event-based data model for transportation information systems

Trip-based data can provide important information about travel patterns and travel characteristics of people. To handle this type of transportation movement data in GIS (Geographic Information Systems), a new data model is needed to incorporate different aspects of a transportation movement with its spatial properties. From the study presented in this thesis, an event-based data model for transportation movement data was developed with the concepts of object orientation, feature-based approach, and relative referencing methods. The implementation of this new data model with a prototype system shows the capability of this data model in handling transportation movement data. This data model has also improved the information retrieval ability provided by the current GIS data models.