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Pages 122-128

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From page 122...
... 118 This chapter summarizes the current literature on data collection techniques and data sources. The review focuses on two main topics: • Data collection techniques.
From page 123...
... 119 Data class Items Freight generation data (amount of commodities, vehicle trips, deliveries) Production Consumption Delivery tours Sequence of stops Location of deliveries Commodity, vehicle-trip OD flows Empty trips Economic characteristics of participating agents Shippers, warehouses, forwarders Carriers Receivers Spatial distribution / Location of participating agents Shippers, warehouses, forwarders Carriers Receivers Network characteristics Travel times, costs Use restrictions Capacity Traffic volumes Other economic data Production functions Demand functions Input-Output technical coefficients Source: Holguín-Veras et al.
From page 124...
... tremendously the data collection process. Consequently, it seems clear that a comprehensive approach to freight data collection is best, and to fully describe what happens in the system, a combination of methods may be required.
From page 125...
... 121 WIM, however, may be expensive, and is only deployed at limited locations. Other AVC methods include: pneumatic tubes, loop detectors (or other types of magnetic detectors)
From page 126...
... 122 Primary Data Sources There are a large number of primary data sources on freight activity, though the coverage they provide is still lacking. For a comprehensive review of data sources, the reader is referred to Holguín-Veras et al.
From page 128...
... 124 When using ITS or GPS data, one should recognize that the data do not have direct connections to characteristics of freight trips such as shipment purposes, and shipment type or size. Therefore, they should be used with care; particularly one should provide appropriate freight contents to ITS and GPS data, and make sure these data can be "explained" from freight activity perspectives before being used in FTG modeling.

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