Skip to main content
MIT Corporate Relations
MIT Corporate Relations
Search
×
Read
Watch
Attend
About
Connect
MIT Startup Exchange
Search
Sign-In
Register
Search
×
MIT ILP Home
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
User Menu and Search
Search
Sign-In
Register
MIT ILP Home
Toggle menu
Search
Sign-in
Register
Read
Faculty Features
Research
News
Watch
Attend
Conferences
Webinars
Learning Opportunities
About
Membership
Staff
For Faculty
Connect
Faculty/Researchers
Program Directors
MIT Startup Exchange
Back to Faculty/Researchers
Dr. Richard C Larson
Professor (Post-Tenure) of Engineering Systems
Primary DLC
Institute for Data, Systems and Society
MIT Room:
E17-365
(617) 253-3604
rclarson@mit.edu
https://idss.mit.edu/staff/richard-larson/
Areas of Interest and Expertise
Advanced Technology and Pedagogy for Distance and Local Learning
Operations Research Applied to Private and Public Service Systems
Transportation and Logistics
Psychology of Queueing
Queueing Theory
Disease Dynamics
Workforce Analysis
Research Summary
Professor Larson’s career has focused his operations research and systems expertise on a wide variety of problems, in both public and private sectors. He is author, co-author or editor of six books and author or co-author of over 175 scientific articles, primarily in the fields of urban service systems (esp. emergency response systems), disaster planning, pandemics, queueing, logistics, technology-enabled education, smart-energy houses and workforce planning. His first book, Urban Police Patrol Analysis (MIT Press, 1972) was awarded the Lanchester Prize of the Operations Research Society of America (ORSA). He is co-author, with Amedeo Odoni, of the widely used Urban Operations Research, Prentice Hall, 1981 (over 1,000 citations). Larson’s research on queues has not only resulted in new computational techniques (e.g., the Queue Inference Engine – an early example of data-driven research and the Hypercube Queueing Model – 740 citations), but has also been covered extensively in national and international media.
Recent Work
Projects
April 11, 2011
Institute for Data, Systems and Society
Towards Intelligent Societies: What Motivates Students to Study Science and Math? How Do We Provide for Flexible Learning?
Principal Investigator
Richard Larson
December 17, 2009
Institute for Data, Systems and Society
Flu 101
Principal Investigator
Richard Larson
February 5, 2009
Institute for Data, Systems and Society
MIT BLOSSOMS: Blended Learning Open Source Science or Math Studies
Principal Investigator
Richard Larson
November 13, 2003
Institute for Data, Systems and Society
Learning International Network Consortium (LINC)
Principal Investigator
Richard Larson
Books
Publication date:
July 25, 2023
Books
Dr. Richard C Larson
Model Thinking for Everyday Life: How to Make Smarter Decisions
Related Faculty
Dr. Stan N Finkelstein
Senior Research Scientist
Prof. Daniel Roos
Professor of Engineering Systems and Civil and Environmental Engineering, Emeritus
Mandira Roy
Research Associate