IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v147y2023ics1389934122001988.html
   My bibliography  Save this article

Visitor satisfaction with WMAs: A case study from Oklahoma

Author

Listed:
  • Gore, Madison
  • Joshi, Omkar
  • Chapagain, Binod
  • Poudyal, Neelam C.
  • Fairbanks, Sue

Abstract

Analyzing visitor satisfaction has been an important practice for outdoor recreation managers, as satisfaction influences visitor behavior including the decision to visit in the future. This study analyzed visitors' level of satisfaction relative to their overall recreational experience at the last Oklahoma Wildlife Management Area (WMA) they visited. Satisfaction with WMA characteristics such as accessibility, facility availability and condition, scenery, abundance of wildlife, and a feeling of privacy and safety were also analyzed. To accomplish the study objective, WMA visitor surveys were administered among Oklahoma hunting and fishing license and conservation passport holders during the 2020–2021 hunting season. CUB (Covariates in a Uniform and shifted Binomial mixture) models were used to analyze the effects of visitors' characteristics on the level of satisfaction. Results suggested that compared to their non-consumptive counterparts, consumptive visitors (hunters and anglers) reported a higher level of satisfaction. In contrast, WMA visitors generally had lower satisfaction and seemed to express higher consternation about their privacy and safety than other aspects of visitations. This study demonstrates the applicability of a relatively new consumer preference model for analyzing visitor satisfaction within the outdoor recreation field. Furthermore, it provides valuable visitor satisfaction results to help management agencies analyze WMA visitation levels and determine the best management practices.

Suggested Citation

  • Gore, Madison & Joshi, Omkar & Chapagain, Binod & Poudyal, Neelam C. & Fairbanks, Sue, 2023. "Visitor satisfaction with WMAs: A case study from Oklahoma," Forest Policy and Economics, Elsevier, vol. 147(C).
    • Handle: RePEc:eee:forpol:v:147:y:2023:i:c:s1389934122001988
    DOI: 10.1016/j.forpol.2022.102885
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934122001988
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.forpol.2022.102885?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Romina Gambacorta & Maria Iannario, 2013. "Measuring Job Satisfaction with CUB Models," LABOUR, CEIS, vol. 27(2), pages 198-224, June.
    2. Jarvis, Diane & Stoeckl, Natalie & Liu, Hong-Bo, 2016. "The impact of economic, social and environmental factors on trip satisfaction and the likelihood of visitors returning," Tourism Management, Elsevier, vol. 52(C), pages 1-18.
    3. Maria Iannario, 2008. "Dummy Covariates In Cub Models," Statistica, Department of Statistics, University of Bologna, vol. 68(2), pages 179-200.
    4. Ribecco, Nunziata & D'Uggento, Angela Maria & Labarile, Angela, 2022. "What influences the perception of immigration in Italian adolescents? An analysis with CUB models for rating data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    5. D'Elia, Angela & Piccolo, Domenico, 2005. "A mixture model for preferences data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 917-934, June.
    6. Gennaro Punzo & Rosalia Castellano & Mirko Buonocore, 2018. "Job Satisfaction in the “Big Four” of Europe: Reasoning Between Feeling and Uncertainty Through CUB Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(1), pages 205-236, August.
    7. Casola, William R. & Peterson, M. Nils & Sills, Erin O. & Pacifici, Krishna & Moorman, Christopher E., 2022. "Economic contributions of wildlife management areas in North Carolina," Forest Policy and Economics, Elsevier, vol. 140(C).
    8. Venter, Zander & Barton, David & gundersen, vegard & Figari, Helene & Nowell, Megan, 2020. "Urban nature in a time of crisis: recreational use of green space increases during the COVID-19 outbreak in Oslo, Norway," SocArXiv kbdum, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yoon, Tae Kyung & Myeong, Ji Yong & Lee, Yuju & Choi, Yun Eui & Lee, Seonghun & Lee, Sugwang & Byun, Chaeho, 2024. "Are you okay with overtourism in forests? Path between crowding perception, satisfaction, and management action of trail visitors in South Korea," Forest Policy and Economics, Elsevier, vol. 161(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gennaro Punzo & Rosalia Castellano & Mirko Buonocore, 2018. "Job Satisfaction in the “Big Four” of Europe: Reasoning Between Feeling and Uncertainty Through CUB Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(1), pages 205-236, August.
    2. Stefania Capecchi & Maria Iannario & Rosaria Simone, 2018. "Well-Being and Relational Goods: A Model-Based Approach to Detect Significant Relationships," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 729-750, January.
    3. Gerhard Tutz & Micha Schneider & Maria Iannario & Domenico Piccolo, 2017. "Mixture models for ordinal responses to account for uncertainty of choice," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(2), pages 281-305, June.
    4. Manisera, Marica & Zuccolotto, Paola, 2015. "Identifiability of a model for discrete frequency distributions with a multidimensional parameter space," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 302-316.
    5. Ryan H. L. Ip & K. Y. K. Wu, 2024. "A mixture distribution for modelling bivariate ordinal data," Statistical Papers, Springer, vol. 65(7), pages 4453-4488, September.
    6. Francesca Iorio & Riccardo Lucchetti & Rosaria Simone, 2024. "Testing distributional assumptions in CUB models for the analysis of rating data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 669-701, September.
    7. Maria Iannario & Anna Clara Monti, 2022. "Modelling consumer perceptions of service quality for urban public transport systems using statistical models for ordinal data," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 61-76, April.
    8. Leonardo Grilli & Maria Iannario & Domenico Piccolo & Carla Rampichini, 2014. "Latent class CUB models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 8(1), pages 105-119, March.
    9. Maria Iannario & Anna Clara Monti & Domenico Piccolo, 2016. "Robustness issues for cub models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(4), pages 731-750, December.
    10. Stefania Capecchi & Maria Iannario, 2016. "Gini heterogeneity index for detecting uncertainty in ordinal data surveys," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 223-232, August.
    11. Bruno Marques & Jacqueline McIntosh & Chitrakala Muthuveerappan & Krzysztof Herman, 2022. "The Importance of Outdoor Spaces during the COVID-19 Lockdown in Aotearoa—New Zealand," Sustainability, MDPI, vol. 14(12), pages 1-17, June.
    12. Hui, Ling Chui & Jim, C.Y., 2022. "Urban-greenery demands are affected by perceptions of ecosystem services and disservices, and socio-demographic and environmental-cultural factors," Land Use Policy, Elsevier, vol. 120(C).
    13. Luyang Chen & Lingbo Liu & Hao Wu & Zhenghong Peng & Zhihao Sun, 2022. "Change of Residents’ Attitudes and Behaviors toward Urban Green Space Pre- and Post- COVID-19 Pandemic," Land, MDPI, vol. 11(7), pages 1-16, July.
    14. Yürük, Pınar & Akyol, Ayşe & Şimşek, Gülhayat Gölbaşı, 2017. "Analyzing the effects of social impacts of events on satisfaction and loyalty," Tourism Management, Elsevier, vol. 60(C), pages 367-378.
    15. Carolina Mayen Huerta & Ariane Utomo, 2022. "Barriers Affecting Women’s Access to Urban Green Spaces during the COVID-19 Pandemic," Land, MDPI, vol. 11(4), pages 1-18, April.
    16. Xin Wang & Jingjing Lai & Yanlong Guo, 2024. "Study on Tourism Responsiveness and Habitat Environment-Influencing Factors of Traditional Villages in Huizhou Area," Sustainability, MDPI, vol. 16(8), pages 1-15, April.
    17. Mingxin Liu & Chenxi Chen & Jiaqi Yan, 2023. "Identifying Park Spatial Characteristics That Encourage Moderate-to-Vigorous Physical Activity among Park Visitors," Land, MDPI, vol. 12(3), pages 1-22, March.
    18. LU, Yi & Zhao, Jianting & Wu, Xueying & Lo, Siu Ming, 2020. "Escaping to nature in pandemic: a natural experiment of COVID-19 in Asian cities," SocArXiv rq8sn, Center for Open Science.
    19. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2017. "Inferential confidence intervals for fuzzy analysis of teaching satisfaction," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(4), pages 1513-1529, July.
    20. María Redondo-Carretero & Carmen Camarero-Izquierdo & Ana Gutiérrez-Arranz & Javier Rodríguez-Pinto, 2017. "Language tourism destinations: a case study of motivations, perceived value and tourists’ expenditure," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(2), pages 155-172, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:forpol:v:147:y:2023:i:c:s1389934122001988. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.