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 thesis adopts a design science research methodology. The research strategy employed is theoretical research, utilizing various methods such as literature review, theoretical sampling, theory testing survey research, brainstorming, prototyping, cognitive walkthrough, and expert opinion. 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. Limitations of the study include the absence of detailed technical specifications, the confinement to a conceptual model without implementation, and the need for further adaptation and validation in different contexts. In conclusion, this thesis offers a valuable contribution by providing a holistic solution that integrates multiple data sources and technologies within an SDI framework. Stakeholders such as PTAs, planners, and researchers can utilize the findings to enhance transport planning and address data and interoperability challenges.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:su-219599 |
| Date | January 2023 |
| Creators | Grubisic, Franka |
| Publisher | Stockholms universitet, Institutionen för data- och systemvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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