Lingyun Gao, Qingxu Yang
Shenzhen Tourism College, Jinan University, Shenzhen, Guangdong, 518053, China
Smart tourism city is the combination and application of the concepts of "smart tourism" and "smart city" in the tourism industry and tourist activities, and is the upgrading of tourism information under the wave of new technology. With the advent of the era of big data, collecting online travel notes to build a text database can obtain the comprehensive perception of tourism destination image. Urban tourism image perception records the tourism resources and impressions of Shenzhen, reflects the concerns and demands of tourists on tourism, and provides necessary information basis and decision-making reference for the construction of a smart tourism city based on tourism behavior. This paper takes tourist travel notes collected by Ctrip and Mafengwo as research samples, the text analysis method is used to extract the high-frequency characteristic words of Shenzhen's image perception, and obtains the main tourism resources and tourist behavior characteristics of Shenzhen .The research results show that we should start from the construction of smart scenic spots, smart tourism facilities, smart platform, smart city group linkage and other measures, so as to successfully develop smart tourism in Shenzhen and achieve the goal of building Shenzhen as a smart city.
Smart tourism; Text analysis; Image perception
Lingyun Gao, Qingxu Yang. Empirical Suggestions on Constructing Smart Tourism City Based on City Tourism Image - Taking Shenzhen as an Example. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 3: 7-10. https://doi.org/10.25236/AJEE.2022.040302.
 Yao Guozhang, Chen Fei, Zhou Xiaoping, Zhou Bingqian. Research on the Evaluation System of Smart Tourism [J]. China Business, 2013(20): 110-111.
 Zhang Lingyun, Li Yi, Liu Min. The basic concept and theoretical system of smart tourism [J]. Journal of Tourism, 2012, 27(05): 66-73.
 Bai Ran, Tian Minna, Li Qingsheng, Su Hang. Discussion on the construction of smart tourism city in the era of big data [J]. Business and Economic Research, 2021(04): 180-182.