City planners, transportation engineers, and policymakers rely on data from the public to design effective transportation systems, create policies, and develop investment strategies. Gathering this vital information is achieved through methods such as household surveys that capture travel demand data. A crucial aspect of analyzing this data is understanding the difference between apparent demands and latent demands, with a focus on examining suppressed and diverted travel demands. These demands are key to developing more effective transportation policies and planning strategies. The primary objective of this thesis is to identify and analyze travel demands in Izmir, comparing them with actual travel behaviors to explore the differences between suppressed and diverted demands. This research draws on data from an online survey conducted with approximately 913 participants representing Izmir. The survey assessed current travel behaviors as well as suppressed and diverted demands, using both stated and revealed preference techniques. Initial analyses using the chi-square test revealed significant differences between diverted and suppressed demands compared to current travel behaviors. Further categorical data analysis showed that all demand types had a significant relationship with current travel preferences. Notably, suppressed and diverted demands were most prevalent in modal choice, with a strong preference for rail systems. The study found that 43% of the demand is diverted by mode, while 80% of the demand is suppressed. Additionally, 25% of participants cited traffic congestion as the most influential factor in determining their travel demand.