Référence:
CHAPLEAU, Robert (2003). Visualisation of the Urban Transportation Reality: Some Key Views, 10th International Conference on Travel Behaviour Research, Lucerne, Suisse, 30 pages. |
Type:
Conférence avec publication
Organisme:
International Association for Travel Behaviour
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Résumé
An image is worth 1000 words
Not always
visualisation is necessarily a hybrid of im-ages and words, says J.C. Dürsteler (2000). Even at the cost of heavier files, it is also agreed that images are more effective to show structural relations, location information and for provid-ing detail and appearance. As such, synthetic images should be preponderant and relevant in representing urban transportation reality.
Since many years, spatio-temporal demand/supply phenomena have been represented by several drawings and maps. The more traditional representations (desire lines, spider-web network, bus route load profile) were already recommended in the era 1958-1964 (Public Administration Service), and in Potts and Oliver (1972). Now, GIS (Longley and al., 2001; Chrisman, 2002) takes all the place.
Besides, as cited by Dueker and al., in integrating the three technologies the GUI (graphical user interface), the DBMS (database management system), and the spatial modeling tools GIS becomes a powerful spatial information system capable of digital mapping, managing, analyz-ing and presenting spatial information and associated attributes. Correspondingly, the present report goes further, and focuses on a selected sample of images that are elaborated within the context of several transportation analyses conducted in the Greater Montreal Area in the recent years. Because of the information technology environment supporting the Totally Disaggregate Approach (Chapleau, 1992), extensive databases from large-scale Origin and Destination sur-veys have been processed to respond to numerous questions and audiences. Concurrently, cen-sus data, travel demand, GIS, road and transit networks databases have to be processed in a very consistent fashion. For that reason, graphic interfaces are commonly utilised to check and vali-date complex analytical environment.
Thus, the paper shows several concepts and examples from three classes of urban transportation analysis by visualisation: static spatial data to express variable level of a typical aggregate char-acter, network analysis data when looking at equity and performance issues, and interactive rendering of huge data sets for sharing with specialized and selected audiences. |