Down below, you can find two links for two simulation programs: an open urban model and a closed urban model. The two models share the same assumptions that the households in a city have the same income and preference and people live in a monocentric city with a dense hub-and-spoke commuting network. For the mathematical details of the two models, you can refer to the book by Professor John Yinger, "Lecture Notes in Urban Economics and Urban Policy."

This simulation program runs on JAVA Runtime Environment (JRE), so your computer should have it installed. Go java.com, download Java for Windows, and install it. Java applets are not now allowed in most web browsers, but if you still have Microsoft Internet Explorer (IE), you can use this simulation program by following the directions.

First, open the "Control Panel" of your computer, then choose the "Program." Then, you can see Java (32bits) with the Java icon. The Java control panel will pop up, then select the Security tab. At the bottom of the Security panel, you can add my homepage url (http://itip.kaist.ac.kr) to the Site List with Exceptions.

Second, After opening the IE, select "Tools," "Internet Options," "Security" tab, "Trustable Sites," and "Sites," where you need to add also my homepage url. After adding my homepage url, close the IE, reopen it and then go to http://itip.kaist.ac.kr/urban. Upon visiting the site, a window pops up asking if you run (execute) the application or not. Select “run (execute).” Now, you can see the two buttons activated for opening urban simulation models under "Click a button below to perform urban model simulations."

The id and the password for the closed model are "maxwell" and "orange", respectively.

You can change six parameter values (co, MPH, w, Rbar, Y, and VI or N) to perform simulation studies in the two urban models. The first five parameters are common in both models. In the open urban model, the last parameter is "the utility index (VI)," and, in the closed model, it is the total number of residents (N) living in the city.

Simulation results are sensitive to parameter values, so I set the limits of the parameter values to generate nice-looking graphs. The following table shows explanation of the abbreviated terms and the ranges of parameter values you can modify. The values in parentheses are default values for the base simulation that I set, and you cannot alter them.