Commercial traffic constitutes a significant part of traffic. For long distances, goods traffic prevails, but in metropolitan areas, service-related traffic (traffic resulting from services delivered to customers at home, offices, constructions sites, and so forth) takes the lead and is growing. This latter kind of traffic is primarily passenger traffic with a commercial purpose. Although goods (e.g., tools) may be transported along with the person (e.g., agent, worker), the major purpose of service trips is the movement of the person. It is common practice to forecast transport demand for private passenger traffic and goods traffic. Dedicated models for service traffic are rare, not only because of a lack of recognition by transport planners of the particularities of service traffic but also because of the complexity of analyzing and depicting service traffic. One characteristic of service traffic is that it consists of tours that may connect more than one destination with the origin of the tour. Many trips are made by commercial vehicles that are registered to a company or an organization, but owners of private vehicles also use their cars for commercial trips. Because surveys can collect information on trip chains only for a sample population, a method is needed to derive the total demand from this sample. Surveys about private and commercial vehicles used for service trips are particularly useful. Such a methodology is introduced for extrapolating traffic demand from trip chain data. The method is applicable not only to service traffic but also to all tour-based traffic.


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    Title :

    Estimating Service-Related Traffic Demand from Trip Chain Data


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2013-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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