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Table of Contents
Intro
Preface
Contents
Contributors
Part I Sources of Uncertainty, Risk, and Imprecision
Sources of Uncertainty in Location Analysis
1 Introduction
2 Uncertainty
3 Modeling Implications
3.1 Abstraction Uncertainty Implications
3.2 Model Specification Uncertainty Implications
3.3 Location Uncertainty Implications
3.4 Spatial Properties Uncertainty Implications
3.5 Solution Uncertainty Implications
4 Discussion
5 Conclusions
References
Risk, Hazard, and Exposure Time in Hazmat Location and Routing
1 Introduction
2 Literature Review
2.1 Planned and Unplanned Purchases
2.2 Product and Facility Heterogeneity or Differentiation
2.3 Taste for Variety
2.4 Imperfect Information Available to the Customer
2.5 Imperfect Information of the Decision-Maker on Customers
3 Effects of Uncertainties on Customer and Firm Behavior
3.1 Purchases Are Distributed Among All Available Stores
3.2 Search Behavior, Comparison Shopping, Multipurpose-Shopping Trips. Firms Agglomerate
4 Most Representative User Choice Rules Addressing Uncertainty
4.1 Brief Overview of the Fundamental Deterministic Rules
4.2 Choice Rules Explicitly Assuming Uncertainty: Proportional and Gravity
4.3 Choice Rules Explicitly Assuming Uncertainty: Random Utility Models (RUM)
5 Integrating User Choice Rules with Uncertainty in Facility Location Models
6 Conclusions
References
Part II Models that Protect Against Acts of Nature, Attackers, and Competitors
Humanitarian Logistics Under Uncertainty: Planning for Sheltering and Evacuation
1 Introduction
2 The Shelter Site Location Problem
3 Hedging Against Uncertainty in the Shelter Site Location Problem
4 Evacuation Traffic Assignment Approaches
5 Planning for Shelter Locations for an Effective Evacuation Management: An Integrated View
6 Conclusions
References
Stochastic Components of the Attraction Function in Competitive Facilities Location
1 Introduction
2 Probabilistic Models
2.1 The Probabilistic Gravity Model
2.2 Random Utility
2.3 Cover-Based Model
3 Estimating Model Parameters
3.1 Distance Correction
3.2 On the Attractiveness Level of Competing Facilities
4 Uncertainty-Based Objectives
4.1 Minimax Regret Criterion
4.2 The Threshold Objective
Preface
Contents
Contributors
Part I Sources of Uncertainty, Risk, and Imprecision
Sources of Uncertainty in Location Analysis
1 Introduction
2 Uncertainty
3 Modeling Implications
3.1 Abstraction Uncertainty Implications
3.2 Model Specification Uncertainty Implications
3.3 Location Uncertainty Implications
3.4 Spatial Properties Uncertainty Implications
3.5 Solution Uncertainty Implications
4 Discussion
5 Conclusions
References
Risk, Hazard, and Exposure Time in Hazmat Location and Routing
1 Introduction
2 Literature Review
2.1 Planned and Unplanned Purchases
2.2 Product and Facility Heterogeneity or Differentiation
2.3 Taste for Variety
2.4 Imperfect Information Available to the Customer
2.5 Imperfect Information of the Decision-Maker on Customers
3 Effects of Uncertainties on Customer and Firm Behavior
3.1 Purchases Are Distributed Among All Available Stores
3.2 Search Behavior, Comparison Shopping, Multipurpose-Shopping Trips. Firms Agglomerate
4 Most Representative User Choice Rules Addressing Uncertainty
4.1 Brief Overview of the Fundamental Deterministic Rules
4.2 Choice Rules Explicitly Assuming Uncertainty: Proportional and Gravity
4.3 Choice Rules Explicitly Assuming Uncertainty: Random Utility Models (RUM)
5 Integrating User Choice Rules with Uncertainty in Facility Location Models
6 Conclusions
References
Part II Models that Protect Against Acts of Nature, Attackers, and Competitors
Humanitarian Logistics Under Uncertainty: Planning for Sheltering and Evacuation
1 Introduction
2 The Shelter Site Location Problem
3 Hedging Against Uncertainty in the Shelter Site Location Problem
4 Evacuation Traffic Assignment Approaches
5 Planning for Shelter Locations for an Effective Evacuation Management: An Integrated View
6 Conclusions
References
Stochastic Components of the Attraction Function in Competitive Facilities Location
1 Introduction
2 Probabilistic Models
2.1 The Probabilistic Gravity Model
2.2 Random Utility
2.3 Cover-Based Model
3 Estimating Model Parameters
3.1 Distance Correction
3.2 On the Attractiveness Level of Competing Facilities
4 Uncertainty-Based Objectives
4.1 Minimax Regret Criterion
4.2 The Threshold Objective