| Description |
1 online resource (xxxiii, 701 pages) : illustrations |
| Contents |
Dedication -- Preface to the Second Edition -- MOTIVATION FOR A SECOND EDITION -- PEDAGOGY -- STATE-OF-THE-ART -- SCIENTIFIC COMPUTING -- INFORMATION TECHNOLOGY -- USE OF THIS BOOK -- ACKNOWLEDGEMENTS -- Preface -- ORGANIZATION OF THE BOOK -- SOFTWARE -- ACKNOWLEDGEMENTS -- ABOUT THE COVER -- REFERENCES -- 1 Introduction -- I. OBJECTIVES -- II. DETERMINANTS OF LOCATION -- A. Technological Factors -- B. Economic and Geographic Factors -- C. Political Factors -- D. Social Factors -- III. THE ROLE OF ANALYSIS -- A. Airport Example -- B. Manufacturing Plant Example -- C.A Combined Example -- IV. ANALYTICAL TECHNIQUES -- V. CONCLUDING REMARKS -- VI. EXERCISES Self-Instructional Module: EMPIRICAL MODELING -- Problem 1: Further Discussions on Table 1.1 -- Problem 2: Further Discussions on Airport Location -- ENDNOTE -- REFERENCES -- 2 Economic Methods of Analysis -- I. ECONOMIC CONSTRUCTS FOR ACTIVITY ALLOCATION AND FORECASTING -- A. Economic-Base Theory -- B. Location Theory -- C. Input-Output Models -- II. ECONOMETRIC MODELING: INTERREGIONAL DEMOGRAPHIC PROJECTIONS -- A. Population Projection Models -- B. Interregional Growth and Distribution -- C. Interregional Components of Change Model -- III. ECONOMIC CONSTRUCTS FOR COST-BENEFIT ESTIMATION -- A. Shift-Share Analysis -- B. Theory of Land Values -- C. Consumers' Surplus -- IV. UTILITY THEORY -- A. Estimating Bid-Rent via Utility Function -- B. Minimum-Cost Residential Location -- V. THE LOCATION DECISION -- A. Bid-Rent Curves -- B. Industrial Location -- C. Residential Location Models -- VI. SCALE AND NUMBER OF PUBLIC FACILITIES -- A. Static Short-Run Equilibrium -- B. Dynamic Long-Run Equilibrium -- VII. SPATIAL LOCATION OF A FACILITY -- A. Center of a Network -- B. Median of a Network -- C. Competitive Location and Games -- D. Imperfect Information |
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VIII. ECONOMIC BASIS OF THE GRAVITY-BASED SPATIAL ALLOCATION MODEL -- A. The Singly Constrained Model -- B. The Doubly Constrained Model -- C. The Unconstrained Model -- D. The Intervening Opportunity Model -- IX. CONCLUDING REMARKS -- X. EXERCISES Self-Instructional Module: PROBABILITY -- Problem 1: Gravity Model -- Problem 2: Further Discussions on Forecasting -- ENDNOTES -- REFERENCES -- 3 Descriptive Tools for Analysis -- I. AN EXAMPLE -- II. DESCRIPTIVE TECHNIQUES: ANOTHER EXAMPLE -- III. SIMULATION -- IV. STOCHASTIC SIMULATION -- V. DISCRETE EVENT SIMULATION -- A. Stochastic Process -- B. Simulation -- VI. INVENTORY CONTROL USING MARGINAL ANALYSIS -- VII. BAYESIAN ANALYSIS -- A. Bayesian Update -- B. Bayesian Decisions -- C. Decision Tree -- D. Influence Diagram -- E. Bayesian Classifier -- VIII. ECONOMETRIC APPROACH -- A. Arrow Diagram and Path Analysis -- B. Econometric Models -- IX. CALIBRATION -- A. Ordinary Least Squares -- B. Two-Stage Least Squares -- C. Example of Two-Stage Least Squares -- D. Maximum Likelihood -- X. AGGREGATE VERSUS DISAGGREGATE MODELING -- XI. THE GRAVITY MODEL REVISITED -- A. Singly Constrained Gravity Model -- B. Doubly Constrained Model -- XII. SPATIAL INTERACTION -- A. Information Theory -- B. Entropy -- XIII. QUALITY OF A MODEL CALIBRATION -- A. Chi-Square Test -- B. Variance Reduction -- XIV. CONCLUDING REMARKS -- XV. EXERCISES Self-Instructional Module: PROBABILITY DISTRIBUTION AND QUEUING -- Problem 1: Decision Tree -- Problem 2: Simulation -- ENDNOTES -- REFERENCES -- 4 Prescriptive Tools for Analysis -- I.A TYPICAL PRESCRIPTIVE MODEL -- A. Goals and Objectives -- B. Representation of the System -- C.A Prescriptive Formulation of the Economic-Base Concept -- II. HEURISTIC SOLUTION TECHNIQUES -- A. Manual Approach -- B. Enumerative Method -- C. Direct Search Technique -- D. The Golden Section Algorithm |
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E. Fibonacci Search Procedure -- III. ANALYTICAL SOLUTION TECHNIQUES -- A. Calculus -- B. Linear Programming -- C. Primal and Dual Linear Programs -- D. Solution of Linear Programs -- E. Nonlinear Programming -- F. Solution of a Nonlinear Program -- IV. INTEGER OR MIXED-INTEGER PROGRAMMING -- A. Total Unimodularity -- B. Network Software -- C. Network with Gains -- V. DECOMPOSITION METHODS IN FACILITY LOCATION -- A. Resource Directive Decomposition -- B. Price Directive Decomposition -- VI. SPATIAL INTERACTIONS: THE QUADRATIC ASSIGNMENT PROBLEM -- A. Nonlinear Formation -- B. Linear Formulation -- C. Comments -- VII. PRESCRIPTIVE ANALYSIS IN FACILITY LOCATION: DATA ENVELOPMENT ANALYSIS -- VIII. PRESCRIPTIVE TECHNIQUES IN LAND USE -- A. Entropy Maximization Model -- B. Relationship to the Allocation Model -- C. Optimal Control Models of Spatial Interaction -- IX. CONCLUDING REMARKS -- X. EXERCISES Self-Instructional Module: GRAPH OPTIMIZATION -- Problem 1: Properties of a Facility-Location Model -- Problem 2: Maximal-Coverage Facility-Location Model -- ENDNOTES -- REFERENCES -- 5 Multicriteria Decision Making -- I. PREFERENCE STRUCTURE -- A. The Importance of Preference Structure -- B. Paired versus Simultaneous Comparison -- II. SIMPLE ORDERING -- III. EXPLORING THE EFFICIENT FRONTIER -- IV. MULTICRITERIA SIMPLEX (MC-SIMPLEX) -- A. The MC-Simplex Algorithm -- B. Nonlinear and Integer Programming -- C. An Interactive Frank-Wolfe Example -- D. Comments -- V. GOAL SETTING -- A. Compromise Programming -- B. Deviational Measures -- C. Goal-Setting Example -- VI. VALUE FUNCTIONS -- A. Additive versus Multiplicative Form -- B. Univariate Utility Function Construction -- C. Independence Among Criterion Functions -- D. Summary -- VII. VALUE-FUNCTION MEASUREMENT STEPS -- A. Preferential, Utility and Additive Independence |
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B. Examples of Utility Function Calibration -- C. Validation -- VIII. MULTICRITERIA DECISION MAKING AND FACILITY LOCATION -- A. The X, Y', and Z' Spaces in Facility Location -- B. Multi-Attribute Utility and Optimization -- IX. A TAXONOMY OF METHODS -- A. Prior Articulation of Alternatives -- B. Prior Articulation of Preferences -- C. Progressive Articulation of Alternatives -- D. Progressive Articulation of Preferences -- X. DOMINATION STRUCTURES -- XI. COLLECTIVE DECISION MAKING -- A. Arrow's Paradox -- B. Game Theory -- C. Recommended Procedure -- XII. CONCLUDING REMARKS -- XIII. EXERCISES Self-Instructional Module: RISK ASSESSMENT -- Problem 1: Multicriteria Optimization -- Problem 2: Multi-attribute Decision Analysis -- ENDNOTES -- REFERENCES -- 6 Remote Sensing and Geographic Information Systems -- I. DATA IN SPATIAL-TEMPORAL ANALYSIS -- A. Resource Requirement -- B. Assembly of Data Sources -- C. Use and Display of Information -- II. GEOGRAPHIC CODING SYSTEMS -- A. Central Place Theory -- B. Concentric Zone, Sector, and Multi-Nuclei City Structures -- C. Dual Independent Map Encoding System -- D. Topologically Integrated Geographic Encoding and Referencing -- E. Other Data Sources -- III. GEOGRAPHIC INFORMATION SYSTEMS (GIS) -- A. Data Organization and Structure -- B. Location Reference System and Data Structure -- C. Geospatial Metadata -- IV. REMOTE SENSING SYSTEMS -- A. Interface between Remote Sensing Data and GIS -- B. An Assessment -- C. Remote Sensing Technology -- V. DIGITAL IMAGE PROCESSING -- A. Image Rectification and Restoration -- B. Image Enhancement -- C. Image Classification -- D. Data Merging -- VI. DIGITAL IMAGE PROCESSING SOFTWARE AND HARDWARE -- VII. APPLICATIONS OF REMOTE SENSING -- VIII. SPECTRAL VERSUS SPATIAL PATTERN RECOGNITION -- A. Spectral Pattern Recognition -- B. Contextual Allocation of Pixels |
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IX. A DISTRICT CLUSTERING MODEL -- A.A Single Subregion Model -- B. Multiple Subregion Model -- C. Demand Equity -- D. Extensions -- X. CASE STUDY OF IMAGE CLASSIFICATION -- A. Digital Image Data -- B. Image Classification -- C. Lessons Learned -- XI. REMOTE SENSING, GIS, AND SPATIAL ANALYSIS -- XII. CONCLUDING REMARKS -- XIII. EXERCISES Self-Instructional Module: LINEAR PROGRAMMING PART 1: MODEL FORMULATION -- Problem 1: Bayesian and Contextual Classification -- Problem 2: TS-IP Image-Processing Software -- ENDNOTES -- REFERENCES -- 7 Analytics and Spatial Information Technology: Retrospect and Prospects -- I. ANALYTICS -- A. Statistical Modeling -- B. Optimization -- C. Multicriteria Decision-Making -- D. Location-Based Analysis -- II. SPATIAL ANALYTICS -- A. Spatial Association -- B. Spatial Clustering -- C. Facility or Site Location -- D. Routing -- III. SOFTWARE -- A. Commercial/Licensed Software -- B. Developmental Geospatial Software in the Public Domain -- C. Selecting a Software: The Case of GIS -- IV. SPATIAL INFORMATION TECHNOLOGY: LOOKING AHEAD -- A. Spatial Information Technology -- B. Going Beyond -- V. EXERCISES Self-Instructional Module: LINEAR PROGRAMMING PART 2 SOLUTION ALGORITHM -- ENDNOTES -- REFERENCES -- 8 A Software Survey of Analytics and Spatial Information Technology -- I. GENERAL ANALYTIC SOFTWARE -- A. Spreadsheet Modeling -- B. Applied Mathematics -- C. Statistics -- D. Simulation -- E. Optimization -- F. Decision Analysis -- II. SPATIAL ANALYTICS SOFTWARE -- A. GIS -- B. Image Processing -- C. Routing -- III. CONCLUDING COMMENTS -- ENDNOTES -- REFERENCES -- Synthesis Exercises and Problems -- I. REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS -- A. Bayesian Classifier -- B. Iterative Conditional Mode Algorithm -- C. Weighted Iterative Conditional Mode Algorithm -- D. District Clustering Model |
| Summary |
Using state-of-the-art models and case studies, this book provides decision tools for siting facilities such as transportation terminals, warehouses, housing, landfills, parks and industrial plants |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Industrial location -- Decision making
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Land use, Urban -- Decision making
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Transportation -- Planning.
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Land use -- Planning.
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Space in economics -- Mathematical models
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Regional economics -- Mathematical models
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Ingénierie.
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Industrial location -- Decision making
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Land use -- Planning
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Land use, Urban -- Decision making
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Regional economics -- Mathematical models
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Space in economics -- Mathematical models
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Transportation -- Planning
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| Form |
Electronic book
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| LC no. |
2011921883 |
| ISBN |
9783642156632 |
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3642156630 |
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3642156622 |
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9783642156625 |
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