PROGRESS IN GEOGRAPHY ›› 2009, Vol. 28 ›› Issue (3): 376-383.doi: 10.11820/dlkxjz.2009.03.008

• Original Articles • Previous Articles     Next Articles

Multi-scale and Multi-modal Urban Transportation Network GIS Data Model

CHEN Shaopei1,2, TAN Jianjun1| LI Yingyuan3   

  1. 1. Guangzhou Institute of Geochemistry, CAS, Guangzhou 510640, China|
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China|
    3. Guangzhou CASample Information Technology, CO., Ltd, Guangzhou 510630, China
  • Online:2009-05-25 Published:2009-05-25

Abstract:

Multi-modal  transportation  has  been  an  essential  pattern  of  urban  transportation. Sustainable transportation should favour emergence of balanced transportation systems that use each mode for what it does best. The development of sustainable transportation partly depends on reliable  data  and thus information. Single-modal transportation geographical  information system (GIS) cannot precisely reflect the characteristics and relationships of urban transportation spatial networks. Therefore, a study on multi-modal  urban  transportation  network data  integration  and presentation has been an importation task in transportation GIS. This paper introduced a study on multi-scale  and  multi-modal  transportation  geographical  information  system data model. This implies a support for an integration of different urban transportation networks, modelling of topological  relationships  and  multi-modal  network  analysis  and  representation.  The  model introduced takes into account different transportation modes (including road, bus, metro and pedestrian facilities) and integrates them within a federated data model designed using an object-oriented approach. The approach extends Unified Modelling Language (UML), and integrates plug-in for visual languages (PVL) to represent spatial and temporal semantics of transportation objects. The model provides different scale levels to represent transportation network, that is, transportation network is represented at multiple abstraction levels to meet different applications. Such model allows the development of specialised services designed after a survey and study of users’ and planners’ requirements. The model is applied to 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.

Key words: geographical information system for transportation (GIS-T), multi-modal urban transportation system, object-oriented modelling method