Modelling Parking Based Trips
Author(s)
A. Levashev, A. Mikhailov & I. Golovnykh
Abstract
Nowadays, Russia is going through an era of rapid growth in private car
ownership. This has resulted in new trends in Russian transportation planning
practice. Previously in the USSR, private car ownership accounted for ten
percent of the total passenger flow divided by the car occupancy. However, the
rapid growth of private car ownership is only one aspect among many other
significant changes in Russian socio-economic life. Consequently, Russian
transportation planning has been challenged immensely. It is becoming
necessary to forecast private car usage taking into account reasons for different
journeys. Unfortunately, there are no current statistics in Russia that describe
what we have defined as trip generation rates of different object types. Statistics
collected during the Soviet era is included in urban planning manuals, but now
this data is completely inconsistent with the current situation. The Transportation
Laboratory of Irkutsk State Technical University launched regular investigations
into the main indices of trip generation. The estimation of parking demand
generation and parking accumulation is very laborious. In order to make parking
surveys more effective the Laboratory proposed to collect video records from the
security cameras of the parking facilities. The objective of the survey is to
calculate the numbers of arriving and departing vehicles for each defined time
period. The mathematical formula used to calculate parking duration is equal to
the OD matrix estimation from traffic counts. The application of this method
allows for the collation of all basic data, which is essential to calculate and
forecast all factors of parking statistics. That makes possible to develop
aggregated and disaggregated transport models including trip generation rates
caused by different land use patterns, to plan shared parking and establish tariff
policy applied to different parking lots.
Keywords: parking facility, parking demand estimation, parking duration.
Keywords
Keywords: parking facility, parking demand estimation, parking duration.
Related Book
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