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Monday, July 27, 2020 | History

3 edition of hypercube queuing model for facility location and redistricting in urban emergency services. found in the catalog.

hypercube queuing model for facility location and redistricting in urban emergency services.

Richard C. Larson

hypercube queuing model for facility location and redistricting in urban emergency services.

by Richard C. Larson

  • 335 Want to read
  • 31 Currently reading

Published by New York City Rand Institute in New York .
Written in English

    Subjects:
  • Municipal services -- Location -- Mathematical models.,
  • Emergency transportation -- Mathematical models.

  • Edition Notes

    Includes bibliographical references.

    StatementPrepared for the Dept. of Housing and Urban Development [by] Richard C. Larson.
    ContributionsUnited States. Dept. of Housing and Urban Development.
    Classifications
    LC ClassificationsAS36 .R3 R-1238, HD4431 .R3 R-1238
    The Physical Object
    Paginationviii, 52 p.
    Number of Pages52
    ID Numbers
    Open LibraryOL4207139M
    LC Control Number80486438

      A hypercube queuing model for facilit y location and redistricting in urban emergency services [J ]. Computers and Operations Re2 search, , (1): [ 20 ] Brandeau  › 百度文库 › 互联网.   城市地铁火灾专用消防车空间配置优化研究 彭向 1, 伏紫妍 2, 张勇 3 1. 苏州大学 东吴商学院, 苏州 ; 2. 苏州工业园区测绘地理信息有限公司 智能交通事业部, 苏州 ;

    The plan of the paper is as follows. The hypercube model, used in this paper for the analysis of EMSs, is the subject of Section 2, while the solution of this model is briefly treated in Section 3. Probabilistic location models for planning ESSs are analyzed in Section 4. Models based on simplifying assumptions are shown in some detail and then A hypercube queuing model for facility location and redistricting in urban emergency services. RC Larson. Computers & Operations Research 1 (1), , OR forum—perspectives on queues: Social justice and the psychology of queueing. RC Larson. Operations research 35 ?user=tyL7wKIAAAAJ&hl=en.

      Work on emergency vehicle dispatching has generally involved the use of three approaches: queuing, mathe-matical programming, and dynamic programming (DP). Among studies using queuing methods, Larson [2,3] used a hypercube queuing model as a tool for facility location and redistricting in urban emergency services. Yet the {5} Larson RC. A hypercube queuing model for facility location and redistricting in urban emergency services. Computers and Operations Research ; Google Scholar {6} Larson RC. Approximating the performance of urban emergency service systems. Operations Research ; Google Scholar {7} Burwell TH, Jarvis JP, McKnew ://(03)


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Hypercube queuing model for facility location and redistricting in urban emergency services by Richard C. Larson Download PDF EPUB FB2

A HYPERCUBE QUEUING MODEL FOR FACILITY LOCATION AND REDISTRICTING IN URBAN EMERGENCY SERVICES RICHARD C. LARSON* M.I.T., Cambridge, Mass., U.S.A.

Scope and purposehis paper deals with certain spatially-oriented resource allocation problems experienced by police, fire, emergency medical, and other spatially distributed emergency service :// A hypercube queuing model for facility location and redistricting in urban emergency services efficient algorithms for studying the analytical behavior of a multi-server queuing system with distinguishable servers.

The model is intended for analyzing problems of vehicle location and response district design in urban emergency services A hypercube queuing model for facility location and redistricting in urban emergency services Article (PDF Available) in Computers & Operations Research 1(1) March with Reads A spatially distributed queueing model is developed to assist administrators of urban emergency services in locating vehicles and designing response districts.

Computationally efficient algorithms are given that permit numerical evaluation of the performance characteristics of systems having up to 12 emergency Get this from a library. A hypercube queuing model for facility location and redistricting in urban emergency services.

[Richard C Larson; Rand Corporation.; United States. Department of Housing and Urban Development.; New York City-Rand Institute.] A hypercube queuing model for facility location and redistricting in urban emergency services Longitudinal course and predictors of continuing distress following critical incident exposure in emergency services   The model is intended for analyzing problems of vehicle location and response district design in urban emergency services, includes interdistrict as well as intradistrict responses, and allows In: Management science and the delivery of urban services, edited by A.

SWERSEY & E. INGALL. TIMS Studies in the Management Science, North-Holland, Elsevier [ Links ] [26] LARSON RC. A hypercube queuing model for facility location and redistricting in urbanemergency services.

Computers & Operations Research, 1: ?script=sci_arttext&pid=S The hypercube queueing model was developed in the late s and early s, a period driven by a national commitment to devote scientific energies to the USA's urban ills. The initial application focus for the model was the deployment of urban police patrol :// Karasakal O, Karasakal EK () A maximal covering location model in the presence of partial coverage.

Comput. Oper. Res. 31(9)– Larson RC () A hypercube queuing model for facility location and redistricting in urban emergency services. Comput. Oper. Res. 1(1)–   The model considers the hypercube queuing equilibrium and correlation mechanism between the main station and the vice station of satellite fire stations in emergency services, and maximize the gradual coverage of the vehicle locating and dispatching   location matters, see Larson, Richard C, “A Hypercube Queuing Model for Facility Location and Redistricting in Urban Emergency Services,” Computers and Operations Research, 1(1), and Larson, Richard C., “Approximating the Perf ormance of Urban Emergency Service Systems,” Operations Research, 23(5), (Sept-Oct ), ?article=&context=econ_wpapers.

A hypercube queuing model for facility location and redistricting in urban emergency services A tabu search heuristic and adaptive memory procedure for political districting Old Voters, New Voters, and the Personal Vote: Using Redistricting to Measure the Incumbency Advantage Hypercube queuing model for facility location and redistricting in urban emergency services.

Computers & Operations Research, 1, 67– CrossRef Google Scholar One of a series of reports describing the Hypercube Queuing Model, a computer program that calculates selected performance measures of emergency service systems (police, fire, and medical).

This report comprises a listing of the computer program, along with brief instructions for its use and addresses from which the program itself can be :// A Hypercube Queuing Model for Facility Location and Redistricting in Urban Emergency Services", ().

A Lagrangean heuristic for the maximal covering location problem”, (). A maximum expected covering location model: formulation, properties and heuristic solution",   Cite this article: WANG Feifei,HOU Yunxian,LI Shisen.

Dynamic Multiple Coverage Model of Urban Emergency Material Depository[J]. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A,32(1):   "A Hypercube Queuing Model for Facility Location and Redistricting in Urban Emergency Services," Computers and Operations Research, 1 (1), ().

[LARS 74b] Larson, R.C., "Illustrative Police Sector Redesign in District 4 in Boston," Urban Analysis, 2, () A hybrid hypercube – Genetic algorithm approach for deploying many emergency response mobile units in an urban network European Journal of Operational Research () – Contents lists available at ScienceDirect European Journal of Operational Research journ In this paper, we consider ambulance systems by the aspect of their response time using queueing simulation.

We introduce the actual situation for ambulance system of Seto City in Japan, and propose a queueing simulation model. This simulation model enables us to compute the mean response time, loss ratio and the other several important indices.

Using the simulation model, we present 2. 摘要: 考虑事故发生的不确定性,研究了高速公路上紧急救援站的选址问题。引入α鲁棒约束条件,结合随机优化和鲁棒优化,建立了01整数规划模型。该模型规定了在各情景下设施覆盖的事故数的相对后悔值不超过α的条件,使得平均响应时间最小化,并结合实例给出分析,结果证明了模型的有效   考虑公平与效率目标的城乡配送中心排队选址模型 曾倩 1,张锦* 1,2,陈义友 1 1. 西南交通大学交通运输与物流学院,成都;2. 综合交通运输智能化国家地方联合工程实验室,(). A hypercube queuing model for facility location and redistricting in urban emergency services.

(). A maximal expected covering location model: Formulation, properties, (). A methodology for emergency ambulance deployment. ()