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Volumn 30, Issue 5 PART B, 1996, Pages 325-337

A portfolio choice model of the demand for recreational trips

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE CHOICE MODEL; MODELLING APPROACH; RECREATIONAL DEMAND; RECREATIONAL FISHING; TRIP MAKING;

EID: 0030302510     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/0191-2615(96)00004-5     Document Type: Article
Times cited : (19)

References (22)
  • 1
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    • (1979) Transpn Res. Rec. , vol.569 , pp. 136-150
    • Adler, T.1    Ben-Akiva, M.2
  • 2
    • 0000418531 scopus 로고
    • Micro-simulation of local residential telephone demand under alternative service options and rate structures
    • (Fontenay A., Shugad M. and Sibley D., Eds) North Holland, New York
    • Atherton T., Ben-Akiva M. and McFadden D. (1990) Micro-simulation of local residential telephone demand under alternative service options and rate structures. In Telecommunications Demand Modeling: An Integrated View (Fontenay A., Shugad M. and Sibley D., Eds) North Holland, New York, pp. 137-163.
    • (1990) Telecommunications Demand Modeling: An Integrated View , pp. 137-163
    • Atherton, T.1    Ben-Akiva, M.2    McFadden, D.3
  • 5
    • 85029889876 scopus 로고
    • A model of weekend recreational travel demand
    • Working paper RP/06/79/Trans, Department of Civil Engineering, University of Melbourne, Australia. Reproduced in Hensher D. and Johnson L. Croom Helm Ltd, London
    • Brown H. (1979) A model of weekend recreational travel demand. Working paper RP/06/79/Trans, Department of Civil Engineering, University of Melbourne, Australia. Reproduced in Hensher D. and Johnson L. (1981) Applied Discrete Choice Modeling. Croom Helm Ltd, London.
    • (1979) Applied Discrete Choice Modeling
    • Brown, H.1
  • 6
    • 0022858121 scopus 로고
    • Travel cost model for lake recreation: A comparison of two methods for incorporating site quality and substitution effects
    • Caulkins P., Bishop R. and Bouwes N. (1985). Travel cost model for lake recreation: A comparison of two methods for incorporating site quality and substitution effects. Am. J. Agr. Econ. 68, 291-297.
    • (1985) Am. J. Agr. Econ. , vol.68 , pp. 291-297
    • Caulkins, P.1    Bishop, R.2    Bouwes, N.3
  • 7
    • 0005155681 scopus 로고
    • National data base of nonurban nonpoint source discharges and their effect on the nation's water quality
    • Washington D.C.
    • Gianessi L., Peskin H. and Puffer C. (1985) National data base of nonurban nonpoint source discharges and their effect on the nation's water quality. Resources for the Future. Washington D.C.
    • (1985) Resources for the Future
    • Gianessi, L.1    Peskin, H.2    Puffer, C.3
  • 9
    • 84959779636 scopus 로고
    • Theoretical and empirical specifications issues in travel cost demand studies
    • Kealy M. and Bishop R. (1986) Theoretical and empirical specifications issues in travel cost demand studies. Am. J. Agr. Econ. 68, 660-667.
    • (1986) Am. J. Agr. Econ. , vol.68 , pp. 660-667
    • Kealy, M.1    Bishop, R.2
  • 10
    • 0002500977 scopus 로고
    • Modeling residential choice location
    • (Karlquist A., Lundqvist L, Snickars F. and Weibull J., Eds) North Holland, Amsterdam
    • McFadden D. (1978) Modeling residential choice location. In Spatial Interaction Theory and Planning Models (Karlquist A., Lundqvist L, Snickars F. and Weibull J., Eds) North Holland, Amsterdam.
    • (1978) Spatial Interaction Theory and Planning Models
    • McFadden, D.1
  • 11
    • 0027036813 scopus 로고
    • Site aggregation in a random utility model of recreation
    • Parsons G. and Needelman M. (1992) Site aggregation in a random utility model of recreation. Land Econ. 68, 418-433.
    • (1992) Land Econ. , vol.68 , pp. 418-433
    • Parsons, G.1    Needelman, M.2
  • 13
    • 0024156250 scopus 로고
    • Selection and recreation demand
    • Smith V. (1988) Selection and recreation demand. Am. J. Agr. Econ. 70, 29-36.
    • (1988) Am. J. Agr. Econ. , vol.70 , pp. 29-36
    • Smith, V.1
  • 14
    • 38249041931 scopus 로고
    • Modeling recreation demand within a random utility framework
    • Smith V. and Kaoru Y. (1986) Modeling recreation demand within a random utility framework. Econ. Lett. 22, 395-399.
    • (1986) Econ. Lett. , vol.22 , pp. 395-399
    • Smith, V.1    Kaoru, Y.2
  • 16
    • 0028581819 scopus 로고
    • Benefits of improved water Quality: A discrete choice analysis of freshwater recreational demands
    • Tay R. and McCarthy P. (1994) Benefits of improved water Quality: A discrete choice analysis of freshwater recreational demands. Envir. Plan. 26A, 1625-1638.
    • (1994) Envir. Plan. , vol.26 A , pp. 1625-1638
    • Tay, R.1    McCarthy, P.2
  • 19
    • 0023313686 scopus 로고
    • The demand for local telephone services: A fully discrete model of residential calling patterns and service choices
    • Train K., McFadden D. and Ben-Akiva M. (1987) The demand for local telephone services: A fully discrete model of residential calling patterns and service choices. Rand J. Econ. 18, 109-123.
    • (1987) Rand J. Econ. , vol.18 , pp. 109-123
    • Train, K.1    McFadden, D.2    Ben-Akiva, M.3
  • 21
    • 0043032098 scopus 로고
    • 1985 tape technical documentation, prepared by the Data User Services Division. Bureau of the Census, Washington D.C.
    • U.S. Department of Commerce (1987b) Survey of Fishing, Hunting, and Wildlife - Associated Recreation. 1985 tape technical documentation, prepared by the Data User Services Division. Bureau of the Census, Washington D.C.
    • (1987) Survey of Fishing, Hunting, and Wildlife - Associated Recreation
  • 22
    • 0018655566 scopus 로고
    • Forecasting urban travel demand for quick policy analysis with disaggregate choice models: A Monte Carlo simulation approach
    • Watanatada T. and Ben-Akiva M. (1979) Forecasting urban travel demand for quick policy analysis with disaggregate choice models: A Monte Carlo simulation approach. Transpn Res. 13A, 241-248.
    • (1979) Transpn Res. , vol.13 A , pp. 241-248
    • Watanatada, T.1    Ben-Akiva, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.