Study On Waiting Behavior Of Subway Passengers Under Incentives

With the acceleration of urbanization,the passenger flow using subway commuting is gradually increasing,accompanied by an increasingly prominent problem of uneven distribution of passenger flow at metro platforms.The existing measures to optimize the distribution of passenger flow at metro platforms are difficult to fully mobilize the self-organization ability of passengers.Based on this,this article proposes an economic incentive with two incentive methods,namely,red envelopes and points,to enhance the self-organization ability of passengers in waiting information guidance,encourage passengers to actively change their waiting behavior,and achieve a balanced distribution of passenger flow at the platform,in order to achieve the goal of integrating platform spatial resources and improving the efficiency of infrastructure boarding.The main contents and conclusions of this study are as follows:Firstly,by analyzing the functional requirements of the economic incentive for waiting at the passenger platform,the overall framework of the economic incentive system is designed,and the content and method of incentive release are determined.Based on research results at home and abroad,the main factors that affect passenger waiting behavior are analyzed,mainly including personal attributes,travel attributes,waiting environment characteristics,and travel psychological characteristics,in order to provide theoretical support for the questionnaire design in subsequent chapters.Secondly,based on the characteristics of traffic travel behavior survey methods and theories,a mixed uniform design method was used to develop the survey plan,and a paper questionnaire survey and video shooting survey of subway passengers were conducted in Fuzhou.The content of the questionnaire includes personal attribute surveys,travel attribute surveys,and situational surveys focusing on factors such as tolerance,incentive release time,and reward type,and statistical analysis of key factors in the survey data;The video capture survey is used as a supplement to the questionnaire to obtain the distribution of passengers in the actual waiting scene.Thirdly,based on the theory of disaggregation model,a decision-making mechanism model for exploring passenger waiting behavior is determined.By analyzing the three interactions between economic incentives and passenger waiting behavior,a nested Logit model is constructed,and key factors such as "incentive value","companion",and "incentive time" are selected based on the significance of model parameters.The evolution law of passenger waiting behavior under incentives is analyzed.The research shows that when the passenger movement distance exceeds 10 m,Economic incentives have significant effects;Compared to commuting on weekdays,holiday travelers have a higher degree of compliance with incentives;And as the number of peers increases,the willingness of recreational travelers to follow incentive guidance will also increase.Finally,combined with the actual waiting process of passengers in the video capture survey,using the Nanmendou Station of Fuzhou Metro Line 1 as an experimental platform,the implementation process of economic incentives is set using the Anylogic simulation software.By adjusting simulation parameters,the waiting behavior of passengers under incentives is simulated,and the reliability of the simulation is verified.After that,the incentive level is divided to determine the economic incentive setting conditions,and from the boarding efficiency,moving distance The analysis of incentive implementation effects from four aspects: baggage level and passenger flow density shows that: around the peak hours of this research platform,if a low level economic incentive mode is adopted,the incentive duration should be set at [2min,2.5min],while if a high incentive level is adopted,the incentive duration can be shortened to[1.5min,2min];In contrast,during peak periods,regardless of the incentive level,the duration of the incentive can be set within a wider range of [2min,2.5min].In addition,as the number of waiting passengers increases,incentives gradually shift the optimization goal from reducing the per capita boarding time consumption to increasing the number of passengers on a cycle.