Location Theory and Decision Analysis with Facility-Location and Land-Use Models CD-ROM / Edition 1by Yupo Chan
Pub. Date: 06/28/2000
This is the first book to integrate models for facilities siting and land-use. Employing state-of-the-art quantitative models and case-studies, this book guides the siting of such facilities as transportation terminals, warehouses, nuclear power plants, military bases, landfills, emergency shelters, state parks, and industrial plants. It is very valuable to management-science analysts, transportation logisticians, civil and environmental engineers, economists, geographers, urban planners, developers, corporations, government officials, and anyone involved in facility operation and planning who wishes to avoid the costly mistakes that can result from poor locational decisions. Facility consolidation, contraction, expansion, and the traffic flow through these facilities are also discussed.
Table of ContentsPREFACE. 1. INTRODUCTION. 1. Objectives. 2. Determinants of Location. 3. The Role of Analysis. 4. Analytical Techniques. 5. Concluding Remarks. 2. ECONOMIC METHODS OF ANALYSIS. 1. Economic Constructs for Activity Allocation and Forecasting. 2. Econometric Modeling: Interregional Demographic Projections. 3. Economic Constructs for Cost-Benefit Estimation. 4. Utility Theory. 5. The Location Design. 6. Scale and Number of Public Facilities. 7. Spatial Location of a Facility. 8. Economic Basis of the Gravity-Based Spatial Allocation Model. 9. Concluding Remarks. 3. DESCRIPTIVE TOOLS FOR ANALYSIS. 1. An Example. 2. Descriptive Techniques: Another Example. 3. Simulation. 4. Stochastic Simulation. 5. Discrete Event Simulation. 6. Inventory Control Using Marginal Analysis. 7. Bayesian Analysis. 8. Econometric Approach. 9. Calibration. 10. Aggregate Versus Disaggregate Modeling. 11. The Gravity Model Revisited. 12. Spatial Interaction. 13. Quality of a Model Calibration. 14. Concluding Remarks. 4. PRESCRIPTIVE TOOLS FOR ANALYSIS. 1. A Typical Prescriptive Model. 2. Heuristic Solution Techniques. 3. Analytical Solution Techniques. 4. Integer of Mixed-Integer Programming. 5. Decomposition Methods in Facility Location. 6. Spatial Interactions: The Quadratic Assignment Problem. 7. Prescriptive Analysis in Facility Location: Data Envelopment Analysis. 8. Prescriptive Techniques in Land Use. 9. Concluding Remarks. 5. MULTICRITERIA DECISION MAKING. 1. Preference Structure. 2. SImple Ordering. 3. Exploring the Efficient Frontier. 4. Multicriteria Simplex (MC-Simplex). 5. Goal Setting. 6. Value Functions. 7. Value-Function Measurement Steps. 8. Mulitcriteria Decision Making and FacilityLocation. 9. A Taxonomy of Methods. 10. Domination Structures. 11. Collective Decision Making. 12. Concluding Remarks. 6. REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS. 1. Data in Spatial-Temporal Analysis. 2. Geographic Coding Systems. 3. Geographic Information Systems (GIS). 4. Selecting a GIS. 5. Remote Sensing Systems. 6. Digital Image Processing. 7. Digital Image Processing Software and Hardware. 8. Applications of Remote Sensing. 9. Spectral Versus Spatial Pattern Recognition. 10. A District Clustering Model. 11. Case Study of Image Classification. 12. Remote Sensing, GIS, and Spatial Analysis. 13. Concluding Remarks. EXERCISES AND PROBLEMS. 1. Remote Sensing and Geographic Information Systems. 2. Facility Location. 3. Location-Routing. 4. Activity Derivation, Allocation and Competition. 5. Land Use Models. 6. Spatial-Temporal Information. APPENDIX 1: REVIEW OF SOME PERTINENT OPTIMIZATION SCHEMES. 1. Linear Programming. 2. Network-With-Side-Constraints. 3. Langrangian Relaxation. 4. Benders' Decomposition. 5. Algorithms and Complexity. 6. Concluding Remarks. APPENDIX 2: REVIEW OF PERTINENT MARKOVIAN PROCESSES. 1. Poisson Process. 2. Field Data from Air Terminal. 3. M/M/1 Quere. 4. Queuing Systems. 5. Markovian Properties. 6. Markovian Properties of Dynamic Programming. 7. Markovian Decision Processes. 8. Recursive Programming. 9. Concluding Remarks. APPENDIX 3: REVIEW OF SOME PERTINENT STATISTICAL TOOLS. 1. Statistical Analysis: Basic Concepts. 2. Goodness of Fit Measures. 3. Linear Regression. 4. Analysis of Variance. 5. Using the Regression Equation. 6. Stepwise Regression. 7. Matrix Approach to Linear Regression. 8. Nonlinear Regression. 9. Concluding Remarks. APPENDIX 4: CONTROL, DYNAMICS, AND SYSTEM STABILITY. 1. Control Theory. 2. Calculus of Variations. 3. Variational Inquality. 4. Catastrophe Theory. 5. Compartmental Models. 6. System Stability. 7. Concluding Remarks. APPENDIX 5: DISCUSSION OF TECHNICAL CONCEPTS. APPENDIX 6: ACRONYMS/INDEX.
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