Logistic Regression Model and Decision Trees to Analyze Changes in Tourist Behavior: Tungurahua Case Study

Sanchez, Angélica; Martínez, Johanna Gabriela Monge; Ballesteros, Leonardo; Armas-Arias, Sonia

doi:10.1007/978-3-030-96046-9_16

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Since it might estimate any function, examine its architecture, but do not provide information about the feature getting estimated. In [24], decision-tree model (DTM) a little fall in the price might cause a significant change in the design of the tree structure, leading to instability. Decision trees may well have substantially more complicated computations than other systems [25].…”

Section: Discussionmentioning

confidence: 99%

The Influencing Factors of Spatial Layout of SKI Venues in China and the Influence of Internet of Things Technology on Their Structural Optimization

Zheng

Bai

Xian-peng

2022

Wireless Communications and Mobile Computing

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Skiing is currently the most popular winter outdoor recreation in China, thanks to the progressive growth of the ski sector. The construction of ski resorts would assist mountain communities economically. The Chinese ski sector is now booming, with the number of ski resorts expanding considerably. The geographical structure and driving causes for these ski regions, however, are poorly understood. Applying nearest neighbor ratio (NNR) analysis and the Spatial Lorentz Curve, this research examines the spatial patterns of these venues in detail. Kernel density estimation is used to identify hotspots (KDE). Furthermore, a regression analysis was used to discover the characteristics that influence the spatial distribution. We also look at the impact of the Internet of Things (IoT) on venue structural optimization. While China’s ski regions were regionally distributed, the results show that ski areas are much a higher chance of being found at latitudes (northeast and northwest China) than at latitudes (central and south China). The key elements that affect the distribution of resorts vary by location and ski resort type. The implications for the ski resorts sector are explored, including the varied practices for cold and hot spot regions of China’s ski areas, as well as the ski industry’s future development orientation.

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Section: Discussionmentioning

confidence: 99%

The Influencing Factors of Spatial Layout of SKI Venues in China and the Influence of Internet of Things Technology on Their Structural Optimization

Zheng

Bai

Xian-peng

2022

Wireless Communications and Mobile Computing

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Development of a convolutional neural network based regional flood frequency analysis model for South-east Australia

Afrin,

Ahamed,

Rahman

2024

Nat Hazards

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Flood is one of the worst natural disasters, which causes significant damage to economy and society. Flood risk assessment helps to reduce flood damage by managing flood risk in flood affected areas. For ungauged catchments, regional flood frequency analysis (RFFA) is generally used for design flood estimation. This study develops a Convolutional Neural Network (CNN) based RFFA technique using data from 201 catchments in south-east Australia. The CNN based RFFA technique is compared with multiple linear regression (MLR), support vector machine (SVM), and decision tree (DT) based RFFA models. Based on a split-sample validation using several statistical indices such as relative error, bias and root mean squared error, it is found that the CNN model performs best for annual exceedance probabilities (AEPs) in the range of 1 in 5 to 1 in 100, with median relative error values in the range of 29–44%. The DT model shows the best performance for 1 in 2 AEP, with a median relative error of 24%. The CNN model outperforms the currently recommended RFFA technique in Australian Rainfall and Runoff (ARR) guideline. The findings of this study will assist to upgrade RFFA techniques in ARR guideline in near future.

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Research on Mining and Analyzing Tourists’ Consumption Habits in Tourism Management

2024

Applied Mathematics and Nonlinear Sciences

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The rapid development of the tourism industry has led to a continuous change in the way of tourism consumption. This paper takes the information of tourists’ consumption behavior as the research object and investigates their consumption habits. This paper adopts the fuzzy clustering (FCM) algorithm to analyze tourists’ consumption habits and clustering validity indexes and then uses the association rule algorithm on the basis of the FCM algorithm to mine the factors affecting tourists’ consumption habits in tourism management. In this paper, tourists are divided into five categories: free youth, couples, parents and children, families, and explorers. In tourism consumption, the top three primary concerns of tourists are “attraction characteristics, safety and consumption, which account for 30.34%, 18.04% and 12.07%, respectively. In the process of tourists’ tourism consumption, 93.47% of the concern factors are attraction features, with a confidence level of 98.76% and rule enhancement of 1.245, respectively. In addition, the probability of security and consumption appearing in the text at the same time is high, with rule support, confidence level, and enhancement of 89.52%, 75.59%, and 1.045, respectively. Attention should be given to the characteristics of attraction, safety, consumption, and service simultaneously. The results of this paper help to identify tourists’ consumption preferences and provide suggestions for tourism management centers to accurately understand tourists’ consumption habits.

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Logistic Regression Model and Decision Trees to Analyze Changes in Tourist Behavior: Tungurahua Case Study

Cited by 3 publications

References 13 publications

The Influencing Factors of Spatial Layout of SKI Venues in China and the Influence of Internet of Things Technology on Their Structural Optimization

The Influencing Factors of Spatial Layout of SKI Venues in China and the Influence of Internet of Things Technology on Their Structural Optimization

Development of a convolutional neural network based regional flood frequency analysis model for South-east Australia

Research on Mining and Analyzing Tourists’ Consumption Habits in Tourism Management

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