Evaluation of the travel friendliness of children in a 15-min community life circle based on machine learning

In new era, the development of cities' travel space is emphasized by governments work report and 15-minute community living circles is increasingly concerned by people to meet the children's daily activities. Therefore, to instruct development of travel space in the child-friendly 15-minute community living circle, the paper built a model to evaluate the levels of child-friendliness in a community of Shanghai and provide some advises for future. Key indicators from questionnaires analysis and literature review are quantified and used in the machine learning model. Through evaluation and visualization in ArcGIS, the research has found that children's satisfaction level with travel is influenced by a combination of safety, comfort and fun. In the case community, the levels of safety in different streets are close and good. But, the levels of fun and comfort are unsatisfactory in whole and there is a big gap between different streets. Some measures are suggested to be implemented to meet the needs of children's travel space, enhancing the quality of child-friendliness of the living circle.