Microeconomic modeling in urban science / Francisco Javier Martínez Concha.

Includes bibliographical references and index.

Front Cover; Microeconomic Modeling in Urban Science; Microeconomic Modeling in Urban Science; Copyright; Dedication; Contents; Foreword; References; Acknowledgments; Notation; 1 -- Introduction; 1.1 Initial Motivation; 1.2 Toward an Urban Science; 1.3 About the Book; Book Content; Book Structure; 1.4 Issues in Urban Structures; Land Use Problem; Land Auctions; Externalities; Regulations; Accessibility; The Economy; Urban System: Land Use and Transportation Interaction; 1.5 Issues in Urban Modeling; Why Modeling?; Diversity of Choices and Their Perceptions; System Size; Complex System.

Bottom-Up ApproachStochastic Approach; Discrete Modeling; Residential and Nonresidential Activities; Location Representation; Location Prices; Static Versus Dynamic Approaches; 1.6 Remarks; References; 2 -- Accessibility∗; 2.1 The Concept; 2.2 Alternative Measures; 2.3 The Microeconomic Measure of Interactions; 2.4 Definition of Access; 2.5 Measuring Access; Spatial Interaction Entropy Model; Discrete Choice Random Utility Model; 2.6 Location Externalities and Agglomeration Economies; 2.7 Summary; Technical Note 2.1: Spatial Interaction Entropy Model.

Technical Note 2.2: Discrete Choice Random Utility ModelExercise 2.1; References; 3 -- Discrete Urban Economic Theory; 3.1 Introduction; The Structure of a Land-Use System; Characteristics of the Market; 3.2 The Consumer Location Problem; The Household Location Utility Approach; The Bid-Auction Approach; The Auction in the Real Estate Market; The Willingness to Pay; The Auction Allocation Process; The Hedonic Price; Firms' Location Problem; The Firm Continuous Location Model; The Firm Discrete Location Model; 3.3 The Bid-Choice Equivalence; 3.4 Suppliers' Behavior; The Continuous Supply Model.

The Discrete Model of Durable StockThe Unified Land-Real Estate Market; The Generalized Model; 3.5 Market Clearing2; 3.6 Summary; Technical Note 3.1: The Auction Mechanism; Technical Note 3.2: Consumers' Surplus; Exercise 3.1; References; 4 -- The Stochastic Bid-Auction Land-Use Model; 4.1 Introduction; The Stochastic Approach; The Aggregation; 4.2 The Random Utilities; The Interpretation of the Stochastic Term; 4.3 The Random Willingness to Pay; Linear Utilities; Nonlinear Utilities; 4.4 The Stochastic Demand Model; The Assumptions of the Multinomial Logit Model.

The Multinomial Logit Choice Probability: Utility ApproachThe Multinomial Logit Choice Model: Consumer Surplus Approach; The Multinomial Frechit Choice Model: Consumer Surplus; 4.5 Substitution Property of Stochastic Demand; 4.6 The Stochastic Bid-Auction Approach; The Multinomial Logit Bid-Auction Probability; The Logit Hedonic Price; The Multinomial Frechit Bid-Auction Probability; The Frechit Hedonic Price; Estimation of Willingness to Pay; 4.7 The Stochastic Bid-Choice Equivalence; Equivalence in the Logit Model; Equivalence in Frechit Model; 4.8 The Stochastic Supply Model.

Microeconomic Modeling in Urban Science proposes an interdisciplinary framework for the analysis of urban systems. It portrays agents as rational beings modeled under the framework of random utility behavior and interacting in a complex market of location auctions, location externalities, agglomeration economies, transport accessibility attributes, and planning regulations and incentives. Francisco Javier Martinez Concha considers the optimal planning of cities as he explores interactions between citizens and between citizens and firms, the mesoscopic agglomeration of firms and the segregation of agents' socioeconomic clusters, and the emergence of city-level scale laws. Its unified model of city life is relevant to micro-, meso- and macro-scale interactions.