Abstract
The search for better urban living has significantly increased the demand for efficient and sustainable multimodal transportation systems in large urban areas. This should favor emergence of balanced transportation systems that use each mode for what it does best. However, the development of urban transportation policies partly relies on the availability of appropriate data and then information. The research introduced in this paper proposes a multimodal and multiscale data model oriented to the representation of the urban transportation system of the city of Guangzhou in China. The model introduced takes into account different transportation modes and integrates them within a federated data model designed using an object-oriented approach. Such a model allows the development of specialized services designed after a survey and study of users’ and planners’ requirements. The approach is experimented in a district of the city of Guangzhou and validated by a prototype development. This experimental system enables transportation planners and decision-makers to take better decisions effectively, and provides high quality geospatial information-based services to final end-users.
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Chen, S., Claramunt, C., Ray, C., Tan, J. (2009). A Multiscale and Multimodal Transportation GIS for the City of Guangzhou. In: Popovich, V.V., Claramunt, C., Schrenk, M., Korolenko, K.V. (eds) Information Fusion and Geographic Information Systems. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00304-2_6
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DOI: https://doi.org/10.1007/978-3-642-00304-2_6
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