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Publication Detail
A spatio-temporal data model for activity-based transport demand modelling
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Wang D, Cheng T
  • Publisher:
    Taylor and Francis
  • Publication date:
  • Pagination:
    561, 586
  • Journal:
    International Journal of Geographical Information Science
  • Volume:
  • Issue:
  • Status:
  • Print ISSN:
This paper develops a spatio-temporal data model to support activitybased transport demandmodelling in a GIS environment.This so-called mobilityoriented spatio-temporal data model conceptualizes the spatial and temporal interaction of travel and activity behaviour using the concept of mobility. In other words, activity patterns are conceptualizedas a sequence of staying at or travelling between activity locations. The model can support the analysis and queries of activities from diOEerent perspectives, i.e. queries can be location-based, time-based, and person-based. It can also support activity-based modelling by identifying spatial and temporal opportunities for activity participation. The conceptual and logical designs of the data model are presented. A prototype system based on the data model is implemented in ArcView. The prototype is illustrated and tested by a case study based in Hong Kong.
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