The choice of forest site for recreation: A revealed preference analysis using spatial data

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

The choice of forest site for recreation : A revealed preference analysis using spatial data. / Agimass, Fitalew; Lundhede, Thomas; Panduro, Toke Emil; Jacobsen, Jette Bredahl.

In: Ecosystem Services, Vol. 31, No. Part C, 2018, p. 445-454.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Agimass, F, Lundhede, T, Panduro, TE & Jacobsen, JB 2018, 'The choice of forest site for recreation: A revealed preference analysis using spatial data', Ecosystem Services, vol. 31, no. Part C, pp. 445-454. https://doi.org/10.1016/j.ecoser.2017.11.016

APA

Agimass, F., Lundhede, T., Panduro, T. E., & Jacobsen, J. B. (2018). The choice of forest site for recreation: A revealed preference analysis using spatial data. Ecosystem Services, 31(Part C), 445-454. https://doi.org/10.1016/j.ecoser.2017.11.016

Vancouver

Agimass F, Lundhede T, Panduro TE, Jacobsen JB. The choice of forest site for recreation: A revealed preference analysis using spatial data. Ecosystem Services. 2018;31(Part C):445-454. https://doi.org/10.1016/j.ecoser.2017.11.016

Author

Agimass, Fitalew ; Lundhede, Thomas ; Panduro, Toke Emil ; Jacobsen, Jette Bredahl. / The choice of forest site for recreation : A revealed preference analysis using spatial data. In: Ecosystem Services. 2018 ; Vol. 31, No. Part C. pp. 445-454.

Bibtex

@article{e9d25a0923574262968061dff58c1766,
title = "The choice of forest site for recreation: A revealed preference analysis using spatial data",
abstract = "In this paper, we investigate the factors that can influence the site choice of forest recreation. Relevant attributes are identified by using spatial data analysis from a questionnaire asking people to indicate their most recent forest visits by pinpointing on a map. The main objectives of the study are (1) to examine the preferences of visitors for different forest attributes using data from actual visits and (2) to illustrate how many alternative sites need to be considered for estimation in case of a large number of potential recreational sites. Estimation is performed using a conditional logit as well as a random parameter logit model. The variables that are found to affect the choice of forest site to a visit for recreation include: forest area, tree species composition, forest density, availability of historical sites, terrain difference, state ownership, and distance. Regarding the second research objective, we empirically show the possibility of getting consistent parameter estimates through random selection of alternatives. We find that increasing the number of alternatives increases consistency of parameter estimates.",
keywords = "Discrete choices, Forest recreation, Revealed preference, Sampling of alternatives, Spatial data",
author = "Fitalew Agimass and Thomas Lundhede and Panduro, {Toke Emil} and Jacobsen, {Jette Bredahl}",
year = "2018",
doi = "10.1016/j.ecoser.2017.11.016",
language = "English",
volume = "31",
pages = "445--454",
journal = "Ecosystem Services",
issn = "2212-0416",
publisher = "Elsevier",
number = "Part C",

}

RIS

TY - JOUR

T1 - The choice of forest site for recreation

T2 - A revealed preference analysis using spatial data

AU - Agimass, Fitalew

AU - Lundhede, Thomas

AU - Panduro, Toke Emil

AU - Jacobsen, Jette Bredahl

PY - 2018

Y1 - 2018

N2 - In this paper, we investigate the factors that can influence the site choice of forest recreation. Relevant attributes are identified by using spatial data analysis from a questionnaire asking people to indicate their most recent forest visits by pinpointing on a map. The main objectives of the study are (1) to examine the preferences of visitors for different forest attributes using data from actual visits and (2) to illustrate how many alternative sites need to be considered for estimation in case of a large number of potential recreational sites. Estimation is performed using a conditional logit as well as a random parameter logit model. The variables that are found to affect the choice of forest site to a visit for recreation include: forest area, tree species composition, forest density, availability of historical sites, terrain difference, state ownership, and distance. Regarding the second research objective, we empirically show the possibility of getting consistent parameter estimates through random selection of alternatives. We find that increasing the number of alternatives increases consistency of parameter estimates.

AB - In this paper, we investigate the factors that can influence the site choice of forest recreation. Relevant attributes are identified by using spatial data analysis from a questionnaire asking people to indicate their most recent forest visits by pinpointing on a map. The main objectives of the study are (1) to examine the preferences of visitors for different forest attributes using data from actual visits and (2) to illustrate how many alternative sites need to be considered for estimation in case of a large number of potential recreational sites. Estimation is performed using a conditional logit as well as a random parameter logit model. The variables that are found to affect the choice of forest site to a visit for recreation include: forest area, tree species composition, forest density, availability of historical sites, terrain difference, state ownership, and distance. Regarding the second research objective, we empirically show the possibility of getting consistent parameter estimates through random selection of alternatives. We find that increasing the number of alternatives increases consistency of parameter estimates.

KW - Discrete choices

KW - Forest recreation

KW - Revealed preference

KW - Sampling of alternatives

KW - Spatial data

U2 - 10.1016/j.ecoser.2017.11.016

DO - 10.1016/j.ecoser.2017.11.016

M3 - Journal article

AN - SCOPUS:85035209711

VL - 31

SP - 445

EP - 454

JO - Ecosystem Services

JF - Ecosystem Services

SN - 2212-0416

IS - Part C

ER -

ID: 188233813