Business Site Selection, Location Analysis

All organizations-businesses, government agencies, and even individuals face location and relocation decisions: where to open a new store, where to build a new factory, where to locate a new transportation hub? Written by two of the leading researchers in the field, here is the first book to cover the convergent use of GIS for Location Science analysis. The book's integrated approach enables analysts to look beyond theoretical location constructs to focus on the resolution of actual siting problems, producing better data and model representations, developing better solution approaches, and providing better visualization of location alternatives than otherwise possible.

Richard L. Church, PhD, is Professor of Geography at University of California, Santa Barbara, specializing in the analysis of problems defined over space and time, including logistics and transportation, location theory, water resource systems, and urban and environmental systems. Dr. Church has published more than 190 papers and research reports and is the co–founding editor of the journal Location Science, now published as part of Computers and Operations Research.

Alan T. Murray, PhD, is Professor of Geographical Sciences at Arizona State University. Dr. Murray has published more than 130 papers and research reports covering topics in spatial analysis, optimization, location modeling, and urban and regional planning. He has served as the editor of Geographical Analysis since 2002.

Preface	p. xiii
Introduction	p. 1
Motivation	p. 1
History	p. 3
First Principles	p. 7
Planning Context	p. 10
Role of GIS	p. 12
Summary	p. 14
Terms	p. 15
References	p. 15
Exercises	p. 15
GIS	p. 19
Introduction	p. 19
Data Acquisition	p. 26
Existing Sources	p. 26
Semiexisting Sources	p. 27
Surveying and Airborne Approaches	p. 28
Data Management	p. 29
Raster	p. 29
Vector	p. 32
Data Manipulation	p. 33
Conversion	p. 33
Aggregation	p. 36
Overlay	p. 36
Interpolation	p. 40
Data Analysis	p. 41
Query	p. 41
Proximity	p. 42
Centrality	p. 44
Service Zone	p. 44
Data Display	p. 47
Summary	p. 51
Terms	p. 52
References	p. 53
Exercises	p. 53
Model-Building Fundamentals	p. 55
Introduction	p. 55
Review of Mathematical Notation	p. 55
Variables	p. 56
Mathematical Expressions	p. 56
Inequalities	p. 58
Formulating an Optimization Model	p. 59
Apple Shipment	p. 59
Manufacturing Plant Location	p. 61
School Consolidation	p. 64
Model Solution	p. 69
Apple Shipment Application	p. 70
Manufacturing Plant Location Application	p. 72
School Consolidation Application	p. 74
Summary	p. 78
Terms	p. 79
References	p. 79
Exercises	p. 79
Trade and Service Areas	p. 81
Introduction	p. 81
Problem Definition and Motivation	p. 82
Descriptive Trade Area	p. 82
Prescriptive Service Area	p. 83
Mathematical Representation	p. 84
Descriptive Trade Area	p. 84
Prescriptive Service Area	p. 88
GIScience	p. 90
Modeling Application	p. 95
Descriptive Trade Area	p. 95
Prescriptive Service Area	p. 96
Advanced Topics	p. 100
Spatial Interaction Considerations	p. 101
Transportation Problem Considerations	p. 102
Using Trade and Service Area Models in Site Selection	p. 104
Summary	p. 105
Terms	p. 105
References	p. 105
Exercises	p. 106
Suitability Analysis	p. 107
Introduction	p. 107
Problem Definition and Motivation	p. 107
Suitability Assessment Process	p. 109
Absolute Suitability	p. 113
Relative Suitability	p. 115
GIScience	p. 116
Map Algebra	p. 118
Attribute Data Measurement	p. 119
Model Application	p. 121
Absolute Suitability	p. 121
Relative Suitability	p. 123
Advanced Topics	p. 126
Summary	p. 130
Terms	p. 132
References	p. 132
Exercises	p. 133
Point-Based Location	p. 135
Introduction	p. 135
Problem Definition and Motivation	p. 136
Mathematical Representation	p. 138
Formulating the Weber Problem	p. 138
Iterative Solution Approach for the Weber Problem	p. 139
GIScience	p. 141
Projections and Coordinate Systems	p. 142
Spherical Distance	p. 143
Planar Distance	p. 145
Modeling Application	p. 146
Solution Using Commercial Software	p. 148
Iterative Solution	p. 149
Advanced Topics	p. 150
Variants of Planar Single Facility Location	p. 151
Fallacy of the Centroid	p. 152
Location on a Sphere	p. 153
Continuously Distributed Demand	p. 153
Summary	p. 155
Terms	p. 156
References	p. 156
Exercises	p. 156
Line-Based Location	p. 159
Introduction	p. 159
Motivation and Problem Definition	p. 160
Mathematical Representation	p. 161
Shortest-Path Model	p. 162
Exact Solution Approach	p. 165
GIScience	p. 166
Defining the Network	p. 168
Modeling Application	p. 172
Path	p. 172
Corridor Siting in ArcGIS	p. 176
Advanced Topics	p. 177
Expanding the Network	p. 178
Shortest-Path Variants	p. 181
Summary	p. 184
Terms	p. 184
References	p. 185
Exercises	p. 185
Area-Based Location	p. 187
Introduction	p. 187
Problem Definition and Motivation	p. 187
Mathematical Representation	p. 188
Knapsack Model	p. 189
Threshold Model	p. 190
Shape Model	p. 191
GIScience	p. 194
Modeling Application	p. 196
Knapsack Model Application	p. 197
Threshold Model Application	p. 199
Shape Model Application	p. 199
Advanced Topics	p. 203
Summary	p. 205
Terms	p. 206
References	p. 206
Exercises	p. 206
Coverage	p. 209
Introduction	p. 209
Problem Definition and Motivation	p. 210
Complete Coverage	p. 211
Maximal Coverage	p. 212
Mathematical Representation	p. 212
Complete Coverage	p. 213
Maximal Coverage	p. 215
GIScience	p. 216
Modeling Application	p. 218
LSCP	p. 219
MCLP	p. 220
Advanced Topics	p. 222
Backup Coverage	p. 223
Service Availability	p. 225
Spatial Representation	p. 227
Summary	p. 230
Terms	p. 231
References	p. 231
Exercises	p. 231
Dispersion	p. 235
Introduction	p. 235
Problem Definition and Motivation	p. 236
Mathematical Representation	p. 237
Neighborhood Restrictions	p. 239
Pairwise Restrictions	p. 240
Clique Restrictions	p. 241
GIScience	p. 243
Modeling Application	p. 244
Neighborhood Restrictions	p. 246
Pairwise Restrictions	p. 248
Clique Restrictions	p. 251
Advanced Topics	p. 252
Hybrid Restrictions	p. 253
Max-Min-Min Dispersion	p. 254
Summary	p. 256
Terms	p. 256
References	p. 257
Exercises	p. 257
Location-Allocation	p. 259
Introduction	p. 259
Problem Definition and Motivation	p. 260
Mathematical Representation	p. 260
Heuristic Solution	p. 263
GIScience	p. 265
Modeling Application	p. 267
Advanced Topics	p. 272
Continuous Space Siting	p. 273
Service Capacities and Fixed Costs	p. 274
Accounting for Uncertainty and Error	p. 276
Summary	p. 277
Terms	p. 278
References	p. 278
Exercises	p. 278
Conclusion	p. 281
Introduction	p. 281
Classes of Location Models	p. 281
Class Variety and Extensions	p. 282
Solution Approaches	p. 285
Final Thoughts	p. 288
References	p. 289
Glossary	p. 291
Index	p. 301
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Business Site Selection, Location Analysis and GIS

Summary

Author Biography

Table of Contents

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