Traffic Demand Analysis Between Clusters Of Network City Based On Space Syntax

Current researches showed that network city was the inevitable trend of urban evolution.Analyzing and predicting traffic requirement based on the characteristics of multi-center,parallel-structure network city, optimizing and arranging traffic network were the toppriorities of urban traffic development in China. Studying the fundamental theory of networkcity traffic system, needs and supply levels, and the interaction between traffic system andurban space structure had both theoretical and practical significance to urban planning andconstruction.This thesis started with the analysis of urban development and evolution principles,clarified that cities were evolving from a single-centered, economy-propagating stereotype toa multi-centered, parallel-structure, inter-connected stereotype. The development mode waschanging from a style in which the center city boosted the periphery cities to a clustered,mutually dependent, cooperative style; This thesis also discussed the interaction betweenurban traffic system and city appearance, proposed a hypothesis that traffic supply level of aclustered city is the foundation of mass transport among nodes of the network, which is also akey to maintain the existence and development of clustered cities; interpreted the formationmechanism of the traffic demands of the network cities from a space perspective, analyzed thecharacteristics of traffic demands and modes of clustered cities, which provides a theoreticalbasis for traffic demands prediction from a spatial perspective.In addition, this study introduced a concept that utilized spatial syntax theory thatinterpreted the inter-spatial relationship to analyze traffic demands of network cities,described the evolution and development rule of spatial traffic flow; characterized the causeof traffic flow formation based on the impact of spatial structure of network cities to theeconomy development, land use, traveler subject factors, and mutual benefits among clusters,etc.; analyzed the influence of major space-based factors to traffic flow; suggested that thespatial syntax theory is more suitable for the prediction of traffic demands between networkcities nodes as compared to traditional methods.Furthermore, this thesis defined the prediction factors of traffic needs of network citiesnodes based on spatial syntax theory, utilized generalized gravity model, setup a traffic volume prediction model based on spatial syntax theory, and determined the priority offactors by grey relational analysis. The model was calibrated via regression analyses withmeanings interpreted. This thesis also generated a traffic structure evaluation model byutilizing the theory of generalized utility, which was calibrated by the theory of informationentropy.In the last, a case study in the city of Xi’an was conducted to justify the developed trafficvolume prediction model and traffic structure evaluation model in this thesis, where the trendof traffic volume evolution were analyzed and the traffic development strategies of the city ofXi’an is proposed based on the evaluation result.