游客对国家森林“不留痕迹”的态度与行为意向

Evan Coulson, L. Park, Ben Lawhon, D. Taff, Wade M. Vagias, P. Newman
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引用次数: 1

摘要

摘要本研究考察了美国农业部林业局管理的影响游客行为意向的变量。数据是在12个月的分层抽样期内获得的(n = 281)。分析显示,访问者对“不留痕迹”实践的有效性和实践难度的看法是行为意图的统计显著预测因素。林业局管理人员可以成功地影响游客的行为意图,通过利用沟通努力,重点关注实践的有效性,实践的便利性,以及在访问边境地区时实践“不留痕迹”的总体适当性。
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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.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
15
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.
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