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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao The Annals of Region...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
The Annals of Regional Science
Article . 1973 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Locational factors in automobile ownership decisions

Authors: Martin J. Beckmann; Richard L. Gustafson; Thomas F. Golob;

Locational factors in automobile ownership decisions

Abstract

An economic utility theory model specifying automobile ownership decision-making in terms of intra-urban locational factors is presented. The long-range objective of the research is to provide an improvement in urban transportation planners' understanding of the relationships between automobile ownership by families residing within urban environments and the supply of transportation system facilities and services. Determinant variables in the model are: the spatial locations of trip destinations accessible to urban travellers with and without use of an automobile and at various times of day, the respective travel times to these destinations by auto and by alternate public transit modes, and the yearly capital and operating cost of automobile ownership in excess of cost by the alternate mode(s). Explicitly evaluated factors in the theory of decision-making proposed include the perceived benefits to tripmakers of travelling to destinations at various times, and the values placed on leisure time and consumption of all other goods. Emphasis is placed on decisions to purchase a second car, predictions of which are particularly relevant to urban transportation planning. Empirical tests for application with traditional transportation planning data are developed for various model hypotheses. These hypotheses are interpreted in terms of future research needs and directions.

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    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.
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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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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
3
Average
Top 10%
Average
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