Determination of Motivating Factors of Urban Forest Visitors through Latent Dirichlet Allocation Topic Modeling

UN DESA (Department of Economic and Social Affairs) (2021, September 12). 68% of the World Population Projected to Live in Urban Areas by 2050, Says UN, Available online: https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html.

USDA (United States Department of Agriculture) (2011). The Principal Laws Relating to USDA Forest Service State and Private Forestry Programs. For. Serv., 758, 1–71. Available online: https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5315811.pdf.

Vogt, 2020, Urban Forests: Biophysical Features and Benefits, Encycl. World’s Biomes, 5, 48, 10.1016/B978-0-12-409548-9.12404-2

Statistics Korea Press Release (2021, September 12). 2020 Social Survey Results: Family, Education and Training, Health, Crime and Safety, Living Environment, Available online: https://kostat.go.kr/portal/korea/kor_nw/1/1/index.board?bmode=read&bSeq=&aSeq=386249&pageNo=1&rowNum=10&navCount=10&currPg=&searchInfo=&sTarget=title&sTxt=.

Korea Law Information Center (2021, September 12). Act on the Creation and Management of Urban Forests. Available online: https://www.law.go.kr/lsSc.do?section=&menuId=1&subMenuId=15&tabMenuId=81&eventGubun=060101&query=%EB%8F%84%EC%8B%9C%EC%88%B2.

Choi, 2017, The effects of tourism motivation on satisfaction and behavior intention in natural recreation forest, Int. J. Res. Tour. Hosp., 31, 63

Kim, 2018, Jangseong Pyunbaek Healing Forest (JPHF) Visitors: Socio-demographic Characteristics, Use Patterns and Motivational Factors by Types of Visitors, J. Korean Soc. Environ. Ecol., 32, 203, 10.13047/KJEE.2018.32.2.203

Nam, 2015, The Influences of the Tourism Motivation on the Perceived Value and Satisfaction of Healing Forest Visitor, Int. J. Tour. Hosp. Res., 29, 79

Pan, 2007, Mountain Areas and Visitor Usage–Motivations and Determinants of Satisfaction: The Case of Pirongia Forest Park, New Zealand, J. Sustain. Tour., 15, 288, 10.2167/jost662.0

Wang, 2016, Investigation of visitors’ motivation, satisfaction and cognition on urban forest parks in Taiwan, J. For. Res., 21, 261, 10.1007/s10310-016-0543-4

Arnberger, 2015, Are urban visitors’ general preferences for green-spaces similar to their preferences when seeking stress relief, J. Urban For. Urban Green., 14, 872, 10.1016/j.ufug.2015.07.005

French, 1975, The Concept of Urban Forestry, J. Aust. For., 38, 177, 10.1080/00049158.1975.10675630

Jim, 2013, Socioeconomic effect on perception of urban green spaces in Guangzhou, China, Cities, 31, 123, 10.1016/j.cities.2012.06.017

Korea Forest Service (2021, September 12). Forest Healing in the World and Overseas Forest Healing Trends at a Glance, Available online: https://nifos.forest.go.kr/kfsweb/kfs/subIdx/Index.do?mn=UKFR.

Narangajavana, 2017, The influence of social media in creating expectations. An empirical study for a tourist destination, Ann. Tour. Res., 65, 60, 10.1016/j.annals.2017.05.002

Hammitt, 2000, The Relation between Being Away and Privacy in Urban Forest Recreation Environments, J. Environ. Behav., 32, 521, 10.1177/00139160021972649

Liu, 2017, The impact of socio-demographic, environmental, and individual factors on urban park visitation in Beijing, China, J. Clean. Prod., 163, 181, 10.1016/j.jclepro.2015.09.012

Zhai, 2018, Spatial distributions and use patterns of user groups in urban forest parks: An examination utilizing GPS tracker, J. Urban For. Urban Green., 35, 32, 10.1016/j.ufug.2018.07.014

Kim, 2015, Nature-Based Tourism: Motivation and Subjective Well-Being, J. Travel Tour. Mark., 32, 76, 10.1080/10548408.2014.997958

Stigsdotter, 2011, Stressed individuals’ preferences for activities and environmental characteristics in green spaces, J. Urban For. Urban Green., 10, 295, 10.1016/j.ufug.2011.07.001

Uysal, 1994, Australian visitors to US national parks and national area, Int. J. Contemp. Hosp. Manag., 6, 18, 10.1108/09596119410059209

Confer, 1997, Relationships between motivations and recreation activity preferences among delaware state park visitors: An exploratory analysis, J. USDA. For. Serv., 232, 146

Pyo, 1989, Attraction attributes and motivations: A canonical correlation analysis, Ann. Tour. Res., 16, 277, 10.1016/0160-7383(89)90077-7

Xiang, 2010, Role of social media in online travel information search, J. Tour. Manag., 31, 179, 10.1016/j.tourman.2009.02.016

Zeng, 2014, What do we know about social media in tourism? A review, J. Tour. Manag. Perspect., 10, 27

Amaro, 2016, Travelers’ use of social media: A clustering approach, Ann. Res. Tour., 59, 1, 10.1016/j.annals.2016.03.007

Dwevedi, R., Krishna, V., and Kumar, A. (2018). Environment and Big Data: Role in Smart Cities of India. Resources, 7.

Hudson, 2013, The Impact of Social Media on the Consumer Decision Process: Implications for Tourism Marketing, J. Travel. Tour. Mark., 30, 156, 10.1080/10548408.2013.751276

Borgatti, 2009, Network analysis in the social sciences, J. Sci., 323, 892

Zhang, 2003, Data preparation for data mining, Appl. Artif. Intell., 17, 375, 10.1080/713827180

Blei, 2003, Latent Dirichlet Allocation, J. Mach. Learn. Res., 3, 993

Porter, 2018, Analyzing the Dark Net Markets subreddit for evolutions of tools and trends using LDA topic modeling, Digit. Investig., 26, 87, 10.1016/j.diin.2018.04.023

Graneheim, 2004, Qualitative content analysis in nursing research: Concepts, procedures and measures to achieve trustworthiness, Nurse Educ. Today, 24, 105, 10.1016/j.nedt.2003.10.001

Mimno, D., Wallach, H.M., Talley, E., Leenders, M., and McCallum, A. (2011). Optimizing semantic coherence in topic models. Assoc. Comput. Linguist., 262–272.

Jung, 2020, An alternative topic model based on Common Interest Authors for topic evolution analysis, J. Informetr., 14, 101040, 10.1016/j.joi.2020.101040

Suominen, 2016, Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification, J. Assoc. Inf. Sci. Technol., 67, 2464, 10.1002/asi.23596

Witten, I.H., Frank, E., and Hall, M.A. (2011). Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann Publishers. [3rd ed.].

Yau, 2014, Clustering scientific documents with topic modeling, Scientometrics, 100, 767, 10.1007/s11192-014-1321-8

Song, Y.Q., Pan, S.M., Liu, S.X., Zhou, M.X., and Qian, W.H. (2009, January 2–6). Topic and keyword re-ranking for LDA-based topic modeling. Proceedings of the 18th ACM Conference on Information and Knowledge Management, Hong Kong, China.

Park, 2017, A Big-Data Analysis of Presidential Issue Ownership of two Prestigious Korean Newspapers: Focusing on LDA (Latent Dirichlet allocation) Topic Modeling, J. Political Sci. Commun., 20, 25, 10.15617/psc.2017.10.31.3.25

Jia, S. (2018). Leisure Motivation and Satisfaction: A Text Mining of Yoga Centres, Yoga Consumers, and Their Interactions. Sustainability, 10.

Koo, 2013, Preferences of urban dwellers on urban forest recreational services in South Korea, J. Urban For. Urban Green., 12, 200, 10.1016/j.ufug.2013.02.005

Park, S.J., Hong, J.Y., and Kwak, D.A. (2020). Overseas Cases of Medical Linkage Services Using Forest Resources, National Institute of Forest Science. Available online: http://know.nifos.go.kr/book/search/DetailView.ax?sid=4&cid=174219.

Gianfredi, V., Buffoli, M., Rebecchi, A., Croci, R., Oradini-A, A., Stirparo, G., Marino, A., Odone, A., Capolongo, S., and Signorelli, C. (2021). Association between Urban Greenspace and Health: A Systematic Review of Literature. Int. J. Environ. Res. Public Health, 18.