Based on spatial data modeling, bus transit features can be represented at different levels of detail, which provides
possibility of more precise estimation of travel impedance. The simple route-stop bus data model is efficient at the macro
level and has been applied in many transport-related applications. However, a more comprehensive data model is needed
to cope with different levels of needs as well as complicated situations existing in heavily bus-oriented cities. For this
purpose, a bus transit data model is developed based on representation of transit features at the detailed spatial level.
With this data model, the impedance between any pair of routes at each transfer junction can be computed. For testing
the data model, an integrated approach is developed to identify optimal bus trips with consideration of both on-board
travel time and transfer time.
Various accessibility measures have been developed for evaluating transit service efficiency. The exponential or logistic
type of accessibility model makes use of the phenomenon of distance decay around transit stops, in which distance is a
key variable. To reflect the effect of overlapping service between adjacent stops, a weighted distance is developed. The
weighted distance is the Euclidean distance weighted by accessible number of transit lines, which is derived either by the
integral distance function or the inverse distance weighted interpolation. By combining disaggregated population data,
the service capabilities of all bus stops are computed. The stops can be categorized based on the service capability to
provide new insight for transit planning and evaluation.
KEYWORDS: Data modeling, Databases, Roads, Prototyping, Geographic information systems, Algorithm development, Systems modeling, Data integration, Lawrencium, Information technology
Due to the phenomenon of route overlapping, issues with bus transit have never been easily handled. For transit models and transit trip guidance, accurate quantitative data have to be retrieved from transit database. The appropriate representation of bus transit entities is of key importance in these tasks. The simple route-stop bus data model is efficient at the macro level and has been applied in many transport-related applications. However, a more comprehensive data model is needed to cope with different levels of needs as well as complicated situations existing in heavily bus-oriented cities. A multi-tier, object-oriented bus data model is developed in response to these requirements. The multi-tier data model puts transit features under one unified framework, which facilitates multi-scale applications of bus transit system.
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