China’s urbanization process has gradually shifted from incremental expansion to stock planning,and the spatial environment problems in the old city have become increasingly prominent.The actual conditions,such as poor traffic,disordered forms and lack of public space,have affected the daily quality of life of all kinds of people.In such a crowded and unorganized environment,campus in the old city are mostly sealed with boundaries,resulting in further separation of the outer space of the city in the aspects of streamline,line of sight,landscape system,etc.Existing researches on campus edge space are mostly optimization suggestions put forward at the macro level,lacking quantifiable optimization strategies.The development of pedestrian simulation technology makes it possible to refine the optimization strategy of campus edge space.Pedestrian simulation technology is used in the field of architecture to study the evacuation of people inside a specific space.This paper combines the simulation model with design strategy problems in the process of the scheme,and then puts forward a relatively specific optimization strategy for the edge space of colleges and universities in the old city.This paper focuses on the optimization strategy of the fringe space of campus in the old city based on pedestrian simulation,and takes the Sipailou Campus of Southeast University as the research and application object of the optimization strategy.The research can be divided into the following steps: First,through a large number of literature reading and case research,the overall cognition of the fringe space of campus in the old urban area is sorted out from the perspectives of spatial characteristics,element composition and function.On the basis of this cognition,the optimization principles of the fringe space of campus are defined.At the same time,through the study of pedestrian simulation technology,the simulation process of "Status Survey-Spatial Map-Behavior Definition-Data Output-Model Debugging-Data Analysis" is proposed.Secondly,under the guidance of the design principles of university fringe space,the morphological characteristics of university fringe space are transformed into a series of quantitative indicators,and the simulation model of Any Logic platform is built by combining the current survey data.Finally,through the simulation of different optimization scheme,taking the pedestrian crossing number and stopping number output by Any Logic simulation platform as evaluation indexes,the correlation and regression analysis of multiple groups of morphological quantitative indexes and evaluation indexes of fringe space was carried out to clarify the influence weight and suggested value range of each quantitative index,in order to form concrete fringe space optimization strategy for campus in the old city.In the introduction,there is the research background,object,scope,concept and so on.The second chapter studies the method of simulation technology,and clarifies the construction process of the simulation model and the current data requirements.The third chapter,through comparative analysis of the characteristics of different types of edge Spaces,combined with relevant literature and current situation investigation,forms an overall cognition of the fringe spaces of campus in the old city from three dimensions of spatial characteristics,element composition and function,and then clarifies the optimization principles.In the fourth chapter,the quantitative indicators of campus fringe space morphology under the guidance of the optimization principle are extracted,and then the simulation model of Any Logic platform is built,and the validity of the relevant indicators is verified by an example.The fifth chapter summarizes the optimization strategy of the fringe space of campus in the old city and makes clear the reasonable value range of each quantitative index by analyzing the data of the simulation results of multiple optimization schemes in three different periods of normal use interval,peak traffic period and holiday period of Sipailou Campus.The last chapter are conclusions and shortcomings of the current research,and puts forward the possible direction of further research in the future.There are more than 68000 words,82 diagrams and 33 illustrations. |