A latent class analysis of public attitudes toward water resources with implications for recreational demand

Ehrlich, Oren; Bi, Xiang; Borisova, Tatiana; Larkin, Sherry L.

doi:10.1016/j.ecoser.2017.10.019

Cited by 14 publications

(10 citation statements)

References 31 publications

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“…A variety of studies have investigated differences in recreation preference among different groups (Boxall and Adamowicz, 2002;Scarpa and Thiene, 2004;Arnberger and Eder, 2011;Gentin, 2011;Juutinen et al, 2011;Ehrlich et al, 2017). Results include different age quartiles showing a difference in the importance placed on several site attributes (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Scarpa & Thiene (2004) found that climbers in the North-eastern Alps could be placed in four classes, using variables including environment severity, the difficulty of climbs and shelter availability. Ehrlich et al (2017) investigated recreational demand using perceptions towards water resource management in St. Johns River Basin in Florida (USA). They discovered two latent classes, both with similar demographic characteristics, though varying in attitudes and perceptions towards water management.…”

Section: Introductionmentioning

confidence: 99%

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Using social media, machine learning and natural language processing to map multiple recreational beneficiaries

et al. 2019

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Information and numbers on the use and appreciation of nature are valuable information for protected area (PA) managers. A promising direction is the utilisation of social media, such as the photosharing website Flickr. Here we demonstrate a novel approach, borrowing techniques from machine learning (image analysis), natural language processing (Latent Semantic Analysis (LSA)) and self-organising maps (SOM), to collect and interpret> 20,000 photos from the Camargue region in Southern France. From the perspective of Cultural Ecosystem Services (CES), we assessed the relationship between the use of the Camargue delta and the presence of natural elements by consulting local managers. Clustering algorithms applied to results of the LSA data revealed six distinct user groups, which included those interested in nature, ornithology, religious pilgrimage, general tourists and aviation enthusiasts. For each group, we produced high-resolution spatial and seasonal maps, which matched known recreational attractions and annual festivals in the Camargue. The accuracy of the group identification, and the spatial and temporal patterns of photo activity, in the Camargue delta were evaluated by local managers of the Camargue regional park. This study demonstrates how PA managers can harness socialmedia to monitor recreation and improve their management decision making

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using social media, machine learning and natural language processing to map multiple recreational beneficiaries

et al. 2019

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“…We employed a latent class analysis to categorize respondents with similar utility scores into segments. We used Bayesian Information Criterion (BIC) to select between models with 2, 3, 4, and 5 segments (Ehrlich et al ). The 5‐segment model outperformed the other models (5‐segment model BIC = 9,275.3; 4‐segment model resulted in second lowest score, BIC = 9,364.3).…”

Section: Methodsmentioning

confidence: 99%

“…The 5‐segment model outperformed the other models (5‐segment model BIC = 9,275.3; 4‐segment model resulted in second lowest score, BIC = 9,364.3). Following the latent class analysis, we treated segment membership as an independent variable (Boxall and Adamowicz ), allowing for the comparison of utility scores between segments (Ehrlich et al ). We also used segment membership to measure associations with bobwhite habitat management actions, values, and threat perceptions.…”

Section: Methodsmentioning

confidence: 99%

Multi‐attribute preferences for northern bobwhite habitat restoration among Texas landowners

Valdez

Peterson

et al. 2019

Wildl. Soc. Bull.

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Northern bobwhite (Colinus virginianus) abundance has declined range‐wide over the long term due to factors such as habitat loss and deterioration. Private land management is critical to bobwhite conservation because most bobwhites occur on private lands, but little research has been conducted regarding how private land managers and landowners make decisions about whether and how to restore northern bobwhite habitat. To begin addressing this deficit, we used a choice‐based conjoint approach to determine how Texas, USA, landowners and land managers (surveyed in November 2017) weigh the importance of northern bobwhite hunting opportunities, costs, and labor when making habitat restoration decisions. We also used a latent class analysis to break respondents into segments based on their valuations of these attributes. The results of our latent class analysis indicate that managers and landowners can be grouped into several segments, and most segments do not place a high value on bobwhite hunting opportunities, but instead are more interested in minimizing out‐of‐pocket costs and labor input. Bobwhite habitat restoration programs yielding cost shares ≥50%, labor inputs at ≤30 days/year, and likely coveys flushed per hunting day >4 broadly appealed to landowners; however, ensuring low labor costs was most important, particularly for pragmatic landowners. This indicates that policies minimizing labor inputs and maximizing cost shares may be preferred over increasing hunting opportunities. Finally, we discuss the management preferences and practices of the segment most interested in maximizing bobwhite hunting opportunities and potential outreach strategies for segments of opportunistic and pragmatic landowners who may be persuaded to manage for bobwhite habitat if they perceived this management as economically viable. © 2019 The Authors. Wildlife Society Bulletin Published by Wiley Periodicals, Inc.

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“…More recently, Ehrlich el al. [19] used the travel cost method to estimate the value of freshwater-based recreation in the St. Johns River Basin in Florida. On average, households in North and Central Florida were willing to pay $93.63 per trip per household.…”

Section: Related Economic Literaturementioning

confidence: 99%

Valuing the Recreation Benefits of Natural Springs in Florida

Grogan

et al. 2018

Water

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Karst springs are scenic natural resources in karst areas of Florida, currently under threat from increasing groundwater withdrawal from the Floridan Aquifer and pollution resulting from a variety of sources. This paper estimates the current recreation benefits from visiting springs using the travel cost method and elicits residents’ willingness to contribute for springs restoration using the contingent valuation method. It further compares the performance of count data models correcting for endogenous stratification and truncation, and finds that the annual consumer surplus per person per trip is between $20 and $43, and the annual total recreational value for the four springs studied is about $25 million. Furthermore, visitors are willing to contribute $12 to $14 per person per trip for springs restoration without reducing trip demand.

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A latent class analysis of public attitudes toward water resources with implications for recreational demand

Cited by 14 publications

References 31 publications

Using social media, machine learning and natural language processing to map multiple recreational beneficiaries

Using social media, machine learning and natural language processing to map multiple recreational beneficiaries

Multi‐attribute preferences for northern bobwhite habitat restoration among Texas landowners

Valuing the Recreation Benefits of Natural Springs in Florida

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