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Richard C. Larson

Researcher at Massachusetts Institute of Technology

Publications -  129
Citations -  6731

Richard C. Larson is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Queueing theory & Service (business). The author has an hindex of 39, co-authored 129 publications receiving 6231 citations.

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Urban Operations Research

TL;DR: In this paper, the authors present the basis of a course intended to provide relevant analytical skills, and also an awareness of, institutional and environmental issues arising in urban situations and focus on certain urban service systems including delivery services, emergency services, transport services, street maintenance and social services.
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A hypercube queuing model for facility location and redistricting in urban emergency services

TL;DR: 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 computation of several pointspecific aswell as area-specific performance measures.
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OR Forum—Perspectives on Queues: Social Justice and the Psychology of Queueing

TL;DR: This speculative paper uses personal experiences, published and unpublished cases, and occasionally “the literature” to begin to organize the thoughts on the important attributes of queueing.
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Approximating the Performance of Urban Emergency Service Systems

TL;DR: An approximate procedure for computing selected performance characteristics of an urban emergency service system based on a recently developed hypercube queuing model that allows computation of several point-specific as well as area-specific performance measures.
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Optimal Location of Discretionary Service Facilities

TL;DR: A method is presented for determining the optimal locations of discretionary service facilities so as to intercept the maximum possible potential customer flow and how to determine the minimal number of facilities required to intercept a prespecified fraction of total customer flow.