In the lead up to my master thesis, I’ve acquired knowledge in computer engineering and geospatial sciences and a grown passion for public transport. Now being a student of Computer Science specializing in Open e-Government, I wanted to utilize everything I know and love into the thesis.
This thesis addresses the pressing need for an efficient public transport system in response to increasing urban population and rising fossil fuel costs. The research aims to satisfy that need by answering the research question guiding this study is: “How can developing an SDI-based conceptual model, leveraging cloud computing, optimize public transport by integrating multiple travel data sources and overcoming data fragmentation and interoperability challenges?“.
The outcome of this study is the development of an integrated conceptual model that leverages SDI and digitalization to optimize public transport systems. The model offers a comprehensive solution by addressing the limitations of traditional transport planning methods, integrating multiple data sources, technologies, and stakeholders within an SDI framework. The model demonstrates efficacy, efficiency, and practical significance, setting the stage for further research and advancements in transport planning and optimization.
You can read the thesis here.