GPS Data and Car Drivers’ Parking Search Behavior in the City of Turnhout, Belgium - Geoinformatics for Intelligent Transportation - page 245

Fig. 4 Basic representation of GPS observation

Table 2 List of investigated street segment characteristics
Attribute Levels

Walking distance between street segment and center Meters/10

Distance between street segment and closest parking facility Meters/10

Presence of parking lot Yes, no

Presence of parking garage Yes, no

Presence of on-street parking Yes, no

Presence of houses Yes, no

Presence of shops Yes, no

Number of allowed driving directions One way, two way

Presence of dynamic parking guidance system Yes, no

Parking tariff Euros per hour

Street type Primary, secondary

For planning purposes the individual GPS tracks could be related to character-
istics of individual street segments and/or routes (a set of linked street segments).
This can be done in various ways as shown in the section about (modeling) parking
search behavior. For illustration purpose, in this study the use of street segments is
related to attributes of the street segments using regression analyses. In the analyses,
the dependent variable is the natural logarithm of the number of times a street
segment is used for searching. A variety of street segment attributes are used as
independent variables (Table 2 ). The selection of interesting variables was based on
existing literature (see before) and the ease of gathering information regarding the