Article: From smart facilities to smart services: building a new ecosystem integrating tourism and smart cities Journal: International Journal of Environment and Sustainable Development (IJESD) 2026 Vol.25 No.6 pp.42 - 62 Abstract: The lack of integration between the tourism industry and smart cities affects the tourist experience and the efficiency of urban management. This paper collects data on tourist behaviour and urban operations through IoT sensors and mobile internet data. It uses support vector machines and random forest algorithms to perform demand forecasting and behaviour analysis. Then, convolutional neural networks and long short-term memory networks are used to optimise personalised service recommendations for tourists and to schedule urban resources. The experimental results show that average tourist satisfaction has increased by 8 points, and the average urban management response time has been reduced by 102 seconds. Through this intelligent, collaborative approach, this paper has achieved deep integration between tourism and smart cities, providing a feasible solution for future smart city development. Inderscience Publishers - linking academia, business and industry through research

Title: From smart facilities to smart services: building a new ecosystem integrating tourism and smart cities

Authors: Guanxi Chen; Jiajun Chen

Addresses: School of Design, NingboTech University, Ningbo, 315100, Zhejiang, China ' School of Business, Nantong Institute of Technology, Nantong, 226002, Jiangsu, China

Abstract: The lack of integration between the tourism industry and smart cities affects the tourist experience and the efficiency of urban management. This paper collects data on tourist behaviour and urban operations through IoT sensors and mobile internet data. It uses support vector machines and random forest algorithms to perform demand forecasting and behaviour analysis. Then, convolutional neural networks and long short-term memory networks are used to optimise personalised service recommendations for tourists and to schedule urban resources. The experimental results show that average tourist satisfaction has increased by 8 points, and the average urban management response time has been reduced by 102 seconds. Through this intelligent, collaborative approach, this paper has achieved deep integration between tourism and smart cities, providing a feasible solution for future smart city development.

Keywords: smart city; tourism industry; big data; artificial intelligence; convolutional neural network; CNN.

DOI: 10.1504/IJESD.2026.154268

International Journal of Environment and Sustainable Development, 2026 Vol.25 No.6, pp.42 - 62

Received: 13 Aug 2025
Accepted: 11 Mar 2026
Published online: 18 Jun 2026 *

Title: From smart facilities to smart services: building a new ecosystem integrating tourism and smart cities

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