Title: MULTI-SCALE AND MULTI-MODAL GIS-T DATA MODEL A CASE STUDY FOR THE CITY OF GUANGZHOU, CHINA
Abstract: Urban transportation development is undergoing continuous change often prompted by the society, economy and environment, and policy-directed responses. The role of public transportation becomes increasingly important with the changes of demographic and economic patterns. The trend of better urban living for inhabitants has significantly increased the demand for efficient and sustainable public transportation in urban area. Although information sciences and technologies have provided many solutions to transportation sustainable development, the transportation network data modelling issue continues to be a challenge due to the complexity of urban systems. GIS appears as an appropriate technology for spatially and temporally referenced data. This thesis investigates how non-spatial, spatial and temporal data can be integrated within a data model of multi-scale and multi-modal GIS-T to formulate and evaluate transportation service and development. The model was developed based on a set and specific objectives, requirements and criteria. The set criteria are proposed taking into consideration the objectives to improve the development and accessibility of multiple transportation networks. A case study is undertaken within a selected transportation system in the city of Guangzhou, China. The prototype system implements appropriate multi-modal transportation applications and services in a GIS environment, which can be identified taking into account the needs of multiple transportation modes. The approach assists in the planning and development of a multi-modal transportation network, and thus optimizing usage of transportation GIS applications.