Combined decision-choice behavior of spectators considering personal preferences
Understanding the travel behavior characteristics of spectators is the key to solve the problem of the surge in traffic during the event and ensure the normal operation of urban traffic.Combining the 954 survey samples of the individual attributes,travel characteristics,spectators behavior characteristics and travel intention of the spectators,a structural equation model(SEM)can describe the causal relationship between four latent variables and eleven obvious variables from the perspectives of safety,convenience,economy and travel intention.Considering the potential impact of personal preference in the combined departure time decision and travel mode chosen behavior,a SEM Nested Logit(SEM-NLogit)model is developed to investigate the combined decision-choice behavior of spectators.The results show that the developed SEM-NLogit model has the best fit and accuracy,and the prediction accuracy is 87.06%,which is 6.99%and 18.18%improvement compared to the NLogit and multivariate logit models respectively.Moreover,the findings show that the elders prefer to departure early,more companions,higher income,more likely to choose a car to travel,and the spectators more emphasis on safety and economy when traveling,which is the findings that NLogit model cannot obtain,but it is more in line with the actual travel law.
urban trafficlarge-scale eventscombined decision-choice behaviornested Logit modelstructural equation model
NETL
NSTL
万方数据
