Comprehensive Freight Demand Data Collection Framework for Large Urban Areas - Sustainable Urban Logistics: Concepts, Methods and Information Systems - page 105

Table 7 (continued)

Data Objective Target population Data to be collected Data collection approach Output

Agent spatial
distribution

Describe the
geographic
patterns of
location of the
various agents
involved in the
freight system

Primary: Businesses in
freight related sectors.
Secondary: Businesses
in non-freight related
sectors that may need
or produce freight in a
sporadic fashion

Company attributes (e.g.,
number of employees,
sales, industry sector,
line of business)

Direct purchase of a
sample from data
aggregators

Dataset containing
georeferenced
locations of
establishments
involved in freight
activity, together with
company descriptors

Large traffic
generators

Describe the freight
production-
consumption
patterns, and the
corresponding
generation of
freight trips at
LTGs

Primary: Businesses in
freight related
sectors.Secondary:
Businesses in non-
freight related sectors
that may need or
produce freight in a
sporadic fashion

Company attributes;
frequency of
deliveries; amount of
cargo received;
commodities most
frequently received /
shipped; time of
deliveries; among
others a

Large Establishments:
interviews based on
random sampling of
potential participants.
Large Buildings:
Manual counts and
interviews at the
receiving stations

Dataset with estimates of
number of deliveries,
number of truck-trips
produced, amount of
cargo (tons), by
commodity type, and
company attributes

Special purpose
models

Dataset containing
company
characteristics and the
Stated/Revealed
Preference data
needed for behavioral
modeling
Note Some of the data could be purchased from data aggregators (e.g., Dun and Bradstreet, InfoUSA), but may not be as accurate as advertised

Collect data to
estimate
behavioral
models and to
support the study
of specific policy
questions

Depends on the specific
choice process to be
modeled

Data required include
company
characteristics and
stated preference (SP)
and revealed
preference (RP)

Computer aided telephone
interviews (CATI)
based on random
sampling of potential
participants