| With rapid urban development,China is in a period of rapid urbanization.At the present stage,some big cities in China are already in the pattern of "reinforced concrete forest",and many cities hope to increase the building area by increasing the building density.However,in fact,land resources are limited,the urban population is gradually growing,and the speed of urbanization is also accelerating.There is a difficult situation of shortage of land resources in cities.The emergence of underground public space not only helps the city to improve the land carrying capacity,but also alleviates the problem of insufficient land resources.It also improves the urban environment,provides more space for the city and provides a guarantee of a comfortable life.There are also many problems with the development of underground public space.The special environment of underground space,such as claustrophobia,darkness,damp and so on,makes pedestrians unable to have a strong sense of direction like walking on the ground,and road finding efficiency is greatly reduced.At present,the development requirements of underground space at home and abroad are more refined.It is imperative to improve the road finding efficiency of underground public space.Underground public space is a comprehensive,coordinated and sustainable complex system.To study its road finding efficiency,we should not only consider the connection of various spaces in the building,but also consider the physiological and psychological needs of pedestrians walking in it,as well as the interaction between man and building.These complex factors complement each other and influence each other,forming a complex system.Combined with the previous research on underground public space and road finding efficiency,this paper puts forward the idea of using a multivariate measurement method to study the road finding efficiency of underground public space.The research is mainly divided into four stages: raising questions,method construction,case calculation,optimization strategy and summary.The specific research context is as follows:The first part raises questions(Chapters 1 and 2): expounds the background,purpose and significance of the research,combs and summarizes the relevant research on underground public space and road finding efficiency at home and abroad.This paper expounds the underground public space,the efficiency of path finding,the relevant methods used,space syntax,Dijkstra algorithm and other related theories.This paper explores the problem that the research on pathfinding efficiency is mostly conducted from a single perspective in the current research,and puts forward the tentative idea of multivariate testability method.The second part is method construction(Chapter 3): This is the core chapter of this paper.Based on the systematic analysis of underground space pathfinding efficiency,this paper puts forward the multivariate measurement method,uses the multivariate measurement method to establish a complete index system framework,uses the critical method to screen the index system,expounds in detail each index and index calculation method,and finally establishes the evaluation grade with the help of TOPSIS method,It lays an important foundation for the following case calculation.The third part is case calculation(Chapter 4): this part introduces the actual case of underground public space of Shishan Tianjie,Longhu,Suzhou through the established multivariate measurement method,evaluates its road finding efficiency,and carries out field experimental test on the evaluation results to prove that the research method is feasible.The fourth part is the optimization strategy and summary(Chapters 5 and 6):through the previous evaluation of the case,explore the problems existing in the efficiency of underground public space in road finding,and put forward the corresponding optimization strategy according to the problems,hoping to be applied to other underground public spaces.This part also summarizes the previous research,summarizes the main conclusions and shortcomings of the paper,and looks forward to the follow-up research on the road finding efficiency of underground public space. |