed through spreadsheet and computer programs. Once calculated, information was used to create a framework of demand density across a gridded map. Once the computer program was updated to use the large amount of data, results were obtained. Based on data and modeling, the current location of emergency facility was not located in the most opportune locations and another location was deemed better suited for serving the community.</p>","abstract_has_math":false,"creators":["Csoke, Meghan E."],"institution":null,"degree_name":"Master of Science","degree_level":"Thesis","degree_discipline":"Mathematics","degree_department":null,"school":null,"contributors":["Chris Tweddle, Ph.D.","Dianna Galante, Ph.D.","Andrius Tamulis, Ph.D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-01T07:00:00Z","date_published":"2015-07-01T07:00:00Z","updated_at":"2026-07-24T02:24:36Z","subjects":["Fire Department","Public Safety","Emergency Response Planning","Emergency and Disaster Management","Mathematics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://opus.govst.edu/theses/63","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chris Tweddle, Ph.D.","Dianna Galante, Ph.D.","Andrius Tamulis, Ph.D."]},{"key":"dc:creator","label":"Author","values":["Csoke, Meghan E."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2015-08-31T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mathematics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Fire Department","Public Safety","Emergency Response Planning","Emergency and Disaster Management","Mathematics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://opus.govst.edu/theses/63"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The purpose of this study was to analyze the location of an emergency facility location within a town based on given information from the village and to use the results to determine the optimal location for an emergency facility. A model of the problem was developed using a spreadsheet and computer program to record and analyze the optimal response time based on different locations of emergency facilities. Assumptions were made to create situations easily computed through spreadsheet and computer programs. Once calculated, information was used to create a framework of demand density across a gridded map. Once the computer program was updated to use the large amount of data, results were obtained. Based on data and modeling, the current location of emergency facility was not located in the most opportune locations and another location was deemed better suited for serving the community.
"]},{"key":"dc:title","label":"Title","values":["The Facility Location Problem"]}]}],"canonical_facts":{"dc:contributor":["Chris Tweddle, Ph.D.","Dianna Galante, Ph.D.","Andrius Tamulis, Ph.D."],"dc:creator":["Csoke, Meghan E."],"dc:date.available":["2015-08-31T07:00:00Z"],"dc:description.abstract":["The purpose of this study was to analyze the location of an emergency facility location within a town based on given information from the village and to use the results to determine the optimal location for an emergency facility. A model of the problem was developed using a spreadsheet and computer program to record and analyze the optimal response time based on different locations of emergency facilities. Assumptions were made to create situations easily computed through spreadsheet and computer programs. Once calculated, information was used to create a framework of demand density across a gridded map. Once the computer program was updated to use the large amount of data, results were obtained. Based on data and modeling, the current location of emergency facility was not located in the most opportune locations and another location was deemed better suited for serving the community.
"],"dc:identifier":["https://opus.govst.edu/theses/63"],"dc:subject":["Fire Department","Public Safety","Emergency Response Planning","Emergency and Disaster Management","Mathematics"],"dc:title":["The Facility Location Problem"],"thesis:degree_discipline":["Mathematics"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science"]},"updated_at":"2026-07-24T02:24:36Z"}