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2025 (Current Year) 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 (W5-105) / 7-8 Thu (W5-105)
Class
-
Course Code
CVE.D406
Number of credits
200
Course offered
2025
Offered quarter
4Q
Syllabus updated
Oct 3, 2025
Language
Japanese

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; monocentric model (closed city)

Class 3

Evolutionary game theory

population game

Class 4

Evolutionary dynamics

evolutionary dynamics; revision protocol

Class 5

Properties of equilibrium

existence; uniqueness; stability

Class 6

Economic analysis of traffic congestion

traffic congestion model; negative externalities

Class 7

Mid-term presentation

presentation

Class 8

Empirics in urban economics I

land use regulations

Class 9

Land use model with traffic congestion

congestion pricing; land use

Class 10

System of cities: equilibrium and optimum

system-of-cities model; city size

Class 11

New economic geography

new economic geography model; bifurcation

Class 12

Quantitative spatial economics

quantitative spatial model; quantitative urban model

Class 13

Computable general equilibrium model

SCGE (spatial computable general equilibrium) model

Class 14

Empirics in urban economics II

agglomeration

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.