A Stated Preference Choice Approach to Understanding Angler Preferences for Management Options

Oh, Chi-Ok; Ditton, Robert B.; Gentner, Brad; Riechers, Robin

doi:10.1080/10871200591003427

Cited by 66 publications

(65 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Indeed, earlier research has emphasized that angler effort responses are determined by multiple catch and non-catch related factors, including angling regulations (Aas et al, 2000;Oh et al, 2005;Hunt, 2005), and are not simply linked to fishing successes alone (Johnson and Carpenter, 1994;Hunt, 2005;Post et al, 2008;Johnston et al, 2010;Hunt et al, in press). In particular, harvest regulations may alter the attractiveness of a fishery if they are perceived to constrain anglers' opportunities to harvest fish (Radomski and Goeman, 1996;Dorr et al, 2002;, or if they alter anglers' expectations about the fishery Cook et al, 2001;Beard et al, 2003).…”

Section: Discussionmentioning

confidence: 96%

Decline in angler use despite increased catch rates: Anglers’ response to the implementation of a total catch-and-release regulation

et al. 2011

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 96%

Decline in angler use despite increased catch rates: Anglers’ response to the implementation of a total catch-and-release regulation

et al. 2011

View full text Add to dashboard Cite

“…Due to the paucity of research on urban anglers in the United States, it was necessary for the research presented here to be largely of a descriptive nature. Future studies comparing urban residents that chose to fish either urban or rural fisheries would be well advised to utilize methods such as stated choice or preference models, which allow for the examination of the trade-offs made by individuals when choosing fishing locations (Oh & Ditton, 2005). However, the complicated nature of stated choice and preference studies only allow for the evaluation of a small range of trip attributes, which caused us to avoid such methods for the this study so that a larger list of site characteristics could be evaluated.…”

Section: Discussionmentioning

confidence: 99%

Arkansas Urban Resident Fishing Site Preferences, Catch Related Attitudes, and Satisfaction

Hutt

Neal

2010

Human Dimensions of Wildlife

View full text Add to dashboard Cite

Declines in recreational fishing participation, underrepresentation of non-whites among the angling population, and increased urban immigration and sprawl has prompted the development of urban fishing programs. This study sought to develop profiles of anglers living within urban areas located throughout the state of Arkansas. We separated anglers based on the percentage of their fishing effort that was spent within their city of residence. Anglers that predominately fished urban waters were 34% more likely to be non-white than anglers that fished rural waters exclusively. Urban anglers placed greater importance on catch, on-site amenities, and safety than rural anglers, while rural anglers placed greater importance on the scenic beauty of a site and the ability to escape the trappings of the urban environment. Future fisheries management efforts will be dependent on the support of growing urban populations, and fisheries managers will need to strongly consider the unique needs of these constituents.

show abstract

“…Applications of choice models in tourism have typically focused on modeling tourism demand (e.g., Huybers & Bennett, 2000;Morley, 1994). DCMs have also been applied to other topics such as resident trade-offs of tourism impacts (Lindberg, Dellaert, & Rassing, 1999) and understanding decisions relating to leisure experiences, (Oh, Ditton, Gentner, & Riechers, 2005;Ready, Epp, & Delavan, 2005;Verma, Louviere, & Burke, 2006). This literature demonstrates the flexibility of DCMs beyond traditional consumption decisions.…”

Section: Discrete Choice Experiments and Tourism Researchmentioning

confidence: 99%

The Scale-Adusted Latent Class Model: Application to Museum Visitation

Burke

Burton²,

Huybers³

et al. 2010

Tourism Analysis

View full text Add to dashboard Cite

Preferences of tourists and visitors are varied in a number of markets, making it difficult for managers to understand how underlying segments might respond to changes in service offerings. Market segments differ in preferences for specific features, as well as how consistently they make their choices. In this article, we illustrate recent developments in choice modeling that allows for simultaneously modeling feature preferences and consistency of choice. We use the Scale-Adjusted Latent Class Model (SALCM) to better understand choices in the context of a research project conducted in collaboration with six major Australian museums involving a sample of 3,685 museum visitors. We identify three preference classes of museum-goers that explain preferences for levels of26 museum attributes: Life Force (two thirds of visitors), Educated Thinkers, and Wealthy At-Homes. Our results indicate sensitivity to general entry prices, including preference for free entry or entry "by donation." Tours are preferred if smaller, lengthier, and conducted by paid museum staff. Not unexpectedly, the findings suggest that museums should cater for children, with some classes responding positively to providing supervised child areas. Most visitors prefer museums that are dynamic, offer new experiences, and regularly update permanent displays. However, the three classes identified have different overall experience preferences; for example, Educated Thinkers see museums as an educational opportunity, but Wealthy At-Homes prefer entertaining experiences. Incentives for return visits and cross-museum promotional offers are valued by the Life Force class, but have little effect on Educated Thinkers. The SALCM approach may be attractive to other areas of tourism analysis, especially where offerings contain many attributes and potential market segments are difficult to define and understand.

show abstract

A Stated Preference Choice Approach to Understanding Angler Preferences for Management Options

Cited by 66 publications

References 23 publications

Decline in angler use despite increased catch rates: Anglers’ response to the implementation of a total catch-and-release regulation

Decline in angler use despite increased catch rates: Anglers’ response to the implementation of a total catch-and-release regulation

Arkansas Urban Resident Fishing Site Preferences, Catch Related Attitudes, and Satisfaction

The Scale-Adusted Latent Class Model: Application to Museum Visitation

Contact Info

Product

Resources

About