2003•Unpublished venueRequires access

URBAN TRANSPORT DIFFERENT CONDITIONS

N Vibev

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Abstract

An international database with information about 43 cities is analyzed to show connections for personal transport on the one hand and the volume of journeys and choice of transport on the other. Costs of using a car and public transport, the capacity of the road network, car density, surface coverage, the size of the vehicle fleet, access to parking places, journey speeds and the proportion of truck based transport have independent effects on the probability of choosing to use public transport rather than the car. The situation in 6 Norwegian cities where tests with alternative forms of organizing local public transport provisions are underway, is also described in a similar way. Here, strong connections between the framework conditions of public transport and the choice of transport can also be demonstrated.

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What this paper is about

An international database with information about 43 cities is analyzed to show connections for personal transport on the one hand and the volume of journeys and choice of transport on the other. Costs of using a car and public transport, the capacity of the road network, car density, surface coverage, the size of the vehicle fleet, access to parking places, journey speeds and the proportion of truck based transport have independent effects on the probability of choosing to use public transport rather than the car. The situation in 6 Norwegian cities where tests with alternative forms of organizing local public transport provisions are underway, is also described in a similar way. Here, strong connections between the framework conditions of public transport and the choice of transport can also be demonstrated.

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Available abstract

An international database with information about 43 cities is analyzed to show connections for personal transport on the one hand and the volume of journeys and choice of transport on the other. Costs of using a car and public transport, the capacity of the road network, car density, surface coverage, the size of the vehicle fleet, access to parking places, journey speeds and the proportion of truck based transport have independent effects on the probability of choosing to use public transport rather than the car. The situation in 6 Norwegian cities where tests with alternative forms of organizing local public transport provisions are underway, is also described in a similar way. Here, strong connections between the framework conditions of public transport and the choice of transport can also be demonstrated.

Key concepts: Public transport, Transport engineering, Truck, Passenger transport, Norwegian, Private transport, Business, Engineering

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