Abstract
Children's entertainment space is a place where people gather, and its environment will have an important impact on the health of users, especially for indoor children's entertainment space in cities. The thermal environment, acoustic environment and air quality of urban indoor children's entertainment space will have different influences on the people in it. But not all environmental factors attract attention. With the advancement of urbanization, large indoor children's entertainment space is ubiquitous in cities, which will become an important place for children's leisure and entertainment. However, there is no clear research result on the influencing factors and the degree of comfort of urban children's entertainment space. Therefore, this paper studies the comfort of urban indoor children's entertainment space, and tries to analyze the factors affecting comfort from both subjective and objective aspects through the method of big data. This paper obtains the evaluation of a large number of indoor children's entertainment space in cities, through the method of web crawler. We take Harbin (a typical city in northern China) as an example. The evaluation content is cleaned with R language, and the comfort of children's entertainment space was visualized through descriptive analysis. Then, stratified sampling (20% training set, 80% test set) was used to establish a prediction model for the comfort of children's entertainment space based on subjective factors (gender, age, exercise state, etc.) and objective factors (entertainment space type, space size, etc.). Finally, we use random forest and KNN model to find out the influence of objective and subjective factors on the comfort of children's entertainment space.
