Research On The Improvement Of Public Transport Service Quality In Ningbo Urban Area In Big Data Times

The term "big data" has become widely known in the community.The technology is now more used in business e-commerce,financial development and other fields,to expand the market share of enterprises,increase revenue,reduce costs and bring great benefits.However,the public service industry started later and developed more slowly.With the rapid development of urban public transport network and the continuous expansion of encryption,the demand of passengers for operation and service is also getting higher and higher,and the travel choices of different travelers are also becoming more diversified.This requires the bus industry based on the actual passenger travel needs,a reasonable decision bus route planning and service quality.However,there is no scientific and reasonable basis for decision-making in the actual operation of public transport industry in Ningbo at present,which is based on traditional man-made experience.This method is highly arbitrary,lack of scientific support for big data technology,low utilization of big data,overhead in practical application,and has not yet formed a set of institutionalized,normalized data analysis system.This article aims to efficiently locate bus operation and service issues based on big data analytics.And then put forward countermeasures to improve the service quality of urban public transport in the era of big data to improve the quality of public transportation services.Firstly,the research background and research significance of this big data analysis technology are expounded.Second,relying on the relevant theoretical knowledge,the factors involved in the operation of the bus are analyzed.On this basis,it expounds the current development of public transport service in urban areas,mainly analyzes several aspects of public transport capacity,punctuality,convenience and service information.Then according to the status quo,from the bus operation and passenger perception to evaluate the bus service quality.The main problems that exist are found out,and the reasons are tapped and analyzed in a targeted manner.The key points are to make in-depth discussions on bus service management,bus network planning,safety regulation and real-time dispatching.After that,based on the application of big data analysis technology in public transportation service,the paper puts forward some countermeasures to optimize bus operation network,improve day-to-day operation and management,strengthen operation monitoring and early warning and perfect transfer preferences.At the same time,from laws and regulations,funds,personnel to raise the level of industry information,increase the application of technology promotion.Finally,the advantages and disadvantages of big data technology are analyzed,and its development prospect is expected.