Yulin Liu | Queensland University of Technology (original) (raw)
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Massachusetts Institute of Technology (MIT)
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Papers by Yulin Liu
This paper presents a study on estimating the latent demand for rail transit in Australian contex... more This paper presents a study on estimating the latent demand for rail transit in Australian context. Based on travel mode-choice modelling, a two-stage analysis approach is proposed, namely market population identification and mode share estimation. A case study is conducted on Midland-Fremantle rail transit corridor in Perth, Western Australia. The required data mainly include journey-to-work trip data from Australian Bureau of Statistics Census 2006 and work-purpose mode-choice model in Perth Strategic Transport Evaluation Model. The market profile is analysed, such as catchment areas, market population, mode shares, mode specific trip distributions and average trip distances. A numerical simulation is performed to test the sensitivity of the transit ridership to the change of fuel price. A corridor-level transit demand function of fuel price is thus obtained and its characteristics of elasticity are discussed. This study explores a viable approach to developing a decision-support ...
Urban Management, Engineering, and Design
This paper reviews the main development of approaches to modelling urban public transit users' ro... more This paper reviews the main development of approaches to modelling urban public transit users' route choice behaviour from 1960s to the present. The approaches reviewed include the early heuristic studies on finding the least cost transit route and all-or-nothing transit assignment, the bus common line problem and corresponding network representation methods, the disaggregate discrete choice models which are based on random utility maximization assumptions, the deterministic use equilibrium and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models using either frequency or schedule based network formulation. In addition to reviewing past outcomes, this paper also gives an outlook into the possible future directions of modelling transit users' route choice behaviour. Based on the comparison with the development of models for motorists' route choice and traffic assignment problems in an urban road area, this paper points out that it is rewarding for transit route choice research to draw inspiration from the intellectual outcomes out of the road area. Particularly, in light of the recent advancement of modelling motorists' complex road route choice behaviour, this paper advocates that the modelling practice of transit users' route choice should further explore the complexities of the problem.
Notice: Changes introduced as a result of publishing processes such as copy-editing and formattin... more Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document.
Notice: Changes introduced as a result of publishing processes such as copy-editing and formattin... more Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document.
Tourism Management Perspectives, 2016
Notice: Changes introduced as a result of publishing processes such as copy-editing and formattin... more Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document.
Transport Reviews, 2010
This paper reviews the main studies on transit users' route choice in the context of transit assi... more This paper reviews the main studies on transit users' route choice in the context of transit assignment. The studies are categorised into three groups: static transit assignment; within-day dynamic transit assignment; and emerging approaches. The motivations and behavioural assumptions of these approaches are reexamined. The first group includes shortest-path heuristics in all-or-nothing assignment, random utility maximisation route-choice models in stochastic assignment, and user equilibrium based assignment. The second group covers within-day dynamics in transit users' route choice, transit network formulations, and dynamic transit assignment. The third group introduces the emerging studies on behavioural complexities, day-today and real-time dynamics in transit users' route choice. Future research directions are also discussed.
This paper presents a study on estimating the latent demand for rail transit in Australian contex... more This paper presents a study on estimating the latent demand for rail transit in Australian context. Based on travel mode-choice modelling, a two-stage analysis approach is proposed, namely market population identification and mode share estimation. A case study is conducted on Midland-Fremantle rail transit corridor in Perth, Western Australia. The required data mainly include journey-to-work trip data from Australian Bureau of Statistics Census 2006 and work-purpose mode-choice model in Perth Strategic Transport Evaluation Model. The market profile is analysed, such as catchment areas, market population, mode shares, mode specific trip distributions and average trip distances. A numerical simulation is performed to test the sensitivity of the transit ridership to the change of fuel price. A corridor-level transit demand function of fuel price is thus obtained and its characteristics of elasticity are discussed. This study explores a viable approach to developing a decision-support ...
Urban Management, Engineering, and Design
This paper reviews the main development of approaches to modelling urban public transit users' ro... more This paper reviews the main development of approaches to modelling urban public transit users' route choice behaviour from 1960s to the present. The approaches reviewed include the early heuristic studies on finding the least cost transit route and all-or-nothing transit assignment, the bus common line problem and corresponding network representation methods, the disaggregate discrete choice models which are based on random utility maximization assumptions, the deterministic use equilibrium and stochastic user equilibrium transit assignment models, and the recent dynamic transit assignment models using either frequency or schedule based network formulation. In addition to reviewing past outcomes, this paper also gives an outlook into the possible future directions of modelling transit users' route choice behaviour. Based on the comparison with the development of models for motorists' route choice and traffic assignment problems in an urban road area, this paper points out that it is rewarding for transit route choice research to draw inspiration from the intellectual outcomes out of the road area. Particularly, in light of the recent advancement of modelling motorists' complex road route choice behaviour, this paper advocates that the modelling practice of transit users' route choice should further explore the complexities of the problem.
Notice: Changes introduced as a result of publishing processes such as copy-editing and formattin... more Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document.
Notice: Changes introduced as a result of publishing processes such as copy-editing and formattin... more Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document.
Tourism Management Perspectives, 2016
Notice: Changes introduced as a result of publishing processes such as copy-editing and formattin... more Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document.
Transport Reviews, 2010
This paper reviews the main studies on transit users' route choice in the context of transit assi... more This paper reviews the main studies on transit users' route choice in the context of transit assignment. The studies are categorised into three groups: static transit assignment; within-day dynamic transit assignment; and emerging approaches. The motivations and behavioural assumptions of these approaches are reexamined. The first group includes shortest-path heuristics in all-or-nothing assignment, random utility maximisation route-choice models in stochastic assignment, and user equilibrium based assignment. The second group covers within-day dynamics in transit users' route choice, transit network formulations, and dynamic transit assignment. The third group introduces the emerging studies on behavioural complexities, day-today and real-time dynamics in transit users' route choice. Future research directions are also discussed.