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Automobile Ownership, Households Without Automobiles, and Urban Traffic Parameters: Are They Related?

Authors: Karlaftis, M; Golias, J;

Automobile Ownership, Households Without Automobiles, and Urban Traffic Parameters: Are They Related?

Abstract

Most research to date on automobile ownership has concentrated on establishing links between various socioeconomic factors and automobile ownership, without much regard to urban traffic parameters that may affect ownership rates. To address the issue of the effect of traffic parameters on ownership rates, the study takes a twofold approach. First, it investigates whether traffic characteristics and network efficiency parameters influence automobile ownership. Second, it investigates whether not having an automobile (autolessness) is also affected, and to what degree, by these parameters. The results clearly suggest that the variables affecting automobile ownership and autolessness are not the same. It further suggests that traffic network and efficiency parameters do not, on one hand, affect autolessness, but they do, on the other hand, affect the number of automobiles owned by a household. What this seems to imply is that a household’s decision to purchase the first automobile is primarily based on socioeconomic factors, whereas the decision to purchase a second automobile (or more) is largely based on traffic network, efficiency, and transit level-of-service parameters.

Country
Australia
Keywords

Mass transit, 330, Public transit, Traffic characteristics, Automobile ownership, ridership - commuting, Autolessness, Socioeconomic aspects, Network efficiency, Socioeconomic factors, place - urban, Local transit, operations - traffic, Transit, Urban areas, Level of service, mode - mass transit

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Average
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