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A Neural Network Based Car Ownership Model

Applications of Advanced Technologies in Transportation Engineering (2004), 2004
With the economic growth and the improvement of living standard, car ownership in China increases rapidly. It exerts enormous pressure on transportation services. It is necessary to forecast China car ownership for urban transport planning, transport infrastructure improvement and traffic management in terms of economic level, urban configuration ...
Yang, Z. (Zhongzhen), Feng, T.
openaire   +2 more sources

Car-sharing intention analysis in Japan by comparing the utility of car ownership for car-owners and non-car owners

, 2020
Car sharing (CS) service has grown as one of the components of multimodal mobility in urban transport and it is expected to lead to a reduction in personal car ownership, thereby mitigating urban congestion and parking demand.
K. Ikezoe, Eriko Kiriyama, S. Fujimura
semanticscholar   +1 more source

How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model

Journal of Transport Geography, 2019
Although many studies investigate the connection between the residential built environment and car ownership, the literature offers limited evidence on the effect of work locations.
C. Ding, X. Cao
semanticscholar   +1 more source

The role of car ownership in attitudes towards public transport: A comparative study of Guangzhou and Brisbane

Transportation Research Part F: Traffic Psychology and Behaviour, 2019
Car ownership has often been linked to a strong commitment to car use and a tendency to undervalue alternative transport modes, thereby potentially biasing people away from using more environmentally friendly transport modes such as public transport ...
Sui Tao, Sylvia Y. He, J. Thøgersen
semanticscholar   +1 more source

Impact of a ridesourcing service on car ownership and resulting effects on vehicle kilometers travelled in the Paris Region

, 2020
The question of the impacts of ridesourcing on traffic externalities has emerged as a widely debated topic, and as a fundamental matter to address everywhere ridesourcing services developed.
Alina Bekka, N. Louvet, François Adoue
semanticscholar   +1 more source

Car Ownership in Australian Cities

Town Planning Review, 1960
is commonplace that car ownership varies markedly from city to city1 and that in general ownership is lower For urban than for rural areas.2 Origin and destination surveys of the home interview type have also demonstrated that in American cities ownership tends to increase with increasing distance from the city centre and to decrease with increasing ...
openaire   +1 more source

A micro-model of car ownership dynamics: are preferences changing?

Transportation letters, 2020
The objective of this paper is to examine whether and, if so, to what degree car ownership preferences of different age cohorts are changing over time.
Andrea Papu Carrone, Jeppe Rich
semanticscholar   +1 more source

Effects of a Kilometre Charge on Car Use, Car Ownership and Relocation

2008
This chapter summarizes the most important findings from an empirical survey among car owners in the Netherlands with the aim of investigating behavioral responses to different types of kilometer charge. Three different types of responses are discussed: (1) a number of short-term responses; (2) car ownership responses; and (3) spatial responses.
Ubbels, B.   +3 more
openaire   +3 more sources

The gap between and determinants of growth in car ownership in urban and rural areas of China: A longitudinal data case study

Journal of Transport Geography, 2019
Growth in car ownership plays an important role in improving personal mobility and well-being. Social inequality in car ownership between urban and rural areas is a key issue for those concerned with transport justice, and is increasingly attracting the ...
P. Zhao, Yunxi Bai
semanticscholar   +1 more source

Nonlinear and interaction effects of land use and motorcycles/E-bikes on car ownership

Transportation Research Part D: Transport and Environment, 2022
Qifan Shao   +3 more
semanticscholar   +1 more source

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