Long-term planning for ring-radial urban rail transit networks

Saidi, Saeid; Wirasinghe, S. C.; Kattan, Lina

doi:10.1016/j.trb.2016.01.017

Cited by 54 publications

(22 citation statements)

References 39 publications

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“…Given their advantages, they are widely used in large size applications. In the CAs, only a small number of continuous functions are established; e.g., travel demand is expressed as a density function, while lines and stations are specified in terms of the spacing between them [33][34][35].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Unlike discrete models, the continuous approximation models unveil the relations between inputs and outputs, which can instruct and support real world applications greatly [14,20,24,28]. Tracing back to the beginning of transit network design study, [23] did the pioneering work to explore a grid transit system, followed by a pile of works [5,35]. ompson [36] made a simple comparison between four different structures: radial, ubiquitous, grid, and timed transfer.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e results showed that the ring-radial networks perform better than the grid patterns. Saidi et al [35] explored the long-term planning for ring-radial urban rail transit. In their work, the optimal number of radial lines is rst examined and then the passenger route choice is analyzed according to the total travel cost rather than the shortest distance, which distinguishes their work from others' .…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of a Flexible Transit Network in a Radial Street Pattern

Shi

Gao

2020

Journal of Advanced Transportation

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Traditional transit systems are usually composed of fixed routes and stops, which are suitable in densely populated areas. This paper presents a reformulation of the flexible transit model developed by Nourbakhsh and Ouyang (2012) to adapt it to many low demand cities in the world, especially those characterized by radial street patterns. Unlike traditional ones, buses of the proposed transit network are allowed to traverse in a predetermined service area and their precise trajectories hinge on the exact locations of passengers. To identify the optimal topology structure of the flexible transit system, continuous approximation approaches are developed to explore the optimal value of design parameters of the whole system, defining the optimal network layout through minimizing its objective function. To exhibit its advantages, numerical experiments are conducted to compare the flexible transit system with its two variants. The results show that the flexible transit system proposed in this paper outperforms the other two variants. The higher the access cost is, the more it would tilt towards the flexible transit system with a significant margin. Besides, the flexible transit system in a radial pattern competes more effectively than that in a grid structure. This is encouraging because the proposed transit system can be applied in a number of real-world cases.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of a Flexible Transit Network in a Radial Street Pattern

Shi

Gao

2020

Journal of Advanced Transportation

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“…Similarly, research by Tirachini et al (2010) and Badia et al (2014) use polar coordinate systems for optimising radial transit corridors. Saidi et al (2016Saidi et al ( , 2017 developed a model that takes various cost effects into account and computes generalised transit passenger cost for a given network. However, the model relies on a detailed and static evaluation of the network.…”

Section: Introductionmentioning

confidence: 99%

Modelling growth principles of metropolitan public transport networks

Cats¹,

Vermeulen²,

Warnier³

et al. 2020

Journal of Transport Geography

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The development of metropolitan public transport networks often involves choosing between investing in extending radial lines or constructing ring connections. While the former enlarges network coverage the latter enhances network connectivity and reduces the need to perform detours. Moreover, investments might be better directed at increasing the capacity of already existing infrastructure. In this study we address the following question: how do transport networks in metropolitan areas evolve over time and how can we effectively model this growth as function of demand and cost function? The goal of this study is to determine the fundamental relations between population distribution, modal costs on the prevailing network structure and its evolution. The approach taken in this study offers a theoretical contribution to the field of transport network growth by combining principles from several research streams: transport geography, economics of network growth and network science. We propose an iterative investment model network analysis framework. The results of the network growth experiments manifest an overall trend in network growth with an early phase of expansion of the network, followed by a period of intensification manifested in capacity increments and finally adding some links that contribute to its densification. Furthermore, our findings suggest that bus networks include more ringradial connections than Light Rail Train and Metro networks which are more concentrated on radial connections.

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“…The on-demand routing and scheduling features of the envisaged service also sets it apart from studies for planning transit lines with specific network design features, often in urban settings (e.g. Saidi et al, 2016;Fielbaum et al, 2016 ), and methods for designing timetables that better cater for dynamic demand patterns ( Sun et al, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

Optimal infrastructure capacity of automated on-demand rail-bound transit systems

Cats

Haverkamp

2018

Transportation Research Part B: Methodological

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Fully-automated services potentially allow for greater flexibility in operations and lower marginal operational costs. The objective of this study is to determine the capacity requirements of an envisaged automated on-demand rail-bound transit system which offers a direct non-stop service. An optimization model is formulated for determining the optimal track and station platform capacities for an on-demand rail transit system so that passenger, infrastructure and operational costs are minimized. The macroscopic model allows for studying the underlying relations between technological, operational and demand parameters, optimal capacity settings and the obtained cost components. The model is applied to a series of numerical experiments followed by its application to part of the Dutch railway network. The performance is benchmarked against the existing service, suggesting that in-vehicle times can be reduced by 10% in the case study network while the optimal link and station capacity allocation is comparable to those currently available in the case study network. While network geometry and demand distribution are always the underlying determinants of both service frequencies and in-vehicle times, line configuration is only a determinant in the conventional system, whereas the automated on-demand rail service better caters for the prevailing demand relations, resulting in greater variations in service provision. A series of sensitivity analyses are performed to test the consequences of a range of network structures, technological capabilities, operational settings, cost functions and demand scenarios for future automated on-demand rail-bound systems.

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Long-term planning for ring-radial urban rail transit networks

Cited by 54 publications

References 39 publications

Analysis of a Flexible Transit Network in a Radial Street Pattern

Analysis of a Flexible Transit Network in a Radial Street Pattern

Modelling growth principles of metropolitan public transport networks

Optimal infrastructure capacity of automated on-demand rail-bound transit systems

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