AIMC Topic: Tourism

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Robot or human? Manoeuvring switching intention after robot service failure.

PloS one
This study attempts to scrutinise tourists' switching intentions towards human service after a robot service failure, with the zone of tolerance and trust on stance in technology as moderators. The study adopts the unified theory of acceptance and us...

MONTUR project: Dataset for understanding and forecasting tourist flows.

PloS one
This study presents an advanced system for monitoring and forecasting tourist flows in the Aosta Valley using distributed sensor technologies, cameras, and machine learning algorithms. This innovative system is designed to provide real-time data on a...

Enhanced backpropagation neural network accuracy through an improved genetic algorithm for tourist flow prediction in an ecological village.

Scientific reports
Extant tourism studies on predicting tourist flow often adopt Backpropagation Neural Network (BP-NN) and Genetic Algorithm-Backpropagation Neural Network (GABP-NN). However, those models cannot well address the challenge of nonlinear complexity of to...

Prediction of subjective well-being level in residents of Dali City: Where modern tourism meets traditional ethnic culture.

PloS one
OBJECTIVE: Dali is a city rich in tourism resources and cultural heritage, where residents' subjective well-being (SWB) varies in response to the dynamics of local tourism culture. Few studies have examined the distribution of SWB levels and their in...

Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses.

Scientific reports
Predicting students' grades through their classroom behavior has been a longstanding concern in education. Recently, artificial intelligence has demonstrated remarkable potential in this area. In this study, the Artificial Rabbits Optimization Algori...

The application of deep learning in economic analysis and marketing strategy formulation in the tourism industry.

PloS one
The tourism industry is ever-evolving in nature, as it operates in a global marketplace that has become progressively global and offers great potential due to technological advances. The tourism industry faces challenges in accurately forecasting eco...

Exploring the nexus between coastal tourism growth and eutrophication: Challenges for environmental management.

Marine pollution bulletin
Coastal tourism has witnessed rapid growth over the past two decades, often accompanied by increasing environmental concerns, particularly eutrophication in sensitive marine zones. This study explores the relationship between coastal tourism expansio...

The analysis of rural revitalization serviceplatform in smart city under back propagation neural network.

PloS one
To achieve rural revitalization and enhance the development of rural tourism, this study employs a back propagation neural network (BPNN) to construct a rural revitalization development model. Additionally, the Grey Relation Analysis (GRA) algorithm ...

Analysing how AI-powered chatbots influence destination decisions.

PloS one
This study aims to explore the role of destination chatbots as innovative tools in travel planning, focusing on their ability to enhance user experiences and influence decision-making processes. Based on the Technology Acceptance Model, Enterprise Co...

Planning and layout of tourism and leisure facilities based on POI big data and machine learning.

PloS one
The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights,...