Location theory and decision analysis

Employing state-of-the art quantitative models and case studies, Location Theory and Decision Analysis provides the methodologies behind the siting of such facilities as transportation terminals warehouses, housing, landfills, state parks and industrial plants. Through its extensive methodological review, the book serves as a primer for more advanced texts on spatial analysis, including the monograph on Location, Transport and Land-Use by the same author. Given the rapid changes over the last decade, the Second Edition includes new analytic contributions as well as software survey of analytics.

Dedication; Preface to the Second Edition; MOTIVATION FOR A SECOND EDITION; PEDAGOGY; STATE-OF-THE-ART; SCIENTIFIC COMPUTING; INFORMATION TECHNOLOGY; USE OF THIS BOOK; Preface; ORGANIZATION OF THE BOOK; SOFTWARE; 1 Introduction; I. OBJECTIVES; II. DETERMINANTS OF LOCATION; III. THE ROLE OF ANALYSIS; IV. ANALYTICAL TECHNIQUES; V. CONCLUDING REMARKS; VI. EXERCISES Self-Instructional Module: EMPIRICAL MODELING; ENDNOTE; REFERENCES; 2 Economic Methods of Analysis; I. ECONOMIC CONSTRUCTS FOR ACTIVITY ALLOCATION AND FORECASTING.

II. ECONOMETRIC MODELING: INTERREGIONAL DEMOGRAPHIC PROJECTIONSIII. ECONOMIC CONSTRUCTS FOR COST-BENEFIT ESTIMATION; IV. UTILITY THEORY; V. THE LOCATION DECISION; VI. SCALE AND NUMBER OF PUBLIC FACILITIES; VII. SPATIAL LOCATION OF A FACILITY; VIII. ECONOMIC BASIS OF THE GRAVITY-BASED SPATIAL ALLOCATION MODEL; IX. CONCLUDING REMARKS; X. EXERCISES Self-Instructional Module: PROBABILITY; ENDNOTES; REFERENCES; 3 Descriptive Tools for Analysis; I. AN EXAMPLE; II. DESCRIPTIVE TECHNIQUES: ANOTHER EXAMPLE; III. SIMULATION; IV. STOCHASTIC SIMULATION; V. DISCRETE EVENT SIMULATION.

VI. INVENTORY CONTROL USING MARGINAL ANALYSISVII. BAYESIAN ANALYSIS; VIII. ECONOMETRIC APP…