Path Choice Behavior Research Of Subway Passengers Based On Type Of The Passengers

After years of construction,the railway network of large and medium-sized cities across the country has realized the transition from a single line to two or more lines,forming a complex road network structure in which the lines are open and closed,and the“seamless exchange ”has been generally implemented.This allows passengers to have multiple path options on the same OD path.As a result,the change of passenger flow in the road network presents a new pattern of diversified,static and dynamic coexistence.At the same time,it is affected by climate change,traffic environment and other factors,and the stability is also poor.Therefore,obtaining the distribution of passenger flow in the road network has become a major problem.The distribution of passenger flow in the road network is the data that urban traffic managers,operating organizers and passengers expect to obtain.Studies have shown that passengers path selection behavior can better reflect the distribution of passenger flow in the road network.The path selection is influenced by two factors: the path itself and the passenger attribute.The current mainstream research considers the path itself as more factors,considering fewer passenger attribute factors,and the research results are more fragmented.The system theory has not yet been formed,and further research is needed.This paper starts with the two factors of path attribute and passenger attribute,and studies the influence path selection behavior.When there are multiple options in the path,to obtain the passenger path selection probability,the influence of path attribute and passenger attribute on path selection behavior has been considered,Thereby,passenger flow distribution data between subway stations can be obtained.The main research contents are as follows:1.Use the depth-first search algorithm and filter the effective path.When there are multiple options in the path,the depth-first search algorithm is used to filter out the effective path set,and the search algorithm screening process is illustrated.2.Analyze the factors affecting the passenger path selection behavior and find the behavior law of the passenger selection path.From the two aspects of passenger individual attribute and path itself attribute,the factors affecting path selection behavior are summarized.Statistical data were used to analyze the sensitivity of passengers with different attributes to the factors affecting pathselection.The actual selection probability of the path was investigated.The chi-square test method is used to verify the correlation between passenger attributes and route selection,and the passengers are divided into eight types.3.Construct a path selection model for different types of passengers.Establish a path travel generalized cost model for calculating path costs.Establish a utility selection maximization and regret minimization path selection model for different passenger types,and calculate the selection probability.A path selection hybrid model considering the proportion of the two models is established,and the selection probability is calculated.The multiple parameters of the model were estimated using multiple linear regression.4.Take the Shenzhen Metro as an example to analyze the true reliability of the research content and method.Taking the Shenzhen railway network as an example,the unknown statistical parameters of the model were built using the example statistics.Using the utility maximization and regret minimization model,the path selection probabilities of different passenger types are calculated,the proportion of the two models in the hybrid model is calculated,the mixed model calculation formula is obtained,the path selection probability is calculated,and the selection of the three models is calculated.The probability is compared with the actual selection probability,and the hybrid model is used to calculate the path selection probability formula.Applying the mixed model calculation formula and combining the swipe data,the distribution of passenger flow in the path between ODs is derived.