Locating emergency services with priority rules: The priority queuing covering location problem

One of the assumptions of the Capacitated Facility Location Problem (CFLP) is thatdemand is known and fixed. Most often, this is not the case when managers take somestrategic decisions such as locating facilities and assigning demand points to thosefacilities. In this paper we consider demand as stochastic and we model each of thefacilities as an independent queue. Stochastic models of manufacturing systems anddeterministic location models are put together in order to obtain a formula for thebacklogging probability at a potential facility location.Several solution techniques have been proposed to solve the CFLP. One of the mostrecently proposed heuristics, a Reactive Greedy Adaptive Search Procedure, isimplemented in order to solve the model formulated. We present some computationalexperiments in order to evaluate the heuristics performance and to illustrate the use ofthis new formulation for the CFLP. The paper finishes with a simple simulationexercise.

Locating emergency services with different priorities: The priority queuing covering location problem

Previous covering models for emergency service consider all the calls to be of the sameimportance and impose the same waiting time constraints independently of the service's priority.This type of constraint is clearly inappropriate in many contexts. For example, in urban medicalemergency services, calls that involve danger to human life deserve higher priority over calls formore routine incidents. A realistic model in such a context should allow prioritizing the calls forservice.In this paper a covering model which considers different priority levels is formulated andsolved. The model heritages its formulation from previous research on Maximum CoverageModels and incorporates results from Queuing Theory, in particular Priority Queuing. Theadditional complexity incorporated in the model justifies the use of a heuristic procedure.

Final Report of Emergency Services Interim Study Committee, February 2007

The Legislative Council established the Emergency Services Interim Study Committee in 2006 and authorized the Committee to meet for two days during the 2006 Legislative Interim. Upon request by the Committee, the Legislative Council subsequently approved a third meeting. The Committee was charged to study the governance, structure, and funding of the state's emergency services and available training for emergency services providers, and receive input from the Department of Public Defense's Division of Homeland Security and Emergency Management; Departments of Human Services, Public Health, and Public Safety, including the State Fire Marshal; and representatives of emergency services providers, including the Iowa Firemen's Association, Iowa Fire Chiefs' Association, Iowa Association of Professional Fire Chiefs, Iowa Professional Fire Fighters, Iowa Emergency Medical Services Association, and emergency room physicians.

Probabilistic maximal covering location-allocation models with constrained waiting time or queue length for congested systems

When dealing with the design of service networks, such as healthand EMS services, banking or distributed ticket selling services, thelocation of service centers has a strong influence on the congestion ateach of them, and consequently, on the quality of service. In this paper,several models are presented to consider service congestion. The firstmodel addresses the issue of the location of the least number of single--servercenters such that all the population is served within a standard distance,and nobody stands in line for a time longer than a given time--limit, or withmore than a predetermined number of other clients. We then formulateseveral maximal coverage models, with one or more servers per service center.A new heuristic is developed to solve the models and tested in a 30--nodesnetwork.

Audit report on Pleasantville Emergency Services Association, Pleasantville, Iowa for the year ended June 30, 2012

Audit report on Pleasantville Emergency Services Association, Pleasantville, Iowa for the year ended June 30, 2012

Accidents by external causes in adolescents: care in sentinel urgency and emergency services in the Brazilian State Capitals-2009

Adolescents are seeking new references and experiences, which may involve attitudes of risk and exposure to accidents and violence from external causes. These events constitute a serious Public Health problem. The scope of this study was to analyze the occurrence of accidents by external causes in adolescents from 10 to 19 years of age attended at sentinel urgency and emergency services in Brazil. Data from the 2009 Surveillance System for Violence and Accidents (VIVA 2009) was analyzed in 74 emergency units in 23 state capitals and the Federal District. The findings revealed that 6,434 adolescents (89.8%) were victims of accidents and 730 (10.2 %) were victims of violence. The main causes of the accidents were falls and traffic accidents, and assaults were predominant in violence. For both accidents and violence, non-white male adolescents were predominant and the events occurred most frequently on the public highways. A marked increase was detected, with hospitalization of victims of violence between 15 and 19 years of age. Understanding the epidemiological reality of external causes among adolescents represents an important tool for health prevention and promotion policies and the culture of peace seeking to reduce morbidity and mortality.

Emergency services in Illinois.

Cover title.

Illinois rape victims emergency treatment act and rules and regulations effective February, 1987 [and,] : title 77 : Public health, Chapter I : Department of Public Health, Subchapter f : Emergency Services and Highway Safety, Part 545 : The treatment of sexual assault.

Includes text of Rape Victims Emergency Treatment Act.

Increased use of emergency services by older people after health screening

Background: evaluation of the 'Keep Well At Home' (KWAH) Project in West London indicated that a programme of screening persons aged 75 and over had not reduced rates of emergency attendances and admissions to hospital. However, coverage of the target population was incomplete. The present analysis addresses 'efficacy'-whether individuals who completed the screening protocol as intended did subsequently use Accident & Emergency (A&E) services less often. Methods: the target population was divided into five groups, depending on whether an individual had completed none, one or both phases of screening, and whether deviations from the protocol related to incomplete coverage or refusal to participate further. We ascertained use of emergency services before screening and for up to 3 years afterwards by linkage of records from KWAH to those of local A&E Departments. Patterns of emergency care were examined as crude races and, via proportional hazards models, after adjustment for available confounders. Results: there was an increase of 51% (95% CI 22-86%) in the crude rate of emergency admissions in the year after first-phase screening compared with the 12 months before assessment. This was most obvious in individuals deemed at high risk who also underwent the second-phase assessment (adjusted hazard ratio relative to individuals not 'at risk'= 2.33; 95% CI 1.59-3.42). Conclusions: the available data do not allow us to distinguish between several possible explanations for the paradoxical increase in use of emergency services. However, what seem to be sensible policies do not necessarily have their intended effects when implemented in practice.

GIS and optimisation:potential benefits for emergency facility location in humanitarian logistics

Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disaster management. However, most of the contributions in the literature are using these systems for network analysis and display, with just a few papers exploiting the capabilities of GIS to improve planning and preparedness. To show the capabilities of GIS for disaster management, this paper uses raster GIS to analyse potential flooding scenarios and provide input to an optimisation model. The combination is applied to two real-world floods in Mexico to evaluate the value of incorporating GIS for disaster planning. The results provide evidence that including GIS analysis for a decision-making tool in disaster management can improve the outcome of disaster operations by reducing the number of facilities used at risk of flooding. Empirical results imply the importance of the integration of advanced remote sensing images and GIS for future systems in humanitarian logistics.

Between the centre and the margins: Services location, economic (re)structuring and quality of life in metropolitan periurban areas.

This paper aims to discuss the specificities of the role of services in the economic structuring and in the social liveliness and attractiveness of periurban areas. Drawing upon on the result of an empirical work developed in 5 different parishes of Lisbon Metropolitan area, which represent five categories of periurban spaces previously identified, it is analysed the role of services in these “in-between” territories and the way they are important in the spatial economic structuring of these areas and in the quality of life and well-being of their inhabitants and users. A tentative typology for framing the analysis of the role of services on periurban metropolitan spaces is suggested and some policy implications are pointed out.

The P-median problem in a changing network: The case of Barcelona

In this paper a p--median--like model is formulated to address theissue of locating new facilities when there is uncertainty. Severalpossible future scenarios with respect to demand and/or the travel times/distanceparameters are presented. The planner will want a strategy of positioning thatwill do as ``well as possible'' over the future scenarios. This paper presents a discrete location model formulation to address this P--Medianproblem under uncertainty. The model is applied to the location of firestations in Barcelona.