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Proceedings Paper

An integrated GIS-based data model for multimodal urban public transportation analysis and management
Author(s): Shaopei Chen; Jianjun Tan; C. Ray; C. Claramunt; Qinqin Sun
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Paper Abstract

Diversity is one of the main characteristics of transportation data collected from multiple sources or formats, which can be extremely complex and disparate. Moreover, these multimodal transportation data are usually characterised by spatial and temporal properties. Multimodal transportation network data modelling involves both an engineering and research domain that has attracted the design of a number of spatio-temporal data models in the geographic information system (GIS). However, the application of these specific models to multimodal transportation network is still a challenging task. This research addresses this challenge from both integrated multimodal data organization and object-oriented modelling perspectives, that is, how a complex urban transportation network should be organized, represented and modeled appropriately when considering a multimodal point of view, and using object-oriented modelling method. We proposed an integrated GIS-based data model for multimodal urban transportation network that lays a foundation to enhance the multimodal transportation network analysis and management. This modelling method organizes and integrates multimodal transit network data, and supports multiple representations for spatio-temporal objects and relationship as both visual and graphic views. The data model is expressed by using a spatio-temporal object-oriented modelling method, i.e., the unified modelling language (UML) extended to spatial and temporal plug-in for visual languages (PVLs), which provides an essential support to the spatio-temporal data modelling for transportation GIS.

Paper Details

Date Published: 5 November 2008
PDF: 12 pages
Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71442W (5 November 2008); doi: 10.1117/12.812854
Show Author Affiliations
Shaopei Chen, Guangzhou Institute of Geochemistry (China)
Naval Academy Research Institute (France)
Graduate School of the Chinese Academy of Sciences (China)
Jianjun Tan, Guangzhou Institute of Geochemistry (China)
Guangzhou Sample Information Technology Co., Ltd. (China)
C. Ray, Naval Academy Research Institute (France)
C. Claramunt, Naval Academy Research Institute (France)
Qinqin Sun, Guangzhou Institute of Geochemistry (China)
Graduate School of the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 7144:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Xinhao Wang, Editor(s)

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