Method Of Historic Urban Area Passenger Flow Characteristics Analysis Based On Big Data

The limited capacity of land use,traffic,environmental capacity and supporting facilities in historic urban areas is difficult to support sustained growth and diversified traffic demand.The rapid development of big data technology has greatly promoted the construction of intelligent city and intelligent traffic.Relying on big data technology,using information technology to analyze the traffic characteristics of historic urban area is of great significance for the formulation of traffic development strategy,the construction of transportation system and the utilization of transportation resources in historic districts.This paper expounds the traffic data analysis framework of urban historic area,from three levels of demand,facilities and service;puts forward indicators of traffic characteristics in historic urban areas based on big data analysis.This paper utilizes mobile phone data to analyze jobs housing spatial distribution;investigates job-housing relationship from living and working distance,commute time,commute distance;improves the job-housing recognition method using mobile phone data;develops the job and living space checking method;discusses the job housing balance relationship.Based on smart card data,the travel characteristics of historical urban residents are analyzed from the perspective of commuter travel and elastic travel.The identification method of commuter travel and elastic travel in historic urban area is put forward,and the commuting threshold of commuter travel is determined.By big data mining,the thesis presents a method to identify rail passenger origins and destination,the classification method of rail transit station is studied,Based on data fusion of bus credit card data and metro AFC data,the characteristics of transit transfer in historic urban area are analyzed,and an independent threshold transfer judgment model was built,and sensitivity analysis of threshold determination is carried out.This paper discusses the architecture of the big data platform,constructs function modules of traffic data platform in historic urban area,analyzes the application of the traffic data platform at different levels of traffic planning,puts forward the general design method of the platform.Finally,this paper takes the ancient city of Suzhou as an example,analyzes traffic characteristics of the ancient city of Suzhou.