Correlation Between Crowd Behavior Characteristics And Microclimate In Urban Parks In Severe Cold Regions

Urban parks have good ecological functions,can meet the diverse social needs of citizens,is an important place for leisure activities and social behavior,has an indispensable position in the city,especially in the quality of space and the micro-climate to create special attention.In the process of design and planning,designers should pay full attention to the spatial and temporal distribution of users and the microclimate change of high-concentration landscape space.This paper studies these two aspects so as to improve the utilization rate of parks.The users of parks in severe cold regions are more affected by the season.This paper takes typical cities and representative parks as the carrier,starts from the characteristics of people's behavior,and combines the spatial microclimate and thermal comfort to conduct quantitative research.By means of field survey,questionnaire survey and crowd behavior observation,the correlation analysis between crowd behavior characteristics,microclimate factors and thermal comfort indexes in parks in winter and summer was carried out to explore the internal correlation mechanism between the two.First of all,the city park in Harbin is sorted out and field research,and finally Xiangjiang Park is selected as the research object.In winter and summer,unmanned aerial vehicles(UAVs)were used for simultaneous observation combined with field observation to collect the temporal and spatial distribution of crowds in the park and draw behavioral maps.The density analysis function in Arc GIS software is used to identify and screen out the high-concentration landscape space with crowd behavior characteristics in different periods through density heat map.Secondly,four types of typical high aggregation space,namely footpath,square,vegetation and water,were selected to collect microclimate data through field measurement.The characteristics and change rules of microclimate in each space were analyzed,and an objective thermal comfort evaluation index--physiological equivalent temperature(PET)was introduced to evaluate the spatial thermal comfort.Finally,by using SPSS software,the mathematical statistics method to number of people involved in crowd behavior characteristics,gender,activity,and the measured park micro climate factor: air temperature,relative humidity,wind speed,the average radiation temperature and thermal comfort index correlation analysis,the significant correlation factor,further regression analysis,a regression model,quantitative analysis of the micro climate factors on the influence of crowd behavior characteristics.According to the above research results,it provides relevant theoretical reference for the spatial design and microclimate research of the same type of urban park.