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Method Of Feeder Bus Network Design In The Urban Rail Transit Station Catchment Areas Under The Condition Of Networking

Posted on:2024-06-16Degree:MasterType:Thesis
Country:ChinaCandidate:X FengFull Text:PDF
GTID:2542307118465034Subject:Engineering
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The rapid development of rail transit in large cities has entered the stage of network operation,but the density of the network in the periphery of the city center is often lower than that of the center,and there is a large range of rail transit service gap.Under the condition of rail network,the short-distance feeder bus can better serve the residents’ commuting,and it is important to study the design of the feeder bus network in the catchment area of the rail station to guide the residents to choose the travel mode of "rail transit + feeder bus",enhance the residents’ satisfaction of public transport travel,meet the diversified personalized travel demand and promote the construction of multi-modal public transport system.The development process of rail network formation and the basic form of rail network were analyzed,and the scope of rail station catchment area was defined.According to the traffic characteristics under network formation conditions,the functional positioning of feeder buses and the difference between feeder buses and conventional buses were analyzed,and feeder buses were classified into four categories in terms of route form,service targets and service areas.Through complex network theory topology parameters(node degree,average path length,clustering coefficient),bus line network density and bus line non-linear coefficient,a bus network topology analysis index system was established.Based on the spatial blockage model,a model of the accessibility of feeder buses was constructed with time and spatial distance as variables.Using bus passenger flow OD data,the temporal and spatial distribution characteristics of feeder bus passenger flow and the travel characteristics of residents were analyzed.Based on the functional positioning and classification results of the feeder bus,it was divided into four types of demand groups.The POI data were mined and pre-processed,and divided into five categories,including transportation facilities(rail stations,bus stations,etc.),residential communities,workplaces(industrial parks,commercial areas,etc.),based on the demand groups and regional characteristics of the feeder bus service.A kernel density analysis model was constructed by considering the "distance decay effect".Based on the characteristics and functional positioning of the feeder bus,the service range of the station was analyzed.The optimal station spacing is 336 m.The optimal station location model is established by considering the distance from the bus stop to the bus stop and the passenger flow.The design factors of the feeder bus network are analyzed in terms of travel demand,accessibility and station location,and the design problems and processes of the feeder bus network are analyzed.With the objectives of minimizing passenger travel cost and maximizing line passenger density,a feeder bus line network design model is constructed,and the NSGA-II algorithm is used to solve the model with line control points,line running time and line length as constraints.Taking Suzhou city as an example,the peripheral area of the central district where the rail network is formed is selected,and the current situation of public transportation,residents’ travel characteristics and the topology of the bus network are analyzed.Based on the analysis of the density and accessibility of the bus network in the area affected by the rail stations,six rail stations were selected as bus feeder stations.The potential passenger flow demand and the hot spot location of residents’ travel in the design area of the feeder bus network were analyzed,and 187 candidate stations were obtained using the feeder bus station selection method,14 bus routes were designed,and the feeder bus network design plan was proposed.
Keywords/Search Tags:rail network formation, rail station catchment area, feeder bus, network design, multi-objective planning model
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