Profiling unmanned aerial vehicle photography tourists

Chen, Xiliang; Li, Gang; Yang, Lan; Nie, Qifan; Ye, Xinyue; YanJun, Liang; Xu, Tingting

doi:10.1080/13683500.2019.1653832

Cited by 23 publications

(7 citation statements)

References 29 publications

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“…Two of them (Fu et al , 2019; Hao et al , 2019) used WiseNews as an information source. Other interesting but rarely analyzed materials included guestbooks (Magliacani et al , 2018), text captions of photographs (Chen et al , 2019) and destination marketing materials (Zhang et al , 2019). Overall, the findings are in line with the mainstream literature that online reviews and tweets are some of the most analyzed data types (Mäntylä et al , 2018).…”

Section: Methodological Evolution Of Sentiment Analysismentioning

confidence: 99%

“…The second most popular analysis on sentiment variables was of the non-relational type. In this regard, not only descriptive tables were presented but also visualization tools such as GIS (Chen et al , 2019; Park et al , 2018) and word clouds (Magliacani et al , 2018) were also available. The third most popular type of analysis was those related to comparison.…”

Section: Methodological Evolution Of Sentiment Analysismentioning

confidence: 99%

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Sentiment analysis in hospitality and tourism: a thematic and methodological review

Mehraliyev

Chan

Kirilenko

2021

IJCHM

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Purpose This study aims to conduct a systematic review and critically analyze the sentiment analysis literature in hospitality and tourism from methodological (data sets and analyzes) and thematic (topics, theories, key constructs and their relationships) perspectives. Design/methodology/approach Qualitative thematic review and quantitative systematic review were performed on 70 papers obtained from hospitality and tourism categories of two databases, namely, Web of Science and Scopus. Findings A total of 5 topics and 27 sub-topics were identified and the major theme is market intelligence. Sentiment variables were investigated not only as independent but also as dependent variables. The customer rating is the most investigated dependent variable, whereas moderators and mediators were rarely tested. Most reviewed studies did not use theory. The findings from the methodological review show that analysis of big data was rare. Moreover, testing the performance of sentiment analyzes was uncommon, and only one paper tested the performance of aspect/feature extraction. Research limitations/implications This study extends prior review studies by providing a comprehensive view of how knowledge and methodologies of sentiment analysis have developed. The identified themes and key constructs serve as a solid base for future knowledge advancement. Future research directions on sentiment analysis are also provided. Originality/value To the best of the authors’ knowledge, this study is the first comprehensive methodological and thematic review of sentiment analysis in hospitality and tourism. Based on the identified findings, the authors propose several directions for future research.

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Section: Methodological Evolution Of Sentiment Analysismentioning

confidence: 99%

Section: Methodological Evolution Of Sentiment Analysismentioning

confidence: 99%

Sentiment analysis in hospitality and tourism: a thematic and methodological review

Mehraliyev

Chan

Kirilenko

2021

IJCHM

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“…The proposed method relies on very high-resolution overhead and street view imagery. Using UAV is a cost-effective way to produce images (Chen et al, 2020). For those roads without street view images or the image is outdated, our method cannot restore the missing sidewalks.…”

Section: Discussionmentioning

confidence: 99%

Sidewalk extraction using aerial and street view images

Ning

Chen

et al. 2021

Environment and Planning B: Urban Analytics and City Science

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A reliable, punctual, and spatially accurate dataset of sidewalks is vital for identifying where improvements can be made upon urban environment to enhance multi-modal accessibility, social cohesion, and residents' physical activity. This paper develops a synthetically new spatial procedure to extract the sidewalk by integrating the detected results from aerial and street view imagery. We first train neural networks to extract sidewalks from aerial images, and then use pre-trained models to restore occluded and missing sidewalks from street view images. By combining the results from both data sources, a complete network of sidewalks can be produced. Our case study includes four counties in the U.S., and both precision and recall reach about 0.9. The street view imagery helps restore the occluded sidewalks and largely enhances the sidewalk network's connectivity by linking 20% of dangles.

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“…This presents a productive research gap. Work is evolving relating to tourist photography and videography via drones (Chen et al , 2020; Dinhopl and Gretzel, 2016; Vujičić et al , 2022), use in destination marketing promotion (Stankov et al , 2019) and for virtual tours. The study also noted a significant deficiency in research related to the study of UAVs application in hospitality for food delivery services.…”

Section: Research Agenda Settingmentioning

confidence: 99%

Drones in hospitality and tourism: a literature review and research agenda

Sevilla

Mendieta-Aragón

Ruiz-Gómez

2023

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Purpose Drones have become an important element within hospitality and tourism. The purpose of this study is to identify the corpus of knowledge and create a research agenda that establishes appropriate guidelines for future study of drone application in hospitality and tourism. Design/methodology/approach This work has been undertaken using a mixed-methods approach that combines quantitative and qualitative research and includes a review of the literature related to the study of drone use in hospitality and tourism. Findings The mixed-methods review identified gaps in the research, potential areas of study to enhance the scientific literature and potential uses of drones in tourism and hospitality for researchers, consumers and industry professionals. Originality/value This study makes an original contribution by establishing an integrated framework, which led to a synthesis of the research corpus and provided a holistic conceptualisation of the relationship between tourism and drones. In addition, the research agenda proposed will help boost and consolidate this emerging field of research.

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Profiling unmanned aerial vehicle photography tourists

Cited by 23 publications

References 29 publications

Sentiment analysis in hospitality and tourism: a thematic and methodological review

Sentiment analysis in hospitality and tourism: a thematic and methodological review

Sidewalk extraction using aerial and street view images

Drones in hospitality and tourism: a literature review and research agenda

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