INTEGRATED DATA MODEL FOR GIS-BASED MULTI-MODAL TRANSPORTATION SYSTEM:APPLICATION TO THE CITY OF GUANGZHOU, CHINA

Researches and experiments in the field of transportation studies have proved that an effective and robust urban transportation system can favour sustainable urban development and optimisation of transportation facilities. Modelling urban transportation information is an engineering and research issue that has attracted the design of many conceptual and logical data models. However, the application of these models to urban systems is a challenging task especially when public transportation systems are made of several transit networks. This often leads to the development of specialised data models that do not favour the development of integrated approaches. This paper introduces an existing public transportation data model as currently developed in the city of Guangzhou in China, and a novel approach that integrates multi-modal transit network data, and multiple representations of network components. The main goal of our research presented is to develop a conceptual integrated GIS data model for a multi-modal transportation system. The resulting model is specified using an UML-based,object-oriented visual modelling tool integrated with spatial plug-in for visual languages (PVLs).