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Probability Estimates of Recreation Demands

Bibliographic Data

ID10137367
AuthorsE Boyd Wennergren (corresponding author), Darwin Β Nielsen, Darwin B Nielsen
Year1970
Volume2
Issue2
Pages112-122
Publication date1970-04-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Leisure Research (JOURNAL)
Journal identifiersISSN: 0022-2216 • E-ISSN: 2159-6417
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00222216.1970.11969991
OpenAlexW288421167
LanguageEN
Citations received9
References cited1

Estimates of potential future demands for outdoor recreation activities and resources suggest a need for designing techniques for assessing individualized recreation situations to assist the decision-making process. Recreation demands and resource values are important to this process. Statistical estimates of recreation demands and values in recent years have been somewhat limited by procedures which rely on ex post statements of past user activities. Expected use is not directly incorporated into the data, and therefore the resulting analysis is of restrictive value in estimating demands and resource values for unconstructed sites on planned resource developments.This paper reports an attempt to formulate a probabilistic model and technique for estimating recreationist usage of recreation sites. The model utilizes distance and site size to formulate probabilities of usage by recreationists from various origins or cities. The data generated from the model can be of a form applicable to current methodologies used in making statistical estimates of recreational demands. Application of the model is made to a localized boating situation as a means of illustrating the model

Econometrics · Political science · Recreation · Economic and Environmental Valuation · Mathematics · Psychology · Recreation, Leisure, Wilderness Management · Urban Transport and Accessibility

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    Open Access•Juan L Nicolau•Annals of Tourism Research•2011

  • The effect of recreation supply on participation

    Jay Beaman, Yoon Kim et al.•Leisure Sciences•1979

  • Hybrid and non‐hybrid evaluation models for predicting outdoor recreation behavior

    Harry Timmermans•Leisure Sciences•1987

  • U.S. Vacation travel patterns

    Stephen L J Smith, Stephen L Smith•Leisure Sciences•1985

  • Progress and problems in the development of recreational trip generation and trip distribution models

    Gordon O Ewing•Leisure Sciences•1980

  • Evaluating spatial structure effects in recreation travel

    Seong‐Il Kim, Daniel R Fesenmaier•Leisure Sciences•1990

  • Intra-Urban Social Visiting and Leisure Behavior

    Fredrick P Stutz•Journal of Leisure Research•1973

  • A Modified Gravity Model of Regional Recreation Activity with an Application to Ski Trips

    Donald M Mcallister, Frank R Klett•Journal of Leisure Research•1976

  • Influence of Nature Motivation on Price Sensitivity

    Juan L Nicolau•Tourism Geographies•2012

  • Mathematical Explorations in Behavioral Science

    James M Beshers, Fred Massarik et al.•American Sociological Review•1966

Unique citing works9
Citations per year0,17
Citation span1973 - 2012 (40)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 9

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