CONCLUSION
The number of large scale condominium construction projects has dramatically increased. Many projects have occurred in either densely populated areas or in central business districts, where traffic conditions are usually highly congested. To prevent traffic problems, a traffic impact study must be prepared and submitted for review by concerned public authorities. Unit trip generation rates are important data in traffic impact
analysis. Without accurate unit trip generation rates, public agencies cannot obtain accurate information on the traffic that will be generated. This research
attempts to determine a model that can effectively predict trip generation rates during condominium construction in Bangkok.
The 30 selected construction sites located both in CBD and other locations were the sample size of this research. Rates of entry and exit on the construction
site for one week, condominium types (high rise and low rise), number of dwelling units, and gross space in use were collected by trained surveyors. Linear regression models involving one dependent variable and one independent variable were used for analysis