Location Covering Models

History, Applications and Advancements

By: Alan Murray, Richard L. Church

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Hardcover | 7 January 2019

At a Glance

Hardcover
284 Pages

Dimensions(cm)
23.5 x 15.5 x 1.91

Hardcover

$219.00

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This book provides a thoughtful and rigorous guide to coverage modeling, reviewing essential models, solution approaches, and related applications. Since the early developments of the Location Set Covering Problem and the Maximal Covering Location Problem, models based upon some form of coverage have been extended and applied in a number of areas, helping to improve services offered to citizens of large cities and regions. Examples include trauma care services, transit systems design, cell tower location, and many others. The book not only describes the strengths and weaknesses of currently available models, but also presents details on major developments, including solution procedures and applications, making it well suited both as a reference text and a textbook for graduate level courses.

Industry Reviews

"This book will primarily be of interest to the student and practitioner in spatial questions, mainly with a geography, economics or engineering background and having already some basic knowledge of mathematical optimisation. It will be invaluable as a common source of ideas around the modeling of all kinds problems of optimal covering type." (Frank Plastria, zbMATH 1432.90004, 2020)
"If you want to teach LCMs to a group of undergraduate or graduate students then this book is what you are looking for. If you are new to LCMs and interested in learning more about it with the help of an extensive coverage of the literature, or if you know the theory and want to learn more about different research opportunities, then this book would be of interest to you." (Emre Tokgoz, Mathematical Reviews, July, 2019)
"I consider Location Covering Models to be an outstanding book that organizes the vast amount of literature concerning this topic in an excellent way. For this reason, no geographer who is engaged in spatial analysis should miss this book in one's library." (Gert W. Wolf, International Journal of Geographical Information Science, Vol. 33 (11), 2019)

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