2010Technology and Economy in Areas of CommunicationsRequires access

Forecasting of Urban Vehicle Ownership Based on Sub-extrapolation Method

XU Hua-bing

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Abstract

The forecast of vehicle ownership is a basic work to urban transportation planning and also is an important basis for urban to make a variety of travel demand management measures.By analyzing the effect to the urban vehicle ownership that divided the city into different traffic areas and established the corresponding evaluation model for a comprehensive evaluation of each district.At the same time,used the past car ownership information of a district,we established the forecasting of urban vehicle ownership based on sub-extrapolation model,which provided an efficient way for urban car ownership in recent forecast.

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What this paper is about

The forecast of vehicle ownership is a basic work to urban transportation planning and also is an important basis for urban to make a variety of travel demand management measures.By analyzing the effect to the urban vehicle ownership that divided the city into different traffic areas and established the corresponding evaluation model for a comprehensive evaluation of each district.At the same time,used the past car ownership information of a district,we established the forecasting of urban vehicle ownership based on sub-extrapolation model,which provided an efficient way for urban car ownership in recent forecast.

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Available abstract

The forecast of vehicle ownership is a basic work to urban transportation planning and also is an important basis for urban to make a variety of travel demand management measures.By analyzing the effect to the urban vehicle ownership that divided the city into different traffic areas and established the corresponding evaluation model for a comprehensive evaluation of each district.At the same time,used the past car ownership information of a district,we established the forecasting of urban vehicle ownership based on sub-extrapolation model,which provided an efficient way for urban car ownership in recent forecast.

Key concepts: Car ownership, Extrapolation, Variety (cybernetics), Work (physics), Transport engineering, Business, Environmental economics, Computer science

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