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Location Covering Models: History, Applications and Advancements 2018 ed. [Kõva köide]

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  • Formaat: Hardback, 271 pages, kõrgus x laius: 235x155 mm, kaal: 594 g, 23 Illustrations, color; 26 Illustrations, black and white; X, 271 p. 49 illus., 23 illus. in color., 1 Hardback
  • Sari: Advances in Spatial Science
  • Ilmumisaeg: 07-Jan-2019
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319998455
  • ISBN-13: 9783319998459
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Location Covering Models: History, Applications and Advancements 2018 ed.Suurem pilt
  • Formaat: Hardback, 271 pages, kõrgus x laius: 235x155 mm, kaal: 594 g, 23 Illustrations, color; 26 Illustrations, black and white; X, 271 p. 49 illus., 23 illus. in color., 1 Hardback
  • Sari: Advances in Spatial Science
  • Ilmumisaeg: 07-Jan-2019
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319998455
  • ISBN-13: 9783319998459
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319998459.html

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.

Arvustused

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 ones library. (Gert W. Wolf, International Journal of Geographical Information Science, Vol. 33 (11), 2019)

1 Location Modeling and Covering Metrics
1(22)
1.1 Location Science
1(2)
1.2 Standards Based Coverage
3(3)
1.3 Site Selection Context and History
6(3)
1.4 Surveillance, Sensors, and Warning Systems
9(3)
1.5 Emergency Response
12(1)
1.6 Nature Reserve Protection
13(2)
1.7 Spatial Separation
15(1)
1.8 Expanded Locational Constructs
16(1)
1.9 General Form of Coverage
16(1)
1.10 Summary and Concluding Remarks
17(2)
References
19(4)
2 Classic Beginnings
23(26)
2.1 Introduction
23(1)
2.2 Theory and Innovation
24(3)
2.3 Location Set Covering Problem
27(4)
2.3.1 Formulation
28(1)
2.3.2 Planning Facility Deployment
29(1)
2.3.3 Applications
30(1)
2.4 Maximal Covering Location Problem
31(6)
2.4.1 Formulation
33(3)
2.4.2 Planning Facility Deployment
36(1)
2.4.3 Applications
36(1)
2.5 Theoretical Linkages
37(5)
2.6 Fixed Charges
42(2)
2.7 Summary and Concluding Comments
44(1)
References
45(4)
3 Extended Forms of Coverage
49(32)
3.1 Introduction
49(1)
3.2 Multiple Service
50(3)
3.3 Existing Service System
53(1)
3.4 Site Quality
54(3)
3.5 Multiple Objectives
57(2)
3.6 Backup Coverage
59(3)
3.7 Coordinated Systems
62(10)
3.7.1 Facility Type
63(4)
3.7.2 Assisting Facility Types
67(1)
3.7.3 Coordinated Access
68(2)
3.7.4 Conditional Coverage
70(2)
3.8 Hierarchical Services
72(4)
3.8.1 Successively Inclusive Services
72(2)
3.8.2 Activities Between Levels
74(2)
3.9 Multiple Optima
76(1)
3.10 Summary and Concluding Comments
77(1)
References
77(4)
4 Probabilistic Coverage
81(26)
4.1 Introduction
81(2)
4.2 Reliable Coverage
83(5)
4.3 Expected Coverage
88(3)
4.4 Maximal Reliable Coverage
91(3)
4.5 Queuing
94(3)
4.6 Facility Availability
97(5)
4.7 Extensions
102(2)
4.8 Summary and Concluding Comments
104(1)
References
104(3)
5 Anti-cover
107(24)
5.1 Introduction
107(1)
5.2 Separation Context
108(3)
5.2.1 Separation to Avoid Concentration Around Demand
109(1)
5.2.2 Separation Between Sited Facilities
109(2)
5.3 Model Construct
111(2)
5.4 Mathematical Structure
113(7)
5.4.1 Cliques
114(3)
5.4.2 Hybrid
117(2)
5.4.3 Theoretical Bounds
119(1)
5.5 Relaxations and Extensions
120(5)
5.5.1 Relaxation
120(3)
5.5.2 Extension
123(2)
5.6 Inefficiency
125(2)
5.7 Facets and More
127(1)
5.8 Summary and Concluding Comments
127(1)
References
128(3)
6 Weighted Benefit, Variable Radius, and Gradual Coverage
131(18)
6.1 Introduction
131(1)
6.2 Equity and Implied Value of Service
132(2)
6.3 Generalized Maximal Covering Location Problem
134(3)
6.4 Expanded Forms of Generalized Coverage
137(2)
6.5 Endogenously Determined Coverage
139(3)
6.6 Continuous Endogenous Coverage
142(3)
6.7 Gradual Coverage
145(2)
6.8 Summary and Concluding Comments
147(1)
References
147(2)
7 Capture, Capacities, and Thresholds
149(28)
7.1 Introduction
149(1)
7.2 Maximum Capture
150(6)
7.3 Capturing/Intercepting Flow
156(2)
7.4 Capacities
158(10)
7.4.1 System Optimal Perspective
160(3)
7.4.2 User Optimal Perspective
163(3)
7.4.3 Equal Fraction Perspective
166(2)
7.5 Thresholds
168(3)
7.6 Franchise Territory Design
171(2)
7.7 Summary and Concluding Comments
173(1)
References
174(3)
8 Continuous Space Coverage
177(26)
8.1 Introduction
177(5)
8.2 Problems
182(2)
8.2.1 Discrete Demand
182(1)
8.2.2 Discrete Potential Facility Locations
183(1)
8.2.3 Continuous Demand and Infinite Potential Facility Locations
183(1)
8.3 Formulations
184(3)
8.4 Simplification and Relaxation
187(8)
8.4.1 Discrete Demand and Discrete Potential Facility Locations
187(1)
8.4.2 Discrete Potential Facility Locations
188(5)
8.4.3 Discrete Demand
193(2)
8.5 Transformation and Solution
195(4)
8.5.1 Finite Dominating Sets
195(2)
8.5.2 p-Center
197(1)
8.5.3 Skeleton
198(1)
8.6 Summary and Concluding Comments
199(1)
References
200
9 Disruption, Protection, and Resilience
203(26)
9.1 Introduction
203(1)
9.2 r-Interdiction
204(3)
9.3 Design Sensitive Facility Loss
207(4)
9.4 Planning for Greater Levels of Disruption
211(4)
9.5 Issues When Providing Complete Coverage
215(1)
9.6 Coverage Loss When Supporting Infrastructure Is Lost
216(3)
9.7 Defensive Coverage
219(1)
9.8 Facility Fortification
220(4)
9.9 Applications
224(1)
9.10 Summary and Concluding Comments
225(1)
References
225(4)
10 Coverage of Network-Based Structures: Paths, Tours and Trees
229(26)
10.1 Introduction
229(1)
10.2 Shortest Covering Path
230(9)
10.2.1 Subtour Issues
232(5)
10.2.2 Alternatives for Eliminating Subtours
237(2)
10.3 Salesman and Tour Coverage
239(2)
10.4 Maximal Coverage Variants
241(7)
10.4.1 Trees
245(3)
10.5 Arc Improvement
248(2)
10.6 Applications
250(1)
10.7 Summary and Concluding Comments
251(1)
References
252(3)
11 Grand Challenges
255(12)
11.1 Introduction
255(1)
11.2 Big Data
256(3)
11.2.1 Algorithms for Larger, More Nuanced Problems
257(2)
11.2.2 Balancing the Use of Actual and Aggregated Data
259(1)
11.3 Developing Better Models and Service Assumptions
259(2)
11.4 Problem Transformation
261(1)
11.5 Flexible and Accessible Location Application Software Systems
262(2)
11.6 GIS Developers
264(1)
11.7 Artificial Intelligence and Machine Learning
265(1)
11.8 Summary and Concluding Comments
265(1)
References
266(1)
Index 267
Richard Church is a Distinguished Professor, Emeritus of Geography and formern Associate Dean of the Sciences at the University of California, Santa Barbara. He received his PhD in Environmental Engineering from The Johns Hopkins University. Before joining the faculty at UCSB, he was an Associate Professor of Civil Engineering at the University of Tennessee. He has taught courses in Geography, Business, Industrial Engineering, and Civil Engineering. Prof. Churchs research is concentrated on spatial optimization and Geographic Information Science applied to transportation systems, location and logistics, urban systems and environmental natural resource protection. He has published more than 250 papers in Regional Science, Geography, Transportation, Operations Research, Environmental Modeling, and Engineering. Dr. Church has served as a consultant to a number of companies and governmental agencies on a wide variety of problems (logistics, environmental management, site selection, and transportation). He is a Fellow of the Regional Science Association International and a Fellow of the American Association for the Advancement of Science (AAAS). He received the outstanding Graduate Mentor Award from the University of California, Santa Barbara in 2013, the Lifetime Achievement in Location Award (INFORMS) in 2012, and the University Consortium for Geographical Information Science Research Award in 2014. In 2015 he served as President of the North American Regional Science Council and is currently President of SOLA (a section of INFORMS). 

Alan Murray (BS, MA, PhD UC Santa Barbara) is a Professor in the Department of Geography at University of California at Santa Barbara. He previously held academic appointments at Drexel University, Arizona State University and Ohio State University. He is editor of International Regional Science Review, associate editor and/or editorial board member for a range of international journals, including GeographicalAnalysis, Transactions in GIS, Papers in Regional Science, Computers, Environment and Urban Systems, Socio-Economic Planning Sciences and Annals of the Association of American Geographers. His research and teaching interests include: geographic information science; spatial optimization; health informatics; urban growth and development; land use planning; urban, regional, and natural resource planning and development; and, infrastructure and transportation systems. He is the author of two books and over 220 research articles, book chapters and proceedings papers. Finally, he is the recipient of the 2015 Walter Isard Award for Scholarly Achievement from the North American Regional Science Council.