Analysis of spatial pattern of overweight in zanjan's neighborhoods based on travel patterns

extensive studies are conducted focusing on medical geography and the relationship between diseases and their spatial and spatial characteristics. The prevalence of obesity as a non-communicable disease that stems from lifestyle; Sedentary lifestyle as a global issue is one of the problems of a healthy city; In this study, with the aim of identifying the relationship between obesity and travel patterns in Zanjan has been investigated. In terms of research method, according to the content and components studied in the category of descriptive-analytical research, and in terms of the purpose of the study, applied research is considered a development. The initial information and data of the research have been collected in the form of documents and field. Multilayer perceptron neural network was used to predict and update the data of traffic areas of the city. Spatial information of 9 traffic indicators in relation to travel vectors by traffic areas are prepared through ArcGis software and after fuzzy information layers and determining the degree of membership of each component, finally using a combination of fuzzy maps with the help of fuzzy operators, map Final and integrated. The final map shows the areas prone to obesity in Zanjan in terms of travel patterns. The results of this paper show that less than 3% of the city area are areas prone to obesity. In contrast, more than 69.90% of the city area is a very favorable area for obesity in Zanjan.