Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The purpose of this study is to propose a comprehensive service model for integrating low-altitude technology into Guangzhou’s smart tourism ecosystem. This model aims to address the critical technological, operational, and governance challenges faced by urban tourism systems, providing a scalable framework to enhance operational efficiency, visitor satisfaction, and collaborative management. The study employs a theoretical approach by developing a three-layered service model based on extensive literature analysis, policy review, and case studies of drone applications in tourism. The model comprises the Core Technology Layer, Service Application Layer, and Governance and Collaboration Layer, each of which incorporates specific influencing factors, such as R&D investments, operational efficiency, and policy support. The research identifies the critical role of low-altitude technology, including drones, AI, IoT, and big data platforms, in transforming urban tourism systems. The findings demonstrate how real t ime data processing and seamless governance can enhance tourism services, such as monitoring, emergency response, and immersive experiences. Additionally, the study highlights the importance of collaboration among policymakers, businesses, and stakeholders in ensuring the sustainable implementation of low-altitude technology. This paper advances the theoretical understanding of integrating low-altitude technology into smart tourism cities by developing a structured service model. It enriches the academic discourse on urban tourism by addressing the interplay between technological innovation, service delivery, and regulatory frameworks, providing a foundational framework for future research. The proposed service model offers actionable insights for policymakers, urban planners, and businesses in Guangzhou and other urban tourism cities. By aligning technological infrastructure with service delivery and governance, the model provides a roadmap for improving operational efficiency, enhancing visitor experiences, and fostering public-private partnerships. It also offers guidance for addressing key challenges such as regulatory barriers, public acceptance, and cost-benefit considerations, paving the way for more efficient and sustainable tourism systems.
Rocznik
Tom
Strony
92--110
Opis fizyczny
Bibliogr. 39 poz., tab., wykr.
Twórcy
autor
- Hezhou University, No.3261 Xiaohe Avenue, Babu District, Hezhou City, Guangxi Province, 542899, Guangxi, China
Bibliografia
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- Askerbekov, D., Garza-Reyes, J. A., Ghatak, R. R., Joshi, R., Kandasamy, J., & Nascimento, D. L. de M. (2024). Embracing drones and the Internet of drones systems in manufacturing: An exploration of obstacles. Technology in Society, 78, 102648. doi: 10.1016/j.techsoc.2024.102648
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- Důbravová, H., Bureš, V., & Velfl, L. (2024). Review of the application of drones for smart cities. IET Smart Cities, 6(4), 312-332. doi: 10.1049/smc2.12093332
- Erdelj, M., Król, M., & Natalizio, E. (2017). Wireless sensor networks and multi-UAV systems for natural disaster management. Computer Networks, 124, 72-86. doi: 10.1016/j.comnet.2017.05.021
- Eshtaiwi, A., & Ahmed, A. A. (2024). Emergency response and disaster management leveraging drones for rapid assessment and relief operations. African Journal of Advanced Pure and Applied Sciences, 3(3), 35-50.
- Floreano, D., & Wood, R. J. (2015). Science, technology, and the future of small autonomous drones. Nature, 521(7553), 460-466. doi: 10.1038/nature14542
- Foina, A. G., Sengupta, R., Lerchi, P., Liu, Z., & Krainer, C. (2015). Drones in smart cities: Overcoming barriers through air traffic control research. In 2015 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS) (pp. 351-359). Cancun, Mexico.
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- He, X., He, F., Li, L., Zhang, L., & Xiao, G. (2022). A route network planning method for urban air delivery. Transportation Research Part E: Logistics and Transportation Review, 166, 102872. doi: 0.1016/j.tre.2022.102872
- Hossein Motlagh, N., Taleb, T., & Arouk, O. (2016). Lowaltitude unmanned aerial vehicles-based Internet of hings services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal, 3(6), 899-922. doi: 10.1109/JIOT.2016.2612119
- Huang, C., Fang, S., Wu, H., Wang, Y., & Yang, Y. (2024). Low-altitude intelligent transportation: System architecture, infrastructure, and key technologies. Journal of Industrial Information Integration, 42, 100694. doi: 10.1016/j.jii.2024.100694
- lkhanizadeh, S., Golabi, M., Hesami, S., & Rjoub, H. (2020). he Potential Use of Drones for Tourism in Crises: A Facility Location Analysis Perspective. Journal of Risk and Financial Management, 13(10), 246. doi: 10.3390/jrfm13100246
- Jiang, C., Li, X., Xu, J., & Hou, J. (2025). A study of the impact of networked low-altitude drone operations on the performance of big data services. In Y. Zhang, T. Cai, & L. J. Zhang (Eds.), Big Data – BigData 2024. Lecture Notes in Computer Science. Cham, Switzerland: Springer.
- Kellermann, R., Biehle, T., & Fischer, L. (2020). Drones for parcel and passenger transportation: A literature review. Transportation Research Interdisciplinary Perspectives, 4, 100088. doi: 10.1016/j.trip.2019.100088
- Lee, P., Hunter, W. C., & Chung, N. (2020). Smart Tourism City: Developments and Transformations. Sustainability, 12(10), 3958. doi: 10.3390/su12103958
- Li, Y., Hu, C., Huang, C., & Duan, L. (2017). The concept of smart tourism in the context of tourism information services. Tourism Management, 58, 293-300. doi: 10.1016/j.tourman.2016.03.014
- Li, Z. (2023). Analysis on the Development Prospect of Low-altitude Tourism in Hunan Province. International Journal of Education and Humanities, 10(3), 5-9. doi: 10.54097/ijeh.v10i3.11781
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- Madden, J. C., Brisson-Curadeau, É., Gillung, J. P., Bird, D. M., & Elliott, K. H. (2022). Optimal settings and advantages of drones as a tool for canopy arthropod collection. Scientific Reports, 12, 18008. doi: 10.1038/s41598-022-22446-z
- Mohamed, N., Al-Jaroodi, J., Jawhar, I., Idries, A., & Mohammed, F. (2020). Unmanned aerial vehicles applications in future smart cities. Technological Forecasting and Social Change, 153, 119293. doi: 10.1016/j.techfore.2018.05.004
- Muhmad Kamarulzaman, A. M., Wan Mohd Jaafar, W. S., Mohd Said, M. N., Saad, S. N. M., & Mohan, M. (2023). UAV Implementations in Urban Planning and Related Sectors of Rapidly Developing Nations: A Review and Future Perspectives for Malaysia. Remote Sensing, 15(11), 2845. doi: 10.3390/rs15112845
- Sevilla-Sevilla, C., Mendieta-Aragón, A., & Ruiz-Gómez, L. M. (2024). Drones in hospitality and tourism: A literature review and research agenda. Tourism Review, 79(2), 378-391. doi: 10.1108/TR-11-2022-0557
- Shafiee, S., Rajabzadeh Ghatari, A., Hasanzadeh, A., & Jahanyan, S. (2019). Developing a model for sustainable smart tourism destinations: A systematic review. Tourism Management Perspectives, 31, 287-300. doi: 10.1016/j.tmp.2019.06.002
- Suanpang, P., Niamsorn, C., Pothipassa, P., Chunhapataragul, T., Netwong, T., & Jermsittiparsert, K. (2022). Extensible Metaverse Implication for a Smart Tourism City. Sustainability, 14(21), 14027. doi: 10.3390/su142114027
- Um, T., & Chung, N. (2019). Does smart tourism technology matter? Lessons from three smart tourism cities in South Korea. Asia Pacific Journal of Tourism Research, 26(4), 396-414. doi: 10.1080/10941665.2019.1595691
- Wang, A., Wang, P., Miao, X., Li, X., Ye, N., & Liu, Y. (2020). A review on non-terrestrial wireless technologies for Smart City Internet of Things. International Journal of Distributed Sensor Networks, 16(6). doi: 10.1177/1550147720936824
- Wang, D., Li, X. R., & Li, Y. (2013). China’s “smart tourism destination” initiative: A taste of the servicedominant logic. Journal of Destination Marketing & Management, 2(2), 59-61. doi: 10.1016/j.jdmm.2013.05.004
- Wang, N., Mutzner, N., & Blanchet, K. (2023). Societal acceptance of urban drones: A scoping literature review. Technology in Society, 75, 102377. doi: 10.1016/j.techsoc.2023.102377
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3955e9f0-a54c-45f9-9370-2cb28eeee654
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