2009地理科学进展Requires access

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

Tan Jian-jun

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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 spatia 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. Thi implies a support for an integration of different urban transportation networks, modelling o topological relationships and multi-modal network analysis and representation. The mode 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 mode 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 geospatia information-based services to final end-users.

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What this paper is about

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 spatia 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. Thi implies a support for an integration of different urban transportation networks, modelling o topological relationships and multi-modal network analysis and representation. The mode 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 mode 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 geospatia information-based services to final end-users.

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Available 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 spatia 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. Thi implies a support for an integration of different urban transportation networks, modelling o topological relationships and multi-modal network analysis and representation. The mode 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 mode 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 geospatia information-based services to final end-users.

Key concepts: Modal, Flow network, Transport engineering, Computer science, Transportation planning, Scale (ratio), Advanced Traffic Management System, Data model (GIS)

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