This study explores the potential of serious games as an innovative tool for data collection in transport planning. Traditional collection methods such as surveys, experiments and simulations often fall short. Surveys often suffer from low engagement while experiments can be resource-intensive and costly. Simulations, on the other hand, may lack real data on user perspectives. Serious games address these issues by engaging users in a risk-free explorative environment. Serious games are designed with purposes beyond entertainment, simulate real-world scenarios and human behaviors to offer solutions to various challenges. Furthermore, these games can be utilized in AI and machine learning algorithms where extensive amount of data is needed. Additionally, serious games can be particularly useful in future scenarios with no existing data such as the introduction of new, more sustainable transportation policies or technologies, by simulating how individuals might response and adapt to these changes. Serious games applications have been mainly in education and training both in research and industry.