Research on public transport fuel subsidy allocation model

Urban public transport is a sustainable transportation strategy. Promoting public transport is an important means of urban transport sustainable development. Reasonable operation scheduling can increase the attractiveness of public transit systems and be conducive to the sustainability of transportation systems. Setting headways on a bus route is the key work of bus scheduling. For the refined management requirements of bus scheduling, this paper comprehensively considers the influence of three uncertainties on the bus route headway: passenger demand elasticity, which is an elasticity with respect to the supply of service, the randomness of the bus travel time between bus stops, and the abandoned passengers flow. A bus route headway allocation model is established. Considering the attractiveness of bus traveling and the interests of passengers, the objective functions are the maximum number of passengers waiting for the bus at each stop and the minimum number of passengers who fail to board. An enumeration combining a recursive algorithm under Monte Carlo random simulation conditions is designed to solve the problem. A comparison of the optimal bus departure interval (headway of the origin stop) under different conditions is studied using a numerical case. Under the same conditions, the results show that the model proposed in this paper can reduce the passengers waiting time and attract more passengers traveling by bus and it also meets the goal of sustainable public transport well. These findings are significant references for optimizing bus operations considering these uncertain factors.

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Research on passenger flow forecast of Urban Rail Transit

E3S Web of Conferences ◽

10.1051/e3sconf/202021303026 ◽

2020 ◽

Vol 213 ◽

pp. 03026

Author(s):

Xiao Li

Keyword(s):

Public Transport ◽

Urban Rail Transit ◽

Design Stage ◽

Rail Transit ◽

Allocation Model ◽

Passenger Flow ◽

Planning And Design ◽

Dongguan City ◽

Urban Rail ◽

Flow Forecast

Urban rail transit has the characteristics of large traffic volume, fast and convenient, so it has become the urban passenger transport mode which is given priority in the planning and design of each city. The prediction and analysis of rail transit passenger flow is a very important part in the planning and design stage. And it also provides important basic data for urban rail planning, construction and operation. When the rail transit network needs to be adjusted, the passenger flow forecast is also an essential step. In this paper, Taking Dongguan urban rail transit line 2 as an example, based on the full consideration of the uniqueness of Dongguan urban rail transit and the prediction of various social and economic indicators of Dongguan City, the “four step method” is adopted to forecast passenger flow. Through the investigation of resident’s travel survey, we can master the current travel distribution of all modes. Based on the analysis of land use change, traffic development policy and related influencing factors of Dongguan City, the trip distribution of each characteristic year is predicted. Then, the OD matrix of public transport (including subway and conventional public transport) is obtained through the study of traffic mode division model, and the predicted rail passenger flow is obtained through the allocation model of cooperation and competition. In the stage of passenger flow assignment, the influence of various factors on travel route selection is comprehensively considered in the public transport allocation model. Finally, the prediction index and sensitivity of rail passenger flow are analyzed.

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