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2024 Faculty Courses School of Environment and Society Department of Civil and Environmental Engineering Graduate major in Civil Engineering

Urban Economic Analysis

Academic unit or major
Graduate major in Civil Engineering
Instructor(s)
Yuki Takayama
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
7-8 Mon / 7-8 Thu
Class
-
Course Code
CVE.D406
Number of credits
200
Course offered
2024
Offered quarter
4Q
Syllabus updated
Mar 14, 2025
Language
English

Syllabus

Course overview and goals

To find rational urban policies, it is necessary to understand the mechanisms behind urban problems and predict the effectiveness of policy measures. Urban economics is a field of economics that serves as the foundation for these considerations and possesses crucial features, even from a civil engineering perspective, as it allows for the proper evaluation of the benefits of public policies. In this lecture, we will cover not only the fundamental theories required for urban economic analysis but also methods for applying them to policy evaluation.

Course description and aims

At the end of this course, students will be able to:
1. explain the mechanisms of spatial agglomeration of economic activities;
2. explain the characteristics of the spatial distribution of economic activities within a city and the mechanisms giving rise to them;
3. explain the regularities observed in the distribution of city sizes and the mechanisms leading to them;
4. explain methods for evaluating the effects of various urban and transportation policies.

Keywords

urban economics, equilibrium, policy analysis

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

While teaching theoretical foundations of urban economics, exercises will also be conducted.

Course schedule/Objectives

Course schedule Objectives
Class 1 Introduction of urban economics aims & scopes of this course
Class 2 Location theory basic concepts of location theory
Class 3 Land use model (closed city) monocentric model (closed city)
Class 4 Land use model (small open city) monocentric model (small open city); bid-rent approach and equilibrium analysis
Class 5 Economic analysis of traffic congestion: Negative externalities user equilibrium assignment; Braess’s paradox
Class 6 Economic analysis of traffic congestion: Congestion pricing congestion pricing; internalizing externalities
Class 7 Evolutionary game theory population game
Class 8 Evolutionary dynamics evolutionary dynamics; revision protocol
Class 9 Stability of an equilibrium stability; dynamical system
Class 10 Extension of land use model agglomeration economies and diseconomies
Class 11 System of cities: equilibrium and optimum system-of-cities model; city size
Class 12 New economic geography new economic geography model; bifurcation
Class 13 Computable general equilibrium model SCGE (spatial computable general equilibrium) model
Class 14 Quantitative spatial economics quantitative spatial model; quantitative urban model
Class 15 Summary urban economics and policy evaluation

Study advice (preparation and review)

To facilitate effective learning, students are encouraged to spend approximately 100 minutes preparing for each class and an additional 100 minutes reviewing class content afterward, including assignments. Please utilize the course materials for this purpose.

Textbook(s)

None required.

Reference books, course materials, etc.

Fujita, M. (1989). Urban Economic Theory: Land Use and City Size. Cambridge University Press.
Fujita, M., & Thisse, J.-F. (2013). Economics of Agglomeration: Cities, Industrial Location, and Globalization. Cambridge University Press.
Fujita, M., Krugman, P. R., & Venables, A. J. (1999). The Spatial Economy: Cities, Regions and International Trade. MIT Press.
Sheffi, Y. (1985). Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall, Englewood Cliffs, NJ.
Sandholm, W. H. (2010). Population Games and Evolutionary Dynamics. MIT Press.

Evaluation methods and criteria

exercises (20%), reports (80%)

Related courses

  • CVE.D201 : Infrastructure Planning
  • CVE.D301 : Traffic and Transportation Systems
  • CVE.D311 : Public Economics
  • CVE.D405 : Transportation Science and Simulation

Prerequisites

Students must have successfully completed CVE.D201, CVE.D301, and CVE.D311 or have equivalent knowledge.