Activity-based Study For The Evening Commute In The Public Transit Hub

The bottleneck problem for the evening commute in the public transit hub is a difficult problem that needs to be solved.In China's metropolitan areas,especially the CBD area,the travel demand in the evening commute is greater than the capacity of public transportation,resulting in traffic congestion and accidents.The bottleneck problem in the transportation hub directly limits the arrangement of people's activities.To reduce traffic congestion,the first solution to this problem is to increase the road supply,which provides more choices for travel activities.Second,inducing the choices of commuters' departure time and travel modes,thus relieving the traffic congestion at the public transportation.Therefore,the efficiency of the transportation system can be improved.For the second solution,based on the utility maximization theory,this paper investigates the evening commute problem in the transit hub.For exploring the allocation problem between activity and commute in the evening,this paper combines the bottleneck model and the activity-based method,innovatively introducing the public crowing cost into the study of evening commute problem in the transit hub.Based on the bottleneck model,we combine the travel behavior and activities together,and the public crowing cost is introduced in this paper.The dynamic model is established based on the utility maximization theory,in which commuters choose the departure time with the maximum utility value.Therefore,we can analyze some equilibrium properties for the evening commute.It is found that the dynamic travel behaviors in the activity-based bottleneck model are more interesting compared to that in the traditional bottleneck model,and the departure rate,queuing dynamics at the bottleneck behave more complex.The numerical results indicate that commuters would choose the two tails of the study period for higher crowing cost parameter.For maximizing their utilities,commuters should work for longer hours in the workplace,leading to the enlarged peak hours.