Evan Coulson, L. Park, Ben Lawhon, D. Taff, Wade M. Vagias, P. Newman
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Visitors’ attitudes and behavioral intentions toward Leave No Trace on a national forest
Abstract This study examined variables hypothesized to influence behavioral intentions of visitors to frontcountry areas managed by the USDA Forest Service. Data were obtained over a stratified 12-month sampling period (n = 281). Analyses revealed that visitor attitudes toward perceived effectiveness of Leave No Trace practices and perceptions of difficulty of practice were statistically significant predictors of behavioral intentions. Forest Service managers may be successful in influencing visitors’ behavioral intentions by utilizing communication efforts that focus on the effectiveness of practices, the ease of practice, and the overall appropriateness of practicing Leave No Trace when visiting frontcountry areas.
期刊介绍:
Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.