Predicting Behavioral Intentions to Comply with Recommended Leave No Trace Practices

Vagias, Wade M.; Powell, Robert B.; Moore, DeWayne; Wright, Brett A.

doi:10.1080/01490400.2014.912168

Cited by 46 publications

(34 citation statements)

References 34 publications

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“…Though self-reported knowledge has some linkage with the TPB construct of perceived behavioral control, this variable was not operationalized in this study to measure the construct in terms of the TPB. This item was selected because knowledge, to a degree, has been found to influence behavior regarding minimum impact practices (Manning, 2003;Marion & Reid, 2007), and aids in extending and improving the predicitve capabilities of TPB (Vagias et al, 2014).…”

Section: Theoretical Foundationmentioning

confidence: 99%

Understanding and Influencing State Park Visitors’ Leave No Trace Behavioral Intent

Lawhon¹,

Taff

Newman

et al. 2017

Journal of Interpretation Research

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Impact to protected area resources due to uninformed or depreciative visitor behavior continues to be a principal concern for managers. Leave No Trace (LNT) is a prevalent educational strategy for mitigating such impacts. Through on-site surveys, this study examined frontcountry visitor attitudes toward Leave No Trace (LNT) practices, and self-reported knowledge concerning LNT in three Wyoming state parks to determine factors that influenced their behavioral intent to practice LNT. Results suggest that attitudes toward perceived effectiveness of LNT practices and appropriateness of LNT practices are significant predictors of behavioral intent. If education-based communication efforts focus on why LNT practices are appropriate and effective, there is an increased likelihood of meaningfully influencing behavioral intent.

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Section: Theoretical Foundationmentioning

confidence: 99%

Understanding and Influencing State Park Visitors’ Leave No Trace Behavioral Intent

Lawhon¹,

Taff

Newman

et al. 2017

Journal of Interpretation Research

Self Cite

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show abstract

“…On the other hand, although the effects of attitudes on low-impact behavior and behavioral change have been widely examined and supported (Brown, Ham, & Hughes, 2010;Hughes, Ham, & Brown, 2009;Lawhon, 2013;Reigner & Lawson, 2009;Vagias, Powell, Moore & Wright, 2014), much less research has been conducted on how attitudes change over time, particularly after an educational message. The support for the Elaboration Likelihood Model of persuasion in the context of low-impact recreation behavior is mixed as well.…”

Section: Theoretical Backgroundmentioning

confidence: 97%

Integrating off-site visitor education into landscape conservation and management: An examination of timing of educational messaging and compliance with low-impact hiking recommendations

Tian

Smith

Moore

et al. 2017

Landscape and Urban Planning

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“…It is considered as a more appropriate, light-handed, and indirect management response to reduce resource impacts and improve visitor experiences [5]. Many visitor education programs such as Leave No Trace [6][7][8], Code of Conduct [9], and Environmental Guidelines for Tourists [10] have already been applied in many countries. But it is a pity that there has been no such programs being mandated in china where the tourism market is extremely booming and the resource and social impacts are serious.…”

Section: Introductionmentioning

confidence: 99%

Multiparameter Stochastic Dynamics of Ecological Tourism System with Continuous Visitor Education Interventions

Wei

Zheng

Shou-wen

2015

Mathematical Problems in Engineering

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Management of ecological tourism in protected areas faces many challenges, with visitation-related resource degradations and cultural impacts being two of them. To address those issues, several strategies including regulations, site managements, and visitor education programs have been commonly used in China and other countries. This paper presents a multiparameter stochastic differential equation model of an Ecological Tourism System to study how the populations of stakeholders vary in a finite time. The solution of Ordinary Differential Equation of Ecological Tourism System reveals that the system collapses when there is a lack of visitor educational intervention. Hence, the Stochastic Dynamic of Ecological Tourism System is introduced to suppress the explosion of the system. But the simulation results of the Stochastic Dynamic of Ecological Tourism System show that the system is still unstable and chaos in some small time interval. The Multiparameters Stochastic Dynamics of Ecological Tourism System is proposed to improve the performance in this paper. The Multiparameters Stochastic Dynamics of Ecological Tourism System not only suppresses the explosion of the system in a finite time, but also keeps the populations of stakeholders in an acceptable level. In conclusion, the Ecological Tourism System develops steadily and sustainably when land managers employ effective visitor education intervention programs to deal with recreation impacts.

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Predicting Behavioral Intentions to Comply with Recommended Leave No Trace Practices

Cited by 46 publications

References 34 publications

Understanding and Influencing State Park Visitors’ Leave No Trace Behavioral Intent

Understanding and Influencing State Park Visitors’ Leave No Trace Behavioral Intent

Integrating off-site visitor education into landscape conservation and management: An examination of timing of educational messaging and compliance with low-impact hiking recommendations

Multiparameter Stochastic Dynamics of Ecological Tourism System with Continuous Visitor Education Interventions

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