Diachronic Characteristics Of Outdoor Fitness Activities In Cold Region

The behavior and space of outdoor fitness activities in cold areas have obvious temporal characteristics,especially in cold season and non-cold seasons.Based on the time dimension,the paper studies the diachronic characteristics of the fitness activity behavior and space,and establishes the multi-dimensional theoretical framework of the fitness activity time-space-behavior,introduces the hierarchy demand theory,space syntax theory and space sojourn theory.The concept and calculation formula of multi-dimensional quantitative index of outdoor national fitness are analyzed.The driving path of fitness activity time factor to the behavior level demand,the supporting path to the static space structure,and the mapping path to the dynamic space characteristics are defined.This paper constructs a theoretical model of the characteristics of fitness activities based on the time dimension.The data extraction and processing of outdoor fitness activities is the basis for the construction of diachronic characteristics of the activities.Taking the public space along Majiagou River between Hongjun Street and Xuanhua Street in Harbin as the sample space,taking daily cycle(Day and Hour),monthly cycle(month and week)and annual cycle(Autumn and Winter)as time granularity division,through SOAPRC observations,map of behavior record,unmanned aerial vehicle(UAV)observation,field survey,questionnaire survey and other research methods,the characteristic data of individual attributes,behavior representation,static and dynamic spatial data of 52 typical unit Spaces,154 path Spaces(including 55 typical path Spaces)and 10 snow and ice activity Spaces are obtained;In addition,Depthmap model,Arc GIS software,SPSS25.0 tool and other techniques are used to analyze and process data to obtain the diachronic characteristics of fitness activities and space.Finally,ANOVA analysis,independent sample-T test,Person correlation test,regression equation and other mathematical statistical methods are used to construct the spatial high-time-domain activity capacity model.Research follows the thought of "Filtrate basic theories-Build theoretical framework;Extract the sample data-Process sample data;Recognize behavior characteristics-Recognize spatial characteristics;Multiple factor regression equation-High activity capacity model".The behavioral and spatial characteristics of outdoor fitness activities are identified,and the diachronic characteristic model of different cycle activities was constructed.(1)Feature recognition.Under the granularity of daily cycle,monthly cycle and annual cycle,the behavioral characteristics of fitness crowd such as activity capacity,intensity,type,time,duration,frequency,age and gender composition and other behavioral characteristics of fitness crowd are explored;The spatial characteristics such as crowd aggregation density,activity aggregation heat,metabolism aggregation intensity,spatial dynamic effect and spatial function transformation are identified.(2)Model construction.Based on the characteristic data and spatial factors of fitness activities,factor action mechanism,influence degree,threshold range and spatial high-capacity model of different types of activities in daily cycle,monthly cycle and annual cycle are constructed.Under the time dimension horizon,through the recognition of the characteristics,discussion on the action mode of influence factor and construction of diachronic characteristic model of spatial high time domain activity capacity of outdoor fitness activities in cold regions,the fitness theory connotation is improved;a bridge between the multi-dimensional quantitative characteristics of outdoor public space under the action of time factor and the people health level is built.It provides a theoretical basis for active health intervention in human settlements,provides a new health paradigm for shaping an optimal space for fitness activities,and lays a solid foundation for improving the level of fitness and the quality of life of urban residents.