地理科学进展 ›› 2009, Vol. 28 ›› Issue (3): 376-383.doi: 10.11820/dlkxjz.2009.03.008

• 产业发展与区域经济 • 上一篇    下一篇

城市交通网络的多尺度地理信息系统数据建模

陈少沛1,2|谭建军1|李英远3   

  1. 1. 中国科学院广州地球化学研究所, 广州510640; |2. 中国科学院研究生院, 北京 100049;
    3. 广州中科盛博信息技术有限公司|广州 510630
  • 出版日期:2009-05-25 发布日期:2009-05-25
  • 作者简介:陈少沛(1978-)|男|博士研究生|主要研究方向为地理信息系统及交通模型等。E-mail:cshaopei@gmail.com
  • 基金资助:

    广东省自然科学基金项目(7006314);中国科学院资源与环境信息系统国家重点实验室开放研究基金项目(A0717)

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

摘要:

多模式交通是未来城市交通的重要形式,多模式交通系统要求每个交通模式平衡发展并发挥其最好的服务性能。可靠的数据和信息获取是建立可持续多模式交通系统的基础。单一模式的交通地理信息系统信息模型不能准确地反映城市交通空间网络的特性和联系程度。针对此问题,提出一种面向多尺度多模式的城市交通网络地理信息系统数据模型,支持多模式交通网络地理数据集成化和拓扑关系模型化,实现多模式交通数据的综合分析和表达。数据模型在概念和逻辑建模层面上,应用面向对象设计语言及其扩展机制集成面向地理信息时空特征描述的可视化语言插件(plug-in for visual languages, PVL),将不同交通线网集成于一个综合信息模型中。交通线网的多尺度表达允许不同的交通地理信息系统应用和专业化信息服务的开发和实现,辅助多模式交通网络规划和发展,并且进一步优化城市交通的应用。将模型应用在广州市多模式交通系统中进行可靠性和实用性验证,对未来相关的研究和应用具有指导意义。

关键词: 多模式城市交通系统;交通地理信息系统;面向对象建模方法

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