Personalized Route Planning of Rural Ecotourism Using Mobile Computing and Random Forest Algorithm
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Ningguang Xie Academic Editor: Xin NingAuthors Info & Claims
Abstract
Tourism has evolved from a few high-end items to a mass market, and it has become an integral part of people’s daily lives. Tourist routes connect tourist sources and destinations, whether they are part of a group tour or a road trip. Tourist routes that are designed scientifically and rationally can improve tourist satisfaction while also highlighting the unique characteristics of various tourist destinations and promoting the long-term development of tourist destinations. Ecotourism is a necessary component of China’s tourism industry’s long-term development, as well as a key component of the country’s low-carbon economy. This paper examines some basic problems in rural tourism planning using the random forest algorithm and proposes planning strategies and methods for its core content in order to promote the development of rural ecotourism. Tourist route optimization is beneficial not only to obtaining reasonable routes to meet tourists’ needs but also to maximizing resource utilization, which is beneficial to environmental protection and balanced economic development.
References
[1]
K. Soonki, “World heritage site designation impacts on a historic village: a case study on residents' perceptions of Hahoe Village (Korea),” Sustainability, vol. 8, no. 3, p. 258, 2016.
[2]
C. Vogt, E. Jordan, N. Grewe, and L. Kruger, “Collaborative tourism planning and subjective well-being in a small island destination,” Journal of Destination Marketing & Management, vol. 5, no. 1, pp. 36–43, 2016.
[3]
J. Zhang, “Tourism and environmental subjectivities in the Anthropocene: observations from Niru Village, Southwest China,” Journal of Sustainable Tourism, vol. 27, no. 4, pp. 488–502, 2019.
[4]
S. Pratt, S. Mccabe, A. Movono et al., “Gross happiness of a 'tourism' village in Fiji,” Journal of Destination Marketing & Management, vol. 5, no. 1, pp. 26–35, 2016.
[5]
X. Li, C. Xie, A. M. Morrison, and T. H. H. Nguyen, “Experiences, motivations, perceptions, and attitudes regarding ethnic minority village tourism,” Sustainability, vol. 13, no. 4, p. 2364, 2021.
[6]
S. M. Sergeev, A. A. Kurochkina, O. V. Lukina, and V. E. Zasenko, “Interactive algorithm for estimating consumer demand for tourism services for sustainable operation of the transport industry,” in In IOP Conference Series: Materials Science and Engineering, Novosibirsk, Russia, 2020.
[7]
A. Sg, J. A. Yao, and L. Wen, “Urban tourism competitiveness evaluation system and its application: comparison and analysis of regression and classification methods,” Procedia Computer Science, vol. 162, pp. 429–437, 2019.
[8]
Y. Feng, G. Li, X. Sun, and J. Li, “Forecasting the number of inbound tourists with Google Trends,” Procedia Computer Science, vol. 162, pp. 628–633, 2019.
[9]
H. Sahour, V. Gholami, J. Torkaman, M. Vazifedan, and S. Saeedi, “Random forest and extreme gradient boosting algorithms for streamflow modeling using vessel features and tree-rings,” Environmental Earth Sciences, vol. 80, no. 22, pp. 1–14, 2021.
[10]
H. Huang and S. Gao, “Aspiring to Be Global: Language and Social Change in a Tourism Village in China. Bristol: Multilingual Matters,” Language in Society, 2020, vol. 49, no. 5, pp. 793–794, 2019.
[11]
N. Azis, M. Amin, S. Chan, and C. Aprilia, “How smart tourism technologies affect tourist destination loyalty,” Journal of Hospitality and Tourism Technology, vol. 11, no. 4, pp. 603–625, 2020.
[12]
B. Xca, “A phenomenological explication of _guanxi_ in rural tourism management: a case study of a village in China,” Tourism Management, vol. 63, pp. 383–394, 2017.
[13]
N. Cucari, E. Wankowicz, and S. E. De Falco, “Rural tourism and Albergo Diffuso: a case study for sustainable land-use planning,” Land Use Policy, vol. 82, pp. 105–119, 2019.
[14]
J. Gao and B. Wu, “Revitalizing traditional villages through rural tourism: A case study of Yuanjia Village, Shaanxi Province, China,” Tourism Management, vol. 63, no. 12, pp. 223–233, 2017.
[15]
E. Kastenholz, C. Eusébio, and M. J. Carneiro, “Segmenting the rural tourist market by sustainable travel behaviour: insights from village visitors in Portugal,” Journal of Destination Marketing & Management, vol. 10, pp. 132–142, 2018.
[16]
S. Lan and Y. Zhu, “Application of Hopfield algorithm in the planning and designing of sports tourism route,” Revista de la Facultad de Ingenieria, vol. 32, no. 14, pp. 402–408, 2017.
[17]
I. Kadek and M. Wijaya, “Implementation of community-based ecotourism concept in Paksebali Tourism Village, Bali Indonesia,” Solid State Technology, vol. 63, no. 5, pp. 4877–4887, 2021.
[18]
C. Iliopoulou, K. Kepaptsoglou, and O. Schinas, “Energy supply security for the Aegean islands: a routing model with risk and environmental considerations,” Energy Policy, vol. 113, no. 2, pp. 608–620, 2018.
[19]
A. Arif and J. T. Du, “Understanding collaborative tourism information searching to support online travel planning,” Online Information Review, vol. 43, no. 3, pp. 369–386, 2019.
[20]
W. Fei and D. F. Li, “Bilinear programming approach to solve interval bimatrix games in tourism planning management,” International Journal of Fuzzy Systems, vol. 18, no. 3, pp. 504–510, 2016.
[21]
F. K. Fadafan, A. Danehkar, and S. Pourebrahim, “Developing a non-compensatory approach to identify suitable zones for intensive tourism in an environmentally sensitive landscape,” Ecological Indicators, vol. 87, no. 4, pp. 152–166, 2018.
[22]
L. Yi, “85.Application of GIS technology in tourism route design,” Boletin Tecnico/Technical Bulletin, vol. 55, no. 20, pp. 599–604, 2017.
[23]
H. Yang, “Study on the optimization model of tourism environmental carrying capacity based on tourism planning,” Revista de la Facultad de Ingenieria, vol. 32, no. 12, pp. 1082–1089, 2017.
[24]
X. Min, “Research on planning and design of tourism ecological small town based on spatial visual design method,” Revista de la Facultad de Ingenieria, vol. 32, no. 16, pp. 453–459, 2017.
[25]
X. Hu, “Geographic landscape space and tourism planning of Longtan Ancient Village,” Boletin Tecnico/Technical Bulletin, vol. 55, no. 15, pp. 627–632, 2017.
[26]
A. Jp, A. Ww, B. Kc, and L. Pimonsree, “Scenario planning for low carbon tourism city: a case study of Nan,” Energy Procedia, vol. 152, pp. 715–724, 2018.
[27]
H. Mehdi, G. M. Mojtaba, M. L. Seyed, H. Faraji Sabokbar, and L. Pennington-Gray, “Spatial analysis of the distribution of small businesses in the eastern villages of Gilan Province with emphasis on the tourism sector in mountainous regions,” Sustainability, vol. 9, no. 12, p. 2238, 2017.
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Copyright © 2022 Ningguang Xie.
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Published: 01 January 2022
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