2020
DOI: 10.1016/j.jnc.2020.125857
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Understanding residents’ perceptions of nature and local economic activities using an open-ended question before protected area designation in Amami Islands, Japan

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Cited by 8 publications
(4 citation statements)
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“…Furthermore, the number of topics could adversely affect the quality of the topics [44]. Tvinnereim and Fløttum [45] and Mitsui et al [46] used topic modelling to extract information from the open-ended survey questions related to climate change and protected area assessment respectively. We could not find the application of topic models to extract information from open-ended responses in the context of travel behaviour research.…”
mentioning
confidence: 99%
“…Furthermore, the number of topics could adversely affect the quality of the topics [44]. Tvinnereim and Fløttum [45] and Mitsui et al [46] used topic modelling to extract information from the open-ended survey questions related to climate change and protected area assessment respectively. We could not find the application of topic models to extract information from open-ended responses in the context of travel behaviour research.…”
mentioning
confidence: 99%
“…Although there are considerable studies on the motivation for conveying conservation easement in the US, the different social, economic, political, and cultural differences make those research results enlightening but not conclusive for the developing world. Understanding the motives affecting participation in such programmes is vital to further development and refinement of policies to motivate community participation [28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…More sophisticated approaches such as word-based (Jehn, 1995;Niedomysl and Malmberg, 2009) or content-based (Hsieh and Shannon, 2005;Mamali et al, 2020) analysis, which relies on the frequency of occurrence of words in the text, have also been used. Other methods used to extract information include Automated Text Analysis (Mossholder et al, 1995;ten Kleij and Musters, 2003) and Topic Models (Baburajan et al, 2018;Mitsui et al, 2020;Roberts et al, 2014;Tvinnereim and Fløttum, 2015). Now that we have presented the two approaches, their merits, and their demerits, we would stress that some of the concerns related to using the two approaches discussed above remain unresolved.…”
Section: Introductionmentioning
confidence: 99%